Timothy J. Kendall, Elaine Chng, Yayun Ren, Dean Tai, Gideon Ho, Jonathan A. Fallowfield
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引用次数: 0
Abstract
Computational quantification reduces observer-related variability in histological assessment of metabolic dysfunction-associated steatotic liver disease (MASLD). We undertook stain-free imaging using the SteatoSITE resource to generate tools directly predictive of clinical outcomes. Unstained liver biopsy sections (n = 452) were imaged using second-harmonic generation/two-photon excitation fluorescence (TPEF) microscopy, and all-cause mortality and hepatic decompensation indices constructed. The mortality index had greater predictive power for all-cause mortality (index >.14 vs. </=.14, HR 4.49, p = .003) than the non-alcoholic steatohepatitis-Clinical Research Network (NASH-CRN) (hazard ratio (HR) 3.41, 95% confidence intervals (CI) 1.43–8.15, p = .003) and qFibrosis stage (HR 3.07, 95% CI 1.30–7.26, p = .007). The decompensation index had greater predictive power for decompensation events (index >.31 vs. </=.31, HR 5.96, p < .001) than the NASH-CRN (HR 3.65, 95% CI 1.81–7.35, p < .001) or qFibrosis stage (HR 3.59, 95% CI 1.79–7.20, p < .001). These tools directly predict hard endpoints in MASLD, without relying on ordinal fibrosis scores as a surrogate, and demonstrate predictive value at least equivalent to traditional or computational ordinal fibrosis scores.
在对代谢功能障碍相关脂肪性肝病(MASLD)进行组织学评估时,计算量化可减少观察者相关的变异性。我们利用 SteatoSITE 资源进行了无染色成像,以生成直接预测临床结果的工具。使用二次谐波发生/双光子激发荧光(TPEF)显微镜对未染色的肝活检切片(n = 452)进行成像,并构建了全因死亡率和肝功能失代偿指数。死亡率指数对全因死亡率有更强的预测能力(指数 >.14 vs. .31 vs. ...)。
期刊介绍:
Liver International promotes all aspects of the science of hepatology from basic research to applied clinical studies. Providing an international forum for the publication of high-quality original research in hepatology, it is an essential resource for everyone working on normal and abnormal structure and function in the liver and its constituent cells, including clinicians and basic scientists involved in the multi-disciplinary field of hepatology. The journal welcomes articles from all fields of hepatology, which may be published as original articles, brief definitive reports, reviews, mini-reviews, images in hepatology and letters to the Editor.