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Prognostic value of magnetic resonance imaging features in low-grade gliomas

Introduction: The treatment strategy for low-grade gliomas (LGGs) is still controversial, and there are no standardized criteria to predict the prognosis of patients with LGGs. Magnetic resonance imaging (MRI) is a routine test for preoperative diagnosis for LGG and can reflect the destructive featu...

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Autores principales: Deng, Liang, Shen, Liangfang, Shen, Lin, Zhao, Zhao, Peng, Yingpeng, Liu, Hongjiao, Liu, Haipeng, Zhang, Guangying, Li, Zhanzhan, Li, Kai, Shen, Erdong, Liu, Yuanyuan, Liu, Chao, Huang, Xinqiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549082/
https://www.ncbi.nlm.nih.gov/pubmed/31092699
http://dx.doi.org/10.1042/BSR20190544
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author Deng, Liang
Shen, Liangfang
Shen, Lin
Zhao, Zhao
Peng, Yingpeng
Liu, Hongjiao
Liu, Haipeng
Zhang, Guangying
Li, Zhanzhan
Li, Kai
Shen, Erdong
Liu, Yuanyuan
Liu, Chao
Huang, Xinqiong
author_facet Deng, Liang
Shen, Liangfang
Shen, Lin
Zhao, Zhao
Peng, Yingpeng
Liu, Hongjiao
Liu, Haipeng
Zhang, Guangying
Li, Zhanzhan
Li, Kai
Shen, Erdong
Liu, Yuanyuan
Liu, Chao
Huang, Xinqiong
author_sort Deng, Liang
collection PubMed
description Introduction: The treatment strategy for low-grade gliomas (LGGs) is still controversial, and there are no standardized criteria to predict the prognosis of patients with LGGs. Magnetic resonance imaging (MRI) is a routine test for preoperative diagnosis for LGG and can reflect the destructive features for the tumor. In the present study, we aimed to explore the relationship between the MRI features and prognosis in patients with LGG. Methods: Clinical data of 80 patients with pathologically proved LGGs between January 2010 and December 2016 were analyzed retrospectively. MRI features were classified as contrast enhancement pattern (focal enhancement, diffuse enhancement and ring-like enhancement), necrosis and cysts based on the preoperative MR images. Kaplan–Meier method and multivariate analysis were performed on the data by SPSS software to explore the prognostic significance of MRI features. Results: Patients with cystic LGG had a significantly longer 5-year progression-free survival (PFS) than that with no cyst (90.9 ± 8.7 vs 65.7 ± 9.1%, P=0.045). Multivariate analysis further verified cyst as an independent prognosis factor for PFS (P=0.027, hazard ratio [HR] = 0.084). Additionally, patients with ring-like enhancement exhibited significantly longer 5-year PFS time in the Kaplan–Meier survival curves (100 vs 67.2 ± 7.7%, P=0.049). There was no significant difference in PFS and overall survival (OS) between patients with or without necrosis. Conclusion: Our study suggests that cyst formation and ring-like enhancement on preoperative MR images can be useful to predict a favorable prognosis in patients with LGGs.
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spelling pubmed-65490822019-06-18 Prognostic value of magnetic resonance imaging features in low-grade gliomas Deng, Liang Shen, Liangfang Shen, Lin Zhao, Zhao Peng, Yingpeng Liu, Hongjiao Liu, Haipeng Zhang, Guangying Li, Zhanzhan Li, Kai Shen, Erdong Liu, Yuanyuan Liu, Chao Huang, Xinqiong Biosci Rep Research Articles Introduction: The treatment strategy for low-grade gliomas (LGGs) is still controversial, and there are no standardized criteria to predict the prognosis of patients with LGGs. Magnetic resonance imaging (MRI) is a routine test for preoperative diagnosis for LGG and can reflect the destructive features for the tumor. In the present study, we aimed to explore the relationship between the MRI features and prognosis in patients with LGG. Methods: Clinical data of 80 patients with pathologically proved LGGs between January 2010 and December 2016 were analyzed retrospectively. MRI features were classified as contrast enhancement pattern (focal enhancement, diffuse enhancement and ring-like enhancement), necrosis and cysts based on the preoperative MR images. Kaplan–Meier method and multivariate analysis were performed on the data by SPSS software to explore the prognostic significance of MRI features. Results: Patients with cystic LGG had a significantly longer 5-year progression-free survival (PFS) than that with no cyst (90.9 ± 8.7 vs 65.7 ± 9.1%, P=0.045). Multivariate analysis further verified cyst as an independent prognosis factor for PFS (P=0.027, hazard ratio [HR] = 0.084). Additionally, patients with ring-like enhancement exhibited significantly longer 5-year PFS time in the Kaplan–Meier survival curves (100 vs 67.2 ± 7.7%, P=0.049). There was no significant difference in PFS and overall survival (OS) between patients with or without necrosis. Conclusion: Our study suggests that cyst formation and ring-like enhancement on preoperative MR images can be useful to predict a favorable prognosis in patients with LGGs. Portland Press Ltd. 2019-06-04 /pmc/articles/PMC6549082/ /pubmed/31092699 http://dx.doi.org/10.1042/BSR20190544 Text en © 2019 The Author(s). http://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Articles
Deng, Liang
Shen, Liangfang
Shen, Lin
Zhao, Zhao
Peng, Yingpeng
Liu, Hongjiao
Liu, Haipeng
Zhang, Guangying
Li, Zhanzhan
Li, Kai
Shen, Erdong
Liu, Yuanyuan
Liu, Chao
Huang, Xinqiong
Prognostic value of magnetic resonance imaging features in low-grade gliomas
title Prognostic value of magnetic resonance imaging features in low-grade gliomas
title_full Prognostic value of magnetic resonance imaging features in low-grade gliomas
title_fullStr Prognostic value of magnetic resonance imaging features in low-grade gliomas
title_full_unstemmed Prognostic value of magnetic resonance imaging features in low-grade gliomas
title_short Prognostic value of magnetic resonance imaging features in low-grade gliomas
title_sort prognostic value of magnetic resonance imaging features in low-grade gliomas
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549082/
https://www.ncbi.nlm.nih.gov/pubmed/31092699
http://dx.doi.org/10.1042/BSR20190544
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