T Mahmoudi
Differentiation between Pancreatic Ductal Adenocarcinoma and Normal Pancreatic Tissue for Treatment Response Assessment using Multi-Scale Texture Analysis of CT Images
Mahmoudi, T; Radmard, AR; Salehnia, A; Ahmadian, A; Davarpanah, AH; Kafieh, R; Arabalibeik, H
Authors
AR Radmard
A Salehnia
A Ahmadian
AH Davarpanah
Dr Raheleh Kafieh raheleh.kafieh@durham.ac.uk
Assistant Professor
H Arabalibeik
Abstract
Background: Pancreatic ductal adenocarcinoma (PDAC) is the most prevalent type of pancreas cancer with a high mortality rate and its staging is highly dependent on the extent of involvement between the tumor and surrounding vessels, facilitating treatment response assessment in PDAC. Objective: This study aims at detecting and visualizing the tumor region and the surrounding vessels in PDAC CT scan since, despite the tumors in other abdominal organs, clear detection of PDAC is highly difficult. Material and Methods: This retrospective study consists of three stages: 1) a patch-based algorithm for differentiation between tumor region and healthy tissue using multi-scale texture analysis along with L1-SVM (Support Vector Machine) classifier, 2) a voting-based approach, developed on a standard logistic function, to mitigate false detections, and 3) 3D visualization of the tumor and the surrounding vessels using ITK-SNAP software. Results: The results demonstrate that multi-scale texture analysis strikes a balance between recall and precision in tumor and healthy tissue differentiation with an overall accuracy of 0.78±0.12 and a sensitivity of 0.90±0.09 in PDAC. Conclusion: Multi-scale texture analysis using statistical and wavelet-based features along with L1-SVM can be employed to differentiate between healthy and pancreatic tissues. Besides, 3D visualization of the tumor region and surrounding vessels can facilitate the assessment of treatment response in PDAC. However, the 3D visualization software must be further developed for integrating with clinical applications.
Citation
Mahmoudi, T., Radmard, A., Salehnia, A., Ahmadian, A., Davarpanah, A., Kafieh, R., & Arabalibeik, H. (2022). Differentiation between Pancreatic Ductal Adenocarcinoma and Normal Pancreatic Tissue for Treatment Response Assessment using Multi-Scale Texture Analysis of CT Images. Journal of biomedical physics and engineering, 12(6), 655-668. https://doi.org/10.31661/jbpe.v0i0.2102-1283
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 1, 2021 |
Publication Date | 2022-12 |
Deposit Date | Jan 9, 2023 |
Publicly Available Date | Jan 9, 2023 |
Journal | Journal of Biomedical Physics and Engineering |
Electronic ISSN | 2251-7200 |
Peer Reviewed | Peer Reviewed |
Volume | 12 |
Issue | 6 |
Pages | 655-668 |
DOI | https://doi.org/10.31661/jbpe.v0i0.2102-1283 |
Public URL | https://durham-repository.worktribe.com/output/1182219 |
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Copyright Statement
© Journal of Biomedical Physics and Engineering
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 Unported License, (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted use, distribution,
and reproduction in any medium, provided the original work is properly cited.
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