Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes最新文献

Acute non-traumatic pelvic pain represents a frequent and complex diagnostic dilemma in pre-menopausal females presenting to the emergency department due to overlapping symptomatology across pregnancy and non-pregnancy related causes. Radiologists play a pivotal role in expediting accurate diagnosis and guiding appropriate management in these potentially life-threatening scenarios. This review provides an approach to workup and imaging selection in these patients, emphasizing the necessity of serum β-hCG testing and the central role of transabdominal and transvaginal pelvic ultrasound. An overview of female pelvic anatomy is provided. Using a multimodality imaging approach, early pregnancy related complications such as ectopic pregnancy, retained products of conception, and gestational trophoblastic disease and non-pregnancy related causes of acute pelvic pain such as ovarian torsion, ruptured ovarian cysts, pelvic inflammatory disease, endometriosis, uterine vascular malformation, ovarian vein thrombosis, ovarian hyperstimulation syndrome, and intrauterine device complications are reviewed. Finally, we propose an algorithmic approach to imaging selection and interpretation tailored to the clinical scenario, laboratory findings (notably β-hCG status), and patient demographics. This structured framework aims to support radiologists in efficiently narrowing the differential diagnosis and optimizing patient outcomes in acute, non-traumatic pelvic emergencies.

This review provides a comprehensive overview of recent transformative advancements in diagnostic imaging that position Japan at the forefront of radiological innovation. We highlight pivotal innovations that enhance diagnostic capabilities and redefine clinical workflows. The article begins with upright multidetector computed tomography (MDCT), a groundbreaking technology offering novel insights into posture-dependent anatomical and physiological changes. We then explore significant progress in breast and gynecologic imaging, including advancements in artificial intelligence computer-aided (AI-CAD) synthesized mammograms, automated breast ultrasound (ABUS), and abbreviated MRI protocols. These innovations address unique regional challenges in early cancer detection. Significant innovations in abdominal radiology, spanning advanced CT (including photon-counting detector CT), accelerated MRI, and AI applications, are also discussed. The review further delves into glymphatic system research, where advanced MRI techniques, particularly DTI-ALPS, are unraveling new insights into brain waste clearance and neurological disorders. Finally, we examine the future of Japanese radiology through the lens of AI, with a focus on Large Language Models (LLMs). We discuss their growing role in diagnostic support, report generation, and information extraction, as well as important societal and ethical considerations. These collective advancements underscore Japan's dynamic contributions to radiological innovation, poised to significantly impact global healthcare practices by improving disease detection, optimizing workflows, and extending healthy life expectancy in an aging society.

Patient-reported outcome measures (PROMs) are standardized, validated instruments that measure how patients feel and function, collected directly from the patient. Traditionally, key metrics in radiology include technical aspects such as image quality, radiation dose, and diagnostic accuracy. However, medical imaging and image-guided therapies shape patient experience in informational, emotional, physical, and logistical domains that are rarely measured. Failing to capture this information is an important gap in radiology research and practice today that needs to be addressed. This review synthesizes the science of PROMs through a radiology lens: what PROMs are; why PROMs are relevant to diagnostic imaging and interventional practice; how to select and interpret PROMs responsibly, with explicit attention to bias, conflicts of interest, and minimal important differences; and how to implement PROMs pragmatically using contemporary digital workflows. This article highlights radiology-specific frameworks for patient-centred outcomes of diagnostic tests, summarizes evidence on how electronic PROM (ePROM) programs can improve patient experience and clinical outcomes, and proposes a practical roadmap for department-level implementation. Throughout, this review aligns recommendations with current methodological and regulatory guidance, draws on Canadian implementation experience, and translates lessons from applied PROM programs in complex clinical services to radiology settings. Implemented thoughtfully, PROMs give radiologists a rigorous, low-burden way to document benefits radiology already provides, strengthen outcome and health-economic analyses, and co-design services around what patients value. Integrating PROMs alongside established technical and diagnostic metrics can extend radiology's value proposition, and make radiology's patient-centred impact visible, measurable, and improvable.

Purpose: This study examines factors contributing to burnout among radiology residents through a Canadian lens and assesses strategies employed at our institution to mitigate its impact.

Methods: This was a single-institution cross-sectional study. Four anonymous online surveys were administered through Qualtrics to PGY 2-5 radiology residents from 2021 to 2025. These surveys identified residents with burnout and distress and assessed contributing factors, suggestions for reducing burnout, and residents' responses to implemented interventions. Interventions were employed at 2 hospitals within our institution.

Results: The surveys had response rates of 30% (2021), 57.7% (2023), 60% (2024), and 62% (2025). 50% of pre-intervention respondents were identified as burned out. The rate reduced to 18.8% post-intervention, with results not being statistically significant (P = .167). Top factors driving burnout included time (eg, increased work hours, time constraints), extra duties (clinical and administrative), and perceived lack of radiology knowledge when dealing with complex cases. Interventions included additional daily 1-hour teaching sessions, wellness lunch rounds, debriefing sessions, transitioning from paper-based protocolling to a hybrid-electronic paper-based system, call schedule modifications, improved ergonomics, and social functions, including incorporating indoor and outdoor activities. Interventions targeting work hours were subjectively the most well-received in combating burnout.

Conclusion: This study underscores the prevalence of burnout among radiology residents. Our institution has implemented a multi-faceted approach to address burnout within our radiology residency program.

Artificial intelligence (AI) and sustainability have been the subject of much research in the field of radiology throughout 2025. The future of the radiologist and our planet has been called into question. We have had to shift focus and evolve to embrace the progress AI can bring while limiting our environmental impact and maximising efficiency in the face of an ever-increasing workload. This year's Canadian Association of Radiologists Journal "Year in Review" revisits the 10 most powerful articles published by our journal in 2025, exploring what's next for AI, sustainability and system efficiency.