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提高获取供体肾活检冷冻切片评估质量和降低废弃率:人工智能的前景可期。

Improving frozen section evaluation of procurement donor kidney biopsies and reducing the discard rate: a promising role for artificial intelligence.

机构信息

Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.

出版信息

Kidney Int. 2024 Feb;105(2):240-242. doi: 10.1016/j.kint.2023.10.031.

Abstract

There is a worldwide shortage of deceased-donor kidneys available for transplantation, with too many patients dying while on waiting lists for organs. Meanwhile, and particularly in the United States, many recovered kidneys are discarded, often based on results of frozen section evaluation of a screening biopsy read by an on-call pathologist with limited renal pathology experience. A study in this month's issue of Kidney International uses an artificial intelligence-based approach to evaluate these biopsies, which not only improved correlation between biopsy findings and short-to-intermediate term graft survival, but also demonstrated the potential to reduce biopsy-associated organ discard rates by 25% to 30%.

摘要

全球可供移植的已故捐赠者肾脏短缺,许多患者在等待器官移植的名单上死亡。与此同时,尤其是在美国,许多恢复的肾脏被丢弃,这通常是基于冷冻切片评估结果,由一位经验有限的肾脏病理学家在值班时阅读筛查活检得出的。本月《国际肾脏》杂志上的一项研究使用了一种基于人工智能的方法来评估这些活检,这不仅提高了活检结果与短期至中期移植物存活率之间的相关性,而且还证明了通过这种方法降低 25%至 30%的活检相关器官丢弃率的潜力。

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