Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea.
Department of Statistics and Data Science, Yonsei University, Seoul, Korea.
Neuroradiology. 2024 Sep;66(9):1527-1535. doi: 10.1007/s00234-024-03430-y. Epub 2024 Jul 17.
To investigate whether qualitative and quantitative imaging phenotypes can predict the grade of oligodendroglioma.
Retrospective chart and imaging reviews were conducted on 180 adults with oligodendroglioma (IDH-mutant and 1p/19q codeleted) between 2005 and 2021. Qualitative imaging characteristics including tumor location, calcification, gliomatosis cerebri, cystic change, necrosis, and infiltrative pattern were analyzed. Quantitative imaging assessment was performed from the tumor mask via automatic segmentation to calculate total, contrast-enhancing (CE), non-enhancing (NE), and necrotic tumor volumes. Logistic analyses were conducted to determine predictors of oligodendroglioma grade.
This study included 180 patients (84 [46.7%] with grade 2 and 96 [53.3%] with grade 3 oligodendrogliomas), with a median age of 42 years (range 23-76 years), comprising 91 females and 89 males. On univariable analysis, calcification (odds ratio [OR] = 6.00, P < 0.001), necrosis (OR = 21.84, P = 0.003), presence of CE tumor (OR = 7.86, P < 0.001), larger total (OR = 1.01, P < 0.001), larger CE (OR = 2.22, P = 0.010), and larger NE (OR = 1.01, P < 0.001) tumor volumes were predictors of grade 3 oligodendroglioma. On multivariable analysis, calcification (OR = 3.79, P < 0.001) and larger CE tumor volume (OR = 2.70, P = 0.043) remained as independent predictors of grade 3 oligodendroglioma. The multivariable model exhibited an AUC, accuracy, sensitivity, specificity of 0.78 (95% confidence interval 0.72-0.84), 72.8%, 79.2%, 69.1%, respectively.
Presence of calcification and larger CE tumor volume may serve as useful imaging biomarkers for prediction of oligodendroglioma grade.
Assessment of intratumoral calcification and CE tumor volume may facilitate accurate preoperative estimation of oligodendroglioma grade. Presence of intratumoral calcification and larger contrast-enhancing tumor volume were the significant predictors of higher grade oligodendroglioma based on the 2021 WHO classification.
研究定性和定量成像表型是否可以预测少突胶质细胞瘤的分级。
对 2005 年至 2021 年间的 180 名 IDH 突变和 1p/19q 共缺失的成人少突胶质细胞瘤(oligodendroglioma)患者(180 名)进行回顾性图表和影像学回顾。分析了肿瘤位置、钙化、脑胶质病、囊性变、坏死和浸润模式等定性影像学特征。通过自动分割从肿瘤掩模进行定量成像评估,以计算总肿瘤、对比增强(CE)、非增强(NE)和坏死肿瘤体积。进行逻辑分析以确定少突胶质细胞瘤分级的预测因素。
本研究纳入了 180 例患者(84 例[46.7%]为 2 级,96 例[53.3%]为 3 级少突胶质细胞瘤),中位年龄为 42 岁(范围 23-76 岁),包括 91 例女性和 89 例男性。单变量分析显示,钙化(比值比[OR] = 6.00,P < 0.001)、坏死(OR = 21.84,P = 0.003)、CE 肿瘤存在(OR = 7.86,P < 0.001)、总肿瘤体积更大(OR = 1.01,P < 0.001)、CE 肿瘤体积更大(OR = 2.22,P = 0.010)和 NE 肿瘤体积更大(OR = 1.01,P < 0.001)是 3 级少突胶质细胞瘤的预测因素。多变量分析显示,钙化(OR = 3.79,P < 0.001)和更大的 CE 肿瘤体积(OR = 2.70,P = 0.043)仍然是 3 级少突胶质细胞瘤的独立预测因素。多变量模型的 AUC、准确性、敏感度和特异度分别为 0.78(95%置信区间 0.72-0.84)、72.8%、79.2%和 69.1%。
钙化的存在和更大的 CE 肿瘤体积可能是预测少突胶质细胞瘤分级的有用影像学标志物。
评估肿瘤内钙化和 CE 肿瘤体积可能有助于准确预测少突胶质细胞瘤的术前分级。根据 2021 年世卫组织分类,肿瘤内钙化和更大的增强肿瘤体积是高级别少突胶质细胞瘤的显著预测因子。