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Influence of Adaptive Statistical Iterative Reconstructions on CT Radiomic Features in Oncologic Patients

Iterative reconstructions (IR) might alter radiomic features extraction. We aim to evaluate the influence of Adaptive Statistical Iterative Reconstruction-V (ASIR-V) on CT radiomic features. Patients who underwent unenhanced abdominal CT (Revolution Evo, GE Healthcare, USA) were retrospectively enro...

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Autores principales: Caruso, Damiano, Zerunian, Marta, Pucciarelli, Francesco, Bracci, Benedetta, Polici, Michela, D’Arrigo, Benedetta, Polidori, Tiziano, Guido, Gisella, Barbato, Luca, Polverari, Daniele, Benvenga, Antonella, Iannicelli, Elsa, Laghi, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229560/
https://www.ncbi.nlm.nih.gov/pubmed/34072633
http://dx.doi.org/10.3390/diagnostics11061000
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author Caruso, Damiano
Zerunian, Marta
Pucciarelli, Francesco
Bracci, Benedetta
Polici, Michela
D’Arrigo, Benedetta
Polidori, Tiziano
Guido, Gisella
Barbato, Luca
Polverari, Daniele
Benvenga, Antonella
Iannicelli, Elsa
Laghi, Andrea
author_facet Caruso, Damiano
Zerunian, Marta
Pucciarelli, Francesco
Bracci, Benedetta
Polici, Michela
D’Arrigo, Benedetta
Polidori, Tiziano
Guido, Gisella
Barbato, Luca
Polverari, Daniele
Benvenga, Antonella
Iannicelli, Elsa
Laghi, Andrea
author_sort Caruso, Damiano
collection PubMed
description Iterative reconstructions (IR) might alter radiomic features extraction. We aim to evaluate the influence of Adaptive Statistical Iterative Reconstruction-V (ASIR-V) on CT radiomic features. Patients who underwent unenhanced abdominal CT (Revolution Evo, GE Healthcare, USA) were retrospectively enrolled. Raw data of filtered-back projection (FBP) were reconstructed with 10 levels of ASIR-V (10–100%). CT texture analysis (CTTA) of liver, kidney, spleen and paravertebral muscle for all datasets was performed. Six radiomic features (mean intensity, standard deviation (SD), entropy, mean of positive pixel (MPP), skewness, kurtosis) were extracted and compared between FBP and all ASIR-V levels, with and without altering the spatial scale filter (SSF). CTTA of all organs revealed significant differences between FBP and all ASIR-V reconstructions for mean intensity, SD, entropy and MPP (all p < 0.0001), while no significant differences were observed for skewness and kurtosis between FBP and all ASIR-V reconstructions (all p > 0.05). A per-filter analysis was also performed comparing FBP with all ASIR-V reconstructions for all six SSF separately (SSF0-SSF6). Results showed significant differences between FBP and all ASIR-V reconstruction levels for mean intensity, SD, and MPP (all filters p < 0.0315). Skewness and kurtosis showed no differences for all comparisons performed (all p > 0.05). The application of incremental ASIR-V levels affects CTTA across various filters. Skewness and kurtosis are not affected by IR and may be reliable quantitative parameters for radiomic analysis.
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spelling pubmed-82295602021-06-26 Influence of Adaptive Statistical Iterative Reconstructions on CT Radiomic Features in Oncologic Patients Caruso, Damiano Zerunian, Marta Pucciarelli, Francesco Bracci, Benedetta Polici, Michela D’Arrigo, Benedetta Polidori, Tiziano Guido, Gisella Barbato, Luca Polverari, Daniele Benvenga, Antonella Iannicelli, Elsa Laghi, Andrea Diagnostics (Basel) Article Iterative reconstructions (IR) might alter radiomic features extraction. We aim to evaluate the influence of Adaptive Statistical Iterative Reconstruction-V (ASIR-V) on CT radiomic features. Patients who underwent unenhanced abdominal CT (Revolution Evo, GE Healthcare, USA) were retrospectively enrolled. Raw data of filtered-back projection (FBP) were reconstructed with 10 levels of ASIR-V (10–100%). CT texture analysis (CTTA) of liver, kidney, spleen and paravertebral muscle for all datasets was performed. Six radiomic features (mean intensity, standard deviation (SD), entropy, mean of positive pixel (MPP), skewness, kurtosis) were extracted and compared between FBP and all ASIR-V levels, with and without altering the spatial scale filter (SSF). CTTA of all organs revealed significant differences between FBP and all ASIR-V reconstructions for mean intensity, SD, entropy and MPP (all p < 0.0001), while no significant differences were observed for skewness and kurtosis between FBP and all ASIR-V reconstructions (all p > 0.05). A per-filter analysis was also performed comparing FBP with all ASIR-V reconstructions for all six SSF separately (SSF0-SSF6). Results showed significant differences between FBP and all ASIR-V reconstruction levels for mean intensity, SD, and MPP (all filters p < 0.0315). Skewness and kurtosis showed no differences for all comparisons performed (all p > 0.05). The application of incremental ASIR-V levels affects CTTA across various filters. Skewness and kurtosis are not affected by IR and may be reliable quantitative parameters for radiomic analysis. MDPI 2021-05-31 /pmc/articles/PMC8229560/ /pubmed/34072633 http://dx.doi.org/10.3390/diagnostics11061000 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Caruso, Damiano
Zerunian, Marta
Pucciarelli, Francesco
Bracci, Benedetta
Polici, Michela
D’Arrigo, Benedetta
Polidori, Tiziano
Guido, Gisella
Barbato, Luca
Polverari, Daniele
Benvenga, Antonella
Iannicelli, Elsa
Laghi, Andrea
Influence of Adaptive Statistical Iterative Reconstructions on CT Radiomic Features in Oncologic Patients
title Influence of Adaptive Statistical Iterative Reconstructions on CT Radiomic Features in Oncologic Patients
title_full Influence of Adaptive Statistical Iterative Reconstructions on CT Radiomic Features in Oncologic Patients
title_fullStr Influence of Adaptive Statistical Iterative Reconstructions on CT Radiomic Features in Oncologic Patients
title_full_unstemmed Influence of Adaptive Statistical Iterative Reconstructions on CT Radiomic Features in Oncologic Patients
title_short Influence of Adaptive Statistical Iterative Reconstructions on CT Radiomic Features in Oncologic Patients
title_sort influence of adaptive statistical iterative reconstructions on ct radiomic features in oncologic patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229560/
https://www.ncbi.nlm.nih.gov/pubmed/34072633
http://dx.doi.org/10.3390/diagnostics11061000
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