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Purpose/Objective (s): Due to manual OAR contouring challenges, various automatic contouring solutions have been introduced. Historically, common clinical auto-segmentation algorithms used were atlas-based, which required maintaining a library of self-made contours. Searching the collection was computationally intensive and could take several minutes to complete. Deep learning approaches have shown significant benefits compared to atlas-based methods in improving segmentation accuracy and efficiency in auto-segmentation algorithms. This work represents the first multi-institutional study to describe and evaluate an AI algorithm for the auto-segmentation of organs at risk (OARs) based on a deep image-to-image network (DI2IN). Materials/Methods: The AI-Rad Companion Organs RT (AIRC) algorithm(Siemens Healthineers, Erlangen, Germany) uses a two-step approach for segmentation. In the first step, the target organ region in the optimal input image is extracted using a trained deep reinforcement learning network (DRL), which is then used as input to create the contours in the second step based on DI2IN. The study was initially designed as a prospective single-center evaluation. The automated contours generated by AIRC were evaluated by three experienced board-certified radiation oncologists using a four-point scale where 4 is clinically usable and 1 requires re-contouring. After seeing favorable results in a single-center pilot study, we decided to expand the study to six additional institutions, encompassing eight additional evaluators for a total of 11 physician evaluators across seven institutions. Results: One hundred and fifty-six patients and 1366 contours were prospectively evaluated. The five most commonly contoured organs were the lung (136 contours, average rating = 4.0), spinal cord (106 contours, average rating = 3.1), eye globe (80 contours, average rating = 3.9), lens (77 contours, average rating = 3.9), and optic nerve (75 contours, average rating = 4.0). The average rating per evaluator per contour was 3.6. On average, 124 contours were evaluated by each evaluator. 65% of the contours were rated as 4, and 31% were rated as 3. Only 4% of contours were rated as 1 or 2. Thirty-three organs were evaluated in the study, with 19 structures having a 3.5 or above average rating (ribs, abdominopelvic cavity, skeleton, larynx, lung, aorta, brachial plexus, lens, eye globe, glottis, heart, parotid glands, bladder, kidneys, supraglottic larynx, submandibular glands, esophagus, optic nerve, oral cavity) and the remaining organs having a rating of 3.0 or greater (female breast, proximal femur, seminal vesicles, rectum, sternum, brainstem, prostate, brain, lips, mandible, liver, optic chiasm, spinal cord, spleen). No organ had an average rating below 3. Conclusion: AIRC performed well with greater than 95% of contours accepted by treating physicians with no or minor edits. It supported a fully automated workflow with the potential for time savings and increased standardization with the use of AI-powered algorithms for high-quality OAR contouring. [ABSTRACT FROM AUTHOR]

Objective: We aim to explore whether the surgical tumor free margin is important for overall survival (OS) and local control in patients who undergo neoadjuvant radiation (RT) for vulvar cancer., Methods: A retrospective review from 2004 to 2021 of patients who underwent RT followed by surgical resection was performed. Patients were categorized into groups based on margin status (no residual disease, >8 mm, close margins defined as 1 to 7 mm, or positive). Local control and OS were analyzed using the Kaplan-Meier with log rank test. Multivariate analysis was performed with cox hazards model., Results: Eighty-three patients were included. A complete pathologic response (pCR) was found in 56% (n=46) of patients. The median follow-up time was 35 months (range: 4 to 216). The median OS for the entire cohort was 46 months (95% CI: 32.3-59.7). Having a pCR improved both OS and disease-free survival (DFS) compared with residual disease by 81 and 91 months, respectively (P<0.001). In the 2 patients with a margin >8 mm, there was no statistical difference in survival between those with close margins (46 vs. 25 mo, P=0.485). Factors that significantly impacted both OS and DFS were depth of invasion (DOI) and LVSI. On multivariate analysis of those with residual disease, there was no difference in OS or DFS by margin status but having a DOI >9 mm showed decreased OS (HR: 3.654; 95% CI: 1.317-10.135)., Conclusions: In this cohort, response to RT, not margin status drives survival and recurrence. Given residual disease, the optimal margin is not clear, as there were only 2 patients with >8 mm margins. A close or positive margin had no impact on OS or local recurrence. A DOI >9 mm significantly impacts both OS and local recurrence even when accounting for other factors., Competing Interests: S.B. is a consultant for Xoft Electronic Brachytherapy and Elsevier. He is also employed by Varian Medical Systems. J.A.V. is a consultant for Elsevier clinical pathways. The other authors declare no conflicts of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Purpose EXERT-BC is a dose-escalated resistance training regimen created to improve body composition, strength, and balance in women treated for breast cancer (BC). Herein, we report the interim analysis. Women treated for BC underwent this 3-month exercise regimen in an exercise oncology facility with continual monitoring of load and strength. Twenty women completed the IRB-approved protocol, with a mean age of 57 years (range 41-74). Concurrent therapies included anti-estrogen therapy (73%), chemotherapy (14%), and radiotherapy (23%). 27% of women endorsed prior exercise. Subjects missed an average of 1.75 classes (range 0-7), with all meeting adherence over 75%. No injuries or adverse events were reported aside from muscle soreness and 2 days of knee pain. Significant differences in body composition at completion included reduced body fat (38.2% vs. 36.7%, p=0.003), and increased muscle mass (33.1% vs. 37.1%, p<0.001), functional mobility screening (9.82 vs. 11.73, p=0.018), and Y-balance (left: 72.4 vs. 85.3, p=0.001; right: 70.3 vs. 85.2. p<0.001). Significant increases in load were demonstrated: split squat (p<0.001), trap bar deadlift (p=0.035), inclined dumbbell press (p<0.001), and bird dog rows (p<0.001). Dose-escalated resistance training in women with BC is safe and feasible, endorsing significant improvements across body composition, balance, and strength., Competing Interests: Conflict of Interest C. E. Champ receives compensation for health-related books and is on the scientific board of Simply Good Foods and was a scientific advisor for Biosense (relationship no longer present)., (The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).)