Mean heart dose-based normal tissue complication probability model for pericardial effusion: a study in oesophageal cancer patients

Abstract We investigated the normal tissue complication probability (NTCP) of the incidence of pericardial effusion (PCE) based on the mean heart dose (MHD) in patients with oesophageal cancer treated with definitive chemoradiotherapy. The incidences of PCE in any grade (A-PCE) and symptomatic PCE (...

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Autores principales: Junichi Fukada, Kyohei Fukata, Naoyoshi Koike, Ryuichi Kota, Naoyuki Shigematsu
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/f5b7191eac134185ba4539b22de58951
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spelling oai:doaj.org-article:f5b7191eac134185ba4539b22de589512021-12-02T15:31:27ZMean heart dose-based normal tissue complication probability model for pericardial effusion: a study in oesophageal cancer patients10.1038/s41598-021-97605-92045-2322https://doaj.org/article/f5b7191eac134185ba4539b22de589512021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97605-9https://doaj.org/toc/2045-2322Abstract We investigated the normal tissue complication probability (NTCP) of the incidence of pericardial effusion (PCE) based on the mean heart dose (MHD) in patients with oesophageal cancer treated with definitive chemoradiotherapy. The incidences of PCE in any grade (A-PCE) and symptomatic PCE (S-PCE) were evaluated separately. To identify predictors for PCE, several clinical and dose-volume parameters were analysed using a receiver operating characteristic (ROC) curve and multivariate regression analysis. To validate its clinical applicability, the generated NTCP model was compared to the Lyman–Kutcher–Burman (LKB) model. Among 229 eligible patients, A-PCE and S-PCE were observed in 100 (43.7%) and 18 (7.9%) patients, respectively. MHD showed a preferable area under the curve (AUC) value for S-PCE (AUC = 0.821) and A-PCE (AUC = 0.734). MHD was the only significant predictor for A-PCE; MHD and hypertension were selected as significant factors for S-PCE. The estimated NTCP, using the MHD-based model, showed excellent correspondence to the LKB model in A-PCE and S-PCE. The NTCP curve of A-PCE was gentler than that of S-PCE and had no threshold. The MHD-based NTCP model was simple but comparable to the LKB model for both A-PCE and S-PCE. Therefore, the estimated NTCP may provide clinically useful parameters for predicting PCE.Junichi FukadaKyohei FukataNaoyoshi KoikeRyuichi KotaNaoyuki ShigematsuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Junichi Fukada
Kyohei Fukata
Naoyoshi Koike
Ryuichi Kota
Naoyuki Shigematsu
Mean heart dose-based normal tissue complication probability model for pericardial effusion: a study in oesophageal cancer patients
description Abstract We investigated the normal tissue complication probability (NTCP) of the incidence of pericardial effusion (PCE) based on the mean heart dose (MHD) in patients with oesophageal cancer treated with definitive chemoradiotherapy. The incidences of PCE in any grade (A-PCE) and symptomatic PCE (S-PCE) were evaluated separately. To identify predictors for PCE, several clinical and dose-volume parameters were analysed using a receiver operating characteristic (ROC) curve and multivariate regression analysis. To validate its clinical applicability, the generated NTCP model was compared to the Lyman–Kutcher–Burman (LKB) model. Among 229 eligible patients, A-PCE and S-PCE were observed in 100 (43.7%) and 18 (7.9%) patients, respectively. MHD showed a preferable area under the curve (AUC) value for S-PCE (AUC = 0.821) and A-PCE (AUC = 0.734). MHD was the only significant predictor for A-PCE; MHD and hypertension were selected as significant factors for S-PCE. The estimated NTCP, using the MHD-based model, showed excellent correspondence to the LKB model in A-PCE and S-PCE. The NTCP curve of A-PCE was gentler than that of S-PCE and had no threshold. The MHD-based NTCP model was simple but comparable to the LKB model for both A-PCE and S-PCE. Therefore, the estimated NTCP may provide clinically useful parameters for predicting PCE.
format article
author Junichi Fukada
Kyohei Fukata
Naoyoshi Koike
Ryuichi Kota
Naoyuki Shigematsu
author_facet Junichi Fukada
Kyohei Fukata
Naoyoshi Koike
Ryuichi Kota
Naoyuki Shigematsu
author_sort Junichi Fukada
title Mean heart dose-based normal tissue complication probability model for pericardial effusion: a study in oesophageal cancer patients
title_short Mean heart dose-based normal tissue complication probability model for pericardial effusion: a study in oesophageal cancer patients
title_full Mean heart dose-based normal tissue complication probability model for pericardial effusion: a study in oesophageal cancer patients
title_fullStr Mean heart dose-based normal tissue complication probability model for pericardial effusion: a study in oesophageal cancer patients
title_full_unstemmed Mean heart dose-based normal tissue complication probability model for pericardial effusion: a study in oesophageal cancer patients
title_sort mean heart dose-based normal tissue complication probability model for pericardial effusion: a study in oesophageal cancer patients
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/f5b7191eac134185ba4539b22de58951
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