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Diagnostic evaluation of three cardiac software packages using a consecutive group of patients

PURPOSE: The aim of this study was to compare the diagnostic performance of the three software packages 4DMSPECT (4DM), Emory Cardiac Toolbox (ECTb), and Cedars Quantitative Perfusion SPECT (QPS) for quantification of myocardial perfusion scintigram (MPS) using a large group of consecutive patients....

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Autores principales: Johansson, Lena, Lomsky, Milan, Marving, Jens, Ohlsson, Mattias, Svensson, Sven-Eric, Edenbrandt, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3250995/
https://www.ncbi.nlm.nih.gov/pubmed/22214226
http://dx.doi.org/10.1186/2191-219X-1-22
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author Johansson, Lena
Lomsky, Milan
Marving, Jens
Ohlsson, Mattias
Svensson, Sven-Eric
Edenbrandt, Lars
author_facet Johansson, Lena
Lomsky, Milan
Marving, Jens
Ohlsson, Mattias
Svensson, Sven-Eric
Edenbrandt, Lars
author_sort Johansson, Lena
collection PubMed
description PURPOSE: The aim of this study was to compare the diagnostic performance of the three software packages 4DMSPECT (4DM), Emory Cardiac Toolbox (ECTb), and Cedars Quantitative Perfusion SPECT (QPS) for quantification of myocardial perfusion scintigram (MPS) using a large group of consecutive patients. METHODS: We studied 1,052 consecutive patients who underwent 2-day stress/rest 99mTc-sestamibi MPS studies. The reference/gold-standard classifications for the MPS studies were obtained from three physicians, with more than 25 years each of experience in nuclear cardiology, who re-evaluated all MPS images. Automatic processing was carried out using 4DM, ECTb, and QPS software packages. Total stress defect extent (TDE) and summed stress score (SSS) based on a 17-segment model were obtained from the software packages. Receiver-operating characteristic (ROC) analysis was performed. RESULTS: A total of 734 patients were classified as normal and the remaining 318 were classified as having infarction and/or ischemia. The performance of the software packages calculated as the area under the SSS ROC curve were 0.87 for 4DM, 0.80 for QPS, and 0.76 for ECTb (QPS vs. ECTb p = 0.03; other differences p < 0.0001). The area under the TDE ROC curve were 0.87 for 4DM, 0.82 for QPS, and 0.76 for ECTb (QPS vs. ECTb p = 0.0005; other differences p < 0.0001). CONCLUSION: There are considerable differences in performance between the three software packages with 4DM showing the best performance and ECTb the worst. These differences in performance should be taken in consideration when software packages are used in clinical routine or in clinical studies.
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spelling pubmed-32509952012-02-03 Diagnostic evaluation of three cardiac software packages using a consecutive group of patients Johansson, Lena Lomsky, Milan Marving, Jens Ohlsson, Mattias Svensson, Sven-Eric Edenbrandt, Lars EJNMMI Res Original Research PURPOSE: The aim of this study was to compare the diagnostic performance of the three software packages 4DMSPECT (4DM), Emory Cardiac Toolbox (ECTb), and Cedars Quantitative Perfusion SPECT (QPS) for quantification of myocardial perfusion scintigram (MPS) using a large group of consecutive patients. METHODS: We studied 1,052 consecutive patients who underwent 2-day stress/rest 99mTc-sestamibi MPS studies. The reference/gold-standard classifications for the MPS studies were obtained from three physicians, with more than 25 years each of experience in nuclear cardiology, who re-evaluated all MPS images. Automatic processing was carried out using 4DM, ECTb, and QPS software packages. Total stress defect extent (TDE) and summed stress score (SSS) based on a 17-segment model were obtained from the software packages. Receiver-operating characteristic (ROC) analysis was performed. RESULTS: A total of 734 patients were classified as normal and the remaining 318 were classified as having infarction and/or ischemia. The performance of the software packages calculated as the area under the SSS ROC curve were 0.87 for 4DM, 0.80 for QPS, and 0.76 for ECTb (QPS vs. ECTb p = 0.03; other differences p < 0.0001). The area under the TDE ROC curve were 0.87 for 4DM, 0.82 for QPS, and 0.76 for ECTb (QPS vs. ECTb p = 0.0005; other differences p < 0.0001). CONCLUSION: There are considerable differences in performance between the three software packages with 4DM showing the best performance and ECTb the worst. These differences in performance should be taken in consideration when software packages are used in clinical routine or in clinical studies. Springer 2011-09-30 /pmc/articles/PMC3250995/ /pubmed/22214226 http://dx.doi.org/10.1186/2191-219X-1-22 Text en Copyright © 2011 Johansson et al; licensee Springer. https://creativecommons.org/licenses/by/2.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0 (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Johansson, Lena
Lomsky, Milan
Marving, Jens
Ohlsson, Mattias
Svensson, Sven-Eric
Edenbrandt, Lars
Diagnostic evaluation of three cardiac software packages using a consecutive group of patients
title Diagnostic evaluation of three cardiac software packages using a consecutive group of patients
title_full Diagnostic evaluation of three cardiac software packages using a consecutive group of patients
title_fullStr Diagnostic evaluation of three cardiac software packages using a consecutive group of patients
title_full_unstemmed Diagnostic evaluation of three cardiac software packages using a consecutive group of patients
title_short Diagnostic evaluation of three cardiac software packages using a consecutive group of patients
title_sort diagnostic evaluation of three cardiac software packages using a consecutive group of patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3250995/
https://www.ncbi.nlm.nih.gov/pubmed/22214226
http://dx.doi.org/10.1186/2191-219X-1-22
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