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European Radiology
Published in: European Radiology 11/2021

01-11-2021 | Computed Tomography | Imaging Informatics and Artificial Intelligence

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

Authors: Heejin Bae, Hansang Lee, Sungwon Kim, Kyunghwa Han, Hyungjin Rhee, Dong-kyu Kim, Hyuk Kwon, Helen Hong, Joon Seok Lim

Published in: European Radiology | Issue 11/2021

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Abstract

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.
Appendix
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Metadata
Title
Radiomics analysis of contrast-enhanced CT for classification of hepatic focal lesions in colorectal cancer patients: its limitations compared to radiologists
Authors
Heejin Bae
Hansang Lee
Sungwon Kim
Kyunghwa Han
Hyungjin Rhee
Dong-kyu Kim
Hyuk Kwon
Helen Hong
Joon Seok Lim
Publication date
01-11-2021
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 11/2021
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-021-07877-y

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