Department of Radiology, Chinese PLA General Hospital, Beijing, China.
Department of Neurosurgery, Chinese PLA General Hospital, Beijing, China.
J Magn Reson Imaging. 2023 Sep;58(3):732-738. doi: 10.1002/jmri.28589. Epub 2023 Jan 3.
Glioma genotypes are of importance for clinical decision-making. This data can only be acquired through histopathological analysis based on resection or biopsy. Consequently, there is a need for alternative biomarkers that noninvasively provide reliable information for preoperatively identifying molecular characteristics.
To investigate apparent diffusion coefficient (ADC) as imaging biomarker for preoperatively identifying glioma genotypes based on the 2021 World Health Organization (WHO) classification of central nervous system (CNS) tumors.
Retrospective.
One hundred and fifty-nine patients (47.6 ± 14.4 years) diagnosed with WHO grade 2-4 glioma including 93 males and 66 females.
FIELD STRENGTH/SEQUENCE: A 3 T/spin echo echo planner imaging.
The ADC measurements were assessed by two neuroradiologists (both with 6 years of experience). Three different lowest portions inside the tumors without overlap were manually drawn on the ADC maps as regions of interest (ROIs). The mean ADC value of the three ROIs was defined as the minimum ADC value (ADC ). An ROI was placed in the contralateral normal appearing white matter (NAWM) to obtain the ADC value (ADC ). The ADC to ADC ratio (ADC ) was calculated. Genetics results were retrospectively recorded from pathologic and genetic test reports.
Two-sample independent t-tests, receiver operating characteristic curve analysis, and intraclass correlation coefficient analysis were used. Statistical significance was set at P < 0.05.
Isocitrate dehydrogenase (IDH)-mutated glioma showed higher ADC and ADC than IDH wild-type glioma. Among IDH-mutated glioma, higher ADC and ADC were found in 1p19q intact glioma than in 1p19q codeletion glioma. ADC parameters enabled differentiation of IDH mutation status with area under the curve (AUC) of 0.84 and 0.86.
ADC has potential discriminative value for IDH mutation and 1p19q codeletion status.
Stage 2.
神经胶质瘤的基因型对临床决策很重要。这些数据只能通过基于切除或活检的组织病理学分析获得。因此，需要替代的生物标志物，这些标志物可以无创地提供可靠的信息，以便在术前识别分子特征。
根据 2021 年世界卫生组织（WHO）中枢神经系统（CNS）肿瘤分类，研究表观扩散系数（ADC）作为术前识别神经胶质瘤基因型的影像学生物标志物。
回顾性。
159 名患者（47.6±14.4 岁）被诊断为 WHO 分级 2-4 级神经胶质瘤，包括 93 名男性和 66 名女性。
磁场强度/序列：3T/自旋回波回波平面成像。
两名神经放射科医生（均有 6 年经验）对 ADC 测量值进行评估。在 ADC 图上手动绘制三个无重叠的肿瘤内最低部分作为感兴趣区（ROI）。三个 ROI 的平均 ADC 值定义为最小 ADC 值（ADCmean）。在对侧正常表现的白质（NAWM）中放置一个 ROI，以获得 ADC 值（ADCcontralateral）。计算 ADC 与 ADC 的比值（ADCratio）。从病理和基因检测报告中回顾性记录遗传学结果。
采用两样本独立 t 检验、受试者工作特征曲线分析和组内相关系数分析。统计学意义设为 P<0.05。
异柠檬酸脱氢酶（IDH）突变型神经胶质瘤的 ADC 和 ADCmean 值高于 IDH 野生型神经胶质瘤。在 IDH 突变型神经胶质瘤中，1p19q 完整缺失型神经胶质瘤的 ADC 和 ADCmean 值高于 1p19q 缺失型神经胶质瘤。ADC 参数能够区分 IDH 突变状态，曲线下面积（AUC）分别为 0.84 和 0.86。
ADC 对 IDH 突变和 1p19q 缺失状态具有潜在的鉴别价值。
3 级。
2 级。
