Assessment of Sestamibi CZT-SPECT Reconstructed Using Deep-Learning-Based Virtual Attenuation Correction Maps According to Coronary Artery Territory and With Comparison to Rubidium-PET.

Fiche publication

Date publication

avril 2025

Journal

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology

Auteurs

Membres identifiés du Cancéropôle Est :
Pr MARIE Pierre-Yves , Dr CLAUDIN Marine

Tous les auteurs :
Sprauel T, Imbert L, Doyeux K, Perrin M, Claudin M, Roch V, Doyen M, Roth N, Lamash Y, Chequer R, Rouzet F, Hyafil F, Marie PY

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/40258438

Résumé

Attenuation artifacts affect the analysis of SPECT myocardial perfusion imaging, especially in the right coronary artery (RCA) territory, although CT-based attenuation corrections minimize this issue. This study aims to assess stress-rest [Tc]sestamibi CZT-SPECT reconstructed using deep-learning-based attenuation correction (DLAC) maps according to coronary artery territory and with comparison to [Rb]rubidium-PET (Rb-PET) conventionally reconstructed with CT-based attenuation correction.