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Contrast-Enhanced CT Texture Analysis in Colon Cancer: Correlation with Genetic Markers
Background: The purpose of the study was to determine whether contrast-enhanced CT texture features relate to, and can predict, the presence of specific genetic mutations involved in CRC carcinogenesis. Materials and methods: This retrospective study analyzed the pre-operative CT in the venous phase...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498512/ https://www.ncbi.nlm.nih.gov/pubmed/36136880 http://dx.doi.org/10.3390/tomography8050184 |
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author | Crimì, Filippo Zanon, Chiara Cabrelle, Giulio Luong, Kim Duyen Albertoni, Laura Bao, Quoc Riccardo Borsetto, Marta Baratella, Elisa Capelli, Giulia Spolverato, Gaya Fassan, Matteo Pucciarelli, Salvatore Quaia, Emilio |
author_facet | Crimì, Filippo Zanon, Chiara Cabrelle, Giulio Luong, Kim Duyen Albertoni, Laura Bao, Quoc Riccardo Borsetto, Marta Baratella, Elisa Capelli, Giulia Spolverato, Gaya Fassan, Matteo Pucciarelli, Salvatore Quaia, Emilio |
author_sort | Crimì, Filippo |
collection | PubMed |
description | Background: The purpose of the study was to determine whether contrast-enhanced CT texture features relate to, and can predict, the presence of specific genetic mutations involved in CRC carcinogenesis. Materials and methods: This retrospective study analyzed the pre-operative CT in the venous phase of patients with CRC, who underwent testing for mutations in the KRAS, NRAS, BRAF, and MSI genes. Using a specific software based on CT images of each patient, for each slice including the tumor a region of interest was manually drawn along the margin, obtaining the volume of interest. A total of 56 texture parameters were extracted that were compared between the wild-type gene group and the mutated gene group. A p-value of <0.05 was considered statistically significant. Results: The study included 47 patients with stage III-IV CRC. Statistically significant differences between the MSS group and the MSI group were found in four parameters: GLRLM RLNU (area under the curve (AUC) 0.72, sensitivity (SE) 77.8%, specificity (SP) 65.8%), GLZLM SZHGE (AUC 0.79, SE 88.9%, SP 65.8%), GLZLM GLNU (AUC 0.74, SE 88.9%, SP 60.5%), and GLZLM ZLNU (AUC 0.77, SE 88.9%, SP 65.8%). Conclusions: The findings support the potential role of the CT texture analysis in detecting MSI in CRC based on pre-treatment CT scans. |
format | Online Article Text |
id | pubmed-9498512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94985122022-09-23 Contrast-Enhanced CT Texture Analysis in Colon Cancer: Correlation with Genetic Markers Crimì, Filippo Zanon, Chiara Cabrelle, Giulio Luong, Kim Duyen Albertoni, Laura Bao, Quoc Riccardo Borsetto, Marta Baratella, Elisa Capelli, Giulia Spolverato, Gaya Fassan, Matteo Pucciarelli, Salvatore Quaia, Emilio Tomography Article Background: The purpose of the study was to determine whether contrast-enhanced CT texture features relate to, and can predict, the presence of specific genetic mutations involved in CRC carcinogenesis. Materials and methods: This retrospective study analyzed the pre-operative CT in the venous phase of patients with CRC, who underwent testing for mutations in the KRAS, NRAS, BRAF, and MSI genes. Using a specific software based on CT images of each patient, for each slice including the tumor a region of interest was manually drawn along the margin, obtaining the volume of interest. A total of 56 texture parameters were extracted that were compared between the wild-type gene group and the mutated gene group. A p-value of <0.05 was considered statistically significant. Results: The study included 47 patients with stage III-IV CRC. Statistically significant differences between the MSS group and the MSI group were found in four parameters: GLRLM RLNU (area under the curve (AUC) 0.72, sensitivity (SE) 77.8%, specificity (SP) 65.8%), GLZLM SZHGE (AUC 0.79, SE 88.9%, SP 65.8%), GLZLM GLNU (AUC 0.74, SE 88.9%, SP 60.5%), and GLZLM ZLNU (AUC 0.77, SE 88.9%, SP 65.8%). Conclusions: The findings support the potential role of the CT texture analysis in detecting MSI in CRC based on pre-treatment CT scans. MDPI 2022-08-31 /pmc/articles/PMC9498512/ /pubmed/36136880 http://dx.doi.org/10.3390/tomography8050184 Text en © 2022 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 Crimì, Filippo Zanon, Chiara Cabrelle, Giulio Luong, Kim Duyen Albertoni, Laura Bao, Quoc Riccardo Borsetto, Marta Baratella, Elisa Capelli, Giulia Spolverato, Gaya Fassan, Matteo Pucciarelli, Salvatore Quaia, Emilio Contrast-Enhanced CT Texture Analysis in Colon Cancer: Correlation with Genetic Markers |
title | Contrast-Enhanced CT Texture Analysis in Colon Cancer: Correlation with Genetic Markers |
title_full | Contrast-Enhanced CT Texture Analysis in Colon Cancer: Correlation with Genetic Markers |
title_fullStr | Contrast-Enhanced CT Texture Analysis in Colon Cancer: Correlation with Genetic Markers |
title_full_unstemmed | Contrast-Enhanced CT Texture Analysis in Colon Cancer: Correlation with Genetic Markers |
title_short | Contrast-Enhanced CT Texture Analysis in Colon Cancer: Correlation with Genetic Markers |
title_sort | contrast-enhanced ct texture analysis in colon cancer: correlation with genetic markers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498512/ https://www.ncbi.nlm.nih.gov/pubmed/36136880 http://dx.doi.org/10.3390/tomography8050184 |
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