2021
DOI: 10.1007/s00261-021-03360-w
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Gallbladder reporting and data system (GB-RADS) for risk stratification of gallbladder wall thickening on ultrasonography: an international expert consensus

Abstract: Han, H-S. (2022). Gallbladder reporting and data system (GB-RADS) for risk stratification of gallbladder wall thickening on ultrasonography: an international expert consensus. Abdominal radiology (New York), 47(2), 554-565.

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Cited by 30 publications
(20 citation statements)
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“…A new GB-RADS ultrasound-based risk stratification system for gallbladder wall thickening has been proposed, however, the clinical validation and utility of this system has not been published presently. 40 …”
Section: Methodsmentioning
confidence: 99%
“…A new GB-RADS ultrasound-based risk stratification system for gallbladder wall thickening has been proposed, however, the clinical validation and utility of this system has not been published presently. 40 …”
Section: Methodsmentioning
confidence: 99%
“…A few novel imaging techniques, including DECT and texture analysis, have recently been investigated to increase the accuracy of detection of malignant gallbladder wall thickening [70][71][72]. Additionally, a gallbladder reporting and data system (GB-RADS) has been proposed to stratify the risk of malignant gallbladder wall thickening in US [73]. Finally, an artificial intelligence (AI) model (GBC-net) has been proposed to differentiate benign from malignant gallbladder diseases [74].…”
Section: Differentiating Benign From Malignant Gallbladder Wall Thick...mentioning
confidence: 99%
“…It is often difficult to accurately diagnose GB wall thickening. [21][22][23] Hence, we require advanced imaging modalities to characterize GB wall thickening. DECT is a potential tool for this problem that has not been investigated.…”
Section: Benign Gallbladder Wall Thickeningmentioning
confidence: 99%