[Last year of residency for oncologists: Overview and perspectives]. / Premiers docteurs juniors d'oncologie médicale : état des lieux et perspectives.

CONTEXT: The reform of the third cycle of medical studies in France has introduced of the "Junior Doctor" status during the concluding year of residency. We wish to evaluate its implementation for the first promotion of medical oncology residents during 2021-2022 in correlation with the published guidelines. METHOD: AERIO conducted a cross-sectional study among French medical oncology residents. The survey was released via social networks and emails. RESULTS: Twenty-eight of 47 residents responded. The typical week involved one to two half-days of consultation, one dedicated to clinical research, one multidisciplinary team meetings, with the rest of time being occupied by day care (mostly) and hospitalization. Teaching and quality management activities were infrequent (monthly or less). The Junior Doctors rated their overall satisfaction at 8/10. A large majority (92.5 %) felt equipped to handle most of the situations they encountered. Almost all residents (92.9 %) had negotiated with their placement supervisor prior to the selection procedure. In one third of the cases (35.7 %), the principle of mismatch between the number of residents and the number of training sites was not respected. Only 42.9 % received training in scientific writing and 82.2 % of the residents agreed on the relevance of the post-internship training modules developed in other specialties. CONCLUSIONS: Junior doctors in medical oncology express overall satisfaction with this reform, which aligns with the recommendations. Nevertheless, certain concerns, such as selection procedure and inadequacy, along with areas requiring improvement, such as post-internship training and scientific writing, are clearly established.

Excitement and Concerns of Young Radiation Oncologists over Automatic Segmentation: A French Perspective.

INTRODUCTION: Segmentation of organs at risk (OARs) and target volumes need time and precision but are highly repetitive tasks. Radiation oncology has known tremendous technological advances in recent years, the latest being brought by artificial intelligence (AI). Despite the advantages brought by AI for segmentation, some concerns were raised by academics regarding the impact on young radiation oncologists' training. A survey was thus conducted on young french radiation oncologists (ROs) by the SFjRO (Société Française des jeunes Radiothérapeutes Oncologues). METHODOLOGY: The SFjRO organizes regular webinars focusing on anatomical localization, discussing either segmentation or dosimetry. Completion of the survey was mandatory for registration to a dosimetry webinar dedicated to head and neck (H & N) cancers. The survey was generated in accordance with the CHERRIES guidelines. Quantitative data (e.g., time savings and correction needs) were not measured but determined among the propositions. RESULTS: 117 young ROs from 35 different and mostly academic centers participated. Most centers were either already equipped with such solutions or planning to be equipped in the next two years. AI segmentation software was mostly useful for H & N cases. While for the definition of OARs, participants experienced a significant time gain using AI-proposed delineations, with almost 35% of the participants saving between 50-100% of the segmentation time, time gained for target volumes was significantly lower, with only 8.6% experiencing a 50-100% gain. Contours still needed to be thoroughly checked, especially target volumes for some, and edited. The majority of participants suggested that these tools should be integrated into the training so that future radiation oncologists do not neglect the importance of radioanatomy. Fully aware of this risk, up to one-third of them even suggested that AI tools should be reserved for senior physicians only. CONCLUSIONS: We believe this survey on automatic segmentation to be the first to focus on the perception of young radiation oncologists. Software developers should focus on enhancing the quality of proposed segmentations, while young radiation oncologists should become more acquainted with these tools.