Improving normal tissue complication probability models: The need to adopt a "data-pooling" culture Journal Article


Authors: Deasy, J. O.; Bentzen, S. M.; Jackson, A.; Ten Haken, R. K.; Yorke, E. D.; Constine, L. S.; Sharma, A.; Marks, L. B.
Article Title: Improving normal tissue complication probability models: The need to adopt a "data-pooling" culture
Abstract: Clinical studies of the dependence of normal tissue response on dose-volume factors are often confusingly inconsistent, as the QUANTEC reviews demonstrate. A key opportunity to accelerate progress is to begin storing high-quality datasets in repositories. Using available technology, multiple repositories could be conveniently queried, without divulging protected health information, to identify relevant sources of data for further analysis. After obtaining institutional approvals, data could then be pooled, greatly enhancing the capability to construct predictive models that are more widely applicable and better powered to accurately identify key predictive factors (whether dosimetric, image-based, clinical, socioeconomic, or biological). Data pooling has already been carried out effectively in a few normal tissue complication probability studies and should become a common strategy. © 2010 Elsevier Inc. All rights reserved.
Keywords: cancer radiotherapy; radiation dose; accuracy; radiation injury; data base; prediction; radiation response; health care cost; feasibility study; medical information; clinical study; dosimetry; probability; models, statistical; research; radiation injuries; information dissemination; databases, factual; organ size; radiation dose distribution; statistical model; normal tissue; radiation pneumonia; tissue; high quality; data sets; predictive models; image-based; predictive factors; normal tissue complication probabilities; data pooling; data reuse; data sharing; normal tissue complication probability models; ntcp; common strategy; dose-volume; normal-tissue complication probability models; protected health informations
Journal Title: International Journal of Radiation Oncology, Biology, Physics
Volume: 76
Issue: 3 Suppl.
ISSN: 0360-3016
Publisher: Elsevier Inc.  
Date Published: 2010-03-01
Start Page: S151
End Page: S154
Language: English
DOI: 10.1016/j.ijrobp.2009.06.094
PUBMED: 20171511
PROVIDER: scopus
PMCID: PMC2854162
DOI/URL:
Notes: --- - "Cited By (since 1996): 3" - "Export Date: 20 April 2011" - "CODEN: IOBPD" - "Source: Scopus"
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  1. Andrew Jackson
    253 Jackson
  2. Ellen D Yorke
    450 Yorke