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Radiomics analysis of contrast-enhanced CT for classification of hepatic focal lesions in colorectal cancer patients: its limitations compared to radiologists

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dc.contributor.author김동규-
dc.contributor.author김성원-
dc.contributor.author배희진-
dc.contributor.author이형진-
dc.contributor.author임준석-
dc.date.accessioned2021-12-28T17:13:56Z-
dc.date.available2021-12-28T17:13:56Z-
dc.date.issued2021-11-
dc.identifier.issn0938-7994-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/186996-
dc.description.abstractObjective: To evaluate diagnostic performance of a radiomics model for classifying hepatic cyst, hemangioma, and metastasis in patients with colorectal cancer (CRC) from portal-phase abdominopelvic CT images. Methods: This retrospective study included 502 CRC patients who underwent contrast-enhanced CT and contrast-enhanced liver MRI between January 2005 and December 2010. Portal-phase CT images of training (n = 386) and validation (n = 116) cohorts were used to develop a radiomics model for differentiating three classes of liver lesions. Among multiple handcrafted features, the feature selection was performed using ReliefF method, and random forest classifiers were used to train the selected features. Diagnostic performance of the developed model was compared with that of four radiologists. A subgroup analysis was conducted based on lesion size. Results: The radiomics model demonstrated significantly lower overall and hemangioma- and metastasis-specific polytomous discrimination index (PDI) (overall, 0.8037; hemangioma-specific, 0.6653; metastasis-specific, 0.8027) than the radiologists (overall, 0.9622-0.9680; hemangioma-specific, 0.9452-0.9630; metastasis-specific, 0.9511-0.9869). For subgroup analysis, the PDI of the radiomics model was different according to the lesion size (< 10 mm, 0.6486; ≥ 10 mm, 0.8264) while that of the radiologists was relatively maintained. For classifying metastasis from benign lesions, the radiomics model showed excellent diagnostic performance, with an accuracy of 84.36% and an AUC of 0.9426. Conclusion: Albeit inferior to the radiologists, the radiomics model achieved substantial diagnostic performance when differentiating hepatic lesions from portal-phase CT images of CRC patients. This model was limited particularly to classifying hemangiomas and subcentimeter lesions. Key points: • Albeit inferior to the radiologists, the radiomics model could differentiate cyst, hemangioma, and metastasis with substantial diagnostic performance using portal-phase CT images of colorectal cancer patients. • The radiomics model demonstrated limitations especially in classifying hemangiomas and subcentimeter liver lesions.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherSpringer International-
dc.relation.isPartOfEUROPEAN RADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHColorectal Neoplasms* / diagnostic imaging-
dc.subject.MESHHumans-
dc.subject.MESHMagnetic Resonance Imaging*-
dc.subject.MESHRadiologists-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHTomography, X-Ray Computed-
dc.titleRadiomics analysis of contrast-enhanced CT for classification of hepatic focal lesions in colorectal cancer patients: its limitations compared to radiologists-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Surgery (외과학교실)-
dc.contributor.googleauthorHeejin Bae-
dc.contributor.googleauthorHansang Lee-
dc.contributor.googleauthorSungwon Kim-
dc.contributor.googleauthorKyunghwa Han-
dc.contributor.googleauthorHyungjin Rhee-
dc.contributor.googleauthorDong-Kyu Kim-
dc.contributor.googleauthorHyuk Kwon-
dc.contributor.googleauthorHelen Hong-
dc.contributor.googleauthorJoon Seok Lim-
dc.identifier.doi10.1007/s00330-021-07877-y-
dc.contributor.localIdA05538-
dc.contributor.localIdA05309-
dc.contributor.localIdA05346-
dc.contributor.localIdA05171-
dc.contributor.localIdA03408-
dc.relation.journalcodeJ00851-
dc.identifier.eissn1432-1084-
dc.identifier.pmid33970307-
dc.identifier.urlhttps://link.springer.com/article/10.1007%2Fs00330-021-07877-y-
dc.subject.keywordClassification-
dc.subject.keywordColorectal cancer-
dc.subject.keywordLiver neoplasms-
dc.subject.keywordMultidetector computed tomography-
dc.subject.keywordRadiomics-
dc.contributor.alternativeNameKim, Dong Kyu-
dc.contributor.affiliatedAuthor김동규-
dc.contributor.affiliatedAuthor김성원-
dc.contributor.affiliatedAuthor배희진-
dc.contributor.affiliatedAuthor이형진-
dc.contributor.affiliatedAuthor임준석-
dc.citation.volume31-
dc.citation.number11-
dc.citation.startPage8786-
dc.citation.endPage8796-
dc.identifier.bibliographicCitationEUROPEAN RADIOLOGY, Vol.31(11) : 8786-8796, 2021-11-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers

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