Journal Article

Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas

Zheng, Lingmin, Lin, Danjie, Chen, Xiaodan, Xue, Yunjing, Lin, Lin, Jiang, Peirong, Zhong, Tianjin, Song, Yang, Zhang, Rufei, Chen, Jing

2023

Overview

Background The consistency of meningiomas is critical to determine surgical planning and has a significant impact on surgical outcomes. Our aim was to compare mono-exponential, bi-exponential and stretched exponential MR diffusion-weighted imaging in predicting the consistency of meningiomas before surgery. Methods Forty-seven consecutive patients with pathologically confirmed meningiomas were prospectively enrolled in this study. Two senior neurosurgeons independently evaluated tumour consistency and classified them into soft and hard groups. A volume of interest was placed on the preoperative MR diffusion images to outline the whole tumour area. Histogram parameters (mean, median, 10th percentile, 90th percentile, kurtosis, skewness) were extracted from 6 different diffusion maps including ADC (DWI), D*, D, f (IVIM), alpha and DDC (SEM). Comparisons between two groups were made using Student’s t-Test or Mann-Whitney U test. Parameters with significant differences between the two groups were included for Receiver operating characteristic analysis. The DeLong test was used to compare AUCs. Results DDC, D* and ADC 10th percentile were significantly lower in hard tumours than in soft tumours (P ≤ 0.05). The alpha 90th percentile was significantly higher in hard tumours than in soft tumours (P < 0.02). For all histogram parameters, the alpha 90th percentile yielded the highest AUC of 0.88, with an accuracy of 85.10%. The D* 10th percentile had a relatively higher AUC value, followed by the DDC and ADC 10th percentile. The alpha 90th percentile had a significantly greater AUC value than the ADC 10th percentile (P ≤ 0.05). The D* 10th percentile had a significantly greater AUC value than the ADC 10th percentile and DDC 10th percentile (P ≤ 0.03). Conclusion Histogram parameters of Alpha and D* may serve as better imaging biomarkers to aid in predicting the consistency of meningioma.

• Publisher: BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
• Subject: Area Under Curve / Bi-exponential model / Biomarkers / Brain cancer / Calcification / Cancer Research / Consistency / Diffusion Magnetic Resonance Imaging - methods / Diffusion MRI / Histograms / Humans / Imaging / Kurtosis / Magnetic resonance imaging / Medicine / Medicine & Public Health / Meningeal Neoplasms - diagnostic imaging / Meningeal Neoplasms - pathology / Meningioma / Meningioma - diagnostic imaging / Meningioma - pathology / Nuclear Medicine / Oncology / Open source software / Parameters / Prognosis / Radiation therapy / Radiology / Research Article / Retrospective Studies / ROC Curve / Stretched-exponential model / Surgery / Tumors / Tumour consistency / Work stations