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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

 Heejin Bae  ;  Hansang Lee  ;  Sungwon Kim  ;  Kyunghwa Han  ;  Hyungjin Rhee  ;  Dong-Kyu Kim  ;  Hyuk Kwon  ;  Helen Hong  ;  Joon Seok Lim 
 EUROPEAN RADIOLOGY, Vol.31(11) : 8786-8796, 2021-11 
Journal Title
Issue Date
Colorectal Neoplasms* / diagnostic imaging ; Humans ; Magnetic Resonance Imaging* ; Radiologists ; Retrospective Studies ; Tomography, X-Ray Computed
Classification ; Colorectal cancer ; Liver neoplasms ; Multidetector computed tomography ; Radiomics
Objective: 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.
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1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Dong Kyu(김동규)
Kim, Sungwon(김성원) ORCID logo https://orcid.org/0000-0001-5455-6926
Bae, Heejin(배희진) ORCID logo https://orcid.org/0000-0002-1227-8646
Rhee, Hyungjin(이형진) ORCID logo https://orcid.org/0000-0001-7759-4458
Lim, Joon Seok(임준석) ORCID logo https://orcid.org/0000-0002-0334-5042
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