AI-Based screening for thoracic aortic aneurysms in routine breast MRI

IF 15.7 1区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Nature Communications Pub Date : 2025-06-12 DOI:10.1038/s41467-025-59694-2

Dimitrios Bounias, Tobit Führes, Luise Brock, Johanna Graber, Lorenz A. Kapsner, Andrzej Liebert, Hannes Schreiter, Jessica Eberle, Dominique Hadler, Dominika Skwierawska, Ralf Floca, Peter Neher, Balint Kovacs, Evelyn Wenkel, Sabine Ohlmeyer, Michael Uder, Klaus Maier-Hein, Sebastian Bickelhaupt

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引用次数: 0

Abstract

Prognosis for thoracic aortic aneurysms is significantly worse for women than men, with a higher mortality rate observed among female patients. The increasing use of magnetic resonance breast imaging (MRI) offers a unique opportunity for simultaneous detection of both breast cancer and thoracic aortic aneurysms. We retrospectively validate a fully-automated artificial neural network (ANN) pipeline on 5057 breast MRI examinations from public (Duke University Hospital/EA1141 trial) and in-house (Erlangen University Hospital) data. The ANN, benchmarked against 3D-ground-truth segmentations, clinical reports, and a multireader panel, demonstrates high technical robustness (dice/clDice 0.88-0.91/0.97-0.99) across different vendors and field strengths. The ANN improves aneurysm detection rates by 3.5-fold compared with routine clinical readings, highlighting its potential to improve early diagnosis and patient outcomes. Notably, a higher odds ratio (OR = 2.29, CI: [0.55,9.61]) for thoracic aortic aneurysms is observed in women with breast cancer or breast cancer history, suggesting potential further benefits from integrated simultaneous assessment for cancer and aortic aneurysms.

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基于人工智能的胸主动脉瘤常规MRI筛查

女性胸主动脉瘤的预后明显差于男性，女性患者的死亡率较高。越来越多的使用磁共振乳房成像（MRI）提供了一个独特的机会，同时检测乳腺癌和胸主动脉瘤。我们回顾性地验证了来自公共（杜克大学医院/EA1141试验）和内部（埃尔兰根大学医院）的5057次乳房MRI检查的全自动人工神经网络（ANN）管道。该人工神经网络以3D-ground-truth分割、临床报告和多阅读器面板为基准，在不同供应商和不同领域的优势下显示出高技术稳健性（dice/clDice 0.88-0.91/0.97-0.99）。与常规临床读数相比，人工神经网络将动脉瘤检出率提高了3.5倍，突出了其改善早期诊断和患者预后的潜力。值得注意的是，在患有乳腺癌或有乳腺癌病史的女性中，胸主动脉瘤的优势比（OR = 2.29, CI:[0.55,9.61]）更高，这表明对癌症和主动脉瘤进行综合同时评估可能有进一步的益处。

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来源期刊

Nature Communications Biological Science Disciplines-

CiteScore

24.90

自引率

2.40%

发文量

6928

审稿时长

3.7 months

期刊介绍： Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.