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Impact of non-specific normal databases on perfusion quantification of low-dose myocardial SPECT studies.
Scabbio, Camilla; Zoccarato, Orazio; Malaspina, Simona; Lucignani, Giovanni; Del Sole, Angelo; Lecchi, Michela.
Afiliação
  • Scabbio C; Health Physics, San Paolo Hospital, Milan, Italy.
  • Zoccarato O; Unit of Nuclear Medicine, I.C.S. Maugeri S.p.A. SB, Scientific Institute of Veruno IRCCS, Veruno, NO, Italy.
  • Malaspina S; Nuclear Medicine Unit, Department of Diagnostic Services, ASST Santi Paolo e Carlo, Milan, Italy.
  • Lucignani G; Nuclear Medicine Unit, Department of Diagnostic Services, ASST Santi Paolo e Carlo, Milan, Italy.
  • Del Sole A; Department of Health Sciences, University of Milan, Milan, Italy.
  • Lecchi M; Nuclear Medicine Unit, Department of Diagnostic Services, ASST Santi Paolo e Carlo, Milan, Italy. angelo.delsole@unimi.it.
J Nucl Cardiol ; 26(3): 775-785, 2019 06.
Article em En | MEDLINE | ID: mdl-29043555
AIM: To evaluate the impact of non-specific normal databases on the percent summed rest score (SR%) and stress score (SS%) from simulated low-dose SPECT studies by shortening the acquisition time/projection. METHODS: Forty normal-weight and 40 overweight/obese patients underwent myocardial studies with a conventional gamma-camera (BrightView, Philips) using three different acquisition times/projection: 30, 15, and 8 s (100%-counts, 50%-counts, and 25%-counts scan, respectively) and reconstructed using the iterative algorithm with resolution recovery (IRR) AstonishTM (Philips). Three sets of normal databases were used: (1) full-counts IRR; (2) half-counts IRR; and (3) full-counts traditional reconstruction algorithm database (TRAD). The impact of these databases and the acquired count statistics on the SR% and SS% was assessed by ANOVA analysis and Tukey test (P < 0.05). RESULTS: Significantly higher SR% and SS% values (> 40%) were found for the full-counts TRAD databases respect to the IRR databases. For overweight/obese patients, significantly higher SS% values for 25%-counts scans (+19%) are confirmed compared to those of 50%-counts scan, independently of using the half-counts or the full-counts IRR databases. CONCLUSIONS: AstonishTM requires the adoption of the own specific normal databases in order to prevent very high overestimation of both stress and rest perfusion scores. Conversely, the count statistics of the normal databases seems not to influence the quantification scores.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Tomografia Computadorizada de Emissão de Fóton Único / Imagem de Perfusão do Miocárdio Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Tomografia Computadorizada de Emissão de Fóton Único / Imagem de Perfusão do Miocárdio Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article