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• Clinical Article •
The value of magnetic resonance imaging in differentiating grade Ⅱ solitary fibrous tumor/hemangiopericytoma from angiomatous meningioma
FU Shengli  REN Yande  LI Xiangrong  MA Chi  ZHANG Hua  GE Yaqiong 

Cite this article as: Fu SL, Ren YD, Li XR, et al. The value of magnetic resonance imaging in differentiating grade Ⅱ solitary fibrous tumor/hemangiopericytoma from angiomatous meningioma[J]. Chin J Magn Reson Imaging, 2022, 13(1): 15-20. DOI:10.12015/issn.1674-8034.2022.01.004.


[Abstract] Objective To investigate the value of radiomics features with multi-parameter MRI images in differential diagnosis between intracranial grade Ⅱ solitary fibrous tumor/hemangiopericytoma (SFT/HPC) and angiomatous meningioma (AM).Materials and Methods: A total of 68 patients with grade Ⅱ SFT/HPC and 41 patients with AM confirmed by surgery or pathology were retrospectively analyzed from the First Affiliated Hospital of Qingdao University and Guangxi Medical University, all of the patients were performed T1WI, FLAIR and contrasted TIWI scan. The patients were randomly divided into training set (n=77) and validation set (n=32) in a ratio of 7∶3. After a normalization approach applied on the image, the region of interest (ROI) along the tumor edge step by step based on the axial image with 3D slicer software were sketched, then the radiomics features were extracted in the ROI with 3D slicer software. Minimum redundancy maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO) regression were applied to reduce the dimension, then the radiomics features with the most diagnostic value were selected to build a binary Logistic regression model. The receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of the model.Results 16, 13 and 12 radiomics features were extracted from T1WI, FLAIR and contrasted T1WI scan, respectively; additional 9 radiomics features were extracted from the combined sequence for modeling. The ROC analyses on four models resulted in an area under the curve (AUC) of 0.98 (sensitivity 100%, specificity 92.86%) for T1WI model, 0.92 (73.47%, 100%) for FLAIR model, 0.89 (79.59%, 85.19%) for contrasted T1WI model, and 0.99 (98.04%, 96.15%) for the combined sequence model and were enough to correctly distinguish the two groups in 87.50%、75.00%、68.75% and 90.63% of cases in test set, respectively.Conclusions The differentiation efficiency of multi-parameter MRI images radiomics features between intracranial grade Ⅱ SFT/HPC and AM was better than single sequence. T1WI was the highest diagnosis efficacy sequence among single sequence.
[Keywords] magnetic resonance imaging；hemangiopericytoma；angiomatous meningioma；radiomics；differentiation performance

FU Shengli1   REN Yande1*   LI Xiangrong2   MA Chi1   ZHANG Hua1   GE Yaqiong3  

1 Department of Radiology, the Affiliated Hospital of Qingdao University, Qingdao 266555, China

2 Department of Radiology, the Frist Affiliated Hospital of Guangxi Medical University, Nanning 530000, China

3 GE HealthCare China (Shanghai), Shanghai 210000, China

Ren YD, E-mail: 8198458@163.com

Conflicts of interest   None.

致谢：我们真诚地感谢于澜（青岛大学附属医院放射科）、白洁（郑州大学第一附属医院磁共振科）对本研究做出的贡献，于澜、白洁采集了部分数据，并对实验设计提出建设性意见。
Received  2021-08-22
Accepted  2021-12-29
DOI: 10.12015/issn.1674-8034.2022.01.004
Cite this article as: Fu SL, Ren YD, Li XR, et al. The value of magnetic resonance imaging in differentiating grade Ⅱ solitary fibrous tumor/hemangiopericytoma from angiomatous meningioma[J]. Chin J Magn Reson Imaging, 2022, 13(1): 15-20. DOI:10.12015/issn.1674-8034.2022.01.004.

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