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• Clinical Article •
Texture analysis of conventional MRI parameters for differentiating between hemangioma meningioma and hemangiopericytoma based on whole tumor measurement
DONG Jun-yi  MIAO Yan-wei  LIU Shuang  HAN Liang  LI Xiao-xin  LIUYANG Ying-qiu  SONG Qing-wei  WEI Yu-shan  LIU Ai-lian 

DOI:10.12015/issn.1674-8034.2018.04.004.


[Abstract] Objective: To comparatively analyze the differences of T1WI, T2WI and contrasted T1WI signal intensity histogram parameter in the differential diagnosis of intracranial hemangioma meningioma (HM) and hemanyiopericytoma (HPC) based on entire tumor, and further to evaluate the differential diagnosis value between them.Materials and Methods: The conventional MRI data of 8 patients with HM and 9 patients with HPC proven by pathology or clinical follow-up were retrospectively reviewed. All patients underwent T1WI, T2WI and contrasted T1WI scan. The texture features of lesions based on axial T1WI, T2WI and contrasted T1WI were extracted by post-processed 3D ROI with Omni-Kinetics software. The texture parameters were compared using two independent samples t test and Mann-Whitney U test between groups. Receiver operating characteristic curve (ROC) was constructed to assess the differential ability of the significant parameters between HM and HPC.Results: Min intensity, mean value, mean deviation, skewness, median intensity, RMS, uniformity, the 5th, 10th, 25th, 75th and 90th percentiles of contrasted T1WI have significant differences between HM and HPC (P<0.05). Uniformity, skewness, the 5th, 10th, 25th, cluster shade and cluster prominence of T2WI have significant differences between the two (P<0.05). According to ROC analysis, the uniformity of T2WI was the best parameters (cutoff value=0.79, AUC=1.0) for distinguishing HM and HPC of 0.79 with sensitivity of 88.9% and specificity of 100%.Conclusions: Texture analysis of T2WI and contrasted T1WI based on entire tumor should be helpful in differentiation of HM and HPC.
[Keywords] Hemanyiopericytoma；Meningioma；Solitary fibrous tumors；Magnetic resonance imaging；Texture analysis

DONG Jun-yi Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China

MIAO Yan-wei* Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China

LIU Shuang Dalian Center for Disease Control and Prevention, Dalian 116011, China

HAN Liang Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China

LI Xiao-xin Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China

LIUYANG Ying-qiu Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China

SONG Qing-wei Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China

WEI Yu-shan Department of Subject Construction and Scientific Research, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China

LIU Ai-lian Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China

*Corresponding to: Miao YW, E-mail: ywmiao716@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of National Natural Science Foundation of China No. 81671646
Received  2018-01-03
Accepted  2018-03-13
DOI: 10.12015/issn.1674-8034.2018.04.004
DOI:10.12015/issn.1674-8034.2018.04.004.

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