The SYNTAX score has become a widely used measure of coronary disease severity , crucial in selecting the optimal mode of revascularization. This paper introduces a new medical regression and classification problem - automatically estimating SYNTAX score from coronary angiography. Our study presents a comprehensive dataset of 1,844 patients, featuring a balanced distribution of individuals with zero and non-zero scores. This dataset includes a first-of-its-kind, complete coronary angiography samples captured through a multi-view X-ray video, allowing one to observe coronary arteries from multiple perspectives. Furthermore, we present a novel, fully automatic end-to-end method for estimating the SYNTAX. For such a difficult task, we have achieved a solid coefficient of determination R2 of 0.51 in score predictions.

翻译：SYNTAX评分已成为广泛使用的冠状动脉疾病严重程度评估指标，对选择最佳血运重建方式至关重要。本文提出了一个新的医学回归与分类问题——从冠状动脉造影中自动估计SYNTAX评分。我们的研究提供了包含1,844名患者的综合数据集，该数据集具有零分与非零分患者的平衡分布。该数据集首次包含通过多视角X射线视频采集的完整冠状动脉造影样本，使观察者能从多角度观察冠状动脉。此外，我们提出了一种全新的全自动端到端SYNTAX评分估计方法。针对这一复杂任务，我们在评分预测中实现了0.51的决定系数R²。