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Nomogram to predict rectal toxicity following prostate cancer radiotherapy

BACKGROUND: To identify predictors of acute and late rectal toxicity following prostate cancer radiotherapy (RT), while integrating the potential impact of RT technique, dose escalation, and moderate hypofractionation, thus enabling us to generate a nomogram for individual prediction. METHODS: In to...

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Autores principales: Delobel, Jean-Bernard, Gnep, Khemara, Ospina, Juan David, Beckendorf, Véronique, Chira, Ciprian, Zhu, Jian, Bossi, Alberto, Messai, Taha, Acosta, Oscar, Castelli, Joël, de Crevoisier, Renaud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5480987/
https://www.ncbi.nlm.nih.gov/pubmed/28640871
http://dx.doi.org/10.1371/journal.pone.0179845
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author Delobel, Jean-Bernard
Gnep, Khemara
Ospina, Juan David
Beckendorf, Véronique
Chira, Ciprian
Zhu, Jian
Bossi, Alberto
Messai, Taha
Acosta, Oscar
Castelli, Joël
de Crevoisier, Renaud
author_facet Delobel, Jean-Bernard
Gnep, Khemara
Ospina, Juan David
Beckendorf, Véronique
Chira, Ciprian
Zhu, Jian
Bossi, Alberto
Messai, Taha
Acosta, Oscar
Castelli, Joël
de Crevoisier, Renaud
author_sort Delobel, Jean-Bernard
collection PubMed
description BACKGROUND: To identify predictors of acute and late rectal toxicity following prostate cancer radiotherapy (RT), while integrating the potential impact of RT technique, dose escalation, and moderate hypofractionation, thus enabling us to generate a nomogram for individual prediction. METHODS: In total, 972 patients underwent RT for localized prostate cancer, to a total dose of 70 Gy or 80 Gy, using two different fractionations (2 Gy or 2.5 Gy/day), by means of several RT techniques (3D conformal RT [3DCRT], intensity-modulated RT [IMRT], or image-guided RT [IGRT]). Multivariate analyses were performed to identify predictors of acute and late rectal toxicity. A nomogram was generated based on the logistic regression model used to predict the 3-year rectal toxicity risk, with its accuracy assessed by dividing the cohort into training and validation subgroups. RESULTS: Mean follow-up for the entire cohort was 62 months, ranging from 6 to 235. The rate of acute Grade ≥2 rectal toxicity was 22.2%, decreasing when combining IMRT and IGRT, compared to 3DCRT (RR = 0.4, 95%CI: 0.3–0.6, p<0.01). The 5-year Grade ≥2 risks for rectal bleeding, urgency/tenesmus, diarrhea, and fecal incontinence were 9.9%, 4.5%, 2.8%, and 0.4%, respectively. The 3-year Grade ≥2 risk for overall rectal toxicity increased with total dose (p<0.01, RR = 1.1, 95%CI: 1.0–1.1) and dose per fraction (2Gy vs. 2.5Gy) (p = 0.03, RR = 3.3, 95%CI: 1.1–10.0), and decreased when combining IMRT and IGRT (RR = 0.50, 95% CI: 0.3–0.8, p<0.01). Based on these three parameters, a nomogram was generated. CONCLUSIONS: Dose escalation and moderate hypofractionation increase late rectal toxicity. IMRT combined with IGRT markedly decreases acute and late rectal toxicity. Performing combined IMRT and IGRT can thus be envisaged for dose escalation and moderate hypofractionation. Our nomogram predicts the 3-year rectal toxicity risk by integrating total dose, fraction dose, and RT technique.
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spelling pubmed-54809872017-07-05 Nomogram to predict rectal toxicity following prostate cancer radiotherapy Delobel, Jean-Bernard Gnep, Khemara Ospina, Juan David Beckendorf, Véronique Chira, Ciprian Zhu, Jian Bossi, Alberto Messai, Taha Acosta, Oscar Castelli, Joël de Crevoisier, Renaud PLoS One Research Article BACKGROUND: To identify predictors of acute and late rectal toxicity following prostate cancer radiotherapy (RT), while integrating the potential impact of RT technique, dose escalation, and moderate hypofractionation, thus enabling us to generate a nomogram for individual prediction. METHODS: In total, 972 patients underwent RT for localized prostate cancer, to a total dose of 70 Gy or 80 Gy, using two different fractionations (2 Gy or 2.5 Gy/day), by means of several RT techniques (3D conformal RT [3DCRT], intensity-modulated RT [IMRT], or image-guided RT [IGRT]). Multivariate analyses were performed to identify predictors of acute and late rectal toxicity. A nomogram was generated based on the logistic regression model used to predict the 3-year rectal toxicity risk, with its accuracy assessed by dividing the cohort into training and validation subgroups. RESULTS: Mean follow-up for the entire cohort was 62 months, ranging from 6 to 235. The rate of acute Grade ≥2 rectal toxicity was 22.2%, decreasing when combining IMRT and IGRT, compared to 3DCRT (RR = 0.4, 95%CI: 0.3–0.6, p<0.01). The 5-year Grade ≥2 risks for rectal bleeding, urgency/tenesmus, diarrhea, and fecal incontinence were 9.9%, 4.5%, 2.8%, and 0.4%, respectively. The 3-year Grade ≥2 risk for overall rectal toxicity increased with total dose (p<0.01, RR = 1.1, 95%CI: 1.0–1.1) and dose per fraction (2Gy vs. 2.5Gy) (p = 0.03, RR = 3.3, 95%CI: 1.1–10.0), and decreased when combining IMRT and IGRT (RR = 0.50, 95% CI: 0.3–0.8, p<0.01). Based on these three parameters, a nomogram was generated. CONCLUSIONS: Dose escalation and moderate hypofractionation increase late rectal toxicity. IMRT combined with IGRT markedly decreases acute and late rectal toxicity. Performing combined IMRT and IGRT can thus be envisaged for dose escalation and moderate hypofractionation. Our nomogram predicts the 3-year rectal toxicity risk by integrating total dose, fraction dose, and RT technique. Public Library of Science 2017-06-22 /pmc/articles/PMC5480987/ /pubmed/28640871 http://dx.doi.org/10.1371/journal.pone.0179845 Text en © 2017 Delobel et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Delobel, Jean-Bernard
Gnep, Khemara
Ospina, Juan David
Beckendorf, Véronique
Chira, Ciprian
Zhu, Jian
Bossi, Alberto
Messai, Taha
Acosta, Oscar
Castelli, Joël
de Crevoisier, Renaud
Nomogram to predict rectal toxicity following prostate cancer radiotherapy
title Nomogram to predict rectal toxicity following prostate cancer radiotherapy
title_full Nomogram to predict rectal toxicity following prostate cancer radiotherapy
title_fullStr Nomogram to predict rectal toxicity following prostate cancer radiotherapy
title_full_unstemmed Nomogram to predict rectal toxicity following prostate cancer radiotherapy
title_short Nomogram to predict rectal toxicity following prostate cancer radiotherapy
title_sort nomogram to predict rectal toxicity following prostate cancer radiotherapy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5480987/
https://www.ncbi.nlm.nih.gov/pubmed/28640871
http://dx.doi.org/10.1371/journal.pone.0179845
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