Abstract：Objective To investigate the diagnostic value of apparent diffusion coefficient (ADC) histogram in the pathological grade
of glioma. Methods Routine MRI and diffusion-weighted imaging (DWI) of 49 patients with glioma were retrospectively analyzed.
According to the WHO 2016 Central Nervous System Tumor Classification Standard, patients were divided into low grade group (I+II,
16 cases) and high grade group (III+IV, 33 cases). ADC histogram parameters of the two groups were measured, including maximum
value, minimum value, mean value, median value, skewness value and kurtosis value. Differences in ADC histogram
parameters between the two groups were compared using independent sample t test or Mann-Whitney U test. Results The minimum
value, mean value and median of ADC histogram in the low grade group were higher than that in the high grade group, and
the negative skewness distribution was dominant (P<0.05). There was no significant difference in the peaks between the two groups
(P>0.05). In ADC histogram, the minimum value had the highest diagnostic efficiency in identifying gliomas of different grades with
the Area Under Curve (AUC) 0.920, and the corresponding optimal diagnostic threshold, Youden, sensitivity and specificity were
0.8×10-3 s/mm2, 0.754, 87.88% and 87.50%, respectively. Conclusion The apparent diffusion coefficient histogram is helpful to
identify gliomas of different pathological grades, and the minimum value has the highe st diagnostic performance.
王鹏，张东友. 表观扩散系数直方图对脑胶质瘤病理分级的相关性研究[J]. 中国医疗设备, 2019, 34(8): 101-104.
WANG Peng, ZHANG Dongyou. Study on Correlation of Apparent Diffusion Coefficient Histogram and Glioma Pathological Grade. China Medical Devices, 2019, 34(8): 101-104.
