Cargando…

Impact of Paranasal Sinus Invasion on Oncologic and Dosimetric Outcomes in Nasopharyngeal Carcinoma Following Intensity-Modulated Radiation Therapy—Implications for Risk Stratification and Planning Optimization

Purpose: This study aims to investigate the prognostic value and dosimetric impact of paranasal sinus invasion (PSI) in patients with nasopharyngeal carcinoma (NPC), and further to explore the feasibility of an integrative prognostic model based on anatomic, volumetric, and dosimetric features. Meth...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Xin, He, Xiayun, Xue, Fen, Ou, Xiaomin, Hu, Chaosu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179663/
https://www.ncbi.nlm.nih.gov/pubmed/32373507
http://dx.doi.org/10.3389/fonc.2020.00407
_version_ 1783525682268078080
author Zhou, Xin
He, Xiayun
Xue, Fen
Ou, Xiaomin
Hu, Chaosu
author_facet Zhou, Xin
He, Xiayun
Xue, Fen
Ou, Xiaomin
Hu, Chaosu
author_sort Zhou, Xin
collection PubMed
description Purpose: This study aims to investigate the prognostic value and dosimetric impact of paranasal sinus invasion (PSI) in patients with nasopharyngeal carcinoma (NPC), and further to explore the feasibility of an integrative prognostic model based on anatomic, volumetric, and dosimetric features. Methods: Two hundred six patients with T3 NPC receiving intensity-modulated radiation therapy (IMRT) were retrospectively analyzed. Dosimetric parameters were calculated from dose–volume histograms. Primary gross tumor volume (GTV-P) and dosimetric parameters were categorized using optimal cutpoints determined by R. Local recurrence-free survival (LRFS) was estimated using Kaplan–Meier method. Independent risk factors for LRFS were identified through univariable and multivariable analyses by Cox proportional hazards models. Results: The incidence of PSI was 10.7% (22/206). Patients with PSI had significantly inferior 5-year LRFS (77.3 vs. 93.8%, P = 0.006). IMRT plans for patients with PSI had larger dose heterogeneity, higher frequency of underdosing, and higher maximum dose to optic structures. When categorized by optimal cutpoints, GTV-P > 38.67 cm(3) (5-year LRFS, 84.8 vs. 97.4%, P = 0.008), and V66.88 < 89.87% (5-year LRFS, 67.1 vs. 94.5%, P < 0.001) were associated with significantly worse local outcome. Multivariable analyses showed that PSI, GTV-P > 38.67 cm(3), and V66.88 < 89.87% were independent risk factors for local relapse, either in patients with or without concurrent chemotherapy. An integrative prognostic model was then established upon the cumulative score of risk factors. Subgroups with score of 0, 1–2, and 3 had distinctive local outcomes; the 5-year LRFS was 96.6, 84.7, and 58.3%, respectively (P < 0.001). Conclusions: Paranasal sinus invasion jeopardized local control in T3 NPC patients due to large tumor burden and inadequate radiation dose in GTV-P. The presence of PSI, GTV-P, and radiation underdosing combined are critical for the risk stratification of local failure.
format Online
Article
Text
id pubmed-7179663
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-71796632020-05-05 Impact of Paranasal Sinus Invasion on Oncologic and Dosimetric Outcomes in Nasopharyngeal Carcinoma Following Intensity-Modulated Radiation Therapy—Implications for Risk Stratification and Planning Optimization Zhou, Xin He, Xiayun Xue, Fen Ou, Xiaomin Hu, Chaosu Front Oncol Oncology Purpose: This study aims to investigate the prognostic value and dosimetric impact of paranasal sinus invasion (PSI) in patients with nasopharyngeal carcinoma (NPC), and further to explore the feasibility of an integrative prognostic model based on anatomic, volumetric, and dosimetric features. Methods: Two hundred six patients with T3 NPC receiving intensity-modulated radiation therapy (IMRT) were retrospectively analyzed. Dosimetric parameters were calculated from dose–volume histograms. Primary gross tumor volume (GTV-P) and dosimetric parameters were categorized using optimal cutpoints determined by R. Local recurrence-free survival (LRFS) was estimated using Kaplan–Meier method. Independent risk factors for LRFS were identified through univariable and multivariable analyses by Cox proportional hazards models. Results: The incidence of PSI was 10.7% (22/206). Patients with PSI had significantly inferior 5-year LRFS (77.3 vs. 93.8%, P = 0.006). IMRT plans for patients with PSI had larger dose heterogeneity, higher frequency of underdosing, and higher maximum dose to optic structures. When categorized by optimal cutpoints, GTV-P > 38.67 cm(3) (5-year LRFS, 84.8 vs. 97.4%, P = 0.008), and V66.88 < 89.87% (5-year LRFS, 67.1 vs. 94.5%, P < 0.001) were associated with significantly worse local outcome. Multivariable analyses showed that PSI, GTV-P > 38.67 cm(3), and V66.88 < 89.87% were independent risk factors for local relapse, either in patients with or without concurrent chemotherapy. An integrative prognostic model was then established upon the cumulative score of risk factors. Subgroups with score of 0, 1–2, and 3 had distinctive local outcomes; the 5-year LRFS was 96.6, 84.7, and 58.3%, respectively (P < 0.001). Conclusions: Paranasal sinus invasion jeopardized local control in T3 NPC patients due to large tumor burden and inadequate radiation dose in GTV-P. The presence of PSI, GTV-P, and radiation underdosing combined are critical for the risk stratification of local failure. Frontiers Media S.A. 2020-04-15 /pmc/articles/PMC7179663/ /pubmed/32373507 http://dx.doi.org/10.3389/fonc.2020.00407 Text en Copyright © 2020 Zhou, He, Xue, Ou and Hu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Zhou, Xin
He, Xiayun
Xue, Fen
Ou, Xiaomin
Hu, Chaosu
Impact of Paranasal Sinus Invasion on Oncologic and Dosimetric Outcomes in Nasopharyngeal Carcinoma Following Intensity-Modulated Radiation Therapy—Implications for Risk Stratification and Planning Optimization
title Impact of Paranasal Sinus Invasion on Oncologic and Dosimetric Outcomes in Nasopharyngeal Carcinoma Following Intensity-Modulated Radiation Therapy—Implications for Risk Stratification and Planning Optimization
title_full Impact of Paranasal Sinus Invasion on Oncologic and Dosimetric Outcomes in Nasopharyngeal Carcinoma Following Intensity-Modulated Radiation Therapy—Implications for Risk Stratification and Planning Optimization
title_fullStr Impact of Paranasal Sinus Invasion on Oncologic and Dosimetric Outcomes in Nasopharyngeal Carcinoma Following Intensity-Modulated Radiation Therapy—Implications for Risk Stratification and Planning Optimization
title_full_unstemmed Impact of Paranasal Sinus Invasion on Oncologic and Dosimetric Outcomes in Nasopharyngeal Carcinoma Following Intensity-Modulated Radiation Therapy—Implications for Risk Stratification and Planning Optimization
title_short Impact of Paranasal Sinus Invasion on Oncologic and Dosimetric Outcomes in Nasopharyngeal Carcinoma Following Intensity-Modulated Radiation Therapy—Implications for Risk Stratification and Planning Optimization
title_sort impact of paranasal sinus invasion on oncologic and dosimetric outcomes in nasopharyngeal carcinoma following intensity-modulated radiation therapy—implications for risk stratification and planning optimization
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179663/
https://www.ncbi.nlm.nih.gov/pubmed/32373507
http://dx.doi.org/10.3389/fonc.2020.00407
work_keys_str_mv AT zhouxin impactofparanasalsinusinvasionononcologicanddosimetricoutcomesinnasopharyngealcarcinomafollowingintensitymodulatedradiationtherapyimplicationsforriskstratificationandplanningoptimization
AT hexiayun impactofparanasalsinusinvasionononcologicanddosimetricoutcomesinnasopharyngealcarcinomafollowingintensitymodulatedradiationtherapyimplicationsforriskstratificationandplanningoptimization
AT xuefen impactofparanasalsinusinvasionononcologicanddosimetricoutcomesinnasopharyngealcarcinomafollowingintensitymodulatedradiationtherapyimplicationsforriskstratificationandplanningoptimization
AT ouxiaomin impactofparanasalsinusinvasionononcologicanddosimetricoutcomesinnasopharyngealcarcinomafollowingintensitymodulatedradiationtherapyimplicationsforriskstratificationandplanningoptimization
AT huchaosu impactofparanasalsinusinvasionononcologicanddosimetricoutcomesinnasopharyngealcarcinomafollowingintensitymodulatedradiationtherapyimplicationsforriskstratificationandplanningoptimization