An Optimized Strategy Based on Conventional Ultrasound for Diagnosing Metabolic Dysfunction-Associated Steatotic Liver Disease

Author:

Feng Xiongcai1,Ye Junzhao1,Deng Hong2,Li Xin3,Xu Lishu4,Feng Shiting5,Dong Zhi5,Liao Bing6,Dong Zhiyong7,Zhong Bihui1ORCID

Affiliation:

1. Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, No. 58 Zhongshan II Road, Yuexiu District, Guangzhou 510000, China

2. Department of Infectious Diseases, The Third Affiliated Hospital, Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou 510080, China

3. Department of Gastroenterology, The Tenth Affiliated Hospital of Southern Medical University (Dongguan People’s Hospital), No. 78 Wandao Road, Wanjiang District, Dongguan 523059, China

4. Department of Geriatrics, Guangdong Provincial People’s Hospital, No. 106 Zhongshan II Road, Yuexiu District, Guangzhou 510000, China

5. Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, No. 58 Zhongshan II Road, Yuexiu District, Guangzhou 510000, China

6. Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, No. 58 Zhongshan II Road, Yuexiu District, Guangzhou 510000, China

7. Department of Bariatric Surgery, The First Affiliated Hospital, Jinan University, No. 613 West Huangpu Avenue, Tianhe District, Guangzhou 510080, China

Abstract

The inherent drawbacks of the conventional B-mode ultrasound for metabolic dysfunction-associated steatotic liver disease (MASLD) are poorly understood. We aimed to investigate the impact factors and optimize the screening performance of ultrasound in MASLD. In a prospective pilot cohort recruited from July 2020 to January 2022, subjects who had undergone magnetic resonance imaging-based proton density fat fraction (MRI-PDFF), ultrasound, and laboratory test-based assessments were included in the deprivation cohort. A validation cohort including 426 patients with liver histologic assessments from five medical centers in South China was also recruited. A total of 1489 Chinese subjects were enrolled in the deprivation cohort, and ultrasound misdiagnosed 62.2% of the non-MASLD patients and failed to detect 6.1% of the MASLD patients. The number of metabolic dysfunction components and the alanine aminotransferase (ALT) level were associated with a missed diagnosis by ultrasound (OR = 0.67, 95% CI 0.55–0.82 p < 0.001; OR = 0.50, 95% CI 0.31–0.79, p = 0.003, respectively). Compared with ultrasound alone, the new strategy based on ultrasound, in combination with measurements of the number of metabolic dysfunction components and ALT and uric acid levels, significantly improved the AUROC both in the research cohort and the validation cohort (0.66 vs. 0.84, 0.83 vs. 0.92, respectively). The number of metabolic dysfunction components and ALT and uric acid levels improved the screening efficacy of ultrasound for MASLD.

Funder

National Natural Science Foundation of China

Guangdong Natural Science Foundation

China Postdoctoral Science Foundation

Publisher

MDPI AG

Subject

Clinical Biochemistry

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