Literature DB >> 30716523

Voxel-Based Analysis for Identification of Urethrovesical Subregions Predicting Urinary Toxicity After Prostate Cancer Radiation Therapy.

Eugenia Mylona1, Oscar Acosta1, Thibaut Lizee1, Caroline Lafond1, Gilles Crehange2, Nicolas Magné3, Sophie Chiavassa4, Stéphane Supiot4, Juan David Ospina Arango5, Borris Campillo-Gimenez1, Joel Castelli1, Renaud de Crevoisier6.   

Abstract

PURPOSE: To apply a voxel-based analysis to identify urethrovesical symptom-related subregions (SRSs) associated with acute and late urinary toxicity in prostate cancer radiation therapy. METHODS AND MATERIALS: Two hundred seventy-two patients with prostate cancer treated with intensity-modulated radiation therapy/image-guided radiation therapy were analyzed prospectively. Each patient's computed tomography imaging was spatially normalized to a common coordinate system via nonrigid registration. The obtained deformation fields were used to map the dose of each patient to the common coordinate system. A voxel-based statistical analysis was applied to generate 3-dimensional dose-volume maps for different urinary symptoms, allowing the identification of corresponding SRSs with statistically significant dose differences between patients with or without toxicity. Each SRS was propagated back to each individual's native space, and dose-volume histograms (DVHs) for the SRSs and the whole bladder were computed. Logistic and Cox regression were used to estimate the SRS's prediction capability compared with the whole bladder.
RESULTS: A local dose-effect relationship was found in the bladder and the urethra. SRSs were identified for 5 symptoms: acute incontinence in the urethra, acute retention in the bladder trigone, late retention and dysuria in the posterior part of the bladder, and late hematuria in the superior part of the bladder, with significant dose differences between patients with and without toxicity, ranging from 1.2 to 9.3 Gy. The doses to the SRSs were significantly predictive of toxicity, with maximum areas under the receiver operating characteristic curve of 0.73 for acute incontinence, 0.62 for acute retention, 0.70 for late retention, 0.81 for late dysuria, and 0.67 for late hematuria. The bladder DVH was predictive only for late retention, dysuria, and hematuria (area under the curve, 0.65-0.72).
CONCLUSIONS: The dose delivered to the urethra and the posterior and superior parts of the bladder was predictive of acute incontinence and retention and of late retention, dysuria, and hematuria. The dose to the whole bladder was moderately predictive.
Copyright © 2019 Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 30716523     DOI: 10.1016/j.ijrobp.2019.01.088

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  7 in total

1.  Bladder surface dose modeling in prostate cancer radiotherapy: An analysis of motion-induced variations and the cumulative dose across the treatment.

Authors:  Yi Lao; Minsong Cao; Yingli Yang; Amar U Kishan; Wensha Yang; Yalin Wang; Ke Sheng
Journal:  Med Phys       Date:  2021-11-16       Impact factor: 4.071

2.  Probing thoracic dose patterns associated to pericardial effusion and mortality in patients treated with photons and protons for locally advanced non-small-cell lung cancer.

Authors:  Laura Cella; Serena Monti; Ting Xu; Raffaele Liuzzi; Arnaldo Stanzione; Marco Durante; Radhe Mohan; Zhongxing Liao; Giuseppe Palma
Journal:  Radiother Oncol       Date:  2021-05-09       Impact factor: 6.901

3.  External Validation of a Predictive Model of Urethral Strictures for Prostate Patients Treated With HDR Brachytherapy Boost.

Authors:  Vanessa Panettieri; Tiziana Rancati; Eva Onjukka; Martin A Ebert; David J Joseph; James W Denham; Allison Steigler; Jeremy L Millar
Journal:  Front Oncol       Date:  2020-06-11       Impact factor: 6.244

4.  Towards spatial representations of dose distributions to predict risk of normal tissue morbidity after radiotherapy.

Authors:  Oscar Casares-Magaz; Vitali Moiseenko; Marnix Witte; Tiziana Rancati; Ludvig P Muren
Journal:  Phys Imaging Radiat Oncol       Date:  2020-08-28

5.  Radiation-Induced Esophagitis in Non-Small-Cell Lung Cancer Patients: Voxel-Based Analysis and NTCP Modeling.

Authors:  Serena Monti; Ting Xu; Radhe Mohan; Zhongxing Liao; Giuseppe Palma; Laura Cella
Journal:  Cancers (Basel)       Date:  2022-04-05       Impact factor: 6.639

6.  Increased Dose to Organs in Urinary Tract Associates With Measures of Genitourinary Toxicity in Pooled Voxel-Based Analysis of 3 Randomized Phase III Trials.

Authors:  Marco Marcello; James W Denham; Angel Kennedy; Annette Haworth; Allison Steigler; Peter B Greer; Lois C Holloway; Jason A Dowling; Michael G Jameson; Dale Roach; David J Joseph; Sarah L Gulliford; David P Dearnaley; Matthew R Sydes; Emma Hall; Martin A Ebert
Journal:  Front Oncol       Date:  2020-07-22       Impact factor: 6.244

7.  Radiation Pneumonitis in Thoracic Cancer Patients: Multi-Center Voxel-Based Analysis.

Authors:  Giuseppe Palma; Serena Monti; Roberto Pacelli; Zhongxing Liao; Joseph O Deasy; Radhe Mohan; Laura Cella
Journal:  Cancers (Basel)       Date:  2021-07-15       Impact factor: 6.639

  7 in total

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