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The effect of time-of-flight and point spread function modeling on 82Rb myocardial perfusion imaging of obese patients.
Dasari, Paul K R; Jones, Judson P; Casey, Michael E; Liang, Yuanyuan; Dilsizian, Vasken; Smith, Mark F.
Afiliación
  • Dasari PKR; Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 22 South Greene St., Baltimore, MD, 21201, USA.
  • Jones JP; Siemens Healthineers, Knoxville, TN, USA.
  • Casey ME; Siemens Healthineers, Knoxville, TN, USA.
  • Liang Y; Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
  • Dilsizian V; Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 22 South Greene St., Baltimore, MD, 21201, USA.
  • Smith MF; Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 22 South Greene St., Baltimore, MD, 21201, USA. msmith7@umm.edu.
J Nucl Cardiol ; 25(5): 1521-1545, 2018 10.
Article en En | MEDLINE | ID: mdl-29907933
ABSTRACT

BACKGROUND:

The effect of time-of-flight (TOF) and point spread function (PSF) modeling in image reconstruction has not been well studied for cardiac PET. This study assesses their separate and combined influence on 82Rb myocardial perfusion imaging in obese patients.

METHODS:

Thirty-six obese patients underwent rest-stress 82Rb cardiac PET. Images were reconstructed with and without TOF and PSF modeling. Perfusion was quantitatively compared using the AHA 17-segment model for patients grouped by BMI, cross-sectional body area in the scanner field of view, gender, and left ventricular myocardial volume. Summed rest scores (SRS), summed stress scores (SSS), and summed difference scores (SDS) were compared.

RESULTS:

TOF improved polar map visual uniformity and increased septal wall perfusion by up to 10%. This increase was greater for larger patients, more evident for patients grouped by cross-sectional area than by BMI, and more prominent for females. PSF modeling increased perfusion by about 1.5% in all cardiac segments. TOF modeling generally decreased SRS and SSS with significant decreases between 2.4 and 3.0 (P < .05), which could affect risk stratification; SDS remained about the same. With PSF modeling, SRS, SSS, and SDS were largely unchanged.

CONCLUSION:

TOF and PSF modeling affect regional and global perfusion, SRS, and SSS. Clinicians should consider these effects and gender-dependent differences when interpreting 82Rb perfusion studies.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Tomografía de Emisión de Positrones / Imagen de Perfusión Miocárdica / Obesidad Tipo de estudio: Prognostic_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Nucl Cardiol Asunto de la revista: CARDIOLOGIA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Tomografía de Emisión de Positrones / Imagen de Perfusión Miocárdica / Obesidad Tipo de estudio: Prognostic_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Nucl Cardiol Asunto de la revista: CARDIOLOGIA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos