Inclusion of clinical risk factors into NTCP modelling of late rectal toxicity after high dose radiotherapy for prostate cancer
| Autor: | Tiziana Rancati, Gianni Fellin, E. Cagna, Giuseppe Girelli, Riccardo Valdagni, Stefania Delle Canne, Claudio Fiorino, F. Tortoreto, Loris Menegotti, Valeria Casanova Borca, Vittorio Vavassori, Angelo F. Monti |
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| Rok vydání: | 2011 |
| Předmět: |
Male
medicine.medical_specialty medicine.medical_treatment Urology Rectum Prostate cancer Risk Factors Prostate medicine Humans Radiology Nuclear Medicine and imaging Large intestine Risk factor Radiation Injuries business.industry Prostatic Neoplasms Radiotherapy Dosage Hematology Models Theoretical medicine.disease Acute toxicity Surgery Radiation therapy medicine.anatomical_structure Oncology Gastrointestinal Hemorrhage business Fecal Incontinence Abdominal surgery |
| Zdroj: | Radiotherapy and Oncology. 100:124-130 |
| ISSN: | 0167-8140 |
| Popis: | Background and purpose To fit an NTCP model including clinical risk factors to late rectal toxicities after radiotherapy for prostate cancer. Methods and materials Data of 669 patients were considered. The probability of late toxicity within 36months (bleeding and incontinence) was fitted with the original and a modified Logit-EUD model, including clinical factors by fitting a subset specific TD 50 s: the ratio of TD 50 s with and without including the clinical variable was the dose-modifying factor ( D mod ). Results Abdominal surgery (surg) was a risk factor for G2–G3 bleeding, reflecting in a TD 50 =82.7Gy and 88.4Gy for patients with and without surg ( D mod =0.94; 0.90 for G3 bleeding); acute toxicity was also an important risk factor for G2–G3 bleeding ( D mod =0.93). Concerning incontinence, surg and previous diseases of the colon were the clinical co-factors. D mod (surg) and D mod (colon) were 0.50 and 0.42, respectively for chronic incontinence and 0.73 and 0.64, respectively for mean incontinence score ⩾1. Best-fit n values were 0.03–0.05 and 1 for bleeding and incontinence, respectively. The inclusion of clinical factors always improved the predictive value of the models. Conclusions The inclusion of predisposing clinical factors improves NTCP estimation; the assessment of other clinical and genetic factors will be useful to reduce parameter uncertainties. |
| Databáze: | OpenAIRE |
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