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A Pilot Study to Estimate the Impact of High Matrix Image Reconstruction on Chest Computed Tomography
OBJECTIVES: The objectives of the study were to estimate the impact of high matrix image reconstruction on chest computed tomography (CT) compared to standard image reconstruction. MATERIAL AND METHODS: This retrospective study included patients with interstitial or parenchymal lung disease, airway...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Scientific Scholar
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8492437/ https://www.ncbi.nlm.nih.gov/pubmed/34621597 http://dx.doi.org/10.25259/JCIS_143_2021 |
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author | Inoue, Akitoshi Johnson, Tucker F. Voss, Benjamin A. Lee, Yong S. Leng, Shuai Koo, Chi Wan McCollough, Brian D. Weaver, Jayse M. Gong, Hao Carter, Rickey E. McCollough, Cynthia H. Fletcher, Joel G. |
author_facet | Inoue, Akitoshi Johnson, Tucker F. Voss, Benjamin A. Lee, Yong S. Leng, Shuai Koo, Chi Wan McCollough, Brian D. Weaver, Jayse M. Gong, Hao Carter, Rickey E. McCollough, Cynthia H. Fletcher, Joel G. |
author_sort | Inoue, Akitoshi |
collection | PubMed |
description | OBJECTIVES: The objectives of the study were to estimate the impact of high matrix image reconstruction on chest computed tomography (CT) compared to standard image reconstruction. MATERIAL AND METHODS: This retrospective study included patients with interstitial or parenchymal lung disease, airway disease, and pulmonary nodules who underwent chest CT. Chest CT images were reconstructed using high matrix (1024 × 1024) or standard matrix (512 × 512), with all other parameters matched. Two radiologists, blinded to reconstruction technique, independently examined each lung, viewing image sets side by side and rating the conspicuity of imaging findings using a 5-point relative conspicuity scale. The presence of pulmonary nodules and confidence in classification of internal attenuation was also graded. Overall image quality and subjective noise/artifacts were assessed. RESULTS: Thirty-four patients with 68 lungs were evaluated. Relative conspicuity scores were significantly higher using high matrix image reconstruction for all imaging findings indicative of idiopathic lung fibrosis (peripheral airway visualization, interlobular septal thickening, intralobular reticular opacity, and end-stage fibrotic change; P ≤ 0.001) along with emphysema, mosaic attenuation, and fourth order bronchi for both readers (P ≤ 0.001). High matrix reconstruction did not improve confidence in the presence or classification of internal nodule attenuation for either reader. Overall image quality was increased but not subjective noise/artifacts with high matrix image reconstruction for both readers (P < 0.001). CONCLUSION: High matrix image reconstruction significantly improves the conspicuity of imaging findings reflecting interstitial lung disease and may be useful for diagnosis or treatment response assessment. |
format | Online Article Text |
id | pubmed-8492437 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Scientific Scholar |
record_format | MEDLINE/PubMed |
spelling | pubmed-84924372021-10-06 A Pilot Study to Estimate the Impact of High Matrix Image Reconstruction on Chest Computed Tomography Inoue, Akitoshi Johnson, Tucker F. Voss, Benjamin A. Lee, Yong S. Leng, Shuai Koo, Chi Wan McCollough, Brian D. Weaver, Jayse M. Gong, Hao Carter, Rickey E. McCollough, Cynthia H. Fletcher, Joel G. J Clin Imaging Sci Original Research OBJECTIVES: The objectives of the study were to estimate the impact of high matrix image reconstruction on chest computed tomography (CT) compared to standard image reconstruction. MATERIAL AND METHODS: This retrospective study included patients with interstitial or parenchymal lung disease, airway disease, and pulmonary nodules who underwent chest CT. Chest CT images were reconstructed using high matrix (1024 × 1024) or standard matrix (512 × 512), with all other parameters matched. Two radiologists, blinded to reconstruction technique, independently examined each lung, viewing image sets side by side and rating the conspicuity of imaging findings using a 5-point relative conspicuity scale. The presence of pulmonary nodules and confidence in classification of internal attenuation was also graded. Overall image quality and subjective noise/artifacts were assessed. RESULTS: Thirty-four patients with 68 lungs were evaluated. Relative conspicuity scores were significantly higher using high matrix image reconstruction for all imaging findings indicative of idiopathic lung fibrosis (peripheral airway visualization, interlobular septal thickening, intralobular reticular opacity, and end-stage fibrotic change; P ≤ 0.001) along with emphysema, mosaic attenuation, and fourth order bronchi for both readers (P ≤ 0.001). High matrix reconstruction did not improve confidence in the presence or classification of internal nodule attenuation for either reader. Overall image quality was increased but not subjective noise/artifacts with high matrix image reconstruction for both readers (P < 0.001). CONCLUSION: High matrix image reconstruction significantly improves the conspicuity of imaging findings reflecting interstitial lung disease and may be useful for diagnosis or treatment response assessment. Scientific Scholar 2021-09-30 /pmc/articles/PMC8492437/ /pubmed/34621597 http://dx.doi.org/10.25259/JCIS_143_2021 Text en © 2021 Published by Scientific Scholar on behalf of Journal of Clinical Imaging Science https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Original Research Inoue, Akitoshi Johnson, Tucker F. Voss, Benjamin A. Lee, Yong S. Leng, Shuai Koo, Chi Wan McCollough, Brian D. Weaver, Jayse M. Gong, Hao Carter, Rickey E. McCollough, Cynthia H. Fletcher, Joel G. A Pilot Study to Estimate the Impact of High Matrix Image Reconstruction on Chest Computed Tomography |
title | A Pilot Study to Estimate the Impact of High Matrix Image Reconstruction on Chest Computed Tomography |
title_full | A Pilot Study to Estimate the Impact of High Matrix Image Reconstruction on Chest Computed Tomography |
title_fullStr | A Pilot Study to Estimate the Impact of High Matrix Image Reconstruction on Chest Computed Tomography |
title_full_unstemmed | A Pilot Study to Estimate the Impact of High Matrix Image Reconstruction on Chest Computed Tomography |
title_short | A Pilot Study to Estimate the Impact of High Matrix Image Reconstruction on Chest Computed Tomography |
title_sort | pilot study to estimate the impact of high matrix image reconstruction on chest computed tomography |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8492437/ https://www.ncbi.nlm.nih.gov/pubmed/34621597 http://dx.doi.org/10.25259/JCIS_143_2021 |
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