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Article

Contrast-Enhanced CT Texture Analysis in Colon Cancer: Correlation with Genetic Markers

1
Institute of Radiology, Department of Medicine-DIMED, University of Padova, 35128 Padova, Italy
2
Pathology and Cytopathology Unit, Department of Medicine, University of Padova, 35128 Padua, Italy
3
General Surgery 3, Department of Surgical, Oncological, and Gastroenterological Sciences (DiSCOG), University of Padova, 35128 Padova, Italy
4
Department of Radiology, Cattinara Hospital, University of Trieste, 34127 Trieste, Italy
5
Veneto Institute of Oncology, IOV-IRCCS, 35128 Padua, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: El-Sayed H. Ibrahim
Tomography 2022, 8(5), 2193-2201; https://doi.org/10.3390/tomography8050184
Received: 29 July 2022 / Revised: 24 August 2022 / Accepted: 30 August 2022 / Published: 31 August 2022
(This article belongs to the Special Issue Tumor Diagnosis and Treatment: Imaging Assessment)
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. View Full-Text
Keywords: texture analysis; colorectal cancer; computed tomography; genetic markers; microsatellite instability; mismatch repair; KRAS; NRAS; BRAF texture analysis; colorectal cancer; computed tomography; genetic markers; microsatellite instability; mismatch repair; KRAS; NRAS; BRAF
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MDPI and ACS Style

Crimì, F.; Zanon, C.; Cabrelle, G.; Luong, K.D.; Albertoni, L.; Bao, Q.R.; Borsetto, M.; Baratella, E.; Capelli, G.; Spolverato, G.; Fassan, M.; Pucciarelli, S.; Quaia, E. Contrast-Enhanced CT Texture Analysis in Colon Cancer: Correlation with Genetic Markers. Tomography 2022, 8, 2193-2201. https://doi.org/10.3390/tomography8050184

AMA Style

Crimì F, Zanon C, Cabrelle G, Luong KD, Albertoni L, Bao QR, Borsetto M, Baratella E, Capelli G, Spolverato G, Fassan M, Pucciarelli S, Quaia E. Contrast-Enhanced CT Texture Analysis in Colon Cancer: Correlation with Genetic Markers. Tomography. 2022; 8(5):2193-2201. https://doi.org/10.3390/tomography8050184

Chicago/Turabian Style

Crimì, Filippo, Chiara Zanon, Giulio Cabrelle, Kim Duyen Luong, Laura Albertoni, Quoc Riccardo Bao, Marta Borsetto, Elisa Baratella, Giulia Capelli, Gaya Spolverato, Matteo Fassan, Salvatore Pucciarelli, and Emilio Quaia. 2022. "Contrast-Enhanced CT Texture Analysis in Colon Cancer: Correlation with Genetic Markers" Tomography 8, no. 5: 2193-2201. https://doi.org/10.3390/tomography8050184

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