Radiation Oncology Training in the Philippines: Bridging Gaps for Improved Cancer Care in Low- and Middle-Income Countries.

PURPOSE: Radiation oncology in the Philippines, a large lower- and middle-income country in Southeast Asia, is facing a critical shortage in manpower, with only 113 radiation oncologists (ROs) over 55 radiotherapy (RT) centers serving 100 million population. Paramount to workforce expansion is ensuring that training programs can produce adequately trained specialists. In this study, we describe the current state of radiation oncology training programs in the Philippines. METHODS: This is a cross-sectional observational analysis of the nine radiation oncology residency training programs in the Philippines. Data were collected from a survey of the program directors, the Philippine Radiation Oncology Society database, and a PubMed literature search. RESULTS: Eight of the nine programs are in the National Capital Region. Since program standardization in 2005, there have been 82 four-year residency graduates, with up to 18 new graduates annually. Faculty-to-trainee ratio ranges from 0.5 to 2.67. In terms of technology, all programs have intensity-modulated RT and high-dose-rate brachytherapy, but only six are equipped with computed tomography-based image guidance and stereotactic capabilities. Clinical education schemes vary per institution regarding curriculum implementation, resident activities, and methods of evaluation. Required resident case logs are not met for lung, GI, genitourinary, bone and soft tissue, and hematologic malignancies. In total, there are only 22 resident-led publications from 10 unique individuals in two training programs. CONCLUSION: Program expansions are warranted to meet the projected demand for ROs in the Philippines, but training programs must first improve key aspects of staffing, technology, clinical education, and research. Addressing training challenges related to resource limitations necessitates local and international collaborations with higher-capacity centers to bridge gaps for continued quality improvement with the aim of ultimately delivering better overall cancer care.

A survey on brachytherapy training of gynecological cancer focusing on the competence of residents in China.

BACKGROUND: The brachytherapy is an indispensable treatment for gynecological tumors, but the quality and efficiency of brachytherapy training for residents is still unclear. METHODS: An anonymous questionnaire was designed to collect information on gynecological brachytherapy (GBT) training for radiation oncology residents from 28 training bases in China. The questionnaire content was designed based on the principle of competency based medical education (CBME). The Likert scale was employed to evaluate self-reported competence and comprehension regarding GBT. A total of 132 senior residents were included in the final analysis. RESULTS: 53.79% (71/132) of senior residents had experience in performing image-guided GBT, whereas 76.52% (101/132) had observed the procedure during their standardized residency training. The proportion of senior residents who reported having the self-reported competence to independently complete the GBT was 78.03% for intracavity GBT, 75.00% for vaginal stump GBT, and 50.03% for interstitial GBT, respectively. The number of successful completion of Interstitial, intracavity and vaginal GBT was correlated with the self- confidence of trainees after standardized training. In particular, the independent completion of interstitial GBT for more than 20 cases was an independent factor for the self-reported competence of senior residents. During the training period, 50.76% and 56.82% of the residents had not participated in the specialized examinations and professional GBT courses. CONCLUSIONS: The study revealed that the self-confidence of residents to independently complete brachytherapy was relatively high, and the specialized curriculum setting and training process assessment for brachytherapy training still need to be strengthened in the future.

Deformable registration of magnetic resonance images using unsupervised deep learning in neuro-/radiation oncology.

PURPOSE: Accurate deformable registration of magnetic resonance imaging (MRI) scans containing pathologies is challenging due to changes in tissue appearance. In this paper, we developed a novel automated three-dimensional (3D) convolutional U-Net based deformable image registration (ConvUNet-DIR) method using unsupervised learning to establish correspondence between baseline pre-operative and follow-up MRI scans of patients with brain glioma. METHODS: This study involved multi-parametric brain MRI scans (T1, T1-contrast enhanced, T2, FLAIR) acquired at pre-operative and follow-up time for 160 patients diagnosed with glioma, representing the BraTS-Reg 2022 challenge dataset. ConvUNet-DIR, a deep learning-based deformable registration workflow using 3D U-Net style architecture as a core, was developed to establish correspondence between the MRI scans. The workflow consists of three components: (1) the U-Net learns features from pairs of MRI scans and estimates a mapping between them, (2) the grid generator computes the sampling grid based on the derived transformation parameters, and (3) the spatial transformation layer generates a warped image by applying the sampling operation using interpolation. A similarity measure was used as a loss function for the network with a regularization parameter limiting the deformation. The model was trained via unsupervised learning using pairs of MRI scans on a training data set (n = 102) and validated on a validation data set (n = 26) to assess its generalizability. Its performance was evaluated on a test set (n = 32) by computing the Dice score and structural similarity index (SSIM) quantitative metrics. The model's performance also was compared with the baseline state-of-the-art VoxelMorph (VM1 and VM2) learning-based algorithms. RESULTS: The ConvUNet-DIR model showed promising competency in performing accurate 3D deformable registration. It achieved a mean Dice score of 0.975 ± 0.003 and SSIM of 0.908 ± 0.011 on the test set (n = 32). Experimental results also demonstrated that ConvUNet-DIR outperformed the VoxelMorph algorithms concerning Dice (VM1: 0.969 ± 0.006 and VM2: 0.957 ± 0.008) and SSIM (VM1: 0.893 ± 0.012 and VM2: 0.857 ± 0.017) metrics. The time required to perform a registration for a pair of MRI scans is about 1 s on the CPU. CONCLUSIONS: The developed deep learning-based model can perform an end-to-end deformable registration of a pair of 3D MRI scans for glioma patients without human intervention. The model could provide accurate, efficient, and robust deformable registration without needing pre-alignment and labeling. It outperformed the state-of-the-art VoxelMorph learning-based deformable registration algorithms and other supervised/unsupervised deep learning-based methods reported in the literature.

[Clinical research in radiation oncology]. / La recherche clinique en oncologie-radiothérapie : acquis et perspectives.

Clinical research is summarizing scientific trials performed in human aiming to improve biological and medical knowledges. The management of such an activity has to be conducted in a secured environment in terms of expertise, competency and professionalism of involved actors. In the field of cancer, multidisciplinarity is key in the treatment of malignant disease and plays a major role sequentially or concomitantly. In the 90s, clinical research in radiation oncology obtained historical successes, which remain validated guidelines for national societies in a significant number of clinical situations. They concern not only technological improvements but also combined modality treatments with chemotherapy, hormonal therapy and potentially new targeted agents. Radiotherapy, in a palliative or in a curative setting, benefited from dramatic technological improvements aiming to address patient quality of life after radiation therapy. Actually, the emergence of artificial intelligence is willing to modify our current practice historically based on old concepts of clinical evaluation.

La recherche clinique correspond aux études scientifiques réalisées sur la personne humaine en vue du développement des connaissances biologiques et médicales. Sa conduite doit désormais être assurée dans des environnements garantissant l'expertise, la compétence et le professionnalisme des acteurs impliqués. Dans le traitement du cancer, la pluridisciplinarité, garante de la meilleure prise en charge des tumeurs malignes, fait intervenir, de manière séquentielle ou concomitante, de nombreuses spécialités. La recherche clinique en oncologie-radiothérapie a permis d'obtenir des acquis historiques qui restent, dans leur grande majorité, des référentiels de la prise en charge de la maladie reconnus par les sociétés nationales. Elles portent sur la validation des acquis technologiques, mais également sur des associations avec la chimiothérapie, l'hormonothérapie et, demain, les nouveaux agents de thérapie ciblée. La radiothérapie à visée palliative ou curative a considérablement bénéficié des évolutions technologiques et informatiques pour améliorer la qualité de vie des patients après traitement. L'émergence de l'intelligence artificielle permet d'envisager d'améliorer les pratiques basées sur une appréciation du bénéfice-risque. On peut espérer que l'intelligence artificielle devienne supérieure à l'appréciation clinique établie sur les anciens critères retenus au cours de l'histoire.

[Diversity, equity and inclusion in radiation oncology : where do we stand ?] / Diversité, équité et inclusion en radiothérapie-oncologie : où en sommes-nous ?

INTRODUCTION: The promotion of diversity, equity and inclusion (DEI) is increasingly sought after in healthcare, which is why we wanted to draw up a picture of DEI in radiation oncology and give some ideas on how to contribute to its dissemination. METHOD: This article proposes a non-exhaustive review of the international literature on DEI in radiation oncology, both among health professionals and patients. In addition, this review identifies some implicit cognitive biases and proposes strategies to address them. RESULTS: Most of the proposed publications identify a lack of DEI among radiation oncology staff and document inequities in access to high-quality radiotherapy affecting patients belonging to minority groups. CONCLUSION: Significant disparities exist between genders and ethnic groups within the radiotherapy teams, and in the radiotherapy treatment of patients. Nevertheless, DEI is gaining importance, and a range of initiatives and instruments are being developed to address these disparities.

INTRODUCTION: La promotion de l'équité, de la diversité et de l'inclusion (EDI) est de plus en plus recherchée dans les soins de santé, raison pour laquelle nous avons voulu dresser un tableau de l'EDI en radiothérapie et donner des pistes pour contribuer à sa diffusion. Méthode : Cet article propose une revue non exhaustive de la littérature internationale sur l'EDI en radiothérapie, tant chez les professionnels de la santé que chez les patients. En outre, cette revue relève des biais cognitifs implicites et propose des stratégies pour y remédier. Résultats : La majorité des publications proposées identifient un manque d'EDI parmi les professionnels en radiothérapie, et documentent également des iniquités dans l'accès à une radiothérapie de haute qualité touchant les patients issus de groupes minoritaires. CONCLUSION: D'importantes disparités existent entre genres et groupes ethniques au sein des équipes de radiothérapie ainsi que dans le traitement des patients par radiothérapie. Néanmoins, l'EDI gagne en importance et toute une série d'initiatives et d'instruments pour remédier à ces disparités se développent.

[Network science. Part 2 : in radiotherapy]. / La science des réseaux. Partie 2 : en radiothérapie.

In a former publication, we summarized basic principles of network science in order to understand its potential, especially within the field of oncology. This rather young science offers, for example, the opportunity to identify new systemic treatment options. However, these are not the only therapeutic options within the arsenal devoted to the battle against cancer. The two other main pillars of treatment are surgery and radiotherapy. It is our purpose to highlight some applications - rather limited nowadays - of network science in radiotherapy. Data are not so abundant compared to the field of systemic treatments.

Dans un article précédent, les préceptes de base de la science des réseaux ont été sommairement abordés, afin d'en illustrer l'intérêt en cancérologie, en général. Nous avons pu faire le point - de façon non exhaustive - sur l'utilité de cette science assez jeune, en montrant, par exemple, son apport en matière d'identification de moyens systémiques de traitement. Les traitements systémiques font partie de l'arsenal thérapeutique, tout comme d'ailleurs la chirurgie et la radiothérapie. Nous voulons décrire brièvement certaines applications de la science des réseaux quand il s'agit du domaine particulier des radiations ionisantes, même si leur nombre est somme toute plus limité par rapport à ce qui est publié dans le domaine des traitements systémiques.

Effect of radiotherapy on the surface roughness and microhardness of contemporary bioactive restorative materials.

OBJECTIVE: The aim of this in vitro study was to evaluate the effect of radiotherapy on the surface microhardness and roughness of different bioactive restorative materials. MATERIALS AND METHODS: A total of 60-disc specimens (5 mm × 2 mm) were performed in four groups (n = 15 each) from Equia Forte HT, Cention N, Activa Bioactive Restorative, and Beautifil II. Following the polishing procedure (600, 1000, 1200 grit silicon carbide papers), all specimens were irradiated at 2 Gy per fraction, five times a week for a total dose of 70 Gy in 30 fractions over 7 weeks. Before and after the irradiation, the specimens were analyzed regarding the surface roughness and microhardness. Surface morphology was also analyzed by scanning electron microscopy. Kruskal-Wallis test, Wilcoxon test, and paired sample t-test were used for statistical analysis. RESULTS: Significant differences were found after radiation with increased mean roughness of both Cention N (p = 0.001) and Beautifil II (p < 0.001) groups. In terms of microhardness, only the Beautifil II group showed significant differences with decreased values after radiation. There were statistically significant differences among the groups' roughness and microhardness data before and after radiotherapy (p < 0.05). CONCLUSION: The effect of radiotherapy might differ according to the type of the restorative material. Although results may differ for other tested materials, giomer tends to exhibit worse behaviour in terms of both surface roughness and microhardness. CLINICAL RELEVANCE: In patients undergoing head and neck radiotherapy, it should be taken into consideration that the treatment process may also have negative effects on the surface properties of anti-caries restorative materials.

Quality of Large Language Model Responses to Radiation Oncology Patient Care Questions.

Importance: Artificial intelligence (AI) large language models (LLMs) demonstrate potential in simulating human-like dialogue. Their efficacy in accurate patient-clinician communication within radiation oncology has yet to be explored. Objective: To determine an LLM's quality of responses to radiation oncology patient care questions using both domain-specific expertise and domain-agnostic metrics. Design, Setting, and Participants: This cross-sectional study retrieved questions and answers from websites (accessed February 1 to March 20, 2023) affiliated with the National Cancer Institute and the Radiological Society of North America. These questions were used as queries for an AI LLM, ChatGPT version 3.5 (accessed February 20 to April 20, 2023), to prompt LLM-generated responses. Three radiation oncologists and 3 radiation physicists ranked the LLM-generated responses for relative factual correctness, relative completeness, and relative conciseness compared with online expert answers. Statistical analysis was performed from July to October 2023. Main Outcomes and Measures: The LLM's responses were ranked by experts using domain-specific metrics such as relative correctness, conciseness, completeness, and potential harm compared with online expert answers on a 5-point Likert scale. Domain-agnostic metrics encompassing cosine similarity scores, readability scores, word count, lexicon, and syllable counts were computed as independent quality checks for LLM-generated responses. Results: Of the 115 radiation oncology questions retrieved from 4 professional society websites, the LLM performed the same or better in 108 responses (94%) for relative correctness, 89 responses (77%) for completeness, and 105 responses (91%) for conciseness compared with expert answers. Only 2 LLM responses were ranked as having potential harm. The mean (SD) readability consensus score for expert answers was 10.63 (3.17) vs 13.64 (2.22) for LLM answers (P < .001), indicating 10th grade and college reading levels, respectively. The mean (SD) number of syllables was 327.35 (277.15) for expert vs 376.21 (107.89) for LLM answers (P = .07), the mean (SD) word count was 226.33 (191.92) for expert vs 246.26 (69.36) for LLM answers (P = .27), and the mean (SD) lexicon score was 200.15 (171.28) for expert vs 219.10 (61.59) for LLM answers (P = .24). Conclusions and Relevance: In this cross-sectional study, the LLM generated accurate, comprehensive, and concise responses with minimal risk of harm, using language similar to human experts but at a higher reading level. These findings suggest the LLM's potential, with some retraining, as a valuable resource for patient queries in radiation oncology and other medical fields.

Integration of Telemedicine Consultation Into a Tertiary Radiation Oncology Department: Predictors of Use, Treatment Yield, and Effects on Patient Population.

PURPOSE: The COVID-19 pandemic led to rapid expansion of telemedicine. The implications of telemedicine have not been rigorously studied in radiation oncology, a procedural specialty. This study aimed to evaluate the characteristics of in-person patients (IPPs) and virtual patients (VPs) who presented to a large cancer center before and during the pandemic and to understand variables affecting likelihood of receiving radiotherapy (yield) at our institution. METHODS: A total of 17,915 patients presenting for new consultation between 2019 and 2021 were included, stratified by prepandemic and pandemic periods starting March 24, 2020. Telemedicine visits included video and telephone calls. Area deprivation indices (ADIs) were also compared. RESULTS: The overall population was 56% male and 93% White with mean age of 63 years. During the pandemic, VPs accounted for 21% of visits, were on average younger than their in-person (IP) counterparts (63.3 years IP v 62.4 VP), and lived further away from clinic (215 miles IP v 402 VP). Among treated VPs, living closer to clinic was associated with higher yield (odds ratio [OR], 0.95; P < .001). This was also seen among IPPs who received treatment (OR, 0.96; P < .001); however, the average distance from clinic was significantly lower for IPPs than VPs (205 miles IP v 349 VP). Specialized radiotherapy (proton and brachytherapy) was used more in VPs. IPPs had higher ADI than VPs. Among VPs, those treated had higher ADI (P < .001). CONCLUSION: Patient characteristics and yield were significantly different between IPPs and VPs. Telemedicine increased reach to patients further away from clinic, including from rural or health care-deprived areas, allowing access to specialized radiation oncology care. Telemedicine has the potential to increase the reach of other technical and procedural specialties.

Ferroptosis: Frenemy of Radiotherapy.

Recently, it was established that ferroptosis, a type of iron-dependent regulated cell death, plays a prominent role in radiotherapy-triggered cell death. Accordingly, ferroptosis inducers attracted a lot of interest as potential radio-synergizing drugs, ultimately enhancing radioresponses and patient outcomes. Nevertheless, the tumor microenvironment seems to have a major impact on ferroptosis induction. The influence of hypoxic conditions is an area of interest, as it remains the principal hurdle in the field of radiotherapy. In this review, we focus on the implications of hypoxic conditions on ferroptosis, contemplating the plausibility of using ferroptosis inducers as clinical radiosensitizers. Furthermore, we dive into the prospects of drug repurposing in the domain of ferroptosis inducers and radiosensitizers. Lastly, the potential adverse effects of ferroptosis inducers on normal tissue were discussed in detail. This review will provide an important framework for subsequent ferroptosis research, ascertaining the feasibility of ferroptosis inducers as clinical radiosensitizers.

Pan-Canadian Survey of Radiation Oncology Professional Involvement in Global Oncology Initiatives in Low- and Middle-Income Countries.

PURPOSE: Canadian radiation oncology professionals have a strong history of involvement in global oncology initiatives worldwide. This pan-Canadian survey-based study was conducted to determine the current level of engagement of Canadian radiation oncologists (ROs) and medical physicists (MPs) in global oncology initiatives and broaden the development of these activities. MATERIALS AND METHODS: This was a cross-sectional study. The survey was designed to characterize current levels of engagement of Canadian ROs and MPs in global oncology initiatives. The survey was open from March 2019 to April 2020. It was disseminated to all Canadian Association of Radiation Oncology and Canadian Organization of Medical Physicists members with two subsequent email reminders. RESULTS: Survey responses were received from 40 (93%) of the 43 Canadian cancer treatment centers that offer radiotherapy. At least one RO responded at 34 centers (79%) and one MP from 34 centers (79%) with some overlap. A response was received from a total of 93 participants, 47 ROs and 46 MPs. Of all survey participants, 58% reported some experience with global oncology. Nineteen percent of the participants surveyed were currently directly involved in short- or long-term projects, more than half of which have opportunity for additional staff involvement. The projects spanned 26 countries in South America, Africa, and Asia. Quality improvement and capacity building accounted for 27% and 20% of initiatives, respectively. The most common area of engagement was in direct treatment care, accounting for 56% of the projects. CONCLUSION: This study demonstrates the landscape of involvement of Canadian ROs and MPs in global oncology initiatives. The study also highlights areas of opportunity for broadening international participation and collaboration as it relates to global oncology for Canadian radiation oncology professionals.

Serious game for radiotherapy training.

BACKGROUND: Cancer patients are often treated with radiation, therefore increasing their exposure to high energy emissions. In such cases, medical errors may be threatening or fatal, inducing the need to innovate new methods for maximum reduction of irreversible events. Training is an efficient and methodical tool to subject professionals to the real world and heavily educate them on how to perform with minimal errors. An evolving technique for this is Serious Gaming that can fulfill this purpose, especially with the rise of COVID-19 and the shift to the online world, by realistic and visual simulations built to present engaging scenarios. This paper presents the first Serious Game for Lung Cancer Radiotherapy training that embodies Biomedical Engineering principles and clinical experience to create a realistic and precise platform for coherent training. METHODS: To develop the game, thorough 3D modeling, animation, and gaming fundamentals were utilized to represent the whole clinical process of treatment, along with the scores and progress of every player. The model's goal is to output coherency and organization for students' ease of use and progress tracking, and to provide a beneficial educational experience supplementary to the users' training. It aims to also expand their knowledge and use of skills in critical cases where they must perform crucial decision-making and procedures on patients of different cases. RESULTS: At the end of this research, one of the accomplished goals consists of building a realistic model of the different equipment and tools accompanied with the radiotherapy process received by the patient on Maya 2018, including the true beam table, gantry, X-ray tube, CT Scanner, and so on. The serious game itself was then implemented on Unity Scenes with the built models to create a gamified authentic environment that incorporates the 5 main series of steps; Screening, Contouring, External Beam Planning, Plan Evaluation, Treatment, to simulate the practical workflow of an actual Oncology treatment delivery for lung cancer patients. CONCLUSION: This serious game provides an educational and empirical space for training and practice that can be used by students, trainees, and professionals to expand their knowledge and skills in the aim of reducing potential errors.

Implementation of a programmatic assessment model in radiation oncology medical physics training.

PURPOSE: In 2019, a formal review and update of the current training program for medical physics residents/registrars in Australasia was conducted. The purpose of this was to ensure the program met current local clinical and technological requirements, to improve standardization of training across Australia and New Zealand and generate a dynamic curriculum and programmatic assessment model. METHODS: A four-phase project was initiated, including a consultant desktop review of the current program and stakeholder consultation. Overarching program outcomes on which to base the training model were developed, with content experts used to update the scientific content. Finally, assessment specialists reviewed a range of assessment models to determine appropriate assessment methods for each learning outcome, creating a model of programmatic assessment. RESULTS: The first phase identified a need for increased standardized assessment incorporating programmatic assessment. Seven clear program outcome statements were generated and used to guide and underpin the new curriculum framework. The curriculum was expanded from the previous version to include emerging technologies, while removing previous duplication. Finally, a range of proposed assessments for learning outcomes in the curriculum were generated into the programmatic assessment model. These new assessment methods were structured to incorporate rubric scoring to provide meaningful feedback. CONCLUSIONS: An updated training program for Radiation Oncology Medial Physics registrars/residents was released in Australasia. Scientific content from a previous program was used as a foundation and revised for currency with the ability to accommodate a dynamic curriculum model. A programmatic model of assessment was created after comprehensive review and consultation. This new model of assessment provides more structured, ongoing assessment throughout the training period. It contains allowances for local bespoke assessment, and guidance for supervisors by the provision of marking templates and rubrics.

Surface guided radiotherapy practice in paediatric oncology: a survey on behalf of the SIOPE Radiation Oncology Working Group.

INTRODUCTION: Surface guided radiotherapy (SGRT) is increasingly being implemented to track patient's surface movement and position during radiation therapy. However, limited information is available on the SGRT use in paediatrics. The aim of this double survey was to map SIOPE (European Society for Paediatric Oncology)-affiliated centres using SGRT and to gain information on potential indications, observed, or expected benefits. METHODS: A double online survey was distributed to 246 SIOPE-affiliated radiotherapy (RT) centres. Multiple choices, yes/no, and open answers were included. The first survey (41 questions) was active from February to March 2021. A shortened version (13 questions) was repeated in March 2023 to detect trends in SGRT use within the same community. RESULTS: Respectively, 76/142 (54%) and 28/142 (20%) responding centres used and planned to use SGRT clinically, including 4/34 (12%) new centres since 2021. Among the SGRT users, 33/76 (43%) already applied this technology to paediatric treatments. The main benefits of improved patient comfort, better monitoring of intrafraction motion, and more accurate initial patient set-up expected by future users did not differ from current SGRT-users (P = .893). Among non-SGRT users, the main hurdles to implement SGRT were costs and time for installation. In paediatrics, SGRT is applied to all anatomical sites. CONCLUSION: This work provides information on the practice of SGRT in paediatrics across SIOPE-affiliated RT centres which can serve as a basis for departments when considering the purchase of SGRT systems. ADVANCES IN KNOWLEDGE: Since little information is available in the literature on the use of SGRT in paediatrics, the results of this double survey can serve as a basis for departments treating children when considering the purchase of an SGRT system.

Can an in-person hands-on applicator-based teaching session improve trainee knowledge and comfort with complex gynecologic brachytherapy?

INTRODUCTION: With the emergence of imaged-based planning and hybrid applicators the complexity of gynecologic brachytherapy has dramatically increased. Despite the known advantages of brachytherapy, notable national declines in utilization of brachytherapy have been documented. Clearly improved education in the sphere of gynecologic brachytherapy is needed. We hypothesize that a hands-on applicator-based training session would improve trainee comfort with gynecologic brachytherapy. METHODS AND MATERIALS: An in-person, applicator-based, hands-on training session was held with trainees from both radiation and gynecologic oncology programs. Trainees practiced assembling and handling applicators while receiving instruction on clinical scenarios in which various applicators are used in gynecologic cancer brachytherapy. Pre- and post-session, participants were administered an objective test of 10 pictorial-based case vignettes to quantify ability to select the correct applicator based on the interpretation of T2-weighted MR images. Participants additionally received a subjective survey to quantify comfort and experience with gynecologic brachytherapy using Likert-type question formatting. RESULTS: A total of 14 trainees participated. Most common case volume experience was 0-10 intracavitary (57%), 0-10 hybrid (71%), and 0-10 interstitial (71%). Pre-session, the most common answer to comfort level was "not comfortable still learning" for all brachytherapy types, and most common answer to largest gap in knowledge was all facets of brachytherapy. Average case-based test score was 3.5/10 pre-session versus 5.3/10 post-session (p = 0.028). Post-session, all respondents reported improved comfort level with brachytherapy. Post-session, most common answer to largest gap in knowledge was applicator/patient selection, and applicator/patient selection was also the largest area of identified improvement. 100% of participants felt repeating the session in the future would be helpful. CONCLUSIONS: Hands-on training with applicators improves both subjective and objective comfort with gynecologic brachytherapy. With 100% of participants requesting to implement this session into resident training, we suggest national opportunities might exist to expand educational processes and improve utilization of complex gynecologic brachytherapy in practice.