Imaging Role in Diagnosis, Prognosis, and Treatment Response Prediction Associated with High-grade Glioma.

IF 1.1 Q4 ENGINEERING, BIOMEDICAL

Journal of Medical Signals & Sensors Pub Date : 2024-03-27 eCollection Date: 2024-01-01 DOI:10.4103/jmss.jmss_30_22

Maryam Heidari, Parvaneh Shokrani

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引用次数: 0

Abstract

Background: Glioma is one of the most drug and radiation-resistant tumors. Gliomas suffer from inter- and intratumor heterogeneity which makes the outcome of similar treatment protocols vary from patient to patient. This article is aimed to overview the potential imaging markers for individual diagnosis, prognosis, and treatment response prediction in malignant glioma. Furthermore, the correlation between imaging findings and biological and clinical information of glioma patients is reviewed.

Materials and methods: The search strategy in this study is to select related studies from scientific websites such as PubMed, Scopus, Google Scholar, and Web of Science published until 2022. It comprised a combination of keywords such as Biomarkers, Diagnosis, Prognosis, Imaging techniques, and malignant glioma, according to Medical Subject Headings.

Results: Some imaging parameters that are effective in glioma management include: ADC, FA, K^trans, regional cerebral blood volume (rCBV), cerebral blood flow (CBF), v_e, Cho/NAA and lactate/lipid ratios, intratumoral uptake of ¹⁸F-FET (for diagnostic application), RD, ADC, v_e, v_p, K^trans, CBF_T1, rCBV, tumor blood flow, Cho/NAA, lactate/lipid, MI/Cho, uptakes of ¹⁸F-FET, ¹¹C-MET, and ¹⁸F-FLT (for prognostic and predictive application). Cerebral blood volume and K^trans are related to molecular markers such as vascular endothelial growth factor (VEGF). Preoperative ADC_min value of GBM tumors is associated with O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status. 2-hydroxyglutarate metabolite and dynamic ¹⁸F-FDOPA positron emission tomography uptake are related to isocitrate dehydrogenase (IDH) mutations.

Conclusion: Parameters including ADC, RD, FA, rCBV, K^trans, v_p, and uptake of ¹⁸F-FET are useful for diagnosis, prognosis, and treatment response prediction in glioma. A significant correlation between molecular markers such as VEGF, MGMT, and IDH mutations with some diffusion and perfusion imaging parameters has been identified.

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成像在与高级别胶质瘤相关的诊断、预后和治疗反应预测中的作用。

背景：胶质瘤是最难耐受药物和辐射的肿瘤之一。胶质瘤具有瘤间和瘤内异质性，这使得类似的治疗方案对不同患者的疗效各不相同。本文旨在概述用于恶性胶质瘤个体诊断、预后和治疗反应预测的潜在影像学标志物。此外，本文还综述了胶质瘤患者的成像结果与生物和临床信息之间的相关性：本研究的检索策略是从 PubMed、Scopus、Google Scholar 和 Web of Science 等科学网站上选择 2022 年之前发表的相关研究。根据医学主题词表，它包括生物标志物、诊断、预后、成像技术和恶性胶质瘤等关键词的组合：对胶质瘤治疗有效的一些成像参数包括ADC、FA、Ktrans、区域脑血容量（rCBV）、脑血流量（CBF）、ve、Cho/NAA 和乳酸/脂比率、18F-FET 的瘤内摄取（用于诊断）、RD、ADC、ve、vp、Ktrans、CBFT1、rCBV、肿瘤血流、Cho/NAA、乳酸/脂质、MI/Cho、18F-FET、11C-MET 和 18F-FLT 摄取量（用于预后和预测）。脑血容量和 Ktrans 与血管内皮生长因子（VEGF）等分子标记物有关。GBM 肿瘤术前 ADCmin 值与 O6-甲基鸟嘌呤-DNA 甲基转移酶（MGMT）启动子甲基化状态有关。2-羟基戊二酸代谢物和动态18F-FDOPA正电子发射断层扫描摄取量与异柠檬酸脱氢酶（IDH）突变有关：包括ADC、RD、FA、rCBV、Ktrans、vp和18F-FET摄取量在内的参数有助于胶质瘤的诊断、预后和治疗反应预测。VEGF、MGMT和IDH突变等分子标记物与一些弥散和灌注成像参数之间存在明显的相关性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Medical Signals & Sensors ENGINEERING, BIOMEDICAL-

CiteScore

2.30

自引率

0.00%

发文量

审稿时长

33 weeks

期刊介绍： JMSS is an interdisciplinary journal that incorporates all aspects of the biomedical engineering including bioelectrics, bioinformatics, medical physics, health technology assessment, etc. Subject areas covered by the journal include: - Bioelectric: Bioinstruments Biosensors Modeling Biomedical signal processing Medical image analysis and processing Medical imaging devices Control of biological systems Neuromuscular systems Cognitive sciences Telemedicine Robotic Medical ultrasonography Bioelectromagnetics Electrophysiology Cell tracking - Bioinformatics and medical informatics: Analysis of biological data Data mining Stochastic modeling Computational genomics Artificial intelligence & fuzzy Applications Medical softwares Bioalgorithms Electronic health - Biophysics and medical physics: Computed tomography Radiation therapy Laser therapy - Education in biomedical engineering - Health technology assessment - Standard in biomedical engineering.