Differentiation of geniculate ganglion venous malformation from schwannoma: dynamic T1-weighted imaging provides unique diagnostic value

Objective To distinguish geniculate ganglion venous malformation (GGVM) from schwannoma (GGS) by using high-resolution CT (HRCT), routine MRI, and dynamic T1-weighted imaging (T1WI) characteristics. Methods Surgically confirmed GGVMs and GGSs between 2016 and 2021 were retrospectively included. Preo...

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Published in:European radiology 2023-11, Vol.33 (11), p.7934-7941
Main Authors: Jiang, Mengda, Chai, Yongchuan, Xue, Lu, Wang, Yaoxuan, Xia, Wenwen, Song, Yang, Yang, Gongxin, Yuan, Ying, Tao, Xiaofeng, Wu, Yingwei, Wu, Hao, Wang, Zhaoyan
Format: Article
Language:English
Subjects:
Adult
Arterioles
Capillaries
Cell Differentiation
Diagnostic Radiology
Diagnostic systems
Differentiation
Facial nerve
Geniculate Ganglion - diagnostic imaging
Geniculate Ganglion - pathology
Head and Neck
Homogeneity
Humans
Imaging
Internal Medicine
Interventional Radiology
Lesions
Magnetic Resonance Imaging - methods
Medical diagnosis
Medical imaging
Medicine
Medicine & Public Health
Neurilemmoma - diagnostic imaging
Neurilemmoma - pathology
Neuroradiology
Radiology
Regression models
Retrospective Studies
Risk factors
Schwann cells
Tumors
Ultrasound
Vascular Diseases
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Summary:Objective To distinguish geniculate ganglion venous malformation (GGVM) from schwannoma (GGS) by using high-resolution CT (HRCT), routine MRI, and dynamic T1-weighted imaging (T1WI) characteristics. Methods Surgically confirmed GGVMs and GGSs between 2016 and 2021 were retrospectively included. Preoperative HRCT, routine MR, and dynamic T1WI were performed on all patients. Clinical data, imaging characteristics including lesion size, involvement of facial nerve (FN), signal intensity, enhancement pattern on dynamic T1WI, and bone destruction on HRCT were evaluated. Logistic regression model was developed to identify independent factors for GGVMs, and the diagnostic performance was accessed by receiving operative curve (ROC) analysis. Histological characteristics were explored for both GGVMs and GGSs. Results Twenty GGVMs and 23 GGSs with mean age of 31 were included. On dynamic T1WI, 18 GGVMs (18/20) showed “pattern A” enhancement (a progressive filling enhancement), while all 23 GGSs showed “pattern B” enhancement (a gradual whole-lesion enhancement) ( p  
ISSN:1432-1084
0938-7994
1432-1084
DOI:10.1007/s00330-023-09806-7