University Health Network
University Health Network

Author of 1 Presentation

SS 5.3 - Radiomic analysis of hepatobiliary-phase primovist MRI is associated with disease-free survival in patients with surgically resectable colorectal liver metastases

Presentation Number
SS 5.3
Channel
On-demand channel 4

Abstract

Purpose

Colorectal cancer with liver metastases (CRLM) is potentially curable with surgical resection; however, clinical prognostic factors can insufficiently stratify patients. This study aims to assess whether radiomic features from CT and MRI are prognostic and can inform clinical decision-making.

Material and methods

This single-site retrospective study included 102 patients who underwent CRLM resection with pre-operative CT and MRI with gadoxetic-acid (EOB). A lasso-regularized multivariate Cox proportional hazards model was applied to 3 sets of 104 radiomic features derived from the portal-venous CT, unenhanced T1-weighted fat-suppressed (T1FS) and hepatobiliary phase (HBP) data, respectively, to determine association with disease-free survival (DFS). A prognostic index was derived using the significant Cox regression coefficients and their corresponding input features and a threshold was determined to classify patients into high- and low-risk groups, and DFS compared using log-rank tests.

Results

Two radiomic co-variates were significantly associated with DFS; minimum pixel value (MIN) (HR=1.66, p=0.00016) and small area emphasis (HR=0.62, p=0.0013) from the EOB-MRI data. Radiomic T1FS and CT features were not prognostic. The prognostic index stratified high- and low-risk prognostic groups, although this was not significant (HR 0.251, p=0.096). MIN was positively associated with delayed tumour enhancement (r= 0.77, p< 2 x 10-16).

Conclusion

Radiomic HBP primovist MRI features are associated with DFS, but not those derived from CT or T1FS data, and are partly explained by delayed tumour enhancement, likely due to post-treatment tumour fibrosis. This merits further validation for potential clinical implementation to inform patient management.

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Author of 1 Presentation

SS 5.3 - Radiomic analysis of hepatobiliary-phase primovist MRI is associated with disease-free survival in patients with surgically resectable colorectal liver metastases (ID 504)

Abstract

Purpose

Colorectal cancer with liver metastases (CRLM) is potentially curable with surgical resection; however, clinical prognostic factors can insufficiently stratify patients. This study aims to assess whether radiomic features from CT and MRI are prognostic and can inform clinical decision-making.

Material and methods

This single-site retrospective study included 102 patients who underwent CRLM resection with pre-operative CT and MRI with gadoxetic-acid (EOB). A lasso-regularized multivariate Cox proportional hazards model was applied to 3 sets of 104 radiomic features derived from the portal-venous CT, unenhanced T1-weighted fat-suppressed (T1FS) and hepatobiliary phase (HBP) data, respectively, to determine association with disease-free survival (DFS). A prognostic index was derived using the significant Cox regression coefficients and their corresponding input features and a threshold was determined to classify patients into high- and low-risk groups, and DFS compared using log-rank tests.

Results

Two radiomic co-variates were significantly associated with DFS; minimum pixel value (MIN) (HR=1.66, p=0.00016) and small area emphasis (HR=0.62, p=0.0013) from the EOB-MRI data. Radiomic T1FS and CT features were not prognostic. The prognostic index stratified high- and low-risk prognostic groups, although this was not significant (HR 0.251, p=0.096). MIN was positively associated with delayed tumour enhancement (r= 0.77, p< 2 x 10-16).

Conclusion

Radiomic HBP primovist MRI features are associated with DFS, but not those derived from CT or T1FS data, and are partly explained by delayed tumour enhancement, likely due to post-treatment tumour fibrosis. This merits further validation for potential clinical implementation to inform patient management.

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Slides

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Video-on-demand

[session]
[presentation]
[presenter]
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