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

• Published in: Cancer imaging 2023-12, Vol.23 (1), p.117-117, Article 117
• Main Authors: Zheng, Lingmin, Jiang, Peirong, Lin, Danjie, Chen, Xiaodan, Zhong, Tianjin, Zhang, Rufei, Chen, Jing, Song, Yang, Xue, Yunjing, Lin, Lin
• Format: Article
• Language: English
• Subjects: Area Under Curve; Bi-exponential model; Biomarkers; Calcification; Consistency; Diffusion Magnetic Resonance Imaging - methods; Diffusion MRI; Histograms; Humans; Kurtosis; Magnetic resonance imaging; Meningeal Neoplasms - diagnostic imaging; Meningeal Neoplasms - pathology; Meningioma; Meningioma - diagnostic imaging; Meningioma - pathology; Open source software; Parameters; Prognosis; Radiation therapy; Retrospective Studies; ROC Curve; Stretched-exponential model; Surgery; Tumors; Tumour consistency; Work stations
• ISSN: 1470-7330; 1740-5025; 1470-7330
• DOI: 10.1186/s40644-023-00633-z

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. 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. 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