Development and Implementation of a First-in-Class Web-based Cloud Platform for Non-Invasive Electroanatomical Mapping

Mikhail Chmelevsky1, Aleksandr Sinitca2, Chiara Arduino3, Svyatoslav Khamzin4, Arsenii Dokuchaev4, Anastasia Bazhutina4, Stepan Zubarev5, Margarita Budanova6, Werner Rainer3
1Division of Cardiology, Fondazione Cardiocentro Ticino, 2XSpline SpA, 3XSpline S.p.A., 4XSpline S.p.A, 5Almazov National Medical Research Center, Saint-Petersburg, Russia; Institute Of Immunology and Physiology, Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russia; Xspline S.p.a, Bolzano, Italy, 6Federal Almazov National Medical Research Center


Abstract

Aim. This study introduces a groundbreaking web-based cloud platform designed to automate the non-invasive reconstruction of electroanatomical maps (EAM) using a standard digital 12-lead ECG and CT data. Unlike current solutions that require multichannel ECG data in proprietary formats necessitating specific hardware our platform simplifies cardiac mapping by supporting common medical image formats and leveraging existing clinical data. This innovation addresses significant barriers in accessibility and efficiency offering a universal cardiac mapping solution that can be utilized globally without specialized equipment.

Methods. Employing previously optimized algorithms this platform automatically processes uploaded DICOM-format CT images and digital 12-lead ECGs to generate interactive 3D EAM on epi-endocardial anatomical model of ventricles and also anatomical model of coronary sinus veins. These maps are accessible online from any device with internet connection. Validation was performed using data from 25 patients recently enrolled in the CRT-DRIVE international multicenter clinical trial (ClinicalTrials.gov: NCT05327062) which aims to improve pre-procedural planning for CRT interventions.

Results. The platform efficiently processed all uploaded cases while 36% of patients (9/25) have already undergone a 6-month follow-up and become a full responders according to the clinical study criteria. The web-platform provided detailed 3D visualizations that significantly enhanced the strategic planning of successful LV lead implantation particularly beneficial for global users by offering insights previously available only in advanced medical facilities.

Conclusions. The developed web-platform significantly streamlines the process of EAM high-quality diagnostic tools available to a wider range of healthcare providers and eliminating traditional barriers such as geographic and economic constraints. It integrates seamlessly into routine clinical practices worldwide setting a new standard for the use of technology in cardiac electrophysiology. This system not only improves the outcomes of CRT but also promotes widespread adoption of non-invasive mapping techniques potentially transforming the landscape of cardiac care globally.