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PHYSIOLOGICALLY-INSPIRED RADIOMICS OF THE RECTAL ENVIRONMENT FOR PREDICTING AND EVALUATING RESPONSE TO CHEMORADIATION IN RECTAL CANCERS

Antunes, Jacob T, Antunes
http://rave.ohiolink.edu/etdc/view?acc_num=case1607691022604843

Abstract Details

2020, Doctor of Philosophy, Case Western Reserve University, Biomedical Engineering.
Personalized interventions in ongologic applications could enable significant benefits to cancer patients by tailoring treatment based on disease phenotype and associated treatment response. Not only will such strategies yield better outcomes, but also will incur lower morbidity rates and better quality-of-life by avoiding unnecessary operations. In the context of locally advanced rectal cancer, current standard-of-care recommends surgical removal of the entire rectum and surrounding tissue after neoadjuvant chemoradiation. However, a significant proportion of rectal cancer patients exhibit minimal to no remaining disease on the excised specimen, and could have been candidates for non-surgical, active surveillance. Magnetic resonance imaging (MRI) is routinely utilized for staging and re-staging the tumor before and after treatment, but is subjective and known to have poor correlation with pathologic staging. Recently, the computerized-extraction of more advanced features from radiographic images, or radiomics, which attempts to quantifying tissue attributes on imaging, has enabled improved disease characterization compared to visual inspection alone. While initial studies have shown promise for radiomic analyses in the context of predicting treatment response for rectal cancers, there is still a need to understand what they are capturing and ensure their utility between different scanners and different hospitals. Traditionally, statistical descriptors are used to describe the heterogeneity captured by radiomic operators, but may be sensitive to noise and not adequately characterize treatment-related changes in the rectal environment. It is therefore important to design radiomic features which capture more information that is pathologically or physiologically intuitive. Finally, in order to ensure their utility in a clinical setting, it is important to identify a stable set of radiomic features, or features which are reproducible across different sites and consistent in normal tissue regions scanners must be assessed to ensure. In this dissertation, we presentthedevelopmentandevaluationoftextural,morphological,aswellasnewlydesigned radiomic descriptors that are physiologically inspired to specifically capture aspects of the underlying rectal tissue pathology related to treatment response. We investigate the utility of these descriptors for predicting and evaluating treatment response in rectal cancers via pre- and post-treatment MRI. We further assess parameter sensitivity of these features and their reproducibility in a multi-site setting.
Anant Madabhushi, PhD (Committee Chair)
Satish Viswanath, PhD (Advisor)
David Wilson, PhD (Committee Member)
Sharon Stein, MD (Committee Member)
Andrei Purysko, MD (Committee Member)
151 p.
Biomedical Engineering; Computer Science; Oncology
Radiomics; Rectal Cancer; Machine Learning; Treatment Response Assessment

Recommended Citations

Citations

  • Antunes, Antunes, J. T. (2020). PHYSIOLOGICALLY-INSPIRED RADIOMICS OF THE RECTAL ENVIRONMENT FOR PREDICTING AND EVALUATING RESPONSE TO CHEMORADIATION IN RECTAL CANCERS [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1607691022604843

    APA Style (7th edition)

  • Antunes, Antunes, Jacob. PHYSIOLOGICALLY-INSPIRED RADIOMICS OF THE RECTAL ENVIRONMENT FOR PREDICTING AND EVALUATING RESPONSE TO CHEMORADIATION IN RECTAL CANCERS. 2020. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1607691022604843.

    MLA Style (8th edition)

  • Antunes, Antunes, Jacob. "PHYSIOLOGICALLY-INSPIRED RADIOMICS OF THE RECTAL ENVIRONMENT FOR PREDICTING AND EVALUATING RESPONSE TO CHEMORADIATION IN RECTAL CANCERS." Doctoral dissertation, Case Western Reserve University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1607691022604843

    Chicago Manual of Style (17th edition)

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© 2021, some rights reserved.Creative Commons License PHYSIOLOGICALLY-INSPIRED RADIOMICS OF THE RECTAL ENVIRONMENT FOR PREDICTING AND EVALUATING RESPONSE TO CHEMORADIATION IN RECTAL CANCERS by Jacob T Antunes Antunes is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.