自动测量脏,肝脏和囊体积在自体主导多性脏疾病
Qing Xiong1, Xinzi He2, Elisa Scalco3
1Department of Radiology, Weill Cornell Medicine, New York City, New York, U.S.A.
Journal of the American Society of Nephrology : JASN
|November 4, 2025
概括
一个新的AI工具TraceOrg使用MRI扫描准确地测量 autosomal dominant多囊性病 (ADPKD) 中的,肝和囊体积. 这种自动化平台提供精确的测量,以改善ADPKD的诊断和管理.
科学领域:
- 医学成像分析 医学成像分析
- 医疗保健中的人工智能
- 脏疾病研究 脏疾病研究
背景情况:
- 精确测量脏,肝脏和囊体积对于诊断和管理自身主导性多囊病 (ADPKD) 至关重要.
- 目前的手动测量方法往往不准确,缺乏可复制性.
- 开发自动化工具对于有效和可靠的ADPKD评估至关重要.
研究的目的:
- 开发和验证基于网络的深度学习平台,用于自动测量ADPKD患者的脏,肝脏和囊体积.
- 提高ADPKD体积测量的准确性和可重复性.
- 提供一个用户友好的工具,用于ADPKD管理中的临床应用.
主要方法:
- 一个3D混合深度学习模型 (U-Net和变压器) 使用720名参与者的MRI和CT扫描进行训练 (611名ADPKD,109名对照).
- 该模型作为一个基于Web的计算器 (www.traceorg.com) 实现了细分,体积计算和梅奥诊所图像分类 (MIC).
- 使用内部和外部验证数据集,将性能与现有的细分模型和手动测量进行比较.
主要成果:
- 在内部验证过程中,TraceOrg平台获得了高的子分数:脏0.97,肝脏0.97,囊0.93,肝囊0.82.
- 外部验证在多个数据集中显示出强的性能,Dice的得分从0.76到0.96.
- 与立体学和PKD-RRC测量相比,平均绝对百分比差异很小,这表明准确性很高.
结论:
- TraceOrg是一个经过验证的,公开可用的基于网络的工具,用于使用腹部MRI进行ADPKD中脏,肝脏和囊的自动体积分析.
- 该平台提供高精度和稳定性,性能优于现有模型.
- TraceOrg可以显著帮助诊断,分类和管理ADPKD.
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