评估代谢功能障碍相关脂肪性肝病纤维化的无创工具。

Joana Rigor, Maria E Martins, Beatriz Passos, Raquel Oliveira, Daniela Martins-Mendes
{"title":"评估代谢功能障碍相关脂肪性肝病纤维化的无创工具。","authors":"Joana Rigor, Maria E Martins, Beatriz Passos, Raquel Oliveira, Daniela Martins-Mendes","doi":"10.23736/S0026-4806.24.09290-5","DOIUrl":null,"url":null,"abstract":"<p><p>Metabolic dysfunction-associated steatotic liver disease (MASLD), previously nonalcoholic fatty liver disease (NAFLD), is the number one chronic liver disorder worldwide. Progression to advanced fibrosis marks the emergence of a significant risk of liver-related negative outcomes. However, only a minority of patients will present at this stage. Since widespread liver biopsy in unfeasible at such high disease prevalence, there was a need to develop noninvasive tests (NITs) that could easily and reliably be applied to patients with MASLD, regardless of clinical setting. The NITs include simple scores, like the fibrosis-4 (FIB-4) Index, patented serum tests, like the Enhanced Liver Fibrosis test (ELF™), and imaging-based modalities, like the vibration-controlled transient elastography (VCTE). Guidelines suggests a stepwise approach that utilizes more than one NIT, with FIB-4 <1.30 being used as a first step to rule out patients that do not need further testing. Subsequent choice of NIT will be influenced by setting, cost, and local availability. While these NITs are accurate, they are not perfect. As such, research is ongoing. A promising avenue is that of omics, a group of technologies that provide concomitant results on a large number of molecules (and other variables). With the advance of artificial intelligence, new NITs may arise from large demographic, biochemical, and radiological data sets.</p>","PeriodicalId":94143,"journal":{"name":"Minerva medica","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Noninvasive tools for the assessment of fibrosis in metabolic dysfunction-associated steatotic liver disease.\",\"authors\":\"Joana Rigor, Maria E Martins, Beatriz Passos, Raquel Oliveira, Daniela Martins-Mendes\",\"doi\":\"10.23736/S0026-4806.24.09290-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Metabolic dysfunction-associated steatotic liver disease (MASLD), previously nonalcoholic fatty liver disease (NAFLD), is the number one chronic liver disorder worldwide. Progression to advanced fibrosis marks the emergence of a significant risk of liver-related negative outcomes. However, only a minority of patients will present at this stage. Since widespread liver biopsy in unfeasible at such high disease prevalence, there was a need to develop noninvasive tests (NITs) that could easily and reliably be applied to patients with MASLD, regardless of clinical setting. The NITs include simple scores, like the fibrosis-4 (FIB-4) Index, patented serum tests, like the Enhanced Liver Fibrosis test (ELF™), and imaging-based modalities, like the vibration-controlled transient elastography (VCTE). Guidelines suggests a stepwise approach that utilizes more than one NIT, with FIB-4 <1.30 being used as a first step to rule out patients that do not need further testing. Subsequent choice of NIT will be influenced by setting, cost, and local availability. While these NITs are accurate, they are not perfect. As such, research is ongoing. A promising avenue is that of omics, a group of technologies that provide concomitant results on a large number of molecules (and other variables). With the advance of artificial intelligence, new NITs may arise from large demographic, biochemical, and radiological data sets.</p>\",\"PeriodicalId\":94143,\"journal\":{\"name\":\"Minerva medica\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Minerva medica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23736/S0026-4806.24.09290-5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Minerva medica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23736/S0026-4806.24.09290-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

代谢功能障碍相关性脂肪性肝病(MASLD),即之前的非酒精性脂肪肝(NAFLD),是全球头号慢性肝病。进展到晚期纤维化标志着出现与肝脏相关的不良后果的重大风险。然而,只有少数患者会发展到这一阶段。由于在如此高的发病率下进行广泛的肝脏活组织检查是不可行的,因此有必要开发无创检验(NIT),无论临床环境如何,都能方便可靠地应用于 MASLD 患者。无创检验包括纤维化-4(FIB-4)指数等简单评分、增强肝纤维化检验(ELF™)等专利血清检验,以及振动控制瞬态弹性成像(VCTE)等基于成像的模式。指南建议采用分步法,利用一种以上的 NIT,其中包括 FIB-4
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Noninvasive tools for the assessment of fibrosis in metabolic dysfunction-associated steatotic liver disease.

Metabolic dysfunction-associated steatotic liver disease (MASLD), previously nonalcoholic fatty liver disease (NAFLD), is the number one chronic liver disorder worldwide. Progression to advanced fibrosis marks the emergence of a significant risk of liver-related negative outcomes. However, only a minority of patients will present at this stage. Since widespread liver biopsy in unfeasible at such high disease prevalence, there was a need to develop noninvasive tests (NITs) that could easily and reliably be applied to patients with MASLD, regardless of clinical setting. The NITs include simple scores, like the fibrosis-4 (FIB-4) Index, patented serum tests, like the Enhanced Liver Fibrosis test (ELF™), and imaging-based modalities, like the vibration-controlled transient elastography (VCTE). Guidelines suggests a stepwise approach that utilizes more than one NIT, with FIB-4 <1.30 being used as a first step to rule out patients that do not need further testing. Subsequent choice of NIT will be influenced by setting, cost, and local availability. While these NITs are accurate, they are not perfect. As such, research is ongoing. A promising avenue is that of omics, a group of technologies that provide concomitant results on a large number of molecules (and other variables). With the advance of artificial intelligence, new NITs may arise from large demographic, biochemical, and radiological data sets.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信