Literature DB >> 25636766

Comparison and limitations of DVH-based NTCP models derived from 3D-CRT and IMRT data for prediction of gastrointestinal toxicities in prostate cancer patients by using propensity score matched pair analysis.

Almut Troeller1, Di Yan2, Ovidiu Marina3, Derek Schulze3, Markus Alber4, Katia Parodi5, Claus Belka6, Matthias Söhn6.   

Abstract

PURPOSE: This study compared normal tissue complication probability (NTCP) modeling of chronic gastrointestinal toxicities following prostate cancer treatment for 2 treatment modalities. Possible factors causing discrepancies in optimal NTCP model parameters between 3-dimensional conformal radiation therapy (3D-CRT) and intensity modulated RT (IMRT) were analyzed and discussed, including the impact of patient characteristics, image guidance, toxicity scoring bias, and NTCP model limitations. METHODS AND MATERIALS: Rectal wall dose-volume histograms of 1115 patients treated for prostate cancer under an adaptive radiation therapy protocol were used to model gastrointestinal toxicity grade ≥2 (according to Common Terminology Criteria for Adverse Events). A total of 457 patients were treated with 3D-CRT and 658 with IMRT. 3D-CRT patients were matched to IMRT patients based on various patient characteristics, using a propensity score-based algorithm. Parameters of the Lyman equivalent uniform dose and cut-off dose logistic regression NTCP models were estimated for the 2 matched treatment modalities and the combined group.
RESULTS: After they were matched, the 3D-CRT and IMRT groups contained 275 and 550 patients with a large discrepancy of 28.7% versus 7.8% toxicities, respectively (P<.001). For both NTCP models, optimal parameters found for the 3D-CRT groups did not fit the IMRT patients well and vice versa. Models developed for the combined data overestimated NTCP for the IMRT patients and underestimated NTCP for the 3D-CRT group.
CONCLUSIONS: Our analysis did not reveal a single definitive cause for discrepancies of model parameters between 3D-CRT and IMRT. Patient characteristics and bias in toxicity scoring, as well as image guidance alone, are unlikely causes of the large discrepancy of toxicities. Whether the cause was inherent to the specific NTCP models used in this study needs to be verified by future investigations. Because IMRT is increasingly used clinically, it is important that appropriate NTCP model parameters are determined for this treatment modality.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25636766     DOI: 10.1016/j.ijrobp.2014.09.046

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


  12 in total

1.  Detecting spatial susceptibility to cardiac toxicity of radiation therapy for lung cancer.

Authors:  Xiaonan Liu; Mirek Fatyga; Steven E Schild; Jing Li
Journal:  IISE Trans Healthc Syst Eng       Date:  2020-07-22

2.  Tolerance doses for late adverse events after hypofractionated radiotherapy for prostate cancer on trial NRG Oncology/RTOG 0415.

Authors:  Maria Thor; Joseph O Deasy; Rebecca Paulus; W Robert Lee; Mahul B Amin; Deborah W Bruner; Daniel A Low; Amit B Shah; Shawn C Malone; Jeff M Michalski; Ian S Dayes; Samantha A Seaward; Elizabeth M Gore; Michele Albert; Thomas M Pisansky; Sergio L Faria; Yuhchyau Chen; Bridget F Koontz; Gregory P Swanson; Stephanie L Pugh; Howard M Sandler
Journal:  Radiother Oncol       Date:  2019-03-05       Impact factor: 6.280

3.  Spatial rectal dose/volume metrics predict patient-reported gastro-intestinal symptoms after radiotherapy for prostate cancer.

Authors:  Oscar Casares-Magaz; Ludvig Paul Muren; Vitali Moiseenko; Stine E Petersen; Niclas Johan Pettersson; Morten Høyer; Joseph O Deasy; Maria Thor
Journal:  Acta Oncol       Date:  2017-09-08       Impact factor: 4.089

4.  Investigation of the changes in the prostate, bladder, and rectal wall sizes during external beam radiotherapy.

Authors:  Osamu Tanaka; Kensaku Seike; Takuya Taniguchi; Kousei Ono; Masayuki Matsuo
Journal:  Rep Pract Oncol Radiother       Date:  2019-02-22

5.  The Effectiveness of Intensity Modulated Radiation Therapy versus Three-Dimensional Radiation Therapy in Prostate Cancer: A Meta-Analysis of the Literatures.

Authors:  Ting Yu; Qiongwen Zhang; Tianying Zheng; Huashan Shi; Yang Liu; Shijian Feng; Meiqin Hao; Lei Ye; Xueqian Wu; Cheng Yang
Journal:  PLoS One       Date:  2016-05-12       Impact factor: 3.240

6.  Prostate external beam radiotherapy combined with high-dose-rate brachytherapy: dose-volume parameters from deformably-registered plans correlate with late gastrointestinal complications.

Authors:  Calyn R Moulton; Michael J House; Victoria Lye; Colin I Tang; Michele Krawiec; David J Joseph; James W Denham; Martin A Ebert
Journal:  Radiat Oncol       Date:  2016-10-31       Impact factor: 3.481

7.  An integrated strategy of biological and physical constraints in biological optimization for cervical carcinoma.

Authors:  Ziwei Feng; Cheng Tao; Jian Zhu; Jinhu Chen; Gang Yu; Shaohua Qin; Yong Yin; Dengwang Li
Journal:  Radiat Oncol       Date:  2017-04-04       Impact factor: 3.481

Review 8.  Roadmap: proton therapy physics and biology.

Authors:  Harald Paganetti; Chris Beltran; Stefan Both; Lei Dong; Jacob Flanz; Keith Furutani; Clemens Grassberger; David R Grosshans; Antje-Christin Knopf; Johannes A Langendijk; Hakan Nystrom; Katia Parodi; Bas W Raaymakers; Christian Richter; Gabriel O Sawakuchi; Marco Schippers; Simona F Shaitelman; B K Kevin Teo; Jan Unkelbach; Patrick Wohlfahrt; Tony Lomax
Journal:  Phys Med Biol       Date:  2021-02-26       Impact factor: 4.174

9.  Lungtech, a phase II EORTC trial of SBRT for centrally located lung tumours - a clinical physics perspective.

Authors:  Marie Lambrecht; Christos Melidis; Jan-Jakob Sonke; Sonja Adebahr; Ronald Boellaard; Marcel Verheij; Matthias Guckenberger; Ursula Nestle; Coen Hurkmans
Journal:  Radiat Oncol       Date:  2016-01-20       Impact factor: 3.481

10.  Incorporating big data into treatment plan evaluation: Development of statistical DVH metrics and visualization dashboards.

Authors:  Charles S Mayo; John Yao; Avraham Eisbruch; James M Balter; Dale W Litzenberg; Martha M Matuszak; Marc L Kessler; Grant Weyburn; Carlos J Anderson; Dawn Owen; William C Jackson; Randall Ten Haken
Journal:  Adv Radiat Oncol       Date:  2017-04-27
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