Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, People's Republic of China; Second Clinical School, Lanzhou University, Lanzhou, People's Republic of China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, People's Republic of China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, People's Republic of China.
Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, People's Republic of China; Second Clinical School, Lanzhou University, Lanzhou, People's Republic of China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, People's Republic of China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, People's Republic of China.
Clin Neurol Neurosurg. 2022 Sep;220:107364. doi: 10.1016/j.clineuro.2022.107364. Epub 2022 Jul 12.
To explore the value of apparent diffusion coefficient (ADC) histogram analysis in preoperative evaluating intracranial solitary fibrous tumor (SFT) and further investigate the relationship between ADC histogram parameters and the Ki-67 proliferation index.
From January 2014 to March 2022, 37 patients with intracranial SFT (grade 2, n = 20; grade 3, n = 17) who underwent preoperative diffusion-weighted imaging were enrolled in this study. For each tumor, nine histogram parameters were automatically extracted and selected using MaZda software based on the axial ADC maps of the whole tumor, including mean, variance, skewness, kurtosis, as well as the 1st, 10th, 50th, 90th, and 99th percentile ADC (Perc.01, Perc.10, Perc.50, Perc.90, Perc.99). Differences in ADC histogram parameters between grade 2 and 3 intracranial SFT were compared. Receiver operating characteristic (ROC) curves were drawn to determine the diagnostic performance, and Pearson's correlation coefficient was used to investigate the relationship between these parameters and the Ki-67 proliferation index.
The mean, Perc.01, Perc.10, Perc.50, Perc.90, and Perc.99 were significantly lower in grade 3 than in grade 2 intracranial SFT (all P < 0.05). ROC analysis showed that these parameters can effectively distinguish between the two groups, with Perc.01 generating the best differentiation performance. Significant negative correlations were also observed between these parameters and the Ki-67 proliferation index (r = -0.436 ~ -0.522, all P < 0.05). However, there was no significant difference in variance, skewness, or kurtosis between the two groups (all P > 0.05).
ADC histogram analysis enables effective preoperative distinction of grade 2 and grade 3 intracranial SFT.
探讨表观扩散系数（ADC）直方图分析在术前评估颅内孤立性纤维瘤（SFT）中的价值，并进一步研究 ADC 直方图参数与 Ki-67 增殖指数之间的关系。
本研究纳入了 2014 年 1 月至 2022 年 3 月期间 37 例经术前磁共振弥散加权成像（DWI）检查的颅内 SFT 患者（2 级，n=20；3 级，n=17）。利用 MaZda 软件对所有肿瘤的轴位 ADC 图进行分析，自动提取并选择 9 个直方图参数，包括平均值、方差、偏度、峰度，以及 ADC 的第 1、10、50、90 和 99 百分位数（Perc.01、Perc.10、Perc.50、Perc.90 和 Perc.99）。比较了 2 级和 3 级颅内 SFT 之间 ADC 直方图参数的差异。绘制受试者工作特征（ROC）曲线以确定诊断性能，并采用 Pearson 相关系数分析这些参数与 Ki-67 增殖指数之间的关系。
3 级颅内 SFT 的平均 ADC 值、Perc.01、Perc.10、Perc.50、Perc.90 和 Perc.99 明显低于 2 级（均 P < 0.05）。ROC 分析显示，这些参数可有效区分两组，其中 Perc.01 具有最佳的区分性能。这些参数与 Ki-67 增殖指数之间也存在显著的负相关关系（r=-0.436~-0.522，均 P < 0.05）。但是，两组间方差、偏度和峰度均无显著差异（均 P > 0.05）。
ADC 直方图分析可有效术前区分 2 级和 3 级颅内 SFT。
