Dischl Dominic, Kranz Dominik D, Bannasch Sebastian, Gapelyuk Andrej, Landmesser Ulf, Park Jai-Wun, Wessel Niels
German Heart Centre Munich, TUM University Hospital, Lazarettstrasse 36, 80636, Munich, Germany.
Department of Neurology with Experimental Neurology, Charité - Universitätsmedizin Berlin, Charité Campus Mitte, Charitéplatz 1, 10117, Berlin, Germany.
Sci Rep. 2025 Aug 25;15(1):31289. doi: 10.1038/s41598-025-14054-4.
Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide. Traditional diagnostic approaches, including coronary angiography and electrocardiography, have limitations in detecting ischemia and microvascular dysfunction, leading to misdiagnoses and unnecessary interventions. This study evaluates the efficacy of magnetoionography (MIG), a novel parameter extension of magnetocardiography (MCG), in improving the detection of CAD by analyzing potential intracellular cardiac currents. We conducted a prospective study including 93 CAD patients and 36 healthy controls. All CAD patients underwent non-invasive MCG measurements before coronary angiography. Conventional MCG parameters were assessed alongside retrospectively together with the MIG-derived indices, focusing on the characterization of intracellular ion currents during repolarization. MIG analysis significantly improved CAD detection accuracy. The inclusion of MIG parameters in a stepwise linear discriminant analysis increased sensitivity from 90.3% (MCG alone) to 93.5% and specificity from 76.5 to 85.3%. Key discriminative parameters included Heart Rate, Current Moment Dynamics, and Dipolarity Index for ST Segment (all stress). Our findings support the further study of MIG for its potential use in clinical practice as a non-invasive, highly sensitive diagnostic tool for CAD. Through intracellular cardiac currents captured by an MCG system, the MIG parameter extension may offer deeper pathophysiological insights, potentially enhancing risk stratification and early disease detection.
冠状动脉疾病（CAD）仍然是全球发病和死亡的主要原因。包括冠状动脉造影和心电图在内的传统诊断方法在检测缺血和微血管功能障碍方面存在局限性，导致误诊和不必要的干预。本研究通过分析潜在的细胞内心脏电流，评估磁离子图（MIG）这一磁心动图（MCG）的新型参数扩展在改善CAD检测方面的功效。我们进行了一项前瞻性研究，纳入了93例CAD患者和36例健康对照。所有CAD患者在冠状动脉造影前均接受了无创MCG测量。常规MCG参数与MIG衍生指标一起进行回顾性评估，重点关注复极过程中细胞内离子电流的特征。MIG分析显著提高了CAD检测的准确性。在逐步线性判别分析中纳入MIG参数后，敏感性从90.3%（仅MCG）提高到93.5%，特异性从76.5%提高到85.3%。关键判别参数包括心率、电流矩动态和ST段偶极指数（所有应激）。我们的研究结果支持进一步研究MIG，因为它有可能作为一种无创、高灵敏度的CAD诊断工具应用于临床实践。通过MCG系统捕获的细胞内心脏电流，MIG参数扩展可能提供更深入的病理生理见解，潜在地增强风险分层和疾病早期检测。
