{
  "abstract": "BACKGROUND: Catheter ablation of ventricular tachycardia (VT) is characterized by long procedures and frequent recurrence. Personalized image-based computational models may provide noninvasive ablation target guidance but are computationally demanding and cannot localize focal arrhythmias. OBJECTIVE: This study aims to clinically validate our near real-time in silico pace mapping (InSPM) approach, which rapidly localizes both focal and re-entrant arrhythmia site of origins within personalized image-based models. METHODS: Personalized models incorporating scar were reconstructed from imaging data in 18 patients with structural heart disease; 12-lead electrocardiogram (ECGs) were obtained during clinical pace mapping and pacing site locations defined as ground truth. ECG templates of induced monomorphic VT were obtained. Virtual pacing was conducted in models and simulated ECGs correlated with clinical templates to produce high-resolution virtual pace-maps. Distance (d) between clinical ground truth sites and simulation predicted target areas with highest correlation quantitatively assessed InSPM accuracy for localizing focal activations. For re-entrant VT, predicted targets were compared with surrogates of VT site of origin and mapped VT circuits. RESULTS: Intrinsic resolution of clinical pace mapping was approximately 4 mm for similarly correlated ECGs (mean correlation coefficient >0.99). Across 270 clinical pace-mapping locations, d was 8.2 mm (6.9‒12 mm), relatively insensitive to cardiomyopathy, but with increased accuracy in right vs left ventricles. Patient-specific ECG electrodes alongside accurate scar representation, particularly in patients with ischemia, were important for optimizing InSPM accuracy. InSPM created from clinical ECG VT templates reliably identified re-entrant VT exit sites. CONCLUSION: InSPM provides a rapid and validated personalized computational modeling ablation technology to accurately localize both focal and re-entrant VTs, which may be practically integrated into clinical workflows.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 22,
  "authors": [
    {
      "name": "Fernando Campos"
    },
    {
      "name": "Ursula Rohrer"
    },
    {
      "name": "Sri Kousthubha Allampalli"
    },
    {
      "name": "Ali-Razak Rashid"
    },
    {
      "name": "Iulia Nazarov"
    },
    {
      "name": "Karli Gillette"
    },
    {
      "name": "Janneke Burger"
    },
    {
      "name": "Pranav Bhagirath"
    },
    {
      "name": "Robert Arnold"
    },
    {
      "name": "Luca Azzolin"
    },
    {
      "name": "Aurel Neic"
    },
    {
      "name": "Matthias Gsell"
    },
    {
      "name": "Mohammadreza Kariman"
    },
    {
      "name": "Tevfik Ismail"
    },
    {
      "name": "Ronak Rajani"
    },
    {
      "name": "Sebastien Roujol"
    },
    {
      "name": "Mark O’neill"
    },
    {
      "name": "Matthew Wright"
    },
    {
      "name": "Christopher Aldo Rinaldi"
    },
    {
      "name": "Gernot Plank"
    },
    {
      "name": "John Whitaker"
    },
    {
      "name": "Martin Bishop"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/fh4hepbr843yb.bib",
  "cited_by": 0,
  "doi": "10.1016/j.hrthm.2026.05.023",
  "fulltext_url": null,
  "id": "fh4hepbr843yb",
  "issns": [
    "1547-5271",
    "1556-3871"
  ],
  "landing_url": "https://hal.science/hal-05795601v1",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.sdv"
    ],
    [
      "hal",
      "1.sdv.ib"
    ],
    [
      "openalex",
      "2705|Cardiac Arrhythmias and Treatments"
    ]
  ],
  "openalex": "W7161624694",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-12",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/fh4hepbr843yb.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:55Z",
      "native_id": "hal-05795601",
      "source": "hal",
      "url": "https://hal.science/hal-05795601v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "hal:1.sdv.ib",
      "subfield": "systems-synthetic"
    }
  ],
  "title": "Clinical validation of an in silico pace mapping approach to localize both focal and re-entrant ventricular arrhythmias in patients with structural heart disease",
  "title_text": "Clinical validation of an in silico pace mapping approach to localize both focal and re-entrant ventricular arrhythmias in patients with structural heart disease",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:55Z",
  "url": "https://research.draconitic.com/paper/fh4hepbr843yb",
  "venue": "Heart Rhythm",
  "versions": []
}