Predicting local tumour progression after ablation for colorectal liver metastases: CT-based radiomics of the ablation zone

• Published in: European journal of radiology 2021-08, Vol.141, p.109773-109773, Article 109773
• Main Authors: Staal, F.C.R., Taghavi, M., van der Reijd, D.J., Gomez, F.M., Imani, F., Klompenhouwer, E.G., Meek, D., Roberti, S., de Boer, M., Lambregts, D.M.J., Beets-Tan, R.G.H., Maas, M.
• Format: Article
• Language: English
• Subjects: Ablation techniques; Colorectal neoplasms; Liver; Local; Neoplasm metastasis; Neoplasm recurrence; Radiofrequency ablation; Tomography; X-ray computed
• ISSN: 0720-048X; 1872-7727
• DOI: 10.1016/j.ejrad.2021.109773

To assess whether CT-based radiomics of the ablation zone (AZ) can predict local tumour progression (LTP) after thermal ablation for colorectal liver metastases (CRLM). Eighty-two patients with 127 CRLM were included. Radiomics features (with different filters) were extracted from the AZ and a 10 mm periablational rim (PAR)on portal-venous-phase CT up to 8 weeks after ablation. Multivariable stepwise Cox regression analyses were used to predict LTP based on clinical and radiomics features. Performance (concordance [c]-statistics) of the different models was compared and performance in an ‘independent’ dataset was approximated with bootstrapped leave-one-out-cross-validation (LOOCV). Thirty-three lesions (26 %) developed LTP. Median follow-up was 21 months (range 6−115). The combined model, a combination of clinical and radiomics features, included chemotherapy (HR 0.50, p = 0.024), cT-stage (HR 10.13, p = 0.016), lesion size (HR 1.11, p =