Using Incidental Radiologic Findings of Hepatic Steatosis to Improve the Diagnosis of Metabolic Dysfunction-Associated Steatotic Liver Disease

IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Emily Schonfeld MD , Andrea Siobhan Kierans MD , Rena Fox MD , Danielle Brandman MD, MAS
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引用次数: 0

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a common cause of liver disease worldwide. In patients with MASLD, liver fibrosis stage is the most significant predictor of mortality; therefore, early identification of patients at the greatest risk of advanced fibrosis is essential. Noninvasive tests predict advanced fibrosis and are recommended for use in primary care settings to determine which patients would benefit most from specialty care. The adoption of these tools is not widespread, and several studies have reported underrecognition of cirrhosis in patients with MASLD and diabetes. The finding of hepatic steatosis on imaging performed for evaluation of nonliver conditions may present an avenue for opportunistic screening to identify more patients with MASLD. This article will review recommendations for when hepatic steatosis is found on imaging and noninvasive tests that can be used to help predict fibrosis staging. This is a significant area of research because a new treatment for MASLD has been approved, and other treatments may follow.
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来源期刊
Journal of the American College of Radiology
Journal of the American College of Radiology RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
6.30
自引率
8.90%
发文量
312
审稿时长
34 days
期刊介绍: The official journal of the American College of Radiology, JACR informs its readers of timely, pertinent, and important topics affecting the practice of diagnostic radiologists, interventional radiologists, medical physicists, and radiation oncologists. In so doing, JACR improves their practices and helps optimize their role in the health care system. By providing a forum for informative, well-written articles on health policy, clinical practice, practice management, data science, and education, JACR engages readers in a dialogue that ultimately benefits patient care.
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