Radiomic feature profiles to define treatment response in rectal cancer: not just a tumour matter
Author Block: A. Marhuenda1, A. Nogue1, M. Domingo Pomar1, I. Machado1, R. Garcia Figueiras2, F. Bellvis1, A. Fuster Matanzo1, A. Jimenez-Pastor1, A. Alberich-Bayarri1; 1Valencia/ES, 2Santiago de Compostela/ES
Purpose: In rectal cancer (RC), predicting response to specific treatments is essential for defining appropriate therapeutic strategies. Moreover, the involvement of peritumoral regions and/or the presence of certain histopathological conditions are associated with poor outcomes. The project aimed to assess whether radiomics may help stratify patients at baseline based on treatment response and involvement of peritumoural regions.
Methods or Background: A retrospective, single-centre study was conducted. Baseline T2W MRIs of RC patients receiving neoadjuvant treatment (NT) and surgery were included. Manual delineation of seven labels was performed: tumour, extramural venous invasion (EMVI), tumoural deposits (TD), lymph nodes (LN) including intra- and extra- mesorectum nodes, peritumoural wall (PW), mesorectum fat, and presacral space (PS). Radiomic features were extracted for each segmentation, and four models were evaluated: tumour [model 1], tumour surroundings (EMVI, TD, LN, and mesorectum) [model 2], model 1 plus model 2 [model 3], and model 3 with PW and PS [model 4]. Univariate and multivariate (logistic regression) analyses were performed.
Results or Findings: A total of 50 RC patients who received any type of NT and underwent surgery were included. In the univariate analysis, the greatest differences between responders and non-responders were found in model 4. Statistical differences (p < 0.05) were noted in four radiomic features—Kurtosis, GLRLM Run Entropy, NGTDM_Busyness and NGTDM_Strength. In the multivariate analysis, model 4 outperformed the other models, with an AUC of 0.787.
Conclusion: Radiomic features could assist oncologists in therapeutic decision-making by predicting treatment responses. Segmentations including tumour and peritumoral regions provide more solid results. This highlights the relevance of a more holistic approach that would simplify segmentation´s tasks. Further studies with larger sample sizes are required.
Limitations: The limitations of the study are basically focused on the reduced number of patients.
Funding for this study: No funding was provided for this study.
Has your study been approved by an ethics committee? Yes
Ethics committee - additional information: The study was approved by 2018-27.