Diagnostic performance of microvascular flow imaging for noninvasive assessment of liver fibrosis in chronic liver disease

Chronic liver disease (CLD) represents a significant global health challenge necessitating the evaluation of liver fibrosis. This study aimed to evaluate the diagnostic performance of microvascular flow (MV-flow) imaging in evaluating liver fibrosis and compare it with other non-invasive tools. Betw...

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Veröffentlicht in:PloS one Jg. 20; H. 6; S. e0322102
Hauptverfasser: Yoo, Hae Won, Yang, Chan Jin, Yoo, Jeong-Ju, Chang, Young, Lee, Sae Hwan, Jeong, Soung Won, Jang, Jae Young, Cheon, Gab Jin, Kim, Young Seok, Kim, Hong Soo, Kim, Sang Gyune
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Public Library of Science 04.06.2025
Public Library of Science (PLoS)
Schlagworte:
Accuracy
Adult
Aged
Biology and Life Sciences
Biopsy
Chronic Disease
Cirrhosis
Development and progression
Diagnosis
Diagnostic imaging
Elasticity Imaging Techniques - methods
Evaluation
Fatty liver
Female
Fibrosis
Global health
Humans
Liver
Liver - blood supply
Liver - diagnostic imaging
Liver - pathology
Liver cirrhosis
Liver Cirrhosis - diagnosis
Liver Cirrhosis - diagnostic imaging
Liver Cirrhosis - pathology
Liver diseases
Liver Diseases - diagnostic imaging
Male
Medical imaging
Medicine and Health Sciences
Microvasculature
Microvessels - diagnostic imaging
Middle Aged
Mortality
Patients
Performance evaluation
Prospective Studies
Public health
Research and Analysis Methods
Risk factors
ROC Curve
Two dimensional flow
Ultrasonic imaging
South Korea
ISSN:1932-6203, 1932-6203
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Zusammenfassung:Chronic liver disease (CLD) represents a significant global health challenge necessitating the evaluation of liver fibrosis. This study aimed to evaluate the diagnostic performance of microvascular flow (MV-flow) imaging in evaluating liver fibrosis and compare it with other non-invasive tools. Between July 2020 and June 2022, we prospectively enrolled patients scheduled for liver biopsy, concurrently measuring MV-flow imaging, transient elastography (TE), and two-dimensional shear wave elastography (2D-SWE) as part of the assessment process. We evaluated the diagnostic performance of MV-flow imaging, 2D-SWE, and TE based on histologic staging of liver fibrosis using the area under the receiver operating characteristic curve (AUROC), and calculated the optimal cut-off value. A total of 89 participants were included. Non-alcoholic fatty liver disease was the most common etiology of CLD (32.6%). The liver fibrosis stage distribution was as follows: stage 0 (11.2%), stage 1 (31.5%), stage 2 (25.8%), stage 3 (13.5%), and stage 4 (18.0%). The MV-flow scoring system's cut-off values and AUROCs for predicting stage 2, stage 3, and cirrhosis were 2.1 (0.836), 2.5 (0.955), and 2.9 (0.942), respectively. The MV-flow scoring system's performance in predicting advanced fibrosis (stage 3) was comparable to TE (p = 0.170) and 2D-SWE (p = 0.456). MV-flow imaging misclassified 9.0% of patients in predicting advanced fibrosis. A sequential combination of 2D-SWE and MV-flow imaging, following the specified cut-off, minimized the risk of missing advanced fibrosis to 1.2%. MV-flow imaging is an effective tool for predicting liver fibrosis stage. Integrating MV-flow imaging with 2D-SWE can enhance the assessment of liver fibrosis in patients with CLD.
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Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0322102