Predicting cardiac resynchronization therapy response: development and validation of a single photon emission computed tomography-based nomogram
We developed and validated a SPECT-based prediction model for predicting CRT response, which can assist clinicians in optimizing CRT candidacy preoperatively. Pacing at the latest contraction and relaxation segments, while avoiding scarred regions and optimizing preoperative status, is anticipated to improve CRT response.
Authors
- Weihua Zhou (ORCID: https://orcid.org/0000-0002-6039-959X)
- Huiyuan Qin (ORCID: https://orcid.org/0000-0003-4049-2508)
- Qiushi Chen (ORCID: https://orcid.org/0000-0001-8355-2801)
- Cheng Wang (ORCID: https://orcid.org/0000-0002-7120-0654)
- Zhuo He (ORCID: https://orcid.org/0000-0002-3805-4579)
- Dianfu Li
- Chang Cui (ORCID: https://orcid.org/0000-0002-5349-6295)
- Zhongqiang Zhao
- Chunxiang Li (ORCID: https://orcid.org/0000-0002-6555-0519)
- Ju Bu
- Zhongwei Jiang (ORCID: https://orcid.org/0009-0005-0078-2828)
Institutions
- Michigan Technological University (US)
- People's Hospital of Kaizhou District (CN)
- Biocom (US)
- Jiangsu Province Hospital (CN)
- Chongqing Dazu District People's Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-04-30
- DOI
- https://doi.org/10.21037/qims-2024-2700
- Primary Topic
- Cardiac pacing and defibrillation studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00