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Improved myocardial blood flow estimation with residual activity correction and motion correction in 18F-flurpiridaz PET myocardial perfusion imaging.
Otaki, Yuka; Van Kriekinge, Serge D; Wei, Chih-Chun; Kavanagh, Paul; Singh, Ananya; Parekh, Tejas; Di Carli, Marcelo; Maddahi, Jamshid; Sitek, Arkadiusz; Buckley, Christopher; Berman, Daniel S; Slomka, Piotr J.
Afiliação
  • Otaki Y; Department of Medicine (Division of Artificial Intelligence)- Imaging- and Biomedical Sciences- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Van Kriekinge SD; Department of Medicine (Division of Artificial Intelligence)- Imaging- and Biomedical Sciences- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Wei CC; Department of Medicine (Division of Artificial Intelligence)- Imaging- and Biomedical Sciences- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Kavanagh P; Department of Medicine (Division of Artificial Intelligence)- Imaging- and Biomedical Sciences- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Singh A; Department of Medicine (Division of Artificial Intelligence)- Imaging- and Biomedical Sciences- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Parekh T; Department of Medicine (Division of Artificial Intelligence)- Imaging- and Biomedical Sciences- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Di Carli M; Cardiovascular Imaging Program, Departments of Medicine and Radiology and Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
  • Maddahi J; Division of Nuclear Medicine, Department of Molecular and Medical Pharmacology and Division of Cardiology, Department of Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
  • Sitek A; Sano Centre for Computational Medicine, Cracow, Malopolskie, Poland.
  • Buckley C; GE Healthcare, Pharmaceutical Diagnostics, Buckinghamshire, UK.
  • Berman DS; Department of Medicine (Division of Artificial Intelligence)- Imaging- and Biomedical Sciences- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Slomka PJ; Department of Medicine (Division of Artificial Intelligence)- Imaging- and Biomedical Sciences- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA. Piotr.Slomka@cshs.org.
Eur J Nucl Med Mol Imaging ; 49(6): 1881-1893, 2022 05.
Article em En | MEDLINE | ID: mdl-34967914
ABSTRACT

PURPOSE:

We sought to evaluate the diagnostic performance for coronary artery disease (CAD) of myocardial blood flow (MBF) quantification with 18F-flurpiridaz PET using motion correction (MC) and residual activity correction (RAC).

METHODS:

In total, 231 patients undergoing same-day pharmacologic rest and stress 18F-flurpiridaz PET from Phase III Flurpiridaz trial (NCT01347710) were studied. Frame-by-frame MC was performed and RAC was accomplished by subtracting the rest residual counts from the dynamic stress polar maps. MBF and myocardial flow reserve (MFR) were derived with a two-compartment early kinetic model for the entire left ventricle (global), each coronary territory, and 17-segment. Global and minimal values of three territorial (minimal vessel) and segmental estimation (minimal segment) of stress MBF and MFR were evaluated in the prediction of CAD. MBF and MFR were evaluated with and without MC and RAC (1 no MC/no RAC, 2 no MC/RAC, 3 MC/RAC).

RESULTS:

The area-under the receiver operating characteristics curve (AUC [95% confidence interval]) of stress MBF with MC/RAC was higher for minimal segment (0.89 [0.85-0.94]) than for minimal vessel (0.86 [0.81-0.92], p = 0.03) or global estimation (0.81 [0.75-0.87], p < 0.0001). The AUC of MFR with MC/RAC was higher for minimal segment (0.87 [0.81-0.93]) than for minimal vessel (0.83 [0.76-0.90], p = 0.014) or global estimation (0.77 [0.69-0.84], p < 0.0001). The AUCs of minimal segment stress MBF and MFR with MC/RAC were higher compared to those with no MC/RAC (p < 0.001 for both) or no MC/no RAC (p < 0.0001 for both).

CONCLUSIONS:

Minimal segment MBF or MFR estimation with MC and RAC improves the diagnostic performance for obstructive CAD compared to global assessment.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Reserva Fracionada de Fluxo Miocárdico / Imagem de Perfusão do Miocárdio Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Reserva Fracionada de Fluxo Miocárdico / Imagem de Perfusão do Miocárdio Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article