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   rationale and design of the re gistry of f ast myocardial perfusion i maging with ne xt generation spect (refine spect)  
   
نویسنده slomka piotr j. ,betancur julian ,liang joanna x. ,otaki yuka ,hu lien-hsin ,sharir tali ,dorbala sharmila ,carli marcelo di ,fish mathews b. ,ruddy terrence d. ,bateman timothy m. ,einstein andrew j. ,kaufmann philipp a. ,miller edward j. ,sinusas albert j. ,azadani peyman n. ,gransar heidi ,tamarappoo balaji k. ,dey damini ,berman daniel s. ,germano guido
منبع journal of nuclear cardiology - 2020 - دوره : 27 - شماره : 3 - صفحه:1010 -1021
چکیده    We aim to establish a multicenter registry collecting clinical, imaging, and follow-up data for patients who undergo myocardial perfusion imaging (mpi) with the latest generation spect scanners. refine spect (registry of fast myocardial perfusion imaging with next generation spect) uses a collaborative design with multicenter contribution of clinical data and images into a comprehensive clinical-imaging database. all images are processed by quantitative software. over 290 individual imaging variables are automatically extracted from each image dataset and merged with clinical variables. in the prognostic cohort, patient follow-up is performed for major adverse cardiac events. in the diagnostic cohort (patients with correlating invasive angiography), angiography and revascularization results within 6 months are obtained. to date, collected prognostic data include scans from 20,418 patients in 5 centers (57% male, 64.0 ± 12.1 years) who underwent exercise (48%) or pharmacologic stress (52%). diagnostic data include 2079 patients in 9 centers (67% male, 64.7 ± 11.2 years) who underwent exercise (39%) or pharmacologic stress (61%). the refine spect registry will provide a resource for collaborative projects related to the latest generation spect-mpi. it will aid in the development of new artificial intelligence tools for automated diagnosis and prediction of prognostic outcomes.
کلیدواژه spect ,high-efficiency spect ,myocardial perfusion imaging ,coronary artery disease ,machine learning ,artificial intelligence ,quantitative analysis
آدرس cedars-sinai medical center, department of imaging (division of nuclear medicine), usa, cedars-sinai medical center, department of imaging (division of nuclear medicine), usa, cedars-sinai medical center, department of imaging (division of nuclear medicine), usa, cedars-sinai medical center, department of imaging (division of nuclear medicine), usa, cedars-sinai medical center, department of imaging (division of nuclear medicine), usa. taipei veterans general hospital, department of nuclear medicine, taiwan, assuta medical centers, department of nuclear cardiology, israel. ben gurion university of the negev, israel, brigham and women’s hospital, division of nuclear medicine and molecular imaging, department of radiology, usa, brigham and women’s hospital, division of nuclear medicine and molecular imaging, department of radiology, usa, sacred heart medical center, oregon heart and vascular institute, usa, university of ottawa heart institute, division of cardiology, canada, cardiovascular imaging technologies llc, usa, columbia university irving medical center and new york-presbyterian hospital, division of cardiology, department of medicine, and department of radiology, usa, university hospital zurich, department of nuclear medicine, switzerland, yale university school of medicine, section of cardiovascular medicine, department of internal medicine, usa, yale university school of medicine, section of cardiovascular medicine, department of internal medicine, usa, cedars-sinai medical center, department of imaging (division of nuclear medicine), usa, cedars-sinai medical center, department of imaging (division of nuclear medicine), usa, cedars-sinai medical center, department of imaging (division of nuclear medicine), usa, cedars-sinai medical center, department of imaging (division of nuclear medicine), usa, cedars-sinai medical center, department of imaging (division of nuclear medicine), usa, cedars-sinai medical center, department of imaging (division of nuclear medicine), usa
 
     
   
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