The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC): An Introduction to the Scientific Issues
Open accessAbstract
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 due to sub-optimal primary analysis, insufficient reporting and variations in the models and predictors analyzed. Clinical limitations to the current knowledge-base includes the need for more data on the effect of patient-related co-factors, interactions between dose-distribution and cytotoxic or molecular targeted agents, and the effect of dose fractions and overall treatment time in relation to non-uniform dose distributions. Research priorities for the next 5 to 10 years are proposed.
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Cites
Tolerance of normal tissue to therapeutic irradiation
Emami, B., Lyman, J., Brown, A., Cola, L., Goitein, M., Munzenrider, J. E., Shank, B., Solin, L. J., & Wesson, M. (1991) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/0360-3016(91)90171-y · Cited by 4,488
Fitting of normal tissue tolerance data to an analytic function
Burman, C., Kutcher, G. J., Emami, B., & Goitein, M. (1991) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/0360-3016(91)90172-z · Cited by 1,249
Complication Probability as Assessed from Dose-Volume Histograms
Lyman, J. T. (1985) · Radiation Research · doi:10.2307/3576626 · Cited by 1,160
Bentzen, S. M. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1950 · Cited by 1,096
Self-citationJoiner, M. C., & van der Kogel, A. (2009) · CRC Press eBooks · doi:10.1201/b15450 · Cited by 1,068
Tumour and Normal Tissue Responses to Fractionated Non-uniform Dose Delivery
Källman, P., Ågren, A., & Brahme, A. (1992) · International Journal of Radiation Biology · doi:10.1080/09553009214552071 · Cited by 562
Kutcher, G. J., Burman, C., Brewster, L., Goitein, M., & Mohan, R. (1991) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/0360-3016(91)90173-2 · Cited by 559
Treatment volume and tissue tolerance
Rodney Withers, H., Taylor, J. M. G., & Maciejewski, B. (1988) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/0360-3016(88)90098-3 · Cited by 445
Kong, F.-M., Hayman, J. A., Griffith, K. A., Kalemkerian, G. P., Arenberg, D., Lyons, S., Turrisi, A., Lichter, A., Fraass, B., Eisbruch, A., et al. (2006) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2006.01.051 · Cited by 336
Self-citationModels in radiotherapy: Volume effects
Schultheiss, T. E., Orton, C. G., & Peck, R. A. (1983) · Medical Physics · doi:10.1118/1.595312 · Cited by 267
Cited by
Radiomics in radiooncology – challenging the medical physicist
Peeken, J. C., Bernhofer, M., Wiestler, B., Goldberg, T., Cremers, D., Rost, B., Wilkens, J. J., Combs, S. E., & Nüsslin, F. (2018) · Physica Medica · doi:10.1016/j.ejmp.2018.03.012 · Cited by 98
Clinical and epidemiological observations on individual radiation sensitivity and susceptibility
Seibold, P., Auvinen, A., Averbeck, D., Bourguignon, M., Hartikainen, J. M., Hoeschen, C., Laurent, O., Noël, G., Sabatier, L., Salomaa, S., et al. (2020) · International Journal of Radiation Biology · doi:10.1080/09553002.2019.1665209 · Cited by 56
Hobbs, R. F., McNutt, T., Baechler, S., He, B., Esaias, C. E., Frey, E. C., Loeb, D. M., Wahl, R. L., Shokek, O., & Sgouros, G. (2011) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2010.08.022 · Cited by 53
The Role of Preclinical Models in Radiopharmaceutical Therapy
Sgouros, G., Hobbs, R. F., & Abou, D. S. (2014) · American Society of Clinical Oncology Educational Book · doi:10.14694/edbook_am.2014.34.e121 · Cited by 16
Metadata
- Authors
- Bentzen, S. M., Constine, L. S., Deasy, J. O., Eisbruch, A., Jackson, A., Marks, L. B., Ten Haken, R. K., & Yorke, E. D.
- Venue
- International Journal of Radiation Oncology*Biology*Physics
- Publisher
- Elsevier BV
- Published
- 2010-03
- Volume
- 76
- Issue
- 3
- Pages
- S3-S9
- ISSN
- 0360-3016 (ISSN-L)
- OpenAlex
- W2029328961
- Cited by
- 1,257
- References
- 27
- FWCI
- 43.14
- Type
- journal article
- Language
- en
- Open access
- green
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- Bentzen, S. M., Constine, L. S., Deasy, J. O., Eisbruch, A., Jackson, A., Marks, L. B., Ten Haken, R. K., & Yorke, E. D. (2010). Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC): An Introduction to the Scientific Issues. International Journal of Radiation Oncology*Biology*Physics. https://doi.org/10.1016/j.ijrobp.2009.09.040
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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