Back to Search Start Over

Computed Tomography Features of Adnexal Torsion: A Meta-Analysis.

Authors :
Ling-Shan, Chen
Jing, Li
Zheng-Qiu, Zhu
Pin, Wang
Zhi-Tao, Wang
Fu-Ting, Tang
Xu-Yu, Hu
Zhong-Qiu, Wang
Source :
Academic Radiology; Feb2022, Vol. 29 Issue 2, p317-325, 9p
Publication Year :
2022

Abstract

<bold>Objectives: </bold>We performed a meta-analysis of studies examining the computed tomography (CT) features of adnexal torsion (AT).<bold>Methods: </bold>We searched PubMed, Embase, Web of Science, and the Cochrane Library for studies involving the proportion of CT features in patients with AT and that used surgery as the reference test. Study quality was assessed using the Newcastle-Ottawa scale and the Agency for Healthcare Research and Quality tool.<bold>Results: </bold>Twelve articles involving 483 patients were included. The pooled proportion of right-sided adnexal lesion was 54% (95% confidence interval [CI]: 49%-56%). The pooled proportions of the ovarian lesion histopathological types were: benign germ cell tumors, 33% (95% CI: 28%-37%); benign cystic lesions, 26% (95% CI: 21%-30%); benign epithelial neoplasms, 24% (95% CI: 20%-29%); sex cord-stromal tumors, 4% (95% CI: 2%-6%); borderline neoplasms, 3% (95% CI: 1%-6%); and hemorrhagic cysts, 2% (95% CI: 0%-3%). The pooled proportions of CT features were: Adnexal enlargement, 99% (95% CI: 98%-99%); adnexal with mass, 98% (95% CI: 97%-100%); twisted pedicle, 81% (95% CI: 78%-83%); mass with thickened wall, 77% (95% CI: 73%-81%); tubal thickening, 73% (95% CI: 68%-77%); abnormal location of adnexa, 69% (95% CI: 63%-75%), pelvic ascites, 43% (95% CI: 38%-49%); pelvic fat infiltration, 41% (95% CI: 34%-48%); uterine deviation, 37% (95% CI: 31%-42%); and lack of enhancement, 20% (95% CI: 14%-25%).<bold>Conclusion: </bold>Adnexal enlargement, adnexal mass, and twisted pedicle may be the most important CT features for diagnosing AT. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10766332
Volume :
29
Issue :
2
Database :
Supplemental Index
Journal :
Academic Radiology
Publication Type :
Academic Journal
Accession number :
154561597
Full Text :
https://doi.org/10.1016/j.acra.2020.09.025