Sonographic Characteristics of ≥7 mm Gallbladder Polyps

The vast majority of gallbladder polyps are benign. In our large series of gallbladder polyps, we found that increased echogenicity is a nonspecific feature, found in slightly more than half of benign but also in all neoplastic polyps. Our findings support current Society of Radiologists in Ultrasound consensus guidelines.

Authors

Institutions

Publication Details

Journal
Journal of Ultrasound in Medicine
Published
2024-09-16
DOI
https://doi.org/10.1002/jum.16578
Citations
2
Primary Topic
Cholangiocarcinoma and Gallbladder Cancer Studies
Type
article
Field-Weighted Citation Impact
1.15
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sonographic Characteristics of ≥7 mm Gallbladder Polyps

Jessie L. Chai, Mary C. Frates, Andro Licaros, Esther Baranov
2 citations
Journal of Ultrasound in Medicine
Cholangiocarcinoma and Gallbladder Cancer Studies
1.15
article

Sonographic Characteristics of ≥7 mm Gallbladder Polyps

Jessie L. Chai, Mary C. Frates, Andro Licaros, Esther Baranov
article en
2 citations

Abstract

The vast majority of gallbladder polyps are benign. In our large series of gallbladder polyps, we found that increased echogenicity is a nonspecific feature, found in slightly more than half of benign but also in all neoplastic polyps. Our findings support current Society of Radiologists in Ultrasound consensus guidelines.

Journal of Ultrasound in MedicineVol. 44(1)
Brigham and Women's Hospital (US)
Quality Education
Openalex Percentile: Top 21%
Cholangiocarcinoma and Gallbladder Cancer Studies
1.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.