Clinical phenotypes among patients that underwent cardiac resynchronization therapy using unsupervised learning integrating gated SPECT

Our results suggest that evaluating cardiac dyssynchrony, fibrosis, and remodeling through phase analysis of gated SPECT is relevant in characterizing the phenotype of good responders. Patients with substantial amounts of cardiac fibrosis have less benefit from CRT. This work suggests that CRT recommendations based on customized selection criteria associated with gated SPECT can lead to higher response rates.

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Publication Details

Journal
Nuclear Medicine Communications
Published
2025-10-07
DOI
https://doi.org/10.1097/mnm.0000000000002055
Primary Topic
Cardiac pacing and defibrillation studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Clinical phenotypes among patients that underwent cardiac resynchronization therapy using unsupervised learning integrating gated SPECT

Cláudio Tinoco Mesquita, Jiangang Zou, Weihua Zhou, Amalia Peix et al.
Nuclear Medicine Communications
Cardiac pacing and defibrillation studies
article

Clinical phenotypes among patients that underwent cardiac resynchronization therapy using unsupervised learning integrating gated SPECT

Cláudio Tinoco Mesquita, Jiangang Zou, Weihua Zhou, Amalia Peix, Qiuying Sha, Zhuo He, Guang‐Uei Hung, Giovane L. Azevedo, Xinwei Zhang, Kristoffer Larsen, Neil S. Painter
article en

Abstract

Our results suggest that evaluating cardiac dyssynchrony, fibrosis, and remodeling through phase analysis of gated SPECT is relevant in characterizing the phenotype of good responders. Patients with substantial amounts of cardiac fibrosis have less benefit from CRT. This work suggests that CRT recommendations based on customized selection criteria associated with gated SPECT can lead to higher response rates.

Nuclear Medicine CommunicationsVol. 46(12)
Michigan Technological University (US), Chang Bing Show Chwan Memorial Hospital (TW), Department of Mathematical Sciences (RU), Hospital Universitário Antônio Pedro (BR), Jiangsu Province Hospital (CN), Nanjing Medical University (CN)
Openalex Percentile: Top 58%
Cardiac pacing and defibrillation studies
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