Preoperative vascular heterogeneity and aggressiveness assessment of pituitary macroadenoma based on dynamic contrast-enhanced MRI texture analysis.

Autor: Liu YQ; Department of Radiology, First Affiliated Hospital of Dalian Medical University, 222 Zhongshan Road, Xigang, Dalian, 116000, China. Electronic address: liuyangyq1993@163.com., Gao BB; Department of Radiology, First Affiliated Hospital of Dalian Medical University, 222 Zhongshan Road, Xigang, Dalian, 116000, China. Electronic address: sophie_gao1222@hotmail.com., Dong B; Department of Neurosurgery, First Affiliated Hospital of Dalian Medical University, 222 Zhongshan Road, Xigang, Dalian, 116000, China. Electronic address: stocktondb@163.com., Padikkalakandy Cheriyath SS; Department of Radiology, First Affiliated Hospital of Dalian Medical University, 222 Zhongshan Road, Xigang, Dalian, 116000, China. Electronic address: shesniasalim@hotmail.com., Song QW; Department of Radiology, First Affiliated Hospital of Dalian Medical University, 222 Zhongshan Road, Xigang, Dalian, 116000, China. Electronic address: songqw1964@163.com., Xu B; Department of Radiology, First Affiliated Hospital of Dalian Medical University, 222 Zhongshan Road, Xigang, Dalian, 116000, China. Electronic address: feelingsmoon@hotmail.com., Wei Q; Department of Radiology, First Affiliated Hospital of Dalian Medical University, 222 Zhongshan Road, Xigang, Dalian, 116000, China. Electronic address: weiqiang72@163.com., Xie LZ; GE Healthcare, MR Research China, Beijing, 100176, China. Electronic address: lizhixie@ge.com., Guo Y; GE Healthcare, Life Science China, Shenyang, 110000, China. Electronic address: guoyan0112@126.com., Miao YW; Department of Radiology, First Affiliated Hospital of Dalian Medical University, 222 Zhongshan Road, Xigang, Dalian, 116000, China. Electronic address: ywmiao716@163.com.
Jazyk: angličtina
Zdroj: European journal of radiology [Eur J Radiol] 2020 Aug; Vol. 129, pp. 109125. Date of Electronic Publication: 2020 Jun 13.
DOI: 10.1016/j.ejrad.2020.109125
Abstrakt: Purpose: To assess the vascular heterogeneity and aggressiveness of pituitary macroadenomas (PM) using texture analysis based on Dynamic Contrast-Enhanced MRI (DCE-MRI).
Method: Fifty patients with pathologically confirmed PM, including 32 patients with aggressive PM (aggressive group) and 18 patients with non-aggressive PM (non-aggressive group), were included in this study. The preoperative DCE-MRI and clinical data were collected from all patients. The features based on Ktrans, Ve, and Kep were generated using Omni-Kinetics software. Independent-samples t-test and Mann-Whitney U test were used for comparison between two groups. Logistic regression analysis was used to determine the optimal model for distinguishing aggressive and non-aggressive PM.
Results: Six features related to tumor morphology, 24 features in Ktrans, 20 features in Ve, and 3 features in Kep were significantly different between the aggressive and non-aggressive groups. Volume count, gray-level non-uniformity in Ktrans, voxel value sum in Ve and run-length non-uniformity in Kep (AUC = 0.816, 0.903, 0.785, 0.813) were considered the best feature for tumor diagnosis. After modeling, the diagnosis efficiency of mean model and total model was desirable (AUC = 0.859 and 0.957), and the diagnostic efficiency of morphological, Ktrans, Ve and Kep features model was improved (AUC = 0.845, 0.951, 0.847, 0.804).
Conclusions: Texture analysis based on DCE-MRI elucidates the vascular heterogeneity and aggressiveness of pituitary adenoma. The total model could be used as a new noninvasive method for predicting the aggressiveness of pituitary macroadenoma.
Competing Interests: Declaration of Competing Interest None declared
(Copyright © 2020 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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