Literature DB >> 31222530

Head-to-head comparison of diagnostic accuracy of stress-only myocardial perfusion imaging with conventional and cadmium-zinc telluride single-photon emission computed tomography in women with suspected coronary artery disease.

Teresa Mannarino1, Roberta Assante1, Carlo Ricciardi1, Emilia Zampella1, Carmela Nappi1, Valeria Gaudieri1, Ciro Gabriele Mainolfi1, Eugenio Di Vaia1, Mario Petretta2, Mario Cesarelli3, Alberto Cuocolo1, Wanda Acampa4,5.   

Abstract

BACKGROUND: Breast attenuation may impact the diagnostic accuracy of stress myocardial perfusion imaging (MPI) with single-photon emission computed tomography (SPECT). We compared the performance of conventional (C)-SPECT and cadmium-zinc-telluride (CZT)-SPECT systems in women with low-intermediate likelihood of coronary artery disease (CAD). METHODS AND
RESULTS: A total of 109 consecutive women underwent stress-optional rest MPI by both C-SPECT and CZT-SPECT. In the overall study population, a weak albeit significant correlation between total perfusion defect (TPD) measured by C-SPECT and CZT-SPECT was observed (r = 0.38, P < .001) and at Bland-Altman analysis the mean difference in TPD (C-SPECT minus CZT-SPECT) was 2.40% (P < .001). Overall concordance of semi-quantitative diagnostic performance between C-SPECT and CZT-SPECT was observed in 52 (48%) women with a κ value of 0.09. Normalcy rate was significantly higher using CZT-SPECT compared to C-SPECT (P < .001). Machine learning analysis performed through the implementation of J48 algorithm proved that CZT-SPECT has higher sensitivity, specificity, and accuracy than C-SPECT.
CONCLUSIONS: In women with low-intermediate likelihood of CAD, there is a poor concordance of diagnostic performance between C-SPECT and CZT-SPECT, and CZT-SPECT allows better normalcy rate detection compared to C-SPECT.

Entities:  

Keywords:  CAD; Diagnostic application; MPI; SPECT

Mesh:

Substances:

Year:  2019        PMID: 31222530     DOI: 10.1007/s12350-019-01789-7

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN: 1071-3581            Impact factor:   5.952


  2 in total

1.  A new algorithm for the quantitation of myocardial perfusion SPECT. I: technical principles and reproducibility.

Authors:  G Germano; P B Kavanagh; P Waechter; J Areeda; S Van Kriekinge; T Sharir; H C Lewin; D S Berman
Journal:  J Nucl Med       Date:  2000-04       Impact factor: 10.057

2.  Automatic quantification of myocardial perfusion stress-rest change: a new measure of ischemia.

Authors:  Piotr J Slomka; Hidetaka Nishina; Daniel S Berman; Xingping Kang; John D Friedman; Sean W Hayes; Usaf E Aladl; Guido Germano
Journal:  J Nucl Med       Date:  2004-02       Impact factor: 10.057

  2 in total
  4 in total

1.  MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study.

Authors:  Arnaldo Stanzione; Carlo Ricciardi; Renato Cuocolo; Valeria Romeo; Jessica Petrone; Michela Sarnataro; Pier Paolo Mainenti; Giovanni Improta; Filippo De Rosa; Luigi Insabato; Arturo Brunetti; Simone Maurea
Journal:  J Digit Imaging       Date:  2020-08       Impact factor: 4.056

2.  Beyond equality, women require extra care in cardiovascular imaging.

Authors:  Laura Evangelista; Samia Massalha; Alberto Cuocolo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-08-13       Impact factor: 10.057

3.  Diagnostic analysis of new quantitative parameters of low-dose dynamic myocardial perfusion imaging with CZT SPECT in the detection of suspected or known coronary artery disease.

Authors:  Zekun Pang; Jiao Wang; Shuai Li; Yue Chen; Xiaojie Wang; Jianming Li
Journal:  Int J Cardiovasc Imaging       Date:  2020-09-10       Impact factor: 2.357

4.  Comparing the Prognostic Value of Stress Myocardial Perfusion Imaging by Conventional and Cadmium-Zinc Telluride Single-Photon Emission Computed Tomography through a Machine Learning Approach.

Authors:  Valeria Cantoni; Roberta Green; Carlo Ricciardi; Roberta Assante; Leandro Donisi; Emilia Zampella; Giuseppe Cesarelli; Carmela Nappi; Vincenzo Sannino; Valeria Gaudieri; Teresa Mannarino; Andrea Genova; Giovanni De Simini; Alessia Giordano; Adriana D'Antonio; Wanda Acampa; Mario Petretta; Alberto Cuocolo
Journal:  Comput Math Methods Med       Date:  2021-10-16       Impact factor: 2.238

  4 in total

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