间质性肺病的诊断:从 Averill A. Liebow 到人工智能。

IF 1.7 Q3 PATHOLOGY
Eunhee S Yi, Paul Wawryko, Jay H Ryu
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引用次数: 0

摘要

20 世纪 60 年代,Averill A. Liebow 博士首次提出 UIP 一词,将其作为纤维化间质性肺病的一种独特病理模式,此后数十年间,UIP/IPF 的组织病理学标准不断被确定,并得到了权威机构的认可。新技术和近期对间质性肺病遗传因素的研究揭示了 UIP/IPF 的分子发病机制。2010 年代中期推出的两种抗纤维化药物开创了 UIP/IPF 治疗方法的新纪元,尽管在疗效、副作用和成本方面存在争议。最近,人们提出了进行性肺纤维化的概念,以承认与 UIP/IPF 具有相似临床和病理表型的其他类型的进行性纤维化间质性肺病。同样,一些学者也提出了范式转变的建议,将 UIP 视为一个独立的诊断实体,以涵盖与 IPF 一样表现为无情进展的其他纤维化间质性肺病。这些趋势预示着钟摆正朝着合并诊断的趋势发展,而合并诊断有可能掩盖对临床和研究至关重要的潜在重要信息。数字病理学全切片成像和人工智能技术的最新进展为加强间质性肺病的组织病理学评估提供了前所未有的机会。然而,目前的临床实践趋势是不再对间质性肺疾病患者进行外科肺活检,这可能会成为限制这一努力的因素,因为很难建立一个具有人工智能模型所需的相关临床数据的大型组织病理学数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnosis of interstitial lung diseases: from Averill A. Liebow to artificial intelligence.

Histopathologic criteria of usual interstitial pneumonia (UIP)/idiopathic pulmonary fibrosis (IPF) were defined over the years and endorsed by leading organizations decades after Dr. Averill A. Liebow first coined the term UIP in the 1960s as a distinct pathologic pattern of fibrotic interstitial lung disease. Novel technology and recent research on interstitial lung diseases with genetic component shed light on molecular pathogenesis of UIP/IPF. Two antifibrotic agents introduced in the mid-2010s opened a new era of therapeutic approaches to UIP/IPF, albeit contentious issues regarding their efficacy, side effects, and costs. Recently, the concept of progressive pulmonary fibrosis was introduced to acknowledge additional types of progressive fibrosing interstitial lung diseases with the clinical and pathologic phenotypes comparable to those of UIP/IPF. Likewise, some authors have proposed a paradigm shift by considering UIP as a stand-alone diagnostic entity to encompass other fibrosing interstitial lung diseases that manifest a relentless progression as in IPF. These trends signal a pendulum moving toward the tendency of lumping diagnoses, which poses a risk of obscuring potentially important information crucial to both clinical and research purposes. Recent advances in whole slide imaging for digital pathology and artificial intelligence technology could offer an unprecedented opportunity to enhance histopathologic evaluation of interstitial lung diseases. However, current clinical practice trends of moving away from surgical lung biopsies in interstitial lung disease patients may become a limiting factor in this endeavor as it would be difficult to build a large histopathologic database with correlative clinical data required for artificial intelligence models.

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来源期刊
CiteScore
5.00
自引率
4.20%
发文量
45
审稿时长
14 weeks
期刊介绍: The Journal of Pathology and Translational Medicine is an open venue for the rapid publication of major achievements in various fields of pathology, cytopathology, and biomedical and translational research. The Journal aims to share new insights into the molecular and cellular mechanisms of human diseases and to report major advances in both experimental and clinical medicine, with a particular emphasis on translational research. The investigations of human cells and tissues using high-dimensional biology techniques such as genomics and proteomics will be given a high priority. Articles on stem cell biology are also welcome. The categories of manuscript include original articles, review and perspective articles, case studies, brief case reports, and letters to the editor.
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