Grayscale ultrasonography findings for characterization of gallbladder wall thickening in non-acute setting: a systematic review and meta-analysis. (2nd January 2022)

• Record Type: Journal Article
• Authors: Rana, Pratyaksha; Gupta, Pankaj; Kalage, Daneshwari; Soundararajan, Raghuraman; Kumar-M, Praveen; Dutta, Usha
• Is Part Of: Expert review of gastroenterology & hepatology. Volume 16:Number 1(2022)
• Page Start: 59
• Page End: 71
• Publication Date: 2022-01-02
• Subjects: gallbladder -- gallbladder neoplasms -- ultrasonography -- meta-analysis; Gastroenterology -- Periodicals; Liver -- Diseases -- Periodicals; 616.3
• DOI: 10.1080/17474124.2021.2011210
• Languages: English
• ISSNs: 1747-4124

Abstract

ABSTRACT: Background: The accurate characterization of gallbladder wall thickening (GWT) into benign or malignant on ultrasound (US) is a significant challenge. Methods: We searched the MEDLINE and EMBASE databases for studies reporting two-dimensional grayscale US in benign and malignant GWT. The pooled prevalence was calculated using a generalized linear mixed method with a random-effects model. The pooled sensitivity and specificity were calculated using a bivariate random-effects model. Results: Of the 7309 studies screened by titles, 73 studies with 18, 008 patients were included. The most common findings in xanthogranulomatous cholecystitis (XGC) were lack of wall disruption and intramural hypoechoic nodules while adenomyomatosis (ADM) was frequently associated with intramural cysts and intramural echogenic foci. Echogenic foci, lack of gallbladder wall disruption, and hypoechoic nodules had a sensitivity of 89%, 77%, and 66% and specificity of 86%, 51%, and 80%, respectively for the diagnosis of benign GWT. Focal thickening and indistinct liver interface had a sensitivity of 75% and 55% and specificity of 64% and 69%, respectively for the diagnosis of malignant GWT. Conclusion: intramural features (echogenic foci, hypoechoic nodules), gallbladder wall disruption, and liver interface are useful US features for the characterization of GWT.