ArticleRadiation oncology (London, England)2015
Prediction of gastrointestinal toxicity after external beam radiotherapy for localized prostate cancer.
Article in Radiation oncology (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Integrating genetic polymorphisms and clinical data to develop predictive models for skin toxicity in breast cancer radiation therapy.Breast (Edinburgh, Scotland) · 2025Article
- Predictive Factors for Gastrointestinal and Genitourinary Toxicities in Prostate Cancer External Beam Radiotherapy: A Scoping Review.Diagnostics (Basel, Switzerland) · 2025Review
- Prediction of Grade 4 radiation-induced lymphopenia during chemoradiation therapy for lung cancer patients: Insights from two past trials.Physics and imaging in radiation oncology · 2025Article
- Article
- Deep learning combining imaging, dose and clinical data for predicting bowel toxicity after pelvic radiotherapy.Physics and imaging in radiation oncology · 2025Article
- Association between gut microbial change and acute gastrointestinal toxicity in patients with prostate cancer receiving definitive radiation therapy.Cancer medicine · 2023Article
- Assessment of rectal toxicities after radiation therapy for localized prostate cancer: experience of the Akanda Cancer Institute in Gabon.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2023Article
- Dose-volume analysis of planned versus accumulated dose as a predictor for late gastrointestinal toxicity in men receiving radiotherapy for high-risk prostate cancer.Physics and imaging in radiation oncology · 2022Article
- Radiation-Induced Esophagitis in Non-Small-Cell Lung Cancer Patients: Voxel-Based Analysis and NTCP Modeling.Cancers · 2022Article
- Predictive modelling for late rectal and urinary toxicities after prostate radiotherapy using planned and delivered dose.Frontiers in oncology · 2022Article
- MRI-Based Radiotherapy Planning to Reduce Rectal Dose in Excess of Tolerance.Prostate cancer · 2022Article
- Normal tissue complication probability models for prospectively scored late rectal and urinary morbidity after proton therapy of prostate cancer.Physics and imaging in radiation oncology · 2021Article
- Radiation-Induced Dyspnea in Lung Cancer Patients Treated with Stereotactic Body Radiation Therapy.Cancers · 2021Article
- External Validation of a Predictive Model for Acute Skin Radiation Toxicity in the REQUITE Breast Cohort.Frontiers in oncology · 2020Article
- Intra-fraction motion of the prostate is not increased by patient couch shifts.Radiation oncology (London, England) · 2016Article
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8 authors.
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Abstract
backgroundGastrointestinal (GI) toxicity is a common effect following radiation therapy (RT) for prostate cancer. Purpose of the present work is to compare two Normal Tissue Complication Probability (NTCP) modelling approaches for prediction of late radio-induced GI toxicity after prostate external beam radiotherapy.
methodsThe study includes 84 prostate cancer patients evaluated for late rectal toxicity after 3D conformal radiotherapy. Median age was 72 years (range 53-85). All patients received a total dose of 76 Gy to the prostate gland with daily fractions of 2 Gy. The acute and late radio-induced GI complications were classified according to the RTOG/EORTC scoring system. Rectum dose-volume histograms were extracted for Lyman-Kutcher-Burman (LKB) NTCP model fitting using Maximum Likelihood Estimation. The bootstrap method was employed to test the fit robustness. The area under the receiver operating characteristic curve (AUC) was used to evaluate the predictive power of the LKB and to compare it with a multivariate logistic NTCP model previously determined.
resultsAt a median follow-up of 36 months, 42% (35/84) of patients experienced grade 1-2 (G1-2) acute GI events while 25% (21/84) of patients developed G1-2 late GI events. The best-estimate of fitting parameters for LKB NTCP model for mild\moderate GI toxicity resulted to be: D 50 = 87.3 Gy, m = 0.37 and n = 0.10. Bootstrap result showed that the parameter fit was robust. The AUC values for the LKB and for the multivariate logistic models were 0.60 and 0.75, respectively.
conclusionsWe derived the parameters of the LKB model for mild\moderate GI toxicity prediction and we compared its performance with that of a data-driven multivariate model. Compared to LKB, the multivariate model confirmed a higher predictive power as showed by the AUC values.
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