Improving Normal Tissue Complication Probability Models: The Need to Adopt a "Data-Pooling" Culture

International Journal of Radiation Oncology Biology Physics

Volumn 76, Issue 3 SUPPL., 2010, Pages

  Deasy, Joseph O ^a   Bentzen, Søren M ^b   Jackson, Andrew ^c   Ten Haken, Randall K ^d   Yorke, Ellen D ^e   Constine, Louis S ^c   Sharma, Ashish ^f   Marks, Lawrence B ^g  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^c MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^d UNIVERSITY OF MICHIGAN   (United States)

^e UNIVERSITY OF ROCHESTER MEDICAL CENTER   (United States)

^f EMORY UNIVERSITY   (United States)

^g UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

Data pooling; Data reuse; Data sharing; Normal tissue complication probability models; NTCP

Indexed keywords

CLINICAL STUDY; COMMON STRATEGY; DATA POOLING; DATA REUSE; DATA SETS; DATA SHARING; DOSE-VOLUME; HIGH QUALITY; IMAGE-BASED; NORMAL TISSUE; NORMAL TISSUE COMPLICATION PROBABILITIES; NORMAL-TISSUE COMPLICATION PROBABILITY MODELS; PREDICTIVE FACTORS; PREDICTIVE MODELS; PROTECTED HEALTH INFORMATIONS;

PROBABILITY;

TISSUE;

ACCURACY; ARTICLE; CANCER RADIOTHERAPY; DATA BASE; DOSIMETRY; FEASIBILITY STUDY; HEALTH CARE COST; HUMAN; MEDICAL INFORMATION; ORGAN SIZE; PREDICTION; PRIORITY JOURNAL; RADIATION DOSE; RADIATION DOSE DISTRIBUTION; RADIATION INJURY; RADIATION PNEUMONIA; RADIATION RESPONSE; STATISTICAL MODEL;

DATABASES, FACTUAL; HUMANS; INFORMATION DISSEMINATION; MODELS, STATISTICAL; RADIATION INJURIES; RESEARCH;

EID: 76449107395     PISSN: 03603016     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijrobp.2009.06.094     Document Type: Article

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