T2-Weighted Imaging and Apparent Diffusion Coefficient Histogram Parameters Predict Meningioma Consistency

Author:

Han TaoORCID,Liu Xianwang,Sun Jiachen,Long Changyou,Jiang Jian,Zhou Fengyu,Zhao Zhiyong,Zhang Bin,Jing Mengyuan,Deng Liangna,Zhang Yuting,Zhou JunlinORCID

Funder

Lanzhou University Second Hospital

National Natural Science Foundation of China

Natural Science Foundation of Gansu Province

Science and Technology Department of Gansu Province

China International Medical Foundation

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference35 articles.

1. Accuracy of radiomics-based feature analysis on multiparametric magnetic resonance images for noninvasive meningioma grading;Laukamp;World Neurosurg,2019

2. CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2014-2018;Ostrom;Neuro Oncol,2021

3. How to predict the consistency and vascularity of meningiomas by MRI: an institutional experience;Winter;Neurol Res,2021

4. Assessing preoperative risk of STR in skull meningiomas using MR radiomics and machine learning;Musigmann;Sci Rep,2022

5. Usefulness of the apparent diffusion coefficient (ADC) for predicting the consistency of intracranial meningiomas;Yogi;Clin imaging,2014

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