topic Re: Help with renaming Variables based on table values in SAS Procedures

Help with renaming Variables based on table values

cypher85 — Mon, 26 Mar 2012 19:52:51 GMT

I need to rename a variable based on a table value found within another dataset. So for instance I have two datasets. One dataset contains variables named variable1 and variable2. Now, in dataset2 I have variables that are named with values found in variable1 (For instance, if variable1 in Dataset 1 has values of A,B, and C, and variable2 has values of 1,2,3 and the variable names of variables found in dataset2 are A,B,C. I would want to rename the variables to 1,2,and 3 respectively) , and I wish to rename these variables to the value found in variable2. Essentially what I need is, when a variable name matches a particular value then I need to rename that variable to another value. Hopefully someone can help me out! Thanks alot

Help with renaming Variables based on table values

Linlin — Mon, 26 Mar 2012 19:57:16 GMT

sas variable names can't start with numbers.

Re: Help with renaming Variables based on table values

cypher85 — Mon, 26 Mar 2012 20:00:24 GMT

Thank you for your response. However, those were just examples, and aren't my actual variable names. Essentially what I need to do is rename variables based on values found in another data set. So if I were to modify my original question so that variable names don't begin with numbers, it would be:

I need to rename a variable based on a table value found within another dataset. So for instance I have two datasets. One dataset contains variables named variable1 and variable2. Now, in dataset2 I have variables that are named with values found in variable1 (For instance, if variable1 in Dataset 1 has values of A,B, and C, and variable2 has values of E,F,G and the variable names of variables found in dataset2 are A,B,C. I would want to rename the variables to E,F,and G respectively) , and I wish to rename these variables to the value found in variable2. Essentially what I need is, when a variable name matches a particular value then I need to rename that variable to another value.

Re: Help with renaming Variables based on table values

data_null__ — Mon, 26 Mar 2012 20:05:29 GMT

Make example data sets as post them here, as SAS code not attachments.

Re: Help with renaming Variables based on table values

cypher85 — Mon, 26 Mar 2012 20:21:10 GMT

Here is something that I quickly just wrote to create datasets a and b,

data a;

mapped_name = "b10";

if mapped_name = "b10" then online_name = "FirstDose";

run;

data b;

b10 = 3;

run;

Now what I want to do, is to be able to change the variable name (b10) in dataset B to Firstdose (the value of online_name in dataset A). So I want to update the name in Dataset B so that when the variable name matches the value of Mapped_name in dataset A then the variable in Dataset B is renamed with the value found in online_name in Dataset A. This is a on a very small scale using one set of variables, but the data sets I'm actually working with have thousands of variables and need to have the variable names renamed based on the values in another dataset. I hope this is making sense, I think I am having difficulty articulating what exactly it is I am trying to do.

Re: Help with renaming Variables based on table values

Tom — Mon, 26 Mar 2012 20:38:51 GMT

Sounds like you have a mapping file that list original name an new name.

data renames ;
  input ( original newname) (:$32.);
cards;
b10 FirstDose
run;
data b;
b10 = 3;
run;
proc sql noprint ;
  select catx('=',original,newname)
    into :rename separated by ' '
  from dictionary.columns d
     , renames r
  where d.libname='WORK'
    and d.memname='B'
    and upcase(d.name) = upcase(r.original)
  ;
quit;
proc datasets nolist lib=work;
  modify b ;
  rename &rename ;
run;
quit;

Re: Help with renaming Variables based on table values

Haikuo — Mon, 26 Mar 2012 21:35:01 GMT

Like it.

Especially the proc datasets part of the code. Before seeing Tom's code, I would have chosen data step, and then Tom's code flashed back my memory that 'Proc datasets; modify;' only does the rename by processing the descriptor part of the data, therefore, very efficient!

Thanks for sharing, Tom.

Haikuo

Re: Help with renaming Variables based on table values

Haikuo — Tue, 27 Mar 2012 00:13:02 GMT

One thing to keep in mind that data step variable name length limit is 32 character, while the character variable value could up to 32k in length.

Regards,

Haikuo

Re: Help with renaming Variables based on table values

Linlin — Tue, 27 Mar 2012 00:33:40 GMT

Hi Tom,

How can you come up with so nice,short code? look at my code:

data renames ;

input ( original newname) (:$32.);

cards;

b10 FirstDose

b11 SecondDose

b12 third

run;

data b;

b10 =3;

b11=8;

b13=9;

run;

proc sql noprint;

select quote(trim(name)) into

:names separated by ','

from dictionary.columns

where libname='WORK' AND memname='B';

create table temp as

select * from renames

where original in (&names);

select catx('=',original,newname)

into :rename separated by ' '

from temp;

quit;

%put &rename;

proc datasets nolist lib=work;

modify b ;

rename &rename;

run;

quit;

Re: Help with renaming Variables based on table values

Tom — Tue, 27 Mar 2012 05:46:59 GMT

You just need to recognize where you can combine steps. So rather than pulling a list of variable names and then in a separate step checking if they are in the rename list you can combine that into one step. Similarly with the output to a macro variable.

Re: Help with renaming Variables based on table values

Ksharp — Tue, 27 Mar 2012 08:29:44 GMT

My code is shorter and better than Tom's .

data renames ;
  input ( original newname) (:$32.);
cards;
b10 FirstDose
run;

data b;
b10 = 3;
run;
data _null_;
 set renames end=last;
 if _n_ eq 1 then call execute('proc datasets nolist lib=work; modify b;rename');
 call execute(catx('=',original,newname));
 if last then call execute(';quit;');
run;

Ksharp

Re: Help with renaming Variables based on table values

Linlin — Tue, 27 Mar 2012 12:28:20 GMT

Thank you Tom! - Linlin

Re: Help with renaming Variables based on table values

Haikuo — Tue, 27 Mar 2012 12:31:02 GMT

This is also great! Still, Tom's code is less harsher on my brain

:smileysilly:

Edit: Ksharp, your code only works when 'rename' is sort of subset to 'b', otherwise, there will be error message:

data renames ;

input ( original newname) (:$32.);

cards;

b10 FirstDose

a10 adfadsf

;

run;

data b;

b10 = 3;

output;

a11=4;

output;

run;

data _null_;

set renames end=last;

if _n_ eq 1 then call execute('proc datasets nolist lib=work; modify b;rename');

call execute(catx('=',original,newname));

if last then call execute(';quit;');

run;

Re: Help with renaming Variables based on table values

cypher85 — Tue, 27 Mar 2012 12:39:12 GMT

Thank you all very much! This has been a big help. However, I am a fairly big sas noob. And Tom's code works great for the example. Though I am having difficulty adapting it to my actual datasets. My two datasets are named list (mapping file that list original name and new name, This corresponds to the dataset "renames" in Tom's code, and my variable names in "list" are "mapped_name" and "online_name", which correspond to "original" and "newname" in Tom's code respectively), and list2 (Dataset which corresponds to dataset "B" in Tom's code). Now "list2" has over 1000 variables that need to be renamed based on the values found in "list". I know this is such a noob thing to ask, but how would I modify Tom's code to change:

a) all of the variables at once

and

B) only one variable if I want or need to

And again thank you all so much for your help.

Re: Help with renaming Variables based on table values

data_null__ — Tue, 27 Mar 2012 13:20:35 GMT

If the meta data contain names that are not in the objective data then you don't want to create rename statements for those records. Also if there are MANY variables to be renamed it is possible that a macro variable might not be big enough to hold the entire rename statement. This modification of Tom's program address those possibilities.

data renames;
   input (original newname) (:$32.);
   cards;
B1  NewB1
B2  NewB2
b10 FirstDose
b11 SecondDose
b12 third
   run;
 
 
 
data b;
   b10=3;
   b11=8;
   b13=9;
   run;
 
proc sql noprint;
   create table names1 
      as select name 
      from dictionary.columns 
      where libname='WORK' AND memname='B';
   create table newnames as
      select * from renames
      where upcase(original) eq ANY (select upcase(name) from names1); 
   quit;
   run;
filename FT44F001 temp;
data _null_;
   file FT44F001;
   set newnames end=eof;
   if _n_ eq 1 then put +3 'Rename';
   put +6 original '=' newname;
   if eof then put ';';
   run;
 
 
proc datasets nolist lib=work;
   modify b;
      %inc FT44F001 / source2;
      run;
   contents data=b;
   quit;

Re: Help with renaming Variables based on table values

Tom — Tue, 27 Mar 2012 15:05:17 GMT

For most single datasets a macro variable should hold all the rename pairs. Even if both old and new names are the maximum 32 characters each you can rename 493 varaibles.

But using a data step to generate the code is easier to adapt to renaming variables in multiple datasets in a single pass.

Re: Help with renaming Variables based on table values

Tom — Tue, 27 Mar 2012 15:10:44 GMT

To rename a single variable you can just use the PROC MODIFY code and type your own RENAME command.

To limit the set of variables to rename then add more logic to subset the set of matched variables. (Such as and original='B10' )

If your old and new names are 8 characters each then you can store 1833 pairs into a single macro variable. If the names are 32 characters each then only 493.

Are you saying that your individual datasest that you want to rename over 1000 variables?

How would you even use such a dataset?

Re: Help with renaming Variables based on table values

cypher85 — Tue, 27 Mar 2012 15:58:07 GMT

Thanks! We are working with data where the vars have two interchangable names. One we use departmentally, and the other we use across multiple departments. So we need to be able to interchange them easily. So I am "trying" to write a macro. If anyone could provide assistance in turning the following code into a macro it would be much appreciated. Ideally, I would have two macros, or 1 macro that accomplished two things. I want the ability to be able to change the name of all variables in the dataset, or just an individual variable. So I am thinking it would be a single macro where the call would be something like %varchange (*) or for an individual variable (let's say B9_28 for example) it would be %varchange(B9_28). I just don't know exactly how to do this. Any macro I have tried to write has failed on the first step of creating "renames".

data renames ;

input ( original newname) (:$32.);

cards;

Mapped_name Online_Name

B9_ submitdate

B9_ cannotfillout

B9_ otherspecify

B9_28 dateofeval

B9_29 position

B9_30 otherspecify__1

B9_31 attending

B9_1 weight

B9_2 breastpain

B9_3 karnofsky_kps

B9_4_2 areas_scar

B9_4_3 areas_fold1

B9_4_4 areas_fold2

B9_4_5 areas_other

B9_4_1 areas_na

B9_4_6 moistelsewhere

B9_5_2 areas2_scar

B9_5_3 areas2_fold1

B9_5_4 areas2_fold2

B9_5_5 areas2_other

B9_5_1 areas2_na

B9_5_6 dryelsewhere

B9_6_1 breasterythema

B9_6_2 locationerythema_scar

B9_6_3 locationerythema_fold1

B9_6_4 locationerythema_fold2

B9_6_5 locationerythema_other

B9_7_1 rectreatments_calendula

B9_7_2 rectreatments_aquaphor

B9_7_3 rectreatments_alra

B9_7_4 rectreatments_miaderm

B9_7_5 rectreatments_biafene

B9_7_6 rectreatments_silvadene

B9_7_7 rectreatments_aloe

B9_7_8 rectreatments_corn

B9_7_9 rectreatments_hydrogel

B9_7_10 rectreatments_domeboro

B9_7_11 rectreatments_topical

B9_7_12 rectreatments_other1

B9_7_14 rectreatments_other2

B9_7_16 rectreatments_oral

B9_7_17 rectreatments_other3

B9_7_19 rectreatments_other4

B9_7_13 other1

B9_7_15 other2

B9_7_18 other3

B9_7_20 other4

B9_8_1 boostvolume

B9_8_2 boostotherspecify

B9_9_1 ifctboosttumorbed

B9_9_2 tumorbedother

B9_10 startdate__1

B9_11 enddate

B9_12 treatmentbreak

B9_13 treatmentbreak5days

B9_14 adverseevent_breast

B9_15 adverseevent_lymphedema

B9_16 adverseevent_radiation

B9_17 adverseevent_pruritus

B9_18 adverseevent_skin1

B9_19 adverseevent_skin2

B9_20 adverseevent_skin3

B9_21 adverseevent_chest

B9_22 adverseevent_pericarditis

B9_23 adverseevent_pericardial

B9_24 adverseevent_dyspnea

B9_25 adverseevent_pleuritic

B9_26 adverseevent_pneumonitis

B9_27 adverseevent_fatigue

B10_ submitdate

B10_ cannotfillout

B10_ otherspecify

B10_9 dateofeval

B10_10 position

B10_11 otherspecify__1

B10_12 attending

B10_1 weight

B10_2 breastpain

B10_3 karnofsky_1

B10_4_2 areas_near

B10_4_3 areas_fold1

B10_4_4 areas_fold2

B10_4_5 areas_other

B10_4_1 areas_na

B10_4_6 moistelsewhere

B10_5_2 areas2_near

B10_5_3 areas2_fold1

B10_5_4 areas2_fold2

B10_5_5 areas2_other

B10_5_1 areas2_na

B10_5_6 dryelsewhere

B10_6_1 breasterythema

B10_6_2 locationerythema_near

B10_6_3 locationerythema_fold1

B10_6_4 locationerythema_fold2

B10_6_5 locationerythema_other

B10_7_1 rectreatments_calendula

B10_7_2 rectreatments_aquaphor

B10_7_3 rectreatments_alra

B10_7_4 rectreatments_miaderm

B10_7_5 rectreatments_biafene

B10_7_6 rectreatments_silvadene

B10_7_7 rectreatments_aloe

B10_7_8 rectreatments_corn

B10_7_9 rectreatments_hydrogel

B10_7_10 rectreatments_domeboro

B10_7_11 rectreatments_topical

B10_7_12 rectreatments_other1

B10_7_14 rectreatments_other2

B10_7_16 rectreatments_oral

B10_7_17 rectreatments_other3

B10_7_19 rectreatments_other4

B10_7_13 other1

B10_7_15 other2

B10_7_18 other3

B10_7_20 other4

B10_8_1 adverseevent_breast

B10_8_2 adverseevent_lymphedema

B10_8_3 adverseevent_radiation

B10_8_4 adverseevent_pruritus

B10_8_5 adverseevent_skin1

B10_8_6 adverseevent_skin2

B10_8_7 adverseevent_skin3

B10_8_8 adverseevent_chest

B10_8_9 adverseevent_pericarditis

B10_8_10 adverseevent_pericardial

B10_8_11 adverseevent_dyspnea

B10_8_12 adverseevent_pleuritic

B10_8_13 adverseevent_pneumonitis

B10_8_14 adverseevent_fatigue

B1_ submitdate

B1_ cannotfillout

B1_ otherspecify

B1_18 dateofeval

B1_1A painrating_worst

B1_1B painrating_least

B1_1C painrating_average

B1_1D painrating_now

B1_2 paintreatment

B1_3_1 redness

B1_3_A1 whereredness_near

B1_3_A2 whereredness_fold1

B1_3_A3 whereredness_fold2

B1_3_A4 whereredness_other

B1_3_B1 severeofredness_faint

B1_3_B2 severeofredness_pink

B1_3_B3 severeofredness_red

B1_4_1 darkness

B1_4_A1 wheredark_scar

B1_4_A2 wheredark_fold1

B1_4_A3 wheredark_fold2

B1_4_A4 wheredark_other

B1_4_B1 severeofdark_faint

B1_4_B2 severeofdark_dark

B1_4_B3 severeofdark_very

B1_5_1 skinpeel

B1_5_A1 wherepeel_near

B1_5_A2 wherepeel_fold1

B1_5_A3 wherepeel_fold2

B1_5_A4 wherepeel_other

B1_5_B sizepeel

B1_5_C wetdrypeel

B1_5_D1 skintreatment

B1_5_D2 whatskintreatments_calendula

B1_5_D3 whatskintreatments_aquaphor

B1_5_D4 whatskintreatments_alra

B1_5_D5 whatskintreatments_miaderm

B1_5_D6 whatskintreatments_biafene

B1_5_D7 whatskintreatments_silvadene

B1_5_D8 whatskintreatments_aloe

B1_5_D9 whatskintreatments_corn

B1_5_D10 whatskintreatments_hydrogel

B1_5_D11 whatskintreatments_domeboro

B1_5_D12 whatskintreatments_topical

B1_5_D13 whatskintreatments_other1

B1_5_D15 whatskintreatments_other2

B1_5_D17 whatskintreatments_oral

B1_5_D18 whatskintreatments_other3

B1_5_D14 othertopical

B1_5_D16 otherantiinflam

B1_5_D19 otheroral

B1_6 education

B1_7_1 maritalstatus_1

B1_7_2 maritalstatus_2

B1_7_3 maritalstatus_3

B1_7_4 maritalstatus_4

B1_7_5 maritalstatus_5

B1_7_6 maritalstatus_6

B1_7_7 maritalstatus_7

B1_8_1 race

B1_8_2 otherrace

B1_9 hispanic

B1_10 height

B1_11 weight

B1_12 brasize

B1_13 prescriptions

B1_14_1 insurance_1

B1_14_2 insurance_2

B1_14_3 insurance_3

B1_14_4 insurance_4

B1_14_5 insurance_5

B1_14_6 insurance_6

B1_15 sleepproblems

B1_16_1 sleep_falling

B1_16_2 sleep_staying

B1_16_3 sleep_waking

B1_17 sleepsatisfaction

B2_ submitdate

B2_ cannotfillout

B2_ otherspecify

B2_7 dateofeval

B2_1A painrating_worst

B2_1B painrating_least

B2_1C painrating_average

B2_1D painrating_now

B2_2 paintreatment

B2_3_1 redness

B2_3_A1 whereredness_near

B2_3_A2 whereredness_fold1

B2_3_A3 whereredness_fold2

B2_3_A4 whereredness_other

B2_3_B severeofredness

B2_4_1 darkness

B2_4_A1 wheredark_scar

B2_4_A2 wheredark_fold1

B2_4_A3 wheredark_fold2

B2_4_A4 wheredark_other

B2_4_B severeofdark

B2_5_1 skinpeel

B2_5_A1 wherepeel_near

B2_5_A2 wherepeel_fold1

B2_5_A3 wherepeel_fold2

B2_5_A4 wherepeel_other

B2_5_B sizepeel

B2_5_C wetdrypeel

B2_5_D1 skintreatment

B2_5_D2 whatskintreatments_calendula

B2_5_D3 whatskintreatments_aquaphor

B2_5_D4 whatskintreatments_alra

B2_5_D5 whatskintreatments_miaderm

B2_5_D6 whatskintreatments_biafene

B2_5_D7 whatskintreatments_silvadene

B2_5_D8 whatskintreatments_aloe

B2_5_D9 whatskintreatments_corn

B2_5_D10 whatskintreatments_hydrogel

B2_5_D11 whatskintreatments_domeboro

B2_5_D12 whatskintreatments_topical

B2_5_D13 whatskintreatments_other1

B2_5_D15 whatskintreatments_other2

B2_5_D17 whatskintreatments_oral

B2_5_D18 whatskintreatments_other3

B2_5_D14 othertopical

B2_5_D16 otherantiinflam

B2_5_D19 otheroral

B2_6_1 pastweek_skin

B2_6_2 pastweek_sting

B2_6_3 pastweek_hurt

B2_6_4 pastweek_swell

B2_6_5 pastweek_others

B2_6_6 pastweek_you

B2_6_7 pastweek_work

B3_ submitdate

B3_ cannotfillout

B3_ otherspecify

B3_18 dateofeval

B3_1A painrating_worst

B3_1B painrating_least

B3_1C painrating_average

B3_1D painrating_now

B3_2 paintreatment

B3_3_1 redness

B3_3_A1 whereredness_near

B3_3_A2 whereredness_fold1

B3_3_A3 whereredness_fold2

B3_3_A4 whereredness_other

B3_3_B1 severeofredness_faint

B3_3_B2 severeofredness_pink

B3_3_B3 severeofredness_red

B3_4_1 darkness

B3_4_A1 wheredark_scar

B3_4_A2 wheredark_fold1

B3_4_A3 wheredark_fold2

B3_4_A4 wheredark_other

B3_4_B1 severeofdark_faint

B3_4_B2 severeofdark_dark

B3_4_B3 severeofdark_very

B3_5_1 skinpeel

B3_5_A1 wherepeel_near

B3_5_A2 wherepeel_fold1

B3_5_A3 wherepeel_fold2

B3_5_A4 wherepeel_other

B3_5_B sizepeel

B3_5_C wetdrypeel

B3_5_D1 skintreatment

B3_5_D2 whatskintreatments_calendula

B3_5_D3 whatskintreatments_aquaphor

B3_5_D4 whatskintreatments_alra

B3_5_D5 whatskintreatments_miaderm

B3_5_D6 whatskintreatments_biafene

B3_5_D7 whatskintreatments_silvadene

B3_5_D8 whatskintreatments_aloe

B3_5_D9 whatskintreatments_corn

B3_5_D10 whatskintreatments_hydrogel

B3_5_D11 whatskintreatments_domeboro

B3_5_D12 whatskintreatments_topical

B3_5_D13 whatskintreatments_other1

B3_5_D15 whatskintreatments_other2

B3_5_D17 whatskintreatments_oral

B3_5_D18 whatskintreatments_other3

B3_5_D14 othertopical

B3_5_D16 otherantiinflam

B3_5_D19 otheroral

B3_6_1 pastweek_skin

B3_6_2 pastweek_sting

B3_6_3 pastweek_hurt

B3_6_4 pastweek_swell

B3_6_5 pastweek_others

B3_6_6 pastweek_you

B3_6_7 pastweek_work

B3_7_1 past4weeks_daily

B3_7_2 past4weeks_bother

B3_7_3 past4weeks_upset

B3_7_4 past4weeks_worth

B3_7_5 past4weeks_stop

B3_8_1 past4weeks1_fatigue

B3_8_2 past4weeks1_pain

B3_8_3 past4weeks1_skin

B3_8_4 past4weeks1_distress

B3_9 inconvenient

B3_10 bothered

B3_11 sideeffects

B3_12 satisfactiontreatmen

B3_13 radiationagain

B3_14 imrt

B3_15_1 agreedisagree_1

B3_15_2 agreedisagree_2

B3_15_3 agreedisagree_3

B3_15_4 agreedisagree_4

B3_15_5 agreedisagree_5

B3_15_6 agreedisagree_6

B3_16_1 past4weeks2_falling

B3_16_2 past4weeks2_staying

B3_16_3 past4weeks2_waking

B3_17 sleepsatisfaction

B4_ submitdate

B4_ cannotfillout

B4_ otherspecify

B4_12 dateofeval

B4_1A painrating_worst

B4_1B painrating_least

B4_1C painrating_average

B4_1D painrating_now

B4_2 paintreatment

B4_3_1 redness

B4_3_A1 whereredness_near

B4_3_A2 whereredness_fold1

B4_3_A3 whereredness_fold2

B4_3_A4 whereredness_other

B4_3_B severeofredness

B4_4_1 darkness

B4_4_A1 wheredark_scar

B4_4_A2 wheredark_fold1

B4_4_A3 wheredark_fold2

B4_4_A4 wheredark_other

B4_4_B severeofdark

B4_5_1 skinpeel

B4_5_A1 wherepeel_near

B4_5_A2 wherepeel_fold1

B4_5_A3 wherepeel_fold2

B4_5_A4 wherepeel_other

B4_5_B sizepeel

B4_5_C wetdrypeel

B4_5_D1 skintreatment

B4_5_D2 whatskintreatments_calendula

B4_5_D3 whatskintreatments_aquaphor

B4_5_D4 whatskintreatments_alra

B4_5_D5 whatskintreatments_miaderm

B4_5_D6 whatskintreatments_biafene

B4_5_D7 whatskintreatments_silvadene

B4_5_D8 whatskintreatments_aloe

B4_5_D9 whatskintreatments_corn

B4_5_D10 whatskintreatments_hydrogel

B4_5_D11 whatskintreatments_domeboro

B4_5_D12 whatskintreatments_topical

B4_5_D13 whatskintreatments_other1

B4_5_D15 whatskintreatments_other2

B4_5_D17 whatskintreatments_oral

B4_5_D18 whatskintreatments_other3

B4_5_D14 othertopical

B4_5_D16 otherantiinflam

B4_5_D19 otheroral

B4_6_1 pastweek_skin

B4_6_2 pastweek_sting

B4_6_3 pastweek_hurt

B4_6_4 pastweek_swell

B4_6_5 pastweek_others

B4_6_6 pastweek_you

B4_6_7 pastweek_work

B4_7A q_4ptrating_1

B4_7B q_4ptrating_2

B4_7C q_4ptrating_3

B4_7D q_4ptrating_4

B4_7E q_4ptrating_5

B4_7F q_4ptrating_6

B4_7G q_4ptrating_7

B4_7H q_4ptrating_8

B4_7I q_4ptrating_9

B4_7J q_4ptrating_10

B4_7K q_4ptrating_11

B4_7L q_4ptrating_12

B4_7M q_4ptrating_13

B4_7N q_4ptrating_14

B4_7O q_4ptrating_15

B4_7P q_4ptrating_16

B4_7Q q_4ptrating_17

B4_7R q_4ptrating_18

B4_7S q_4ptrating_19

B4_7T q_4ptrating_20

B4_7U q_4ptrating_21

B4_7V q_4ptrating_22

B4_8 satisfaction

B4_9 doagain

B4_10_1 past4weeks_going

B4_10_2 past4weeks_staying

B4_10_3 past4weeks_waking

B4_11 sleepsatisfaction

B5_ submitdate

B5_38 providerid

B5_39 dateofeval

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B5_2_2 height

B5_3_A1 stage_t

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B5_3_A3 stage_m

B5_3_B1 stage2_t

B5_3_B2 stage2_n

B5_3_B3 stage2_m

B5_4_1 histology

B5_4_2 histologyotherspec

B5_5_1 er

B5_5_2 er_

B5_6_1 pr

B5_6_2 pr_

B5_7 her2neu

B5_8 method

B5_9 lumpectomies

B5_10 dateoflast

B5_11_1 marginstatus

B5_11_2 mmfrommargin

B5_12_1 axsurgery_none

B5_12_2 axsurgery_alnd

B5_12_3 axsurgery_snb

B5_12_4 axsurgery_samp

B5_12_5 axsurgery_other

B5_12_6 otherspec

B5_13 numbertaken

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B5_15 smoker

B5_16 formersmoker

B5_17 packyears

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B5_20 does_scl

B5_21 does_ra

B5_22 does_aids

B5_23 does_cd

B5_24 does_cpd

B5_25 does_chf

B5_26 does_ctd

B5_27 does_dem

B5_28 does_hem

B5_29 does_leuk

B5_30 does_ml

B5_31 does_mi

B5_32 does_pvd

B5_33 does_ud

B5_34 does_dm

B5_35 does_ld

B5_36 does_rd

B5_37 does_mst

B6_ submitdate

B6_1 chemotherapy

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B7_12 adverseevent_skin3

B7_13 adverseevent_chest

B7_14 adverseevent_pericarditis

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B7_3_1 location_na

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B7_3_3 location_fold1

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B8_ otherspecify

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B8_4 toxicityscoring_lymphedema

B8_5 toxicityscoring_dermatitis

B8_6 toxicityscoring_chest

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B8_1_1 moistdesquamation_1

B8_1_2 moistdesquamation_2

B8_1_3 moistdesquamation_3

B8_1_4 moistdesquamation_4

B8_1_5 moistdesquamation_5

B8_1_6 elsewherespecify

B8_2_1 drydesquamation_1

B8_2_2 drydesquamation_2

B8_2_3 drydesquamation_3

B8_2_4 drydesquamation_4

B8_2_5 drydesquamation_5

B8_2_6 elsewherespecify__1

L1_ submitdate

L1_ cannotfillout

L1_ otherspecify

L1_36 dateofeval

L1_1 past7days_energy

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L1_3 past7days_family

L1_4 past7days_pain

L1_5 past7days_effects

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L1_8 past7days_work

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L1_23 smoking

L1_24 smokingarray_smoke

L1_25 symptoms_cough

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L1_27 symptoms_breath1

L1_28 symptoms_breath2

L1_29 symptoms_breath3

L1_30 symptoms_swallow

L1_31 symptoms_pain

L1_32 medicine

L1_33 medicinehelp_help

L1_34_1 race_amind

L1_34_2 race_asian

L1_34_3 race_pacisl

L1_34_4 race_afam

L1_34_5 race_white

L1_34_6 race_other

L1_34_7 raceother

L1_35 hispanic

L2_ submitdate

L2_ cannotfillout

L2_ otherspecify

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L2_2 swallowability

L2_3 treatmentweek

L3_ submitdate

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L3_34 dateofeval

L3_1 past7days_energy

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L3_23 smoking

L3_24 smokingarray_smoke

L3_25 symptoms_cough

L3_26 symptoms_blood

L3_27 symptoms_breath1

L3_28 symptoms_breath2

L3_29 symptoms_breath3

L3_30 symptoms_swallow

L3_31 symptoms_pain

L3_32 medicine

L3_33 medicinehelp_help

L4_ submitdate

L4_34 providerid

L4_35 dateofeval

L4_1 weight

L4_2_1 bmi

L4_2_2 height

L4_3 kps_kps

L4_4_1 tumorstage_t

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L4_4_4 groupstage

L4_5_1 histology

L4_5_2 histologyother

L4_6_1 tumorlocation_rul

L4_6_2 tumorlocation_rml

L4_6_3 tumorlocation_rll

L4_6_4 tumorlocation_lul

L4_6_5 tumorlocation_lll

L4_6_6 tumorlocation_ss

L4_7_1 surgicalresection

L4_7_2 resectiondate

L4_7_3 marginstatus

L4_8_1 q_02prior

L4_8_2 liters

L4_8_3 when02used_always

L4_8_4 when02used_night

L4_8_5 when02used_day

L4_8_6 when02used_wsob

L4_9 inhalers

L4_10_1 pulmonaryfunction_fev1_1

L4_10_2 pulmonaryfunction_pred1_1

L4_10_3 pulmonaryfunction_dlco_1

L4_10_4 pulmonaryfunction_pred2_1

L4_11 currentsmoker

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L4_13 packyears

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L4_18 does_aids

L4_19 does_cd

L4_20 does_cpd

L4_21 does_chf

L4_22 does_ctd

L4_23 does_dem

L4_24 does_hem

L4_25 does_leuk

L4_26 does_ml

L4_27 does_mi

L4_28 does_pvd

L4_29 does_ud

L4_30 does_dm

L4_31 does_ld

L4_32 does_rd

L4_33 does_mst

L5_ submitdate

L5_1 chemotherapy

L5_2_1 ifyeschemo_neo

L5_2_2 ifyeschemo_adj

L5_2_3 ifyeschemo_con

L5_2_4 neowhen_surg

L5_2_5 neowhen_rad

L5_2_6 neoconditional_1

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L5_2_11 neoconditional_6

L5_2_12 neoconditional_7

L5_2_13 neoconditional_8

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L5_2_18 adjuvantconditional_2

L5_2_19 adjuvantconditional_3

L5_2_20 adjuvantconditional_4

L5_2_21 adjuvantconditional_5

L5_2_22 adjuvantconditional_6

L5_2_23 adjuvantconditional_7

L5_2_24 adjuvantconditional_8

L5_2_25 adjuvantconditional_9

L5_2_26 adjuvantotherspecify

L5_2_27 adjuvantend

L5_2_28 concurrentwhen_psurg

L5_2_29 concurrentwhen_asurg

L5_2_30 concurrentwhen_witho

L5_2_31 concurrentconditiona_1

L5_2_32 concurrentconditiona_2

L5_2_33 concurrentconditiona_3

L5_2_34 concurrentconditiona_4

L5_2_35 concurrentconditiona_5

L5_2_36 concurrentconditiona_6

L5_2_37 concurrentconditiona_7

L5_2_38 concurrentconditiona_8

L5_2_39 concurrentconditiona_9

L5_2_40 concurrentotherspec

L5_2_41 concurrentend

L6_ submitdate

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L6_ otherspecify

L6_13 dateofeval

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L6_3 adverseevent_1

L6_4 adverseevent_2

L6_5 adverseevent_3

L6_6 adverseevent_4

L6_7 adverseevent_5

L6_8 adverseevent_6

L6_9 adverseevent_7

L6_10 adverseevent_8

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L6_12 adverseevent_10

L6_15 weightloss

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L7_ otherspecify

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L7_4 toxicityscoring_esophageal

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L8_ submitdate

L8_ cannotfillout

L8_ otherspecify

L8_10 dateofeval

L8_11 position

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L8_13 attending

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L8_3 enddate

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L8_8 karnofsky_kps

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L8_9_3 adverseevent_fatigue

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L8_9_6 adverseevent_pleuriticpain

L8_9_7 adverseevent_pneumonitis

L8_9_8 adverseevent_pericarditis

L8_9_9 adverseevent_pericardialeffusion

L8_9_10 adverseevent_dermatitis

L9_ submitdate

L9_ cannotfillout

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L9_8 dateofeval

L9_9_1 position

L9_9_2 positionother

L9_10 attending

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L9_6 diseasestatus

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L9_7_6 adverseevent_pleuriticpain

L9_7_7 adverseevent_pneumonitis

L9_7_8 adverseevent_pericarditis

L9_7_9 adverseevent_pericardialeffusion

L9_7_10 adverseevent_dermatitis

BRTD_ submitdate

BRTD_1_1 position

BRTD_1_2 otherspecify

BRTD_2_1 systemimmobilization_1

BRTD_2_2 systemimmobilization_2

BRTD_2_3 systemimmobilization_3

BRTD_2_4 systemimmobilization_4

BRTD_2_5 systemimmobilization_5

BRTD_2_6 otherspecify__1

BRTD_3_1 breastimmobilized_1

BRTD_3_2 breastimmobilized_2

BRTD_3_3 breastimmobilized_3

BRTD_3_4 breastimmobilized_4

BRTD_3_5 breastimmobilized_5

BRTD_3_6 breastimmobilized_6

BRTD_3_7 thermoplasticcm

BRTD_3_8 breastcupcm

BRTD_3_9 patientsbracm

BRTD_3_10 custombracm

BRTD_3_11 otherspecify_mat

BRTD_3_12 otherspecify_thick

BRTD_4_1 compositionofdevice_1

BRTD_4_2 compositionofdevice_2

BRTD_4_3 compositionofdevice_3

BRTD_4_4 compositionofdevice_4

BRTD_4_5 compositionofdevice_5

BRTD_4_6 compositionofdevice_6

BRTD_4_7 otherspecify__2

BRTD_5 armposition

BRTD_6_1 primaryimaging

BRTD_6_2 otherspecify__3

BRTD_7_1 methodsused_1

BRTD_7_2 methodsused_2

BRTD_7_3 methodsused_3

BRTD_7_4 methodsused_4

BRTD_7_5 methodsused_5

BRTD_7_6 methodsused_6

BRTD_7_7 otherspecify__4

BRTD_8_1 minimizerespiration_1

BRTD_8_2 minimizerespiration_2

BRTD_8_3 minimizerespiration_3

BRTD_8_4 minimizerespiration_4

BRTD_8_5 minimizerespiration_5

BRTD_8_6 gatingradiotherapy

BRTD_8_7 otherspecify__5

BRTD_9 resimulated

BRTD_10_1 boostsimulationposit

BRTD_10_2 otherspecify__6

BRTD_11 clinicalborders

BRTD_12 breastcontours

BRTD_13_1 regionalnodes

BRTD_13_2 yesregionalnodes_1

BRTD_13_3 yesregionalnodes_2

BRTD_13_4 yesregionalnodes_3

BRTD_13_5 yesregionalnodes_4

BRTD_13_6 yesregionalnodes_5

BRTD_13_7 otherspecify__7

BRTD_14 lumpectomycavity

BRTD_15 lumpectomycontour

BRTD_16_1 othermodalities_1

BRTD_16_2 othermodalities_2

BRTD_16_3 othermodalities_3

BRTD_16_4 othermodalities_4

BRTD_16_5 othermodalities_5

BRTD_16_6 othermodalities_6

BRTD_16_7 othermodalities_7

BRTD_16_8 otherspecify__8

BRTD_17_1 plantypes_1

BRTD_17_2 plantypes_2

BRTD_17_3 plantypes_3

BRTD_17_4 plantypes_4

BRTD_17_5 plantypes_5

BRTD_18_1 techniquereason_1

BRTD_18_2 techniquereason_2

BRTD_18_3 techniquereason_3

BRTD_18_4 techniquereason_4

BRTD_18_5 techniquereason_5

BRTD_18_6 techniquereason_6

BRTD_18_7 techniquereason_7

BRTD_18_8 otherspecify__9

BRTD_19_1 beamenergies_1

BRTD_19_2 beamenergies_4

BRTD_20_1 photondose

BRTD_20_2 otherspecify__10

BRTD_21_1 dosecalculation

BRTD_21_2 otherspecify__11

BRTD_22 heterogeneitycorrect

BRTD_23_1 doselimits_1

BRTD_23_2 doselimits_2

BRTD_23_3 doselimits_3

BRTD_23_4 doselimits_4

BRTD_23_5 doselimits_5

BRTD_23_6 doselimits_6

BRTD_23_7 doselimits_7

BRTD_23_8 doselimits_8

BRTD_23_9 doselimits_9

BRTD_23_10 v20percentorcc

BRTD_23_11 v10percentorcc

BRTD_23_12 v5percentorcc

BRTD_23_13 otherspecify__12

BRTD_23_14 specifymeanlungdose

BRTD_23_15 otherspecify__13

BRTD_24_1 avoidancestructures_1

BRTD_24_2 avoidancestructures_2

BRTD_24_3 avoidancestructures_3

BRTD_24_4 avoidancestructures_4

BRTD_24_5 avoidancestructures_5

BRTD_24_6 avoidancestructures_6

BRTD_24_7 avoidancestructures_7

BRTD_24_8 avoidancestructures_8

BRTD_24_9 otherspecify__14

BRTD_25_1 breathingmotion_1

BRTD_25_2 breathingmotion_2

BRTD_25_3 breathingmotion_3

BRTD_25_4 breathingmotion_4

BRTD_25_5 otherspecify__15

BRTD_26_1 numberbeamenergies

BRTD_26_2 combo1energy_1

BRTD_26_3 combo1type

BRTD_26_4 combo1angle

BRTD_26_5 combo1location

BRTD_26_6 combo1otherspecify

BRTD_26_7 combo2energy_1

BRTD_26_8 combo2type

BRTD_26_9 combo2angle

BRTD_26_10 combo2location

BRTD_26_11 combo2otherspecify

BRTD_26_12 combo3energy_1

BRTD_26_13 combo3type

BRTD_26_14 combo3angle

BRTD_26_15 combo3location

BRTD_26_16 combo3otherspecify

BRTD_26_17 combo4energy_1

BRTD_26_18 combo4type

BRTD_26_19 combo4angle

BRTD_26_20 combo4location

BRTD_26_21 combo4otherspecify

BRTD_26_22 combo5energy_1

BRTD_26_23 combo5type

BRTD_26_24 combo5angle

BRTD_26_25 combo5location

BRTD_26_26 combo5otherspecify

BRTD_26_27 combo6energy_1

BRTD_26_28 combo6type

BRTD_26_29 combo6angle

BRTD_26_30 combo6location

BRTD_26_31 combo6otherspecify

BRTD_26_32 combo7energy_1

BRTD_26_33 combo7type

BRTD_26_34 combo7angle

BRTD_26_35 combo7location

BRTD_26_36 combo7otherspecify

BRTD_26_37 combo8energy_1

BRTD_26_38 combo8type

BRTD_26_39 combo8angle

BRTD_26_40 combo8location

BRTD_26_41 combo8otherspecify

BRTD_26_42 combo9energy_1

BRTD_26_43 combo9type

BRTD_26_44 combo9angle

BRTD_26_45 combo9location

BRTD_26_46 combo9otherspecify

BRTD_26_47 combo10energy_1

BRTD_26_48 combo10type

BRTD_26_49 combo10angle

BRTD_26_50 combo10location

BRTD_26_51 combo10otherspecify

BRTD_27_1 numberappcutouts

BRTD_27_2 combo1aenergy_1

BRTD_27_3 combo1aapplicator_1

BRTD_27_4 combo1aapplicator_2

BRTD_27_5 combo1acutout_1

BRTD_27_6 combo1acutout_2

BRTD_27_7 combo2aenergy_1

BRTD_27_8 combo2aapplicator_1

BRTD_27_9 combo2aapplicator_2

BRTD_27_10 combo2acutout_1

BRTD_27_11 combo2acutout_2

BRTD_27_12 combo3aenergy_1

BRTD_27_13 combo3aapplicator_1

BRTD_27_14 combo3aapplicator_2

BRTD_27_15 combo3acutout_1

BRTD_27_16 combo3acutout_2

BRTD_27_17 combo4aenergy_1

BRTD_27_18 combo4aapplicator_1

BRTD_27_19 combo4aapplicator_2

BRTD_27_20 combo4acutout_1

BRTD_27_21 combo4acutout_2

BRTD_27_22 combo5aenergy_1

BRTD_27_23 combo5aapplicator_1

BRTD_27_24 combo5aapplicator_2

BRTD_27_25 combo5acutout_1

BRTD_27_26 combo5acutout_2

BRTD_27_27 combo6aenergy_1

BRTD_27_28 combo6aapplicator_1

BRTD_27_29 combo6aapplicator_2

BRTD_27_30 combo6acutout_1

BRTD_27_31 combo6acutout_2

BRTD_27_32 combo7aenergy_1

BRTD_27_33 combo7aapplicator_1

BRTD_27_34 combo7aapplicator_2

BRTD_27_35 combo7acutout_1

BRTD_27_36 combo7acutout_2

BRTD_27_37 combo8aenergy_1

BRTD_27_38 combo8aapplicator_1

BRTD_27_39 combo8aapplicator_2

BRTD_27_40 combo8acutout_1

BRTD_27_41 combo8acutout_2

BRTD_27_42 combo9aenergy_1

BRTD_27_43 combo9aapplicator_1

BRTD_27_44 combo9aapplicator_2

BRTD_27_45 combo9acutout_1

BRTD_27_46 combo9acutout_2

BRTD_27_47 combo10aenergy_1

BRTD_27_48 combo10aapplicator_1

BRTD_27_49 combo10aapplicator_2

BRTD_27_50 combo10acutout_1

BRTD_27_51 combo10acutout_2

BRTD_28_1 tissuecompensators

BRTD_28_2 tissuecompyes

BRTD_29_1 doseprescribed

BRTD_29_2 gyreferencepoint

BRTD_29_3 gyisodoseline_1

BRTD_29_4 gyisodoseline_2

BRTD_29_5 gyvolume_1

BRTD_29_6 gyvolume_2

BRTD_30_1 doseregionalnodes

BRTD_30_2 gyreferencepoint__1

BRTD_30_3 gyisodoseline_1__1

BRTD_30_4 gyisodoseline_2__1

BRTD_30_5 gyvolume_1__1

BRTD_30_6 gyvolume_2__1

BRTD_31_1 lumpectomydose

BRTD_31_2 gyreferencepoint__2

BRTD_31_3 gyisodoseline_1__2

BRTD_31_4 gyisodoseline_2__2

BRTD_31_5 gyvolume_1__2

BRTD_31_6 gyvolume_2__2

BRTD_32_1 coveragecriteria

BRTD_32_2 isodosesurfacespecif_1

BRTD_32_3 isodosesurfacespecif_2

BRTD_33_1 doseperandtotal_1

BRTD_33_2 doseperandtotal_2

BRTD_33_3 doseperandtotal_3

BRTD_33_4 doseperandtotal_4

BRTD_33_5 doseperandtotal_5

BRTD_33_6 doseperandtotal_6

BRTD_55 boosttreated

BRTD_34 boosttreatmenttiming

BRTD_35_1 breastchanges

BRTD_35_2 breastyes_1

BRTD_35_3 breastyes_2

BRTD_35_4 lumpectomychanges

BRTD_35_5 lumpectomyyes_1

BRTD_35_6 lumpectomyyes_2

BRTD_35_7 regionalnodeschanges

BRTD_35_8 regionalnodesyes_1

BRTD_35_9 regionalnodesyes_2

BRTD_36 gantryangles

BRTD_37 ifstaticgantry

BRTD_38_1 imrtmethoddelivery

BRTD_38_2 otherspecify__16

BRTD_40 longtabletravel

BRTD_41 modulationfactor

BRTD_39 arctherapydelivery

BRTD_42_1 motionmanagement_1

BRTD_42_2 motionmanagement_2

BRTD_42_3 motionmanagement_3

BRTD_42_4 motionmanagement_4

BRTD_42_5 motionmanagement_5

BRTD_42_6 gatingspecify

BRTD_42_7 otherspecify__17

BRTD_43_1 imagingverifysetup_1

BRTD_43_2 imagingverifysetup_2

BRTD_43_3 imagingverifysetup_3

BRTD_43_4 imagingverifysetup_4

BRTD_43_5 imagingverifysetup_5

BRTD_43_6 otherspecify__18

BRTD_44 oftenimaged

BRTD_45 criteriaforadjusting

BRTD_46 separation_1

BRTD_56 fileupload

BRTD_57 fileupload__filecount

BRTD_47 breastcontourcreate

BRTD_48_1 totalvolumecontour

BRTD_48_2 volumedose_1

BRTD_48_3 volumedose_2

BRTD_48_4 volumedose_3

BRTD_48_5 volumedose_4

BRTD_48_6 volumedose_5

BRTD_49 breastmaxdose

BRTD_50 breastquadrant

BRTD_51_1 lumpectomybed_1

BRTD_51_2 lumpectomybed_2

BRTD_51_3 lumpectomybed_3

BRTD_51_4 lumpectomybed_4

BRTD_52_1 ipsilaterallung_1

BRTD_52_2 ipsilaterallung_2

BRTD_52_3 ipsilaterallung_3

BRTD_52_4 ipsilaterallung_4

BRTD_53_1 contralaterallung_1

BRTD_53_2 contralaterallung_2

BRTD_53_3 contralaterallung_3

BRTD_53_4 contralaterallung_4

BRTD_54_1 heart2cm

BRTD_54_2 heart_1

BRTD_54_3 heart_2

LRTD_ submitdate

LRTD_1_1 immobilized_1

LRTD_1_2 immobilized_2

LRTD_1_3 immobilized_3

LRTD_1_4 immobilized_4

LRTD_1_5 immobilized_5

LRTD_1_6 immobilizedother

LRTD_2_1 patientsarms

LRTD_2_2 otherspecify

LRTD_3_1 imaging

LRTD_3_2 imagingother

LRTD_4 intravenouscontrast

LRTD_5_1 methodsused_1

LRTD_5_2 methodsused_2

LRTD_5_3 methodsused_3

LRTD_5_4 methodsused_4

LRTD_5_5 methodsused_5

LRTD_5_6 methodsused_6

LRTD_5_7 notdeterminedmargin

LRTD_5_8 methodsusedother

LRTD_6_1 minimizerespiration_1

LRTD_6_2 minimizerespiration_2

LRTD_6_3 minimizerespiration_3

LRTD_6_4 minimizerespiration_4

LRTD_6_5 minimizerespiration_5

LRTD_6_6 gatingradiotherapy

LRTD_6_7 otherspecify__1

LRTD_7 resimulated

LRTD_8 resimarmposition

LRTD_9_1 resimimaging_1

LRTD_9_2 resimimaging_2

LRTD_9_3 resimimaging_3

LRTD_9_4 resimimaging_4

LRTD_9_5 resimimaging_5

LRTD_9_6 otherspecify__2

LRTD_10 gtvdefined

LRTD_11 itvdefined

LRTD_12_1 ctvdefined

LRTD_12_2 gtvexpansion

LRTD_13_1 ctvnonuniform_1

LRTD_13_2 ctvnonuniform_2

LRTD_13_3 ctvnonuniform_3

LRTD_13_4 ctvnonuniform_4

LRTD_13_5 ctvnonuniform_5

LRTD_13_6 ctvnonuniform_6

LRTD_14_1 ptvdefined

LRTD_14_2 cmuniformexpansion

LRTD_15_1 entermargins_sup

LRTD_15_2 entermargins_inf

LRTD_15_3 entermargins_ant

LRTD_15_4 entermargins_pos

LRTD_15_5 entermargins_rig

LRTD_15_6 entermargins_lef

LRTD_16_1 lymphnodereason_1

LRTD_16_2 lymphnodereason_2

LRTD_16_3 lymphnodereason_3

LRTD_16_4 lymphnodereason_4

LRTD_17_1 dosecalculation

LRTD_17_2 otherspecify__3

LRTD_18_1 treatmentdelivery

LRTD_18_2 twoormorespecify

LRTD_18_3 otherspecifynumber

LRTD_18_4 plandescription

LRTD_19_1 plantypes_1

LRTD_19_2 plantypes_2

LRTD_19_3 plantypes_3

LRTD_19_4 plantypes_4

LRTD_19_5 plantypes_5

LRTD_20_1 reasonfortechniques_1

LRTD_20_2 reasonfortechniques_2

LRTD_20_3 reasonfortechniques_3

LRTD_20_4 reasonfortechniques_4

LRTD_20_5 reasonfortechniques_5

LRTD_20_6 otherspecify__4

LRTD_21_1 beamenergies_1

LRTD_21_2 beamenergies_4

LRTD_22 heterogeneitycorrect

LRTD_23_1 avoidancestructures_1

LRTD_23_2 avoidancestructures_2

LRTD_23_3 avoidancestructures_3

LRTD_23_4 avoidancestructures_4

LRTD_23_5 avoidancestructures_5

LRTD_23_6 avoidancestructures_6

LRTD_23_7 avoidancestructures_7

LRTD_23_8 avoidancestructures_8

LRTD_23_9 avoidancestructures_9

LRTD_23_10 otherspecify__5

LRTD_24_1 ptvstructures_1

LRTD_24_2 ptvstructures_2

LRTD_24_3 ptvstructures_3

LRTD_24_4 ptvstructures_4

LRTD_24_5 ptvstructures_5

LRTD_24_6 ptvstructures_6

LRTD_24_7 otherspecify__6

LRTD_25_1 smallestdistance

LRTD_25_2 lessthan2cm

LRTD_26_1 bioparameters_1

LRTD_26_2 bioparameters_2

LRTD_26_3 bioparameters_3

LRTD_26_4 bioparameters_4

LRTD_26_5 otherspecify__7

LRTD_27_1 numberbeamenergies

LRTD_27_2 combo1energy_1

LRTD_27_3 combo1type

LRTD_27_4 combo1angle

LRTD_27_5 combo2energy_1

LRTD_27_6 combo2type

LRTD_27_7 combo2angle

LRTD_27_8 combo3energy_1

LRTD_27_9 combo3type

LRTD_27_10 combo3angle

LRTD_27_11 combo4energy_1

LRTD_27_12 combo4type

LRTD_27_13 combo4angle

LRTD_27_14 combo5energy_1

LRTD_27_15 combo5type

LRTD_27_16 combo5angle

LRTD_27_17 combo6energy_1

LRTD_27_18 combo6type

LRTD_27_19 combo6angle

LRTD_27_20 combo7energy_1

LRTD_27_21 combo7type

LRTD_27_22 combo7angle

LRTD_27_23 combo8energy_1

LRTD_27_24 combo8type

LRTD_27_25 combo8angle

LRTD_27_26 combo9energy_1

LRTD_27_27 combo9type

LRTD_27_28 combo9angle

LRTD_27_29 combo10energy_1

LRTD_27_30 combo10type

LRTD_27_31 combo10angle

LRTD_28_1 numberappcutouts

LRTD_28_2 combo1aenergy_1

LRTD_28_3 combo1aapplicator_1

LRTD_28_4 combo1aapplicator_2

LRTD_28_5 combo1acutout_1

LRTD_28_6 combo1acutout_2

LRTD_28_7 combo2aenergy_1

LRTD_28_8 combo2aapplicator_1

LRTD_28_9 combo2aapplicator_2

LRTD_28_10 combo2acutout_1

LRTD_28_11 combo2acutout_2

LRTD_28_12 combo3aenergy_1

LRTD_28_13 combo3aapplicator_1

LRTD_28_14 combo3aapplicator_2

LRTD_28_15 combo3acutout_1

LRTD_28_16 combo3acutout_2

LRTD_28_17 combo4aenergy_1

LRTD_28_18 combo4aapplicator_1

LRTD_28_19 combo4aapplicator_2

LRTD_28_20 combo4acutout_1

LRTD_28_21 combo4acutout_2

LRTD_28_22 combo5aenergy_1

LRTD_28_23 combo5aapplicator_1

LRTD_28_24 combo5aapplicator_2

LRTD_28_25 combo5acutout_1

LRTD_28_26 combo5acutout_2

LRTD_28_27 combo6aenergy_1

LRTD_28_28 combo6aapplicator_1

LRTD_28_29 combo6aapplicator_2

LRTD_28_30 combo6acutout_1

LRTD_28_31 combo6acutout_2

LRTD_28_32 combo7aenergy_1

LRTD_28_33 combo7aapplicator_1

LRTD_28_34 combo7aapplicator_2

LRTD_28_35 combo7acutout_1

LRTD_28_36 combo7acutout_2

LRTD_28_37 combo8aenergy_1

LRTD_28_38 combo8aapplicator_1

LRTD_28_39 combo8aapplicator_2

LRTD_28_40 combo8acutout_1

LRTD_28_41 combo8acutout_2

LRTD_28_42 combo9aenergy_1

LRTD_28_43 combo9aapplicator_1

LRTD_28_44 combo9aapplicator_2

LRTD_28_45 combo9acutout_1

LRTD_28_46 combo9acutout_2

LRTD_28_47 combo10aenergy_1

LRTD_28_48 combo10aapplicator_1

LRTD_28_49 combo10aapplicator_2

LRTD_28_50 combo10acutout_1

LRTD_28_51 combo10acutout_2

LRTD_29 definenormallung

LRTD_30 volumenormallong

LRTD_31_1 dosetargetprescribed

LRTD_31_2 gyreferencepoint

LRTD_31_3 gyisodoseline

LRTD_31_4 isodoseline

LRTD_31_5 volume

LRTD_32_1 coveragecriteria

LRTD_32_2 isodosesurface_1

LRTD_32_3 isodosesurface_2

LRTD_33_1 doseperandtotal1_1a

LRTD_33_2 doseperandtotal1_1b

LRTD_33_3 doseperandtotal2_1

LRTD_33_4 doseperandtotal2_2

LRTD_33_5 doseperandtotal3_1

LRTD_33_6 doseperandtotal3_2

LRTD_33_7 boosttreated

LRTD_33_8 boosttiming

LRTD_34_1 primarytumor

LRTD_34_2 yesprimarytumor_1

LRTD_34_3 yesprimarytumor_2

LRTD_34_4 involvednodes

LRTD_34_5 involvednodesyes_1

LRTD_34_6 involvednodesyes_2

LRTD_34_7 electivenodes

LRTD_34_8 electivenodesyes_1

LRTD_34_9 electivenodesyes_2

LRTD_35 numberstaticgantry

LRTD_36_1 imrtmethoddelivery

LRTD_36_2 otherspecify__8

LRTD_38 tablelongtravel

LRTD_39 modulationfactor

LRTD_37 numberarcs

LRTD_40_1 motionmanagement_1

LRTD_40_2 motionmanagement_2

LRTD_40_3 motionmanagement_3

LRTD_40_4 motionmanagement_4

LRTD_40_5 motionmanagement_5

LRTD_40_6 motionmanagement_6

LRTD_40_7 motionmanagement_7

LRTD_40_8 gatingsystem

LRTD_40_9 otherspecify__9

LRTD_41_1 imagingverifysetup

LRTD_41_2 otherspecify__10

LRTD_41_3 customizedspecify

LRTD_42_1 howoftenimaged

LRTD_42_2 otherspecify__11

LRTD_43 adjustpatientpositio_1

LRTD_45_1 within2cm_1

LRTD_46_1 within2cm_2

LRTD_47_1 within2cm_3

LRTD_48_1 within2cm_4

LRTD_49_1 within2cm_5

LRTD_44_1 normallung_1

LRTD_44_2 normallung_2

LRTD_44_3 normallung_3

LRTD_44_4 normallung_4

LRTD_44_5 normallung_5

LRTD_45_2 esophagus_1

LRTD_45_3 esophagus_2

LRTD_45_4 esophagus_3

LRTD_45_5 esophagus_4

LRTD_46_2 spinalcord1

LRTD_46_3 otherspecify__12

LRTD_46_4 spinalcord2_1

LRTD_47_2 heart_1

LRTD_47_3 heart_2

LRTD_48_2 brachialplexus_1

LRTD_49_2 primarytumorptv_1

LRTD_49_3 primarytumorptv_2

LRTD_49_4 primarytumorptv_3

LRTD_49_5 primarytumorptv_4

LRTD_50_1 involnodalptv_1

LRTD_50_2 involnodalptv_2

LRTD_50_3 involnodalptv_3

LRTD_51_1 electivenodalptv_1

LRTD_51_2 electivenodalptv_2

LRTD_51_3 electivenodalptv_3

IPAFT_

IPAFT_1_1 manufacturers_phillips

IPAFT_1_2 manufacturers_ge

IPAFT_1_3 manufacturers_siemens

IPAFT_1_4 manufacturers_other

IPAFT_1_5 philipsmodels_1

IPAFT_1_6 philipsmodels_2

IPAFT_1_7 philipsmodels_3

IPAFT_1_8 philipsmodels_4

IPAFT_1_9 philipsmodels_5

IPAFT_1_10 philipsmodels_6

IPAFT_1_11 philipsmodels_7

IPAFT_1_12 philipsmodels_8

IPAFT_1_13 philipsmodels_9

IPAFT_1_14 philipsmodels_10

IPAFT_1_15 gemodels_1

IPAFT_1_16 gemodels_2

IPAFT_1_17 gemodels_3

IPAFT_1_18 gemodels_4

IPAFT_1_19 gemodels_5

IPAFT_1_20 gemodels_6

IPAFT_1_21 gemodels_7

IPAFT_1_22 gemodels_8

IPAFT_1_23 gemodels_9

IPAFT_1_24 gemodels_10

IPAFT_1_25 gemodels_11

IPAFT_1_26 siemensmodels_1

IPAFT_1_27 siemensmodels_2

IPAFT_1_28 siemensmodels_3

IPAFT_1_29 siemensmodels_4

IPAFT_1_30 siemensmodels_5

IPAFT_1_31 siemensmodels_6

IPAFT_1_32 othermakes

IPAFT_2_1 breastsystems_8

IPAFT_2_2 breastsystems_2

IPAFT_2_3 breastsystems_1

IPAFT_2_4 breastsystems_4

IPAFT_2_5 breastsystems_6

IPAFT_2_6 breastsystems_5

IPAFT_2_7 breastsystems_7

IPAFT_2_8 elektamodel

IPAFT_2_9 elektavn

IPAFT_2_10 elektapm_2d

IPAFT_2_11 elektapm_3d

IPAFT_2_12 elektapm_ip

IPAFT_2_13 elektapa_cs

IPAFT_2_14 elektapa_mc

IPAFT_2_15 elektapa_pb

IPAFT_2_16 elektapa_o

IPAFT_2_17 elektapao

IPAFT_2_18 elektappm

IPAFT_2_19 elektaea_hpb

IPAFT_2_20 elektaea_mc

IPAFT_2_21 elektaea_o

IPAFT_2_22 elektaeao

IPAFT_2_23 elektapem

IPAFT_2_24 nucletronspecify

IPAFT_2_25 nucletronvn

IPAFT_2_26 nucletronpm_2d

IPAFT_2_27 nucletronpm_3d

IPAFT_2_28 nucletronpm_ip

IPAFT_2_29 nucletronpa_cs

IPAFT_2_30 nucletronpa_mc

IPAFT_2_31 nucletronpa_pb

IPAFT_2_32 nucletronpa_o

IPAFT_2_33 nucletronpao

IPAFT_2_34 nucletronppm

IPAFT_2_35 nucletronea_hpb

IPAFT_2_36 nucletronea_mc

IPAFT_2_37 nucletronea_o

IPAFT_2_38 nucletroneao

IPAFT_2_39 nucletronpem

IPAFT_2_40 philipspinnaclevn

IPAFT_2_41 philipspinnaclepm_2d

IPAFT_2_42 philipspinnaclepm_3d

IPAFT_2_43 philipspinnaclepm_ip

IPAFT_2_44 philipspinnaclepa_1

IPAFT_2_45 philipspinnaclepa_2

IPAFT_2_46 philipspinnaclepao

IPAFT_2_47 philipspinnacleppm

IPAFT_2_48 philipspinnacleea_hpb

IPAFT_2_49 philipspinnacleea_mc

IPAFT_2_50 philipspinnacleea_o

IPAFT_2_51 philipspinnacleeao

IPAFT_2_52 philipspinnaclepem

IPAFT_2_53 tomotherapyvn

IPAFT_2_54 tomotherapypm_2d

IPAFT_2_55 tomotherapypm_3d

IPAFT_2_56 tomotherapypm_ip

IPAFT_2_57 tomotherapypa_cs

IPAFT_2_58 tomotherapypa_o

IPAFT_2_59 tomotherapypao

IPAFT_2_60 tomotherapyppm

IPAFT_2_61 umplanvn

IPAFT_2_62 umplanpm_2d

IPAFT_2_63 umplanpm_3d

IPAFT_2_64 umplanpm_ip

IPAFT_2_65 umplanpa_ne

IPAFT_2_66 umplanpa_cs

IPAFT_2_67 umplanpa_o

IPAFT_2_68 umplanpao

IPAFT_2_69 umplanppm

IPAFT_2_70 umplanea_hpb

IPAFT_2_71 umplanea_o

IPAFT_2_72 umplaneao

IPAFT_2_73 umplanpem

IPAFT_2_74 varianeclipsevn

IPAFT_2_75 varianeclipsepm_2d

IPAFT_2_76 varianeclipsepm_3d

IPAFT_2_77 varianeclipsepm_ip

IPAFT_2_78 varianeclipsepa_a

IPAFT_2_79 varianeclipsepa_aaa

IPAFT_2_80 varianeclipsepa_pb

IPAFT_2_81 varianeclipsepa_o

IPAFT_2_82 varianeclipsepao

IPAFT_2_83 varianeclipseppm

IPAFT_2_84 varianeclipseea_hpb

IPAFT_2_85 varianeclipseea_mc

IPAFT_2_86 varianeclipseea_o

IPAFT_2_87 varianeclipseeao

IPAFT_2_88 varianeclipsepem

IPAFT_2_89 others

IPAFT_2_90 othervn

IPAFT_2_91 otherpm_2d

IPAFT_2_92 otherpm_3d

IPAFT_2_93 otherpm_ip

IPAFT_2_94 otherpa_1

IPAFT_2_95 otherpa_2

IPAFT_2_96 otherpa_3

IPAFT_2_97 otherppm

IPAFT_2_98 otherea_1

IPAFT_2_99 otherea_2

IPAFT_2_100 otherpem

IPAFT_2_101 system_8

IPAFT_2_102 system_3

IPAFT_2_103 system_1

IPAFT_2_104 system_4

IPAFT_2_105 system_6

IPAFT_2_106 system_5

IPAFT_2_107 system_7

IPAFT_2_108 elektamodel__1

IPAFT_2_109 elektavn__1

IPAFT_2_110 elektapm_2d__1

IPAFT_2_111 elektapm_3d__1

IPAFT_2_112 elektapm_ip__1

IPAFT_2_113 elektapa_1

IPAFT_2_114 elektapa_2

IPAFT_2_115 elektapa_3

IPAFT_2_116 elektapa_4

IPAFT_2_117 elektapao__1

IPAFT_2_118 elektappm__1

IPAFT_2_119 elektaea_1

IPAFT_2_120 elektaea_2

IPAFT_2_121 elektaea_3

IPAFT_2_122 elektaeao__1

IPAFT_2_123 nucletronmodel

IPAFT_2_124 nucletronvn__1

IPAFT_2_125 nucletronpm_2d__1

IPAFT_2_126 nucletronpm_3d__1

IPAFT_2_127 nucletronpm_ip__1

IPAFT_2_128 nucletronpa_1

IPAFT_2_129 nucletronpa_2

IPAFT_2_130 nucletronpa_3

IPAFT_2_131 nucletronpa_4

IPAFT_2_132 nucletronpao__1

IPAFT_2_133 nucletronppm__1

IPAFT_2_134 nucletronea_1

IPAFT_2_135 nucletronea_2

IPAFT_2_136 nucletronea_3

IPAFT_2_137 nucletroneao__1

IPAFT_2_138 philipspinnaclevn__1

IPAFT_2_139 philipspinnaclepm_2d__1

IPAFT_2_140 philipspinnaclepm_3d__1

IPAFT_2_141 philipspinnaclepm_ip__1

IPAFT_2_142 philipspinnaclepa_1__1

IPAFT_2_143 philipspinnaclepa_2__1

IPAFT_2_144 philipspinnaclepao__1

IPAFT_2_145 philipspinnacleppm__1

IPAFT_2_146 philipspinnacleea_1

IPAFT_2_147 philipspinnacleea_2

IPAFT_2_148 philipspinnacleea_3

IPAFT_2_149 philipspinnacleeao__1

IPAFT_2_150 tomotherapyvn__1

IPAFT_2_151 tomotherapypm_2d__1

IPAFT_2_152 tomotherapypm_3d__1

IPAFT_2_153 tomotherapypm_ip__1

IPAFT_2_154 tomotherapypa_1

IPAFT_2_155 tomotherapypa_2

IPAFT_2_156 tomotherapypao__1

IPAFT_2_157 tomotherapyppm__1

IPAFT_2_158 umplanvn__1

IPAFT_2_159 umplanpm_2d__1

IPAFT_2_160 umplanpm_3d__1

IPAFT_2_161 umplanpm_ip__1

IPAFT_2_162 umplanpa_1

IPAFT_2_163 umplanpa_2

IPAFT_2_164 umplanpa_3

IPAFT_2_165 umplanpao__1

IPAFT_2_166 umplanppm__1

IPAFT_2_167 umplanea_1

IPAFT_2_168 umplanea_2

IPAFT_2_169 umplaneao__1

IPAFT_2_170 varianeclipsevn__1

IPAFT_2_171 varianeclipsepm_2d__1

IPAFT_2_172 varianeclipsepm_3d__1

IPAFT_2_173 varianeclipsepm_ip__1

IPAFT_2_174 varianeclipsepa_1

IPAFT_2_175 varianeclipsepa_2

IPAFT_2_176 varianeclipsepa_3

IPAFT_2_177 varianeclipsepa_4

IPAFT_2_178 varianeclipsepao__1

IPAFT_2_179 varianeclipseppm__1

IPAFT_2_180 varianeclipseea_1

IPAFT_2_181 varianeclipseea_2

IPAFT_2_182 varianeclipseea_3

IPAFT_2_183 varianeclipseeao__1

IPAFT_2_184 othersystem

IPAFT_2_185 othervn__1

IPAFT_2_186 otherpm_2d__1

IPAFT_2_187 otherpm_3d__1

IPAFT_2_188 otherpm_ip__1

IPAFT_2_189 otherpa_1__1

IPAFT_2_190 otherpa_2__1

IPAFT_2_191 otherpa_3__1

IPAFT_2_192 otherppm__1

IPAFT_2_193 otherea_1__1

IPAFT_2_194 otherea_2__1

IPAFT_3 deliverytechniques

IPAFT_4_1 manufacturers_varian

IPAFT_4_2 manufacturers_elekta

IPAFT_4_3 manufacturers_tomo

IPAFT_4_4 manufacturers_siemens__1

IPAFT_4_5 manufacturers_other__1

IPAFT_4_6 otherspecify

IPAFT_4_7 varianmodel_1

IPAFT_4_8 varianmodel_2

IPAFT_4_9 varianmodel_3

IPAFT_4_10 varianimrt_1

IPAFT_4_11 varianimrt_2

IPAFT_4_12 varianimrt_3

IPAFT_4_13 varianimrt_4

IPAFT_4_14 varianimrt_5

IPAFT_4_15 varianother

IPAFT_4_16 elektamodel_1

IPAFT_4_17 elektamodel_2

IPAFT_4_18 elektamodel_3

IPAFT_4_19 elektamodel_4

IPAFT_4_20 elektaimrt_1

IPAFT_4_21 elektaimrt_2

IPAFT_4_22 elektaimrt_3

IPAFT_4_23 elektaimrt_4

IPAFT_4_24 elektaimrt_5

IPAFT_4_25 elektaother

IPAFT_4_26 tomomodel_1

IPAFT_4_27 tomomodel_2

IPAFT_4_28 tomoimrt_1

IPAFT_4_29 tomoimrt_2

IPAFT_4_30 tomoimrt_3

IPAFT_4_31 tomoimrt_4

IPAFT_4_32 tomoimrt_5

IPAFT_4_33 tomoother

IPAFT_4_34 siemensmodels_1__1

IPAFT_4_35 siemensmodels_2__1

IPAFT_4_36 siemensmodels_3__1

IPAFT_4_37 siemensimrt_1

IPAFT_4_38 siemensimrt_2

IPAFT_4_39 siemensimrt_3

IPAFT_4_40 siemensimrt_4

IPAFT_4_41 siemensimrt_5

IPAFT_4_42 siemensother

IPAFT_4_43 othermodel

IPAFT_4_44 otherimrt_1

IPAFT_4_45 otherimrt_2

IPAFT_4_46 otherimrt_3

IPAFT_4_47 otherimrt_4

IPAFT_4_48 otherimrt_5

IPAFT_4_49 otherimrtspecify

IPAFT_5_1 imrtpretreatment_1

IPAFT_5_2 imrtpretreatment_2

IPAFT_5_3 imrtpretreatment_3

IPAFT_5_4 imrtpretreatment_4

IPAFT_5_5 pretreatmentother

IPAFT_5_6 independentvolume

IPAFT_5_7 independentmanufactu

IPAFT_5_8 compositemanufacture

IPAFT_5_9 compositemodel

IPAFT_5_10 individualequipment_a

IPAFT_5_11 individualequipment_acomment

IPAFT_5_12 individualequipment_b

IPAFT_5_13 individualequipment_bcomment

IPAFT_5_14 individualequipment_c

IPAFT_5_15 individualequipment_ccomment

IPAFT_5_16 individualequipment_d

IPAFT_5_17 individualequipment_dcomment

IPAFT_5_18 individualother

IPAFT_6 qacriteraforimrt

IPAFT_7_1 absoluterelative_1

IPAFT_7_2 absoluterelative_2

IPAFT_7_3 absoluterelative_3

IPAFT_7_4 absoluterelative_4

IPAFT_8 otherspecify__1

IPAFT_9 imrtcredentialing

IPAFT_10 lungcredentialing

IPAFT_11 manfalgthatpassed

IPAFB_ submitdate

IPAFB_52_1 typicalpositionsimul

IPAFB_52_2 otherspecify

IPAFB_53_1 immobilized_1

IPAFB_53_2 immobilized_2

IPAFB_53_3 immobilized_3

IPAFB_53_4 immobilized_4

IPAFB_53_5 immobilized_5

IPAFB_53_6 otherspecify__1

IPAFB_54 armposition

IPAFB_55_1 immobilization_1

IPAFB_55_2 immobilization_2

IPAFB_55_3 immobilization_3

IPAFB_55_4 immobilization_4

IPAFB_55_5 immobilization_5

IPAFB_55_6 immobilization_6

IPAFB_55_7 thermoplasticmm

IPAFB_55_8 breastcupmm

IPAFB_55_9 patientsbramm

IPAFB_55_10 custombramm

IPAFB_56_1 primaryimaging

IPAFB_56_2 otherspecify__2

IPAFB_57_1 assessmotion_1

IPAFB_57_2 assessmotion_2

IPAFB_57_3 assessmotion_3

IPAFB_57_4 assessmotion_4

IPAFB_57_5 assessmotion_5

IPAFB_57_6 assessmotion_6

IPAFB_57_7 otherspecify__3

IPAFB_58_1 minimizerespiration_1

IPAFB_58_2 minimizerespiration_2

IPAFB_58_3 minimizerespiration_3

IPAFB_58_4 minimizerespiration_4

IPAFB_58_5 minimizerespiration_5

IPAFB_58_6 gatingspecify

IPAFB_58_7 otherspecify__4

IPAFB_59 clinicalborders

IPAFB_60 contoursdrawn

IPAFB_61 lumpectomycavity

IPAFB_62_1 ptvmargin

IPAFB_62_2 ptvmarginyes

IPAFB_63_1 regionalnodes_1

IPAFB_63_2 regionalnodes_2

IPAFB_63_3 regionalnodes_3

IPAFB_63_4 regionalnodes_4

IPAFB_63_5 regionalnodes_5

IPAFB_63_6 regionalnodes_6

IPAFB_63_7 otherspecify__5

IPAFB_64_1 othermodalities_1

IPAFB_64_2 othermodalities_2

IPAFB_64_3 othermodalities_3

IPAFB_64_4 othermodalities_4

IPAFB_64_5 othermodalities_5

IPAFB_64_6 othermodalities_6

IPAFB_64_7 otherspecify__6

IPAFB_65 primarytreatmentplan

IPAFB_66 samecostfunction

IPAFB_67 averagecontrolpoints

IPAFB_68 heterogeneitycorrect

IPAFB_69 tissuecompensators

IPAFB_70 compensators

IPAFB_71_1 reasonfortechniques_1

IPAFB_71_2 reasonfortechniques_2

IPAFB_71_3 reasonfortechniques_3

IPAFB_71_4 reasonfortechniques_4

IPAFB_71_5 reasonfortechniques_5

IPAFB_71_6 otherspecify__7

IPAFB_72 ipsilateralbreast

IPAFB_73_1 avoidancestructures_1

IPAFB_73_2 avoidancestructures_2

IPAFB_73_3 avoidancestructures_3

IPAFB_73_4 avoidancestructures_4

IPAFB_73_5 avoidancestructures_5

IPAFB_73_6 avoidancestructures_6

IPAFB_73_7 avoidancestructures_7

IPAFB_73_8 otherspecify__8

IPAFB_74_1 lungdoseplanning

IPAFB_74_2 otherspecify__9

IPAFB_75_1 specifiedofheart_1

IPAFB_75_2 specifiedofheart_2

IPAFB_75_3 specifiedofheart_3

IPAFB_75_4 specifiedofheart_4

IPAFB_75_5 specifiedofheart_5

IPAFB_75_6 specifiedofheart_6

IPAFB_75_7 otherspecify__10

IPAFB_76 staticgantry

IPAFB_77_1 imrtdelivery_1

IPAFB_77_2 imrtdelivery_2

IPAFB_77_3 imrtdelivery_3

IPAFB_77_4 imrtdelivery_4

IPAFB_77_5 imrtdelivery_5

IPAFB_77_6 otherspecify__11

IPAFB_78 typicalnumarcs

IPAFB_79_1 typicalimaging

IPAFB_79_2 videobasedsystem

IPAFB_79_3 otherspecify__12

IPAFB_80 frequency

IPAFB_81 criteriaforadjusting

IPAFL_ submitdate

IPAFL_12_1 immobilized_1

IPAFL_12_2 immobilized_2

IPAFL_12_3 immobilized_3

IPAFL_12_4 immobilized_4

IPAFL_12_5 immobilized_5

IPAFL_12_6 immobilizedother

IPAFL_13_1 position

IPAFL_13_2 otherspecify

IPAFL_14_1 primaryimaging

IPAFL_14_2 primaryimagingother

IPAFL_15 intravenouscontrast

IPAFL_16_1 motandoar_1

IPAFL_16_2 motandoar_2

IPAFL_16_3 motandoar_3

IPAFL_16_4 motandoar_4

IPAFL_16_5 motandoar_5

IPAFL_16_6 motandoar_6

IPAFL_16_7 notdeterminedmargin

IPAFL_16_8 motandoarother

IPAFL_17_1 impactofrespiration_1

IPAFL_17_2 impactofrespiration_2

IPAFL_17_3 impactofrespiration_3

IPAFL_17_4 impactofrespiration_4

IPAFL_17_5 impactofrespiration_5

IPAFL_17_6 gatingradiotherapy

IPAFL_17_7 respirationother

IPAFL_18 gtv

IPAFL_19 itv

IPAFL_20 howgtv

IPAFL_21 gtvuniform

IPAFL_22_1 ctvnonuniform_1

IPAFL_22_2 ctvnonuniform_2

IPAFL_22_3 ctvnonuniform_3

IPAFL_22_4 ctvnonuniform_4

IPAFL_22_5 ctvnonuniform_5

IPAFL_22_6 ctvnonuniform_6

IPAFL_23 ptv

IPAFL_24 withuniformexpansion

IPAFL_25_1 nonuniformexpansion_sup

IPAFL_25_2 nonuniformexpansion_inf

IPAFL_25_3 nonuniformexpansion_ant

IPAFL_25_4 nonuniformexpansion_pos

IPAFL_25_5 nonuniformexpansion_r

IPAFL_25_6 nonuniformexpansion_l

IPAFL_26 nodalradiotherapy

IPAFL_27 defindnormaltissue

IPAFL_28_1 modalities_1

IPAFL_28_2 modalities_2

IPAFL_28_3 modalities_3

IPAFL_28_4 modalities_4

IPAFL_28_5 modalities_5

IPAFL_28_6 modalitiesother

IPAFL_29 primarymethod

IPAFL_30 inverseplanning

IPAFL_31 controlpoints

IPAFL_32 heterogeneity

IPAFL_33_1 imrtvmatreason_1

IPAFL_33_2 imrtvmatreason_2

IPAFL_33_3 imrtvmatreason_3

IPAFL_33_4 imrtvmatreason_4

IPAFL_33_5 imrtvmatreason_5

IPAFL_33_6 imrtvmatreason_6

IPAFL_33_7 otherspecify__1

IPAFL_34_1 avoidancecontoured_1

IPAFL_34_2 avoidancecontoured_2

IPAFL_34_3 avoidancecontoured_3

IPAFL_34_4 avoidancecontoured_4

IPAFL_34_5 avoidancecontoured_5

IPAFL_34_6 avoidancecontoured_6

IPAFL_34_7 avoidancecontoured_7

IPAFL_34_8 avoidancecontoured_8

IPAFL_34_9 otherspecify1

IPAFL_35_1 biologicalparameters_1

IPAFL_35_2 biologicalparameters_2

IPAFL_35_3 biologicalparameters_3

IPAFL_35_4 biologicalparameters_4

IPAFL_35_5 parametersother

IPAFL_36_1 doselimits_1

IPAFL_36_2 doselimits_2

IPAFL_36_3 doselimits_3

IPAFL_36_4 doselimits_4

IPAFL_36_5 doselimits_5

IPAFL_36_6 doselimits_6

IPAFL_36_7 doselimits_7

IPAFL_36_8 doselimits_8

IPAFL_36_9 v20percentorcc

IPAFL_36_10 v10percentorcc

IPAFL_36_11 v5percentorcc

IPAFL_36_12 meandosevalue

IPAFL_36_13 otherspecify__2

IPAFL_37_1 typicaldoselimits_1

IPAFL_37_2 typicaldoselimits_2

IPAFL_37_3 typicaldoselimits_3

IPAFL_37_4 typicaldoselimits_4

IPAFL_37_5 typicaldoselimits_5

IPAFL_37_6 choice1_1

IPAFL_37_7 choice1_2

IPAFL_37_8 meandosevalue__1

IPAFL_37_9 maximumdosevalue

IPAFL_37_10 otherspecify__3

IPAFL_38_1 esophaguscontour

IPAFL_38_2 otherspecify__4

IPAFL_39_1 doselimitsesophagus_1

IPAFL_39_2 doselimitsesophagus_2

IPAFL_39_3 doselimitsesophagus_3

IPAFL_39_4 doselimitsesophagus_4

IPAFL_39_5 doselimitsesophagus_5

IPAFL_39_6 choice1a_1

IPAFL_39_7 choice1a_2

IPAFL_39_8 meandosevalue__2

IPAFL_39_9 maximumdosevalue__1

IPAFL_39_10 otherspecify__5

IPAFL_40_1 spinalcordcontour

IPAFL_40_2 otherspecify__6

IPAFL_41 drawnspinalcord

IPAFL_42 expansion

IPAFL_43_1 doselimitsspinal_1

IPAFL_43_2 doselimitsspinal_2

IPAFL_43_3 doselimitsspinal_3

IPAFL_43_4 doselimitsspinal_4

IPAFL_43_5 doselimitsspinal_5

IPAFL_43_6 maxvaluegy

IPAFL_43_7 otherspecify__7

IPAFL_44_1 maxdosebrachial_1

IPAFL_44_2 maxdosebrachial_2

IPAFL_44_3 maxdosebrachial_3

IPAFL_44_4 maxdosebrachial_4

IPAFL_44_5 maxvaluegy1a

IPAFL_44_6 otherspecify__8

IPAFL_45 numberbeamangles

IPAFL_46_1 deliverytechniques_1

IPAFL_46_2 deliverytechniques_2

IPAFL_46_3 deliverytechniques_3

IPAFL_46_4 deliverytechniques_4

IPAFL_46_5 deliverytechniques_5

IPAFL_46_6 otherspecify__9

IPAFL_47_1 numberarcs

IPAFL_47_2 otherspecify__10

IPAFL_48_1 primaryimaging__1

IPAFL_48_2 otherorcustomized

IPAFL_49 frequency

IPAFL_50 adjustmentcriteria

IPAFL_51_1 motionmanagement_1

IPAFL_51_2 motionmanagement_2

IPAFL_51_3 motionmanagement_3

IPAFL_51_4 motionmanagement_4

IPAFL_51_5 motionmanagement_5

IPAFL_51_6 motionmanagement_6

IPAFL_51_7 motionmanagement_7

IPAFL_51_8 gatingspecify

IPAFL_51_9 otherspecify__11

run;

data list2;

set list2;

run;

data b;

set list2;

run;

proc sql noprint;

select quote(trim(name)) into

:names separated by ','

from dictionary.columns

where libname='WORK' AND memname='B';

create table temp as

select * from renames

where original in (&names);

select catx('=',original,newname)

into :rename separated by ' '

from temp;

quit;

%put &rename;

proc datasets nolist lib=work;

modify b ;

rename &rename;

run;

quit;

data list2;

set b;

run;

Re: Help with renaming Variables based on table values

Ksharp — Wed, 28 Mar 2012 02:17:35 GMT

It doesn't matter about ERROR message.

If proc datasets can't find a variable name , he will keep it and continue to rename the following variable name.

So proc datasets will rename all the variables in datasets A which also be included in B.

data renames ;
  input ( original newname) (:$32.);
cards;
b10 FirstDose
a10 adfadsf
a9 adfadsf
;
run;

 

data b;
b10 = 3;
output;
a11=4;
output;
a10=0;
output;
run;

data _null_;
set renames end=last;
if _n_ eq 1 then call execute('proc datasets nolist lib=work; modify b;rename');
call execute(catx('=',original,newname));
if last then call execute(';quit;');
run;

Ksharp

Re: Help with renaming Variables based on table values

Ksharp — Wed, 28 Mar 2012 02:31:33 GMT

Did you try my code?

My code has no limitation of size of macro variable. and It will rename all the variable in RENAME dataset, even if some variable are not included in your original dataset.

Ksharp