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Assessment of Image Quality and Lesion Detectability With Digital PET/CT System
Purpose: The aim of this study was to assess image quality and lesion detectability acquired with a digital Positron Emission Tomography/Computed Tomography (PET/CT) Siemens Biograph Vision 600 system. Material and Methods: Consecutive patients who underwent a FDG PET/CT during the first week of use...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7937710/ https://www.ncbi.nlm.nih.gov/pubmed/33693016 http://dx.doi.org/10.3389/fmed.2021.629096 |
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author | Delcroix, Olivier Bourhis, David Keromnes, Nathalie Robin, Philippe Le Roux, Pierre-Yves Abgral, Ronan Salaun, Pierre-Yves Querellou, Solène |
author_facet | Delcroix, Olivier Bourhis, David Keromnes, Nathalie Robin, Philippe Le Roux, Pierre-Yves Abgral, Ronan Salaun, Pierre-Yves Querellou, Solène |
author_sort | Delcroix, Olivier |
collection | PubMed |
description | Purpose: The aim of this study was to assess image quality and lesion detectability acquired with a digital Positron Emission Tomography/Computed Tomography (PET/CT) Siemens Biograph Vision 600 system. Material and Methods: Consecutive patients who underwent a FDG PET/CT during the first week of use of a digital PET/CT (Siemens Biograph Vision 600) at the nuclear medicine department of the university hospital of Brest were analyzed. PET were realized using list mode acquisition. For all patients, 4 datasets were reconstructed. We determined, according to phantom measurements, an equivalent time acquisition/reconstruction parameters pair of the digital PET/CT corresponding to an analog PET/CT image quality (“analog-like”) as reference dataset. We compared the reference dataset with 3 others digital PET/CT reconstruction parameters, allowing a decrease of emission duration: 60, 90, and 120 s per bed position. Three nuclear medicine physicians evaluated independently, for each dataset, overall image quality [Maximal Intensity Projection (MIP), noise, sharpness] using a 4-point scale. Physicians assessed also lesion detection capability by reporting new visible lesions on each digital datasets with their confidence level in comparison with analog-like dataset. Results: Ninety-eight patients were analyzed. Image quality of MIP (IQ(MIP)), sharpness (IQ(SHARPNESS)), and noise (IQ(NOISE)) of all digital datasets (60, 90, and 120 s) were better than those evaluated with analog-like reconstruction. Moreover, digital PET/CT system improved IQ(MIP), IQ(NOISE), and IQ(SHARPNESS) whatever the BMI. Lesion detection capability and confidence level were higher for 60, 90, 120 s per bed position, respectively, than for analog-like images. Conclusion: Our study demonstrated an improvement of image quality and lesion detectability with a digital PET/CT system. |
format | Online Article Text |
id | pubmed-7937710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79377102021-03-09 Assessment of Image Quality and Lesion Detectability With Digital PET/CT System Delcroix, Olivier Bourhis, David Keromnes, Nathalie Robin, Philippe Le Roux, Pierre-Yves Abgral, Ronan Salaun, Pierre-Yves Querellou, Solène Front Med (Lausanne) Medicine Purpose: The aim of this study was to assess image quality and lesion detectability acquired with a digital Positron Emission Tomography/Computed Tomography (PET/CT) Siemens Biograph Vision 600 system. Material and Methods: Consecutive patients who underwent a FDG PET/CT during the first week of use of a digital PET/CT (Siemens Biograph Vision 600) at the nuclear medicine department of the university hospital of Brest were analyzed. PET were realized using list mode acquisition. For all patients, 4 datasets were reconstructed. We determined, according to phantom measurements, an equivalent time acquisition/reconstruction parameters pair of the digital PET/CT corresponding to an analog PET/CT image quality (“analog-like”) as reference dataset. We compared the reference dataset with 3 others digital PET/CT reconstruction parameters, allowing a decrease of emission duration: 60, 90, and 120 s per bed position. Three nuclear medicine physicians evaluated independently, for each dataset, overall image quality [Maximal Intensity Projection (MIP), noise, sharpness] using a 4-point scale. Physicians assessed also lesion detection capability by reporting new visible lesions on each digital datasets with their confidence level in comparison with analog-like dataset. Results: Ninety-eight patients were analyzed. Image quality of MIP (IQ(MIP)), sharpness (IQ(SHARPNESS)), and noise (IQ(NOISE)) of all digital datasets (60, 90, and 120 s) were better than those evaluated with analog-like reconstruction. Moreover, digital PET/CT system improved IQ(MIP), IQ(NOISE), and IQ(SHARPNESS) whatever the BMI. Lesion detection capability and confidence level were higher for 60, 90, 120 s per bed position, respectively, than for analog-like images. Conclusion: Our study demonstrated an improvement of image quality and lesion detectability with a digital PET/CT system. Frontiers Media S.A. 2021-02-22 /pmc/articles/PMC7937710/ /pubmed/33693016 http://dx.doi.org/10.3389/fmed.2021.629096 Text en Copyright © 2021 Delcroix, Bourhis, Keromnes, Robin, Le Roux, Abgral, Salaun and Querellou. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Delcroix, Olivier Bourhis, David Keromnes, Nathalie Robin, Philippe Le Roux, Pierre-Yves Abgral, Ronan Salaun, Pierre-Yves Querellou, Solène Assessment of Image Quality and Lesion Detectability With Digital PET/CT System |
title | Assessment of Image Quality and Lesion Detectability With Digital PET/CT System |
title_full | Assessment of Image Quality and Lesion Detectability With Digital PET/CT System |
title_fullStr | Assessment of Image Quality and Lesion Detectability With Digital PET/CT System |
title_full_unstemmed | Assessment of Image Quality and Lesion Detectability With Digital PET/CT System |
title_short | Assessment of Image Quality and Lesion Detectability With Digital PET/CT System |
title_sort | assessment of image quality and lesion detectability with digital pet/ct system |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7937710/ https://www.ncbi.nlm.nih.gov/pubmed/33693016 http://dx.doi.org/10.3389/fmed.2021.629096 |
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