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Predictive value of pretreatment MRI texture analysis in patients with primary nasopharyngeal carcinoma

OBJECTIVES: To determine the predictive value of pretreatment MRI texture analysis for progression-free survival (PFS) in patients with primary nasopharyngeal carcinoma (NPC). METHODS: Ethical approval by the institutional review board was obtained for this retrospective analysis. In 79 patients wit...

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Autores principales: Mao, Jiaji, Fang, Jin, Duan, Xiaohui, Yang, Zehong, Cao, Minghui, Zhang, Fang, Lu, Liejing, Zhang, Xiang, Wu, Xiaoyan, Ding, Yue, Shen, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610272/
https://www.ncbi.nlm.nih.gov/pubmed/30617473
http://dx.doi.org/10.1007/s00330-018-5961-6
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author Mao, Jiaji
Fang, Jin
Duan, Xiaohui
Yang, Zehong
Cao, Minghui
Zhang, Fang
Lu, Liejing
Zhang, Xiang
Wu, Xiaoyan
Ding, Yue
Shen, Jun
author_facet Mao, Jiaji
Fang, Jin
Duan, Xiaohui
Yang, Zehong
Cao, Minghui
Zhang, Fang
Lu, Liejing
Zhang, Xiang
Wu, Xiaoyan
Ding, Yue
Shen, Jun
author_sort Mao, Jiaji
collection PubMed
description OBJECTIVES: To determine the predictive value of pretreatment MRI texture analysis for progression-free survival (PFS) in patients with primary nasopharyngeal carcinoma (NPC). METHODS: Ethical approval by the institutional review board was obtained for this retrospective analysis. In 79 patients with primary NPC, texture analysis of the primary tumour was performed on pretreatment T2 and contrast-enhanced T1-weighted images (T2WIs and CE-T1WIs). The Cox proportional hazards model was used to determine the association of texture features, tumour volume and the tumour-node-metastasis (TNM) stage with PFS. Survival curves were plotted using the Kaplan-Meier method. The prognostic performance was evaluated with the receiver operating characteristic (ROC) analyses and C-index. RESULTS: Tumour volume (hazard ratio, 1.054; 95% confidence interval [CI], 1.016–1.093) and CE-T1WI-based uniformity (hazard ratio, 0; 95% CI, 0–0.001) were identified as independent predictors for PFS (p < 0.05). Kaplan-Meier analysis showed that smaller tumour volume (less than the cut-off value, 11.699 cm(3)) and higher CE-T1WI-based uniformity (greater than the cut-off value, 0.856) were associated with improved PFS (p < 0.05). The combination of CE-T1WI-based uniformity with tumour volume and the overall stage predicted PFS better (area under the curve [AUC], 0.825; Cindex, 0.794) than the tumour volume (AUC, 0.659; C-index, 0.616) or the overall stage (AUC, 0.636; C-index, 0.627) did (p < 0.05). CONCLUSIONS: A texture parameter of pretreatment CE-T1WI-based uniformity improves the prediction of PFS in NPC patients. KEY POINTS: • Higher CE-T1WI-based uniformity and smaller tumour volume are predictive of improved PFS in NPC patients. • The combination of CE-T1WI-based uniformity with tumour volume and the overall stage has a better predictive ability for PFS than the tumour volume or the overall stage alone. • Pretreatment MRI texture analysis has a prognostic value for NPC patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-018-5961-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-66102722019-07-19 Predictive value of pretreatment MRI texture analysis in patients with primary nasopharyngeal carcinoma Mao, Jiaji Fang, Jin Duan, Xiaohui Yang, Zehong Cao, Minghui Zhang, Fang Lu, Liejing Zhang, Xiang Wu, Xiaoyan Ding, Yue Shen, Jun Eur Radiol Head and Neck OBJECTIVES: To determine the predictive value of pretreatment MRI texture analysis for progression-free survival (PFS) in patients with primary nasopharyngeal carcinoma (NPC). METHODS: Ethical approval by the institutional review board was obtained for this retrospective analysis. In 79 patients with primary NPC, texture analysis of the primary tumour was performed on pretreatment T2 and contrast-enhanced T1-weighted images (T2WIs and CE-T1WIs). The Cox proportional hazards model was used to determine the association of texture features, tumour volume and the tumour-node-metastasis (TNM) stage with PFS. Survival curves were plotted using the Kaplan-Meier method. The prognostic performance was evaluated with the receiver operating characteristic (ROC) analyses and C-index. RESULTS: Tumour volume (hazard ratio, 1.054; 95% confidence interval [CI], 1.016–1.093) and CE-T1WI-based uniformity (hazard ratio, 0; 95% CI, 0–0.001) were identified as independent predictors for PFS (p < 0.05). Kaplan-Meier analysis showed that smaller tumour volume (less than the cut-off value, 11.699 cm(3)) and higher CE-T1WI-based uniformity (greater than the cut-off value, 0.856) were associated with improved PFS (p < 0.05). The combination of CE-T1WI-based uniformity with tumour volume and the overall stage predicted PFS better (area under the curve [AUC], 0.825; Cindex, 0.794) than the tumour volume (AUC, 0.659; C-index, 0.616) or the overall stage (AUC, 0.636; C-index, 0.627) did (p < 0.05). CONCLUSIONS: A texture parameter of pretreatment CE-T1WI-based uniformity improves the prediction of PFS in NPC patients. KEY POINTS: • Higher CE-T1WI-based uniformity and smaller tumour volume are predictive of improved PFS in NPC patients. • The combination of CE-T1WI-based uniformity with tumour volume and the overall stage has a better predictive ability for PFS than the tumour volume or the overall stage alone. • Pretreatment MRI texture analysis has a prognostic value for NPC patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00330-018-5961-6) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2019-01-07 2019 /pmc/articles/PMC6610272/ /pubmed/30617473 http://dx.doi.org/10.1007/s00330-018-5961-6 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Head and Neck
Mao, Jiaji
Fang, Jin
Duan, Xiaohui
Yang, Zehong
Cao, Minghui
Zhang, Fang
Lu, Liejing
Zhang, Xiang
Wu, Xiaoyan
Ding, Yue
Shen, Jun
Predictive value of pretreatment MRI texture analysis in patients with primary nasopharyngeal carcinoma
title Predictive value of pretreatment MRI texture analysis in patients with primary nasopharyngeal carcinoma
title_full Predictive value of pretreatment MRI texture analysis in patients with primary nasopharyngeal carcinoma
title_fullStr Predictive value of pretreatment MRI texture analysis in patients with primary nasopharyngeal carcinoma
title_full_unstemmed Predictive value of pretreatment MRI texture analysis in patients with primary nasopharyngeal carcinoma
title_short Predictive value of pretreatment MRI texture analysis in patients with primary nasopharyngeal carcinoma
title_sort predictive value of pretreatment mri texture analysis in patients with primary nasopharyngeal carcinoma
topic Head and Neck
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610272/
https://www.ncbi.nlm.nih.gov/pubmed/30617473
http://dx.doi.org/10.1007/s00330-018-5961-6
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