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.
authors.affiliation: Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA. bentzen@humonc.wisc.edu
authors.forename: Søren M
authors.initials: SM
authors.lastname: Bentzen
authors.forename: Louis S
authors.initials: LS
authors.lastname: Constine
authors.forename: Joseph O
authors.initials: JO
authors.lastname: Deasy
authors.forename: Avi
authors.initials: A
authors.lastname: Eisbruch
authors.forename: Andrew
authors.initials: A
authors.lastname: Jackson
authors.forename: Lawrence B
authors.initials: LB
authors.lastname: Marks
authors.forename: Randall K
authors.initials: RK
authors.lastname: Ten Haken
authors.forename: Ellen D
authors.initials: ED
authors.lastname: Yorke
mesh_terms: D000818:Animals; D004307:Dose-Response Relationship, Radiation; D006801:Humans; D023421:Models, Animal; D008954:Models, Biological; D011832:Radiation Injuries / Q000145:classification / Q000517:prevention & control; D018787:Radiation Oncology / Q000639:trends*; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods / Q000639:trends; D051381:Rats; D015203:Reproducibility of Results; D012106:Research