A novel dosimetric metrics-based risk model to predict local recurrence in nasopharyngeal carcinoma patients treated with intensity-modulated radiation therapy

Abstract Background To develop a risk model based on dosimetric metrics to predict local recurrence in nasopharyngeal carcinoma (NPC) patients treated with intensive modulated radiation therapy (IMRT). Methods 493 consecutive patients were included, among whom 44 were with local recurrence. One-to-t...

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Main Authors: Wenjun Liao, Jinlan He, Zijian Liu, Maolang Tian, Jiangping Yang, Jiaqi Han, Jianghong Xiao
Format: Article
Language:English
Published: BMC 2021-09-01
Series:Radiation Oncology
Subjects:
Online Access:https://doi.org/10.1186/s13014-021-01911-5
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spelling doaj-8745d4917048497d8cfceb7124a6ccf82021-09-26T11:19:06ZengBMCRadiation Oncology1748-717X2021-09-0116111210.1186/s13014-021-01911-5A novel dosimetric metrics-based risk model to predict local recurrence in nasopharyngeal carcinoma patients treated with intensity-modulated radiation therapyWenjun Liao0Jinlan He1Zijian Liu2Maolang Tian3Jiangping Yang4Jiaqi Han5Jianghong Xiao6Department of Radiation Oncology, West China Hospital, Sichuan UniversityDepartment of Radiation Oncology, West China Hospital, Sichuan UniversityDepartment of Radiation Oncology, West China Hospital, Sichuan UniversityDepartment of Radiation Oncology, West China Hospital, Sichuan UniversityDepartment of Radiation Oncology, West China Hospital, Sichuan UniversityDepartment of Radiation Oncology, West China Hospital, Sichuan UniversityDepartment of Radiation Oncology, West China Hospital, Sichuan UniversityAbstract Background To develop a risk model based on dosimetric metrics to predict local recurrence in nasopharyngeal carcinoma (NPC) patients treated with intensive modulated radiation therapy (IMRT). Methods 493 consecutive patients were included, among whom 44 were with local recurrence. One-to-two propensity score matching (PSM) was used to balance variables between recurrent and non-recurrent groups. Dosimetric metrics were extracted, and critical dosimetric predictors of local recurrence were identified by Cox regression model. Moreover, recurrent sites and patterns were examined by transferring the recurrent tumor to the pretreatment planning computed tomography. Results After PSM, 44 recurrent and 88 non-recurrent patients were used for dosimetric analysis. The univariate analysis showed that eight dosimetric metrics and homogeneity index were significantly associated with local recurrence. The risk model integrating D 5 and D 95 achieved a C-index of 0.706 for predicting 3-year local recurrence free survival (LRFS). By grouping patients using median value of risk score, patients with risk score ˃ 0.885 had significantly lower 3-year LRFS (66.2% vs. 86.4%, p = 0.023). As for recurrent features, the proportion of relapse in nasopharynx cavity, clivus, and pterygopalatine fossa was 61.4%, 52.3%, and 40.9%, respectively; and in field, marginal, and outside field recurrence constituted 68.2%, 20.5% and 11.3% of total recurrence, respectively. Conclusions The current study developed a novel risk model that could effectively predict the LRFS in NPC patients. Additionally, nasopharynx cavity, clivus, and pterygopalatine fossa were common recurrent sites and in field recurrence remained the major failure pattern of NPC in the IMRT era.https://doi.org/10.1186/s13014-021-01911-5Nasopharyngeal carcinomaIntensity-modulated radiation therapyLocal recurrenceDosimetric metricsDose volume histogram
collection DOAJ
language English
format Article
sources DOAJ
author Wenjun Liao
Jinlan He
Zijian Liu
Maolang Tian
Jiangping Yang
Jiaqi Han
Jianghong Xiao
spellingShingle Wenjun Liao
Jinlan He
Zijian Liu
Maolang Tian
Jiangping Yang
Jiaqi Han
Jianghong Xiao
A novel dosimetric metrics-based risk model to predict local recurrence in nasopharyngeal carcinoma patients treated with intensity-modulated radiation therapy
Radiation Oncology
Nasopharyngeal carcinoma
Intensity-modulated radiation therapy
Local recurrence
Dosimetric metrics
Dose volume histogram
author_facet Wenjun Liao
Jinlan He
Zijian Liu
Maolang Tian
Jiangping Yang
Jiaqi Han
Jianghong Xiao
author_sort Wenjun Liao
title A novel dosimetric metrics-based risk model to predict local recurrence in nasopharyngeal carcinoma patients treated with intensity-modulated radiation therapy
title_short A novel dosimetric metrics-based risk model to predict local recurrence in nasopharyngeal carcinoma patients treated with intensity-modulated radiation therapy
title_full A novel dosimetric metrics-based risk model to predict local recurrence in nasopharyngeal carcinoma patients treated with intensity-modulated radiation therapy
title_fullStr A novel dosimetric metrics-based risk model to predict local recurrence in nasopharyngeal carcinoma patients treated with intensity-modulated radiation therapy
title_full_unstemmed A novel dosimetric metrics-based risk model to predict local recurrence in nasopharyngeal carcinoma patients treated with intensity-modulated radiation therapy
title_sort novel dosimetric metrics-based risk model to predict local recurrence in nasopharyngeal carcinoma patients treated with intensity-modulated radiation therapy
publisher BMC
series Radiation Oncology
issn 1748-717X
publishDate 2021-09-01
description Abstract Background To develop a risk model based on dosimetric metrics to predict local recurrence in nasopharyngeal carcinoma (NPC) patients treated with intensive modulated radiation therapy (IMRT). Methods 493 consecutive patients were included, among whom 44 were with local recurrence. One-to-two propensity score matching (PSM) was used to balance variables between recurrent and non-recurrent groups. Dosimetric metrics were extracted, and critical dosimetric predictors of local recurrence were identified by Cox regression model. Moreover, recurrent sites and patterns were examined by transferring the recurrent tumor to the pretreatment planning computed tomography. Results After PSM, 44 recurrent and 88 non-recurrent patients were used for dosimetric analysis. The univariate analysis showed that eight dosimetric metrics and homogeneity index were significantly associated with local recurrence. The risk model integrating D 5 and D 95 achieved a C-index of 0.706 for predicting 3-year local recurrence free survival (LRFS). By grouping patients using median value of risk score, patients with risk score ˃ 0.885 had significantly lower 3-year LRFS (66.2% vs. 86.4%, p = 0.023). As for recurrent features, the proportion of relapse in nasopharynx cavity, clivus, and pterygopalatine fossa was 61.4%, 52.3%, and 40.9%, respectively; and in field, marginal, and outside field recurrence constituted 68.2%, 20.5% and 11.3% of total recurrence, respectively. Conclusions The current study developed a novel risk model that could effectively predict the LRFS in NPC patients. Additionally, nasopharynx cavity, clivus, and pterygopalatine fossa were common recurrent sites and in field recurrence remained the major failure pattern of NPC in the IMRT era.
topic Nasopharyngeal carcinoma
Intensity-modulated radiation therapy
Local recurrence
Dosimetric metrics
Dose volume histogram
url https://doi.org/10.1186/s13014-021-01911-5
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