Ultrasound-guided attenuation parameter for identifying metabolic dysfunction-associated steatotic liver disease: a prospective study

Using MRI-PDFF as the reference standard, UGAP demonstrates good diagnostic performance in the detection and grading of hepatic steatosis in patients with MASLD.

Authors

Institutions

Publication Details

Journal
ULTRASONOGRAPHY
Published
2024-12-19
DOI
https://doi.org/10.14366/usg.24204
Citations
10
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
3.87

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ultrasound-guided attenuation parameter for identifying metabolic dysfunction-associated steatotic liver disease: a prospective study

Yun‐Lin Huang, Rui Cheng, Juan Cheng, Ming Wang et al.
10 citations
ULTRASONOGRAPHY
Liver Disease Diagnosis and Treatment
3.87
article

Ultrasound-guided attenuation parameter for identifying metabolic dysfunction-associated steatotic liver disease: a prospective study

Yun‐Lin Huang, Rui Cheng, Juan Cheng, Ming Wang, Xiu-Yun Lu, Wei Li, Chao Sun, Shiwen Wang, Jian‐Gao Fan, Yi Dong, Ying Wang
article en
10 citations

Abstract

Using MRI-PDFF as the reference standard, UGAP demonstrates good diagnostic performance in the detection and grading of hepatic steatosis in patients with MASLD.

ULTRASONOGRAPHYVol. 44(2)
Shanghai Jiao Tong University (CN), Fudan University (CN), XinHua Hospital (CN), Zhongshan Hospital (CN)
Deutsche Forschungsgemeinschaft, National Natural Science Foundation of China
Openalex Percentile: Top 6%
Liver Disease Diagnosis and Treatment
3.87
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.