Identifying high-risk colon cancer on CT an a radiomics signature improve radiologist's performance for T staging?

Eun Kyoung Hong*, Zuhir Bodalal, Federica Landolfi, Nino Bogveradze, Paula Bos, Sae Jin Park, Jeong Min Lee, Regina Beets-Tan

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

PURPOSE: To assess the role of radiomics in detection of high-risk (pT3-4) colon cancer and develop a combined model that combines both radiomics and CT staging of colon cancer.

METHODS: We included 292 colon cancer patients who underwent pre-operative CT and primary surgical resection within 2 months. Three-dimensional segmentations and CT staging of primary colon tumors were done. From each 3D segmentation of colon tumor, radiomic features were automatically extracted. Logistic regression analysis was performed to identify associations between radiomic features and high-risk (pT3-4) colon tumors. A combined model that integrated both radiomics and CT staging was developed and their diagnostic performance was compared with that of conventional CT staging. Tenfold cross-validation was used to validate the performance of the model and CT staging.

RESULTS: The model that combined radiomic features and CT staging demonstrated a significantly better performance in detection of high-risk colon tumors in training set (AUC = 0.799, 95% CI: 0.720-0.839 for combined model and AUC = 0.697, 95% CI = 0.538-0.756 for CT staging only, p < 0.001 for difference). Cross-validation results also demonstrated significantly better detection performance of combined model (AUC = 0.727, 95% Confidence Interval (CI): 0.621-0.777 for combined model and AUC = 0.628, 95% CI = 0.558-0.689 for CT staging only, Boot CI = 0.099).

CONCLUSION: CT radiomic features of primary colon cancer, combined with CT staging, can improve the detection of high-risk colon cancer patients.

Original languageEnglish
Pages (from-to)2739-2746
Number of pages8
JournalAbdominal Radiology
Volume47
Issue number8
Early online date4 Jun 2022
DOIs
Publication statusPublished - Aug 2022

Keywords

  • ACCURACY
  • Colon cancer
  • Computed tomography
  • GI malignancy
  • NEOADJUVANT CHEMOTHERAPY
  • PHASE
  • Radiomics

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