Enhanced Artificial Intelligence Methods for Liver Steatosis Assessment Using Machine Learning and Color Image Processing: Liver Color Project

IF 1.9 4区 医学 Q2 SURGERY Clinical Transplantation Pub Date : 2024-10-09 DOI:10.1111/ctr.15465
Concepción Gómez-Gavara, Itxarone Bilbao, Gemma Piella, Javier Vazquez-Corral, Berta Benet-Cugat, Elizabeth Pando, José Andrés Molino, María Teresa Salcedo, Mar Dalmau, Laura Vidal, Daniel Esono, Miguel Ángel Cordobés, Ángela Bilbao, Josa Prats, Mar Moya, Cristina Dopazo, Christopher Mazo, Mireia Caralt, Ernest Hidalgo, Ramon Charco
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Abstract

Background

The use of livers with significant steatosis is associated with worse transplantation outcomes. Brain death donor liver acceptance is mostly based on subjective surgeon assessment of liver appearance, since steatotic livers acquire a yellowish tone. The aim of this study was to develop a rapid, robust, accurate, and cost-effective method to assess liver steatosis.

Methods

From June 1, 2018, to November 30, 2023, photographs and tru-cut needle biopsies were taken from adult brain death donor livers at a single university hospital for the study. All the liver photographs were taken by smartphones then color calibrated, segmented, and divided into patches. Color and texture features were then extracted and used as input, and the machine learning method was applied. This is a collaborative project between Vall d'Hebron University Hospital and Barcelona MedTech, Pompeu Fabra University, and is referred to as LiverColor.

Results

A total of 192 livers (362 photographs and 7240 patches) were included. When setting a macrosteatosis threshold of 30%, the best results were obtained using the random forest classifier, achieving an AUROC = 0.74, with 85% accuracy.

Conclusion

Machine learning coupled with liver texture and color analysis of photographs taken with smartphones provides excellent accuracy for determining liver steatosis.

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利用机器学习和彩色图像处理增强肝脏脂肪变性评估的人工智能方法:肝脏颜色项目。
背景:使用严重脂肪变性的肝脏与较差的移植结果有关。脑死亡供体肝脏的接受主要基于外科医生对肝脏外观的主观评估,因为脂肪变性的肝脏呈淡黄色。本研究旨在开发一种快速、稳健、准确且经济有效的方法来评估肝脏脂肪变性:从 2018 年 6 月 1 日至 2023 年 11 月 30 日,在一家大学医院对成人脑死亡捐献者的肝脏进行了拍照和真切针活检。所有肝脏照片均由智能手机拍摄,然后进行颜色校准、分割并划分成斑块。然后提取颜色和纹理特征作为输入,并应用机器学习方法。这是瓦勒德希伯伦大学医院和庞培法布拉大学巴塞罗那医疗技术中心的一个合作项目,被称为 LiverColor.Results:结果:共纳入了 192 个肝脏(362 张照片和 7240 个斑块)。当设定大骨质疏松症阈值为 30% 时,使用随机森林分类器获得了最佳结果,AUROC = 0.74,准确率达 85%:机器学习加上对智能手机拍摄的照片进行肝脏纹理和颜色分析,可为确定肝脏脂肪变性提供极高的准确性。
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来源期刊
Clinical Transplantation
Clinical Transplantation 医学-外科
CiteScore
3.70
自引率
4.80%
发文量
286
审稿时长
2 months
期刊介绍: Clinical Transplantation: The Journal of Clinical and Translational Research aims to serve as a channel of rapid communication for all those involved in the care of patients who require, or have had, organ or tissue transplants, including: kidney, intestine, liver, pancreas, islets, heart, heart valves, lung, bone marrow, cornea, skin, bone, and cartilage, viable or stored. Published monthly, Clinical Transplantation’s scope is focused on the complete spectrum of present transplant therapies, as well as also those that are experimental or may become possible in future. Topics include: Immunology and immunosuppression; Patient preparation; Social, ethical, and psychological issues; Complications, short- and long-term results; Artificial organs; Donation and preservation of organ and tissue; Translational studies; Advances in tissue typing; Updates on transplant pathology;. Clinical and translational studies are particularly welcome, as well as focused reviews. Full-length papers and short communications are invited. Clinical reviews are encouraged, as well as seminal papers in basic science which might lead to immediate clinical application. Prominence is regularly given to the results of cooperative surveys conducted by the organ and tissue transplant registries. Clinical Transplantation: The Journal of Clinical and Translational Research is essential reading for clinicians and researchers in the diverse field of transplantation: surgeons; clinical immunologists; cryobiologists; hematologists; gastroenterologists; hepatologists; pulmonologists; nephrologists; cardiologists; and endocrinologists. It will also be of interest to sociologists, psychologists, research workers, and to all health professionals whose combined efforts will improve the prognosis of transplant recipients.
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