768 The Role of MRI Texture Analysis in Predicting Outcomes in Locally Advanced Rectal Cancer After Chemoradiotherapy. (4th May 2021)

• Record Type: Journal Article
• Authors: Alrahawy, M; Aker, M; Zeinaldin, A; Arulampalam, T
• Is Part Of: British journal of surgery. Volume 108(2021)Supplement 2
• Publication Date: 2021-05-04
• Subjects: Surgery -- Periodicals; 617.005
• DOI: 10.1093/bjs/znab134.024
• Languages: English
• ISSNs: 0007-1323

Abstract

Abstract: Background: Locally advanced rectal cancer (LARC) is treated by neoadjuvant chemoradiotherapy(NCRT) followed by surgery after restaging by magnetic resonance imaging(MRI). Texture analysis(TA) is a novel imaging biomarker that can assess heterogeneity in MRIs. This study hypothesizes that TA has the ability to predict the complete response(CR), survival, local recurrence, and distant metastasis. Method: This is a retrospective analysis of all patients diagnosed with LARC who received NCRT and who have had MRI scans. Six parameters were systematically extracted from Textural histograms of post-treatment scans. Correlation between TA and CR was tested. These parameters were then examined to determine their ability in predicting local recurrence, distant metastases, and survival by means of Kaplan-Meier survival curves and log-rank tests. Results: Four out of the six parameters extracted significantly identified CR. Utilising the same cut-off values across all parameters, three parameters significantly predicted local recurrence: Entropy(p = 0.033), mean of positive pixels(MPP)(p = 0.045), and Skewness(p = 0.018). Four parameters significantly predicted distant metastases: SD(p = 0.015), entropy(p = 0.017), MPP(p = 0.005), and skewness (p < 0.001). Four texture parameters significantly predicted survival: SD(p = 0.002), entropy(p = 0.001), MPP(p < 0.001), and skewness(p = 0.017). Conclusions: MRI textural features are potentially significant imaging biomarkers in predicting survival, local recurrence, or liver metastases in LARC.