Journal article
Predicting the response of head and neck cancers to radiation therapy with a Multivariate modelling system: An analysis of the RTOG head and neck registry
International journal of radiation oncology, biology, physics, v 10(4), pp 481-487
Apr 1984
PMID: 6725038
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Two thousand and sixty-six patients with primary head and neck cancers were entered in the RTOG Head and Neck Cancer Registry between 1977 and 1980. Nine hundred and ninety-seven (997) evaluable patients were treated initially with radiation therapy alone. Tumor site, T-stage, N-stage, histology, degree of infiltration, degree of differentiation, patient age, sex and Karnofsky performance score were all prospectively recorded. T-stage (
p < .001), N-stage (
p = .007), primary site (
p < .001), and initial Karnofsky performance score (
p < .001) proved to be significant factors independently predictive of primary tumor clearance. Using these factors, a multivariate response model was constructed to predict primary tumor response. The predictive accuracy of the model proved to be highly reliable, and was tested by comparing the predicted vs. observed complete tumor clearance rates for each independent variable. For primary sites, the predicted number of complete responses vs. observed were: oral cavity, 139.8 predicted vs. 139 observed; nasopharynx, 51.8 predicted vs. 51 observed; oropharynx, 174.8 predicted vs. 176 observed, supraglottic larynx, 314.4 predicted vs. 318 observed; glottic larynx, 314.4 predicted vs. 318 observed; and hypopharynx, 49.4 predicted vs. 46 observed. For the entire group of patients predicted to have a 90% or better complete primary tumor response (including T3 and T, tumors), 94% remained in initial complete remission at the primary site at one year, and 87% at two years. An accurate multivariate response model, such as the one presented in this paper, should prove to be a useful tool in selecting patients with head and neck cancers suitable for treatment with radiation therapy alone.
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Details
- Title
- Predicting the response of head and neck cancers to radiation therapy with a Multivariate modelling system: An analysis of the RTOG head and neck registry
- Creators
- Thomas W. Griffin - University of WashingtonThomas F. Pajak - RTOG FoundationBrenda Wilson Gillespie - RTOG FoundationLawrence W. Davis - Thomas Jefferson UniversityLuther W. Brady - Department of Radiation Therapy, Hahnemann Medical College, Philadelphia, PA 19102, USAPhilip Rubin - University of Rochester Medical CenterVictor A. Marcial - University of Puerto Rico, Medical Sciences Campus
- Publication Details
- International journal of radiation oncology, biology, physics, v 10(4), pp 481-487
- Publisher
- Elsevier
- Number of pages
- 7
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:A1984SR74100005
- Scopus ID
- 2-s2.0-0021258332
- Other Identifier
- 991021901309204721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Oncology
- Radiology, Nuclear Medicine & Medical Imaging