Literature DB >> 33419144

Predicting Radiotherapy Impact on Late Bladder Toxicity in Prostate Cancer Patients: An Observational Study.

Francesco Catucci1, Anna Rita Alitto1, Carlotta Masciocchi1, Nicola Dinapoli1, Roberto Gatta2, Antonella Martino1, Ciro Mazzarella1, Bruno Fionda1, Vincenzo Frascino1, Antonio Piras3, Andrea D'Aviero3, Francesco Preziosi3, Giovanni Palazzoni1,3, Vincenzo Valentini1,3, Giovanna Mantini1,3.   

Abstract

BACKGROUND AND
PURPOSE: The aim of our study was to elaborate a suitable model on bladder late toxicity in prostate cancer (PC) patients treated by radiotherapy with volumetric technique.
MATERIALS AND METHODS: PC patients treated between September 2010 and April 2017 were included in the analysis. An observational study was performed collecting late toxicity data of any grade, according to RTOG and CTCAE 4.03 scales, cumulative dose volumes histograms were exported for each patient. Vdose, the value of dose to a specific volume of organ at risk (OAR), impact was analyzed through the Mann-Whitney rank-sum test. Logistic regression was used as the final model. The model performance was estimated by taking 1000 samples with replacement from the original dataset and calculating the AUC average. In addition, the calibration plot (Hosmer-Lemeshow goodness-of-fit test) was used to evaluate the performance of internal validation. RStudio Software version 3.3.1 and an in house developed software package "Moddicom" were used.
RESULTS: Data from 175 patients were collected. The median follow-up was 39 months (min-max 3.00-113.00). We performed Mann-Whitney rank-sum test with continuity correction in the subset of patients with late bladder toxicity grade ≥ 2: a statistically significant p-value with a Vdose of 51.43 Gy by applying a logistic regression model (coefficient 4.3, p value 0.025) for the prediction of the development of late G ≥ 2 GU toxicity was observed. The performance for the model's internal validation was evaluated, with an AUC equal to 0.626. Accuracy was estimated through the elaboration of a calibration plot.
CONCLUSIONS: Our preliminary results could help to optimize treatment planning procedures and customize treatments.

Entities:  

Keywords:  decision supporting systems; predictive models; prostate cancer; toxicity prediction

Year:  2021        PMID: 33419144     DOI: 10.3390/cancers13020175

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  2 in total

Review 1.  Covid-19 and radiotherapy: a systematic review after 2 years of pandemic.

Authors:  Antonio Piras; Valeria Venuti; Andrea D'Aviero; Davide Cusumano; Stefano Pergolizzi; Antonino Daidone; Luca Boldrini
Journal:  Clin Transl Imaging       Date:  2022-07-23

2.  Dose-volume analysis of planned versus accumulated dose as a predictor for late gastrointestinal toxicity in men receiving radiotherapy for high-risk prostate cancer.

Authors:  Ashley L K Ong; Kellie Knight; Vanessa Panettieri; Mathew Dimmock; Jeffrey K L Tuan; Hong Qi Tan; Caroline Wright
Journal:  Phys Imaging Radiat Oncol       Date:  2022-07-16
  2 in total

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