Quantitative analyses of normal tissue effects in the clinic (QUANTEC): An introduction to the scientific issues Journal Article
| Authors: | Bentzen, S. M.; Constine, L. S.; Deasy, J. O.; Eisbruch, A.; Jackson, A.; Marks, L. B.; Ten Haken, R. K.; Yorke, E. D. |
| Article Title: | Quantitative analyses of normal tissue effects in the clinic (QUANTEC): An introduction to the scientific issues |
| Abstract: | Advances in dose-volume/outcome (or normal tissue complication probability, NTCP) modeling since the seminal Emami paper from 1991 are reviewed. There has been some progress with an increasing number of studies on large patient samples with three-dimensional dosimetry. Nevertheless, NTCP models are not ideal. Issues related to the grading of side effects, selection of appropriate statistical methods, testing of internal and external model validity, and quantification of predictive power and statistical uncertainty, all limit the usefulness of much of the published literature. Synthesis (meta-analysis) of data from multiple studies is often impossible because of suboptimal primary analysis, insufficient reporting and variations in the models and predictors analyzed. Clinical limitations to the current knowledge base include the need for more data on the effect of patient-related cofactors, interactions between dose distribution and cytotoxic or molecular targeted agents, and the effect of dose fractions and overall treatment time in relation to nonuniform dose distributions. Research priorities for the next 5-10 years are proposed. © 2010 Elsevier Inc. All rights reserved. |
| Keywords: | three dimensional; side effect; cancer radiotherapy; radiation dose; antineoplastic agent; neoplasm; reproducibility of results; animals; models, biological; radiation injury; dose-response relationship, radiation; mathematical model; models, animal; disease severity; statistical analysis; radiation oncology; dosimetry; radiation dose fractionation; quantitative analysis; scoring system; research; radiation injuries; predictor variable; therapy effect; rats; radiotherapy planning, computer-assisted; cytotoxic; radiation dose distribution; normal tissue; statistical uncertainty; meta-analysis; cofactors; dose distributions; dose fraction; knowledge base; model validity; nonuniform dose distribution; normal tissue complication probabilities; overall treatment time; predictive power; research priorities; scientific issues; knowledge based systems; probability density function; external validity; face validity; internal validity |
| 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: | S3 |
| End Page: | S9 |
| Language: | English |
| DOI: | 10.1016/j.ijrobp.2009.09.040 |
| PUBMED: | 20171515 |
| PROVIDER: | scopus |
| PMCID: | PMC3431964 |
| DOI/URL: | |
| Notes: | --- - "Cited By (since 1996): 4" - "Export Date: 20 April 2011" - "CODEN: IOBPD" - "Source: Scopus" |
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