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Clinical Article
The value of predicting the PR expression status of meningiomas based on MRI features
LI Zhengxiao  XUE Caiqiang  LI Shenglin  SUN Jiachen  LIU Suwei  REN Tiezhu  ZHOU Junlin 

Cite this article as: Li ZX, Xue CQ, Li SL, et al. The value of predicting the PR expression status of meningiomas based on MRI features[J]. Chin J Magn Reson Imaging, 2022, 13(7): 1-5. DOI:10.12015/issn.1674-8034.2022.07.001.


[Abstract] Objective To explore whether preoperative MRI features can distinguish the expression status of progesterone receptor (PR) in meningiomas, and provide preoperative prediction basis for meningioma with positive PR expression.Materials and Methods The preoperative MRI data of 210 patients with meningioma who were confirmed by surgery and pathology and whose PR expression status was determined from June 2020 to December 2021 in our hospital were retrospectively analyzed. According to PR expression, they were divided into PR positive (+) group and PR negative (-) group. Univariate analysis was performed on the preoperative MRI images of the two groups of patients, and the independent predictors of PR positive expression in meningiomas were screened by logistic multivariate regression analysis. According to the parameters with statistically significant differences, the receiver operating characteristic (ROC) curve of the participants was drawn, and the area under the curve (AUC) was calculated to evaluate the effectiveness in predicting PR expression status.Results Among the 210 meningiomas, 79 were PR (+) and 131 were PR (-). Univariate analysis showed that between the two groups had statistical differences in the location of meningioma, cystic change and enhancement pattern (P<0.05). There was no statistical difference in gender, age, maximum tumor diameter, tumor-brain interface, peritumoral edema, dural tail sign, and ADC value (P>0.05); logistic multivariate regression analysis showed that tumor location, enhancement method were independent predictors of PR positive expression in meningiomas. ROC curve analysis showed that the AUC values of tumor location and enhancement method for predicting PR positive expression were 61.9% and 62.4%, respectively.Conclusions MRI features can predict the PR expression status of meningiomas before surgery; meningiomas located in the skull base and uniform enhancement of the tumor can indirectly express PR positive.
[Keywords] meningioma;progesterone receptor;progesterone receptor expression;magnetic resonance imaging;imaging features

LI Zhengxiao1, 2, 3, 4   XUE Caiqiang1, 2, 3, 4   LI Shenglin1, 2, 3, 4   SUN Jiachen1, 2, 3, 4   LIU Suwei1, 2, 3, 4   REN Tiezhu1, 2, 3, 4   ZHOU Junlin1, 2, 3, 4*  

1 Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China

2 Second Clinical School, Lanzhou University, Lanzhou 730030, China

3 Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China

4 Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China

Zhou JL, E-mail: LZUzjl601@163.com

Conflicts of interest   None.

Received  2022-03-09
Accepted  2022-07-05
DOI: 10.12015/issn.1674-8034.2022.07.001
Cite this article as: Li ZX, Xue CQ, Li SL, et al. The value of predicting the PR expression status of meningiomas based on MRI features[J]. Chin J Magn Reson Imaging, 2022, 13(7): 1-5.DOI:10.12015/issn.1674-8034.2022.07.001

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