Association between Texture Analysis Parameters and Molecular Biologic KRAS Mutation in Non-Mucinous Rectal Cancer

Purpose To evaluate the association between magnetic resonance imaging (MRI)-based texture parameters and Kirsten rat sarcoma viral oncogene homolog (KRAS) mutation in patients with non-mucinous rectal cancer. Materials and Methods Seventy-nine patients who had pathologically confirmed rectal non...

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Main Authors: Sung Jae Jo, Seung Ho Kim, Sang Joon Park, Yedaun Lee, Jung Hee Son
Format: Article
Language:English
Published: The Korean Society of Radiology 2021-03-01
Series:대한영상의학회지
Subjects:
Online Access:https://doi.org/10.3348/jksr.2020.0065
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author Sung Jae Jo
Seung Ho Kim
Sang Joon Park
Yedaun Lee
Jung Hee Son
author_facet Sung Jae Jo
Seung Ho Kim
Sang Joon Park
Yedaun Lee
Jung Hee Son
author_sort Sung Jae Jo
collection DOAJ
description Purpose To evaluate the association between magnetic resonance imaging (MRI)-based texture parameters and Kirsten rat sarcoma viral oncogene homolog (KRAS) mutation in patients with non-mucinous rectal cancer. Materials and Methods Seventy-nine patients who had pathologically confirmed rectal nonmucinous adenocarcinoma with or without KRAS-mutation and had undergone rectal MRI were divided into a training (n = 46) and validation dataset (n = 33). A texture analysis was performed on the axial T2-weighted images. The association was statistically analyzed using the Mann-Whitney U test. To extract an optimal cut-off value for the prediction of KRAS mutation, a receiver operating characteristic curve analysis was performed. The cut-off value was verified using the validation dataset. Results In the training dataset, skewness in the mutant group (n = 22) was significantly higher than in the wild-type group (n = 24) (0.221 ± 0.283; -0.006 ± 0.178, respectively, p = 0.003). The area under the curve of the skewness was 0.757 (95% confidence interval, 0.606 to 0.872) with a maximum accuracy of 71%, a sensitivity of 64%, and a specificity of 78%. None of the other texture parameters were associated with KRAS mutation (p > 0.05). When a cut-off value of 0.078 was applied to the validation dataset, this had an accuracy of 76%, a sensitivity of 86%, and a specificity of 68%. Conclusion Skewness was associated with KRAS mutation in patients with non-mucinous rectal cancer.
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spelling doaj.art-59fe2e5a291b497f8eb988e2ed3bffe42022-12-21T21:30:34ZengThe Korean Society of Radiology대한영상의학회지2288-29282021-03-01406416https://doi.org/10.3348/jksr.2020.0065Association between Texture Analysis Parameters and Molecular Biologic KRAS Mutation in Non-Mucinous Rectal CancerSung Jae Jo0Seung Ho Kim1Sang Joon Park2Yedaun Lee3Jung Hee Son4Department of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, KoreaDepartment of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, KoreaDepartment of Radiology, Seoul National University Hospital, Seoul, KoreaDepartment of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, KoreaDepartment of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, KoreaPurpose To evaluate the association between magnetic resonance imaging (MRI)-based texture parameters and Kirsten rat sarcoma viral oncogene homolog (KRAS) mutation in patients with non-mucinous rectal cancer. Materials and Methods Seventy-nine patients who had pathologically confirmed rectal nonmucinous adenocarcinoma with or without KRAS-mutation and had undergone rectal MRI were divided into a training (n = 46) and validation dataset (n = 33). A texture analysis was performed on the axial T2-weighted images. The association was statistically analyzed using the Mann-Whitney U test. To extract an optimal cut-off value for the prediction of KRAS mutation, a receiver operating characteristic curve analysis was performed. The cut-off value was verified using the validation dataset. Results In the training dataset, skewness in the mutant group (n = 22) was significantly higher than in the wild-type group (n = 24) (0.221 ± 0.283; -0.006 ± 0.178, respectively, p = 0.003). The area under the curve of the skewness was 0.757 (95% confidence interval, 0.606 to 0.872) with a maximum accuracy of 71%, a sensitivity of 64%, and a specificity of 78%. None of the other texture parameters were associated with KRAS mutation (p > 0.05). When a cut-off value of 0.078 was applied to the validation dataset, this had an accuracy of 76%, a sensitivity of 86%, and a specificity of 68%. Conclusion Skewness was associated with KRAS mutation in patients with non-mucinous rectal cancer.https://doi.org/10.3348/jksr.2020.0065magnetic resonance imagingrectumneoplasmcomputersoftwareoncogene
spellingShingle Sung Jae Jo
Seung Ho Kim
Sang Joon Park
Yedaun Lee
Jung Hee Son
Association between Texture Analysis Parameters and Molecular Biologic KRAS Mutation in Non-Mucinous Rectal Cancer
대한영상의학회지
magnetic resonance imaging
rectum
neoplasm
computer
software
oncogene
title Association between Texture Analysis Parameters and Molecular Biologic KRAS Mutation in Non-Mucinous Rectal Cancer
title_full Association between Texture Analysis Parameters and Molecular Biologic KRAS Mutation in Non-Mucinous Rectal Cancer
title_fullStr Association between Texture Analysis Parameters and Molecular Biologic KRAS Mutation in Non-Mucinous Rectal Cancer
title_full_unstemmed Association between Texture Analysis Parameters and Molecular Biologic KRAS Mutation in Non-Mucinous Rectal Cancer
title_short Association between Texture Analysis Parameters and Molecular Biologic KRAS Mutation in Non-Mucinous Rectal Cancer
title_sort association between texture analysis parameters and molecular biologic kras mutation in non mucinous rectal cancer
topic magnetic resonance imaging
rectum
neoplasm
computer
software
oncogene
url https://doi.org/10.3348/jksr.2020.0065
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AT sangjoonpark associationbetweentextureanalysisparametersandmolecularbiologickrasmutationinnonmucinousrectalcancer
AT yedaunlee associationbetweentextureanalysisparametersandmolecularbiologickrasmutationinnonmucinousrectalcancer
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