Academic Journal
Noninvasive Determination of the IDH Status of Gliomas Using MRI and MRI-Based Radiomics: Impact on Diagnosis and Prognosis
| Title: | Noninvasive Determination of the IDH Status of Gliomas Using MRI and MRI-Based Radiomics: Impact on Diagnosis and Prognosis |
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| Authors: | Yurong Li, Qin Qin, Yumeng Zhang, Yuandong Cao |
| Source: | Current Oncology, Vol 29, Iss 10, Pp 6893-6907 (2022) |
| Publisher Information: | MDPI AG, 2022. |
| Publication Year: | 2022 |
| Collection: | LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
| Subject Terms: | glioma, IDH1 mutation, magnetic resonance imaging, radiomics, prognosis, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
| More Details: | Gliomas are the most common primary malignant brain tumors in adults. The fifth edition of the WHO Classification of Tumors of the Central Nervous System, published in 2021, provided molecular and practical approaches to CNS tumor taxonomy. Currently, molecular features are essential for differentiating the histological subtypes of gliomas, and recent studies have emphasized the importance of isocitrate dehydrogenase (IDH) mutations in stratifying biologically distinct subgroups of gliomas. IDH plays a significant role in gliomagenesis, and the association of IDH status with prognosis is very clear. Recently, there has been much progress in conventional MR imaging (cMRI), advanced MR imaging (aMRI), and radiomics, which are widely used in the study of gliomas. These advances have resulted in an improved correlation between MR signs and IDH mutation status, which will complement the prediction of the IDH phenotype. Although imaging cannot currently substitute for genetic tests, imaging findings have shown promising signs of diagnosing glioma subtypes and evaluating the efficacy and prognosis of individualized molecular targeted therapy. This review focuses on the correlation between MRI and MRI-based radiomics and IDH gene-phenotype prediction, discussing the value and application of these techniques in the diagnosis and evaluation of the prognosis of gliomas. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 29100542 1718-7729 1198-0052 |
| Relation: | https://www.mdpi.com/1718-7729/29/10/542; https://doaj.org/toc/1198-0052; https://doaj.org/toc/1718-7729 |
| DOI: | 10.3390/curroncol29100542 |
| Access URL: | https://doaj.org/article/e63a6f19c4df4cf9b921fa34837c672b |
| Accession Number: | edsdoj.63a6f19c4df4cf9b921fa34837c672b |
| Database: | Directory of Open Access Journals |
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| ISSN: | 29100542 17187729 11980052 |
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| DOI: | 10.3390/curroncol29100542 |
| Published in: | Current Oncology |
| Language: | English |