Cargando…
Prediction of IDH Status Through MRI Features and Enlightened Reflection on the Delineation of Target Volume in Low-Grade Gliomas
Isocitrate dehydrogenase mutational status defines distinct biologic behavior and clinical outcomes in low-grade gliomas. We sought to determine magnetic resonance imaging characteristics associated with isocitrate dehydrogenase mutational status to evaluate the predictive roles of magnetic resonanc...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767744/ https://www.ncbi.nlm.nih.gov/pubmed/31564237 http://dx.doi.org/10.1177/1533033819877167 |
_version_ | 1783454985829220352 |
---|---|
author | Ding, Haixia Huang, Yong Li, Zhiqiang Li, Sirui Chen, Qiongrong Xie, Conghua Zhong, Yahua |
author_facet | Ding, Haixia Huang, Yong Li, Zhiqiang Li, Sirui Chen, Qiongrong Xie, Conghua Zhong, Yahua |
author_sort | Ding, Haixia |
collection | PubMed |
description | Isocitrate dehydrogenase mutational status defines distinct biologic behavior and clinical outcomes in low-grade gliomas. We sought to determine magnetic resonance imaging characteristics associated with isocitrate dehydrogenase mutational status to evaluate the predictive roles of magnetic resonance imaging features in isocitrate dehydrogenase mutational status and therefore their potential impact on the determination of clinical target volume in radiotherapy. Forty-eight isocitrate dehydrogenase-mutant and 28 isocitrate dehydrogenase–wild-type low-grade gliomas were studied. Isocitrate dehydrogenase mutation was related to more frequency of cortical involvement compared to isocitrate dehydrogenase–wild-type group (34/46 vs 6/24, P = .0001). Peritumoral edema was less frequent in isocitrate dehydrogenase–mutant tumors (32.6% vs 58.3% for isocitrate dehydrogenase–wild-type tumors, P = .0381). Isocitrate dehydrogenase–wild-type tumors were more likely to have a nondefinable border, while isocitrate dehydrogenase–mutant tumors had well-defined borders (66.7% vs 39.1%, P = .0287). Only 8 (17.4%) of 46 of the isocitrate dehydrogenase–mutant tumors demonstrated marked enhancement, while this was 66.7% in isocitrate–wild-type tumors (P < .0001). Choline–creatinine ratio for isocitrate dehydrogenase–wild-type tumors was significantly higher than that for isocitrate dehydrogenase–mutant tumors. In conclusion, frontal location, well-defined border, cortical involvement, less peritumoral edema, lack of enhancement, and low choline–creatinine ratio were predictive for the definition of isocitrate dehydrogenase–mutant low-grade gliomas. Magnetic resonance imaging can provide an advantage in the detection of isocitrate dehydrogenase status indirectly and indicate the need to explore new design for treatment planning in gliomas. Choline–creatinine ratio in magnetic resonance spectroscopy could be a potential more reasonable reference for the new design of delineation of target volume in low-grade gliomas. |
format | Online Article Text |
id | pubmed-6767744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-67677442019-10-18 Prediction of IDH Status Through MRI Features and Enlightened Reflection on the Delineation of Target Volume in Low-Grade Gliomas Ding, Haixia Huang, Yong Li, Zhiqiang Li, Sirui Chen, Qiongrong Xie, Conghua Zhong, Yahua Technol Cancer Res Treat Original Article Isocitrate dehydrogenase mutational status defines distinct biologic behavior and clinical outcomes in low-grade gliomas. We sought to determine magnetic resonance imaging characteristics associated with isocitrate dehydrogenase mutational status to evaluate the predictive roles of magnetic resonance imaging features in isocitrate dehydrogenase mutational status and therefore their potential impact on the determination of clinical target volume in radiotherapy. Forty-eight isocitrate dehydrogenase-mutant and 28 isocitrate dehydrogenase–wild-type low-grade gliomas were studied. Isocitrate dehydrogenase mutation was related to more frequency of cortical involvement compared to isocitrate dehydrogenase–wild-type group (34/46 vs 6/24, P = .0001). Peritumoral edema was less frequent in isocitrate dehydrogenase–mutant tumors (32.6% vs 58.3% for isocitrate dehydrogenase–wild-type tumors, P = .0381). Isocitrate dehydrogenase–wild-type tumors were more likely to have a nondefinable border, while isocitrate dehydrogenase–mutant tumors had well-defined borders (66.7% vs 39.1%, P = .0287). Only 8 (17.4%) of 46 of the isocitrate dehydrogenase–mutant tumors demonstrated marked enhancement, while this was 66.7% in isocitrate–wild-type tumors (P < .0001). Choline–creatinine ratio for isocitrate dehydrogenase–wild-type tumors was significantly higher than that for isocitrate dehydrogenase–mutant tumors. In conclusion, frontal location, well-defined border, cortical involvement, less peritumoral edema, lack of enhancement, and low choline–creatinine ratio were predictive for the definition of isocitrate dehydrogenase–mutant low-grade gliomas. Magnetic resonance imaging can provide an advantage in the detection of isocitrate dehydrogenase status indirectly and indicate the need to explore new design for treatment planning in gliomas. Choline–creatinine ratio in magnetic resonance spectroscopy could be a potential more reasonable reference for the new design of delineation of target volume in low-grade gliomas. SAGE Publications 2019-09-29 /pmc/articles/PMC6767744/ /pubmed/31564237 http://dx.doi.org/10.1177/1533033819877167 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Article Ding, Haixia Huang, Yong Li, Zhiqiang Li, Sirui Chen, Qiongrong Xie, Conghua Zhong, Yahua Prediction of IDH Status Through MRI Features and Enlightened Reflection on the Delineation of Target Volume in Low-Grade Gliomas |
title | Prediction of IDH Status Through MRI Features and Enlightened Reflection on
the Delineation of Target Volume in Low-Grade Gliomas |
title_full | Prediction of IDH Status Through MRI Features and Enlightened Reflection on
the Delineation of Target Volume in Low-Grade Gliomas |
title_fullStr | Prediction of IDH Status Through MRI Features and Enlightened Reflection on
the Delineation of Target Volume in Low-Grade Gliomas |
title_full_unstemmed | Prediction of IDH Status Through MRI Features and Enlightened Reflection on
the Delineation of Target Volume in Low-Grade Gliomas |
title_short | Prediction of IDH Status Through MRI Features and Enlightened Reflection on
the Delineation of Target Volume in Low-Grade Gliomas |
title_sort | prediction of idh status through mri features and enlightened reflection on
the delineation of target volume in low-grade gliomas |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767744/ https://www.ncbi.nlm.nih.gov/pubmed/31564237 http://dx.doi.org/10.1177/1533033819877167 |
work_keys_str_mv | AT dinghaixia predictionofidhstatusthroughmrifeaturesandenlightenedreflectiononthedelineationoftargetvolumeinlowgradegliomas AT huangyong predictionofidhstatusthroughmrifeaturesandenlightenedreflectiononthedelineationoftargetvolumeinlowgradegliomas AT lizhiqiang predictionofidhstatusthroughmrifeaturesandenlightenedreflectiononthedelineationoftargetvolumeinlowgradegliomas AT lisirui predictionofidhstatusthroughmrifeaturesandenlightenedreflectiononthedelineationoftargetvolumeinlowgradegliomas AT chenqiongrong predictionofidhstatusthroughmrifeaturesandenlightenedreflectiononthedelineationoftargetvolumeinlowgradegliomas AT xieconghua predictionofidhstatusthroughmrifeaturesandenlightenedreflectiononthedelineationoftargetvolumeinlowgradegliomas AT zhongyahua predictionofidhstatusthroughmrifeaturesandenlightenedreflectiononthedelineationoftargetvolumeinlowgradegliomas |