1 40 1 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. URL Address <a href="http://doi.org/10.1117/12.2512612" target="_blank" rel="noreferrer noopener">http://doi.org/10.1117/12.2512612</a> Rights Article information provided for research and reference use only. All rights are retained by the journal listed under publisher and/or the creator(s). Volume 10951 ISSN 978-1-5106-2550-1 Search for Full-text Locate full-text within NEOMED Library's e-journal collections <a href="http://ezproxy.neomed.idm.oclc.org/login?url=http://doi.org/10.1117/12.2512612" target="_blank" rel="noreferrer noopener">NEOMED Full-text Holding (if available) - Proxy DOI: 10.1117/12.2512612</a> <p>Users with a NEOMED Library login can search for full-text journal articles at the following url: <a href="https://libraryguides.neomed.edu/home">https://libraryguides.neomed.edu/home</a></p> NEOMED College NEOMED College of Medicine NEOMED Department NEOMED Student Publications Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation Publisher An entity responsible for making the resource available Medical Imaging 2019: Image-guided Procedures, Robotic Interventions, And Modeling Date A point or period of time associated with an event in the lifecycle of the resource 2019 2019 Creator An entity primarily responsible for making the resource Yim Michael C; Wei Zhouping; Antunes Jacob; Sehgal Neil K R; Bera Kaustav; Brady Justin T; Friedman Kenneth; Willis Joseph; Purysko Andrei; Paspulati Raj; Madabhushi Anant; Viswanath Satish E Description An account of the resource Evaluating tumor regression of rectal cancers via MRI after standard-of-care chemoradiation therapy (CRT) remains highly challenging for radiologists. While the tumor region-of-interest (ROI) on post-CRT rectal MRI is difficult to localize, an underexplored region is the perirectal fat (surrounding tumor and rectum) where residual cancer cells and positive lymph nodes are known to be present. Recent studies have shown that physiologic environments surrounding tumor regions may provide complementary information that is predictive of response to CRT and patient survival. We present initial results of characterizing perirectal fat regions on MRI via radiomics, towards capturing sub-visual details related to rectal tumor or nodal response to CRT. A total of 37 rectal cancer patients for whom MRIs as well as pathologic tumor staging were available post-CRT were included in this study. Region-wise radiomic features were extracted from expert annotated perirectal fat regions and a 2-stage feature selection was employed to identify the most relevant features. Radiomic entropy of perirectal fat was found to be over-expressed in patients with poor tumor or nodal response post-CRT, albeit with different spatial distributions. In a leave-one-patient-out cross validation setting, a quadratic discriminant analysis (QDA) classifier trained on top radiomic features from the perirectal fat achieved AUCs of 0.77 (for differentiating incomplete vs marked tumor regression) and 0.75 (for differentiating lymph node positive from negative patients). By comparison, perirectal fat intensities achieved significantly poorer AUCs in both tasks. Our results indicate perirectal fat on post-CRT MRI may be highly relevant for evaluating CRT response and informing follow-on interventions in rectal cancers. Identifier An unambiguous reference to the resource within a given context <a href="http://doi.org/10.1117/12.2512612" target="_blank" rel="noreferrer noopener">10.1117/12.2512612</a> Format The file format, physical medium, or dimensions of the resource Conference Paper 2019 And Modeling Antunes Jacob Bera Kaustav Brady Justin T Conference Paper Friedman Kenneth Madabhushi Anant Medical Imaging 2019: Image-guided Procedures Medical Imaging 2019: Image-guided Procedures, Robotic Interventions, And Modeling NEOMED College of Medicine Student NEOMED Student Publications November 2019 Update Paspulati Raj Purysko Andrei Robotic Interventions Sehgal Neil K R Viswanath Satish E Wei Zhouping Willis Joseph Yim Michael C