The Royal College of Radiologists Open最新文献_第10页

Enhancing quality of screening mammography in university training centres through AI integration: a prospective analysis 通过人工智能整合提高大学培训中心乳房x光筛查质量：一项前瞻性分析

The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100557

Elham Keshavarz, Masoumeh Gity, Mehran Arab Ahmadi, Melika Boroomand-Saboor, Hamed Dashti, Mandana Pourian

引用次数: 0

Machine learning vs logistic regression to predict late gastrointestinal toxicity after prostate cancer radiotherapy 机器学习与逻辑回归预测前列腺癌放疗后晚期胃肠道毒性

The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100482

Rhiju Chatterjee, Helen Mayles, Phil Reynolds, Isabel Syndikus

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Long-term survival in ROS-1 positive non-small cell lung cancer with development of resistance mechanisms and multiple primary tumours: A case report ROS-1阳性非小细胞肺癌耐药机制发展和多发原发肿瘤的长期生存：1例报告

The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-07-28 DOI: 10.1016/j.rcro.2026.100619

Lotte Duckaert, Annelies Janssens

{"title":"Long-term survival in ROS-1 positive non-small cell lung cancer with development of resistance mechanisms and multiple primary tumours: A case report","authors":"Lotte Duckaert, Annelies Janssens","doi":"10.1016/j.rcro.2026.100619","DOIUrl":"10.1016/j.rcro.2026.100619","url":null,"abstract":"<div><div>ROS1-rearranged non-small cell lung cancer (NSCLC) is a rare molecular subset of lung cancer, most frequently affecting young, non-smoking, female patients. The development of tyrosine kinase inhibitors (TKIs), such as crizotinib and lorlatinib, has greatly improved patient outcomes for this cancer type. Nevertheless, challenges such as acquired resistance, histological transformation, and the emergence of additional malignancies remain significant.</div><div>We report the case of a 31-year-old woman diagnosed in 2018 with stage IV-A mucinous adenocarcinoma of the right lung, harbouring a ROS1-translocation. Initial treatment with crizotinib led to a major partial response, but was later changed to lorlatinib due to suspected progression in 2019. In 2020, a right upper lobectomy was performed due to progressive disease, which showed an adenocarcinoma with focal squamous transformation. Postoperatively, lorlatinib was continued, achieving long-term disease control for several years.</div><div>In 2025, surveillance imaging revealed a new pulmonary lesion and an extrathoracic perineal mass. The pulmonary lesion was treated with stereotactic body radiotherapy, and the perineal mass was surgically removed. Histopathology identified an inflammatory myofibroblastic tumour (IMT) with equivocal ROS1 expression but no clear driver alteration. Given the R1 resection margin and the indolent nature of IMT, a watchful waiting approach was pursued. Both the perineal IMT and the right middle lobe tumour were ultimately treated as primary tumours.</div><div>This case illustrates the long-term complexity of managing ROS1-rearranged NSCLC in a young patient. It demonstrates rare but clinically important phenomena, including histological transformation and the development of multiple primary tumours. It emphasises the importance of multidisciplinary decision-making and vigilant long-term surveillance in oncogene-driven non-small cell lung cancer.</div></div>","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100619"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148640254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Shaping the UK radiology workforce: Two decades of diversity, progression, and training evolution – A national observational study 塑造英国放射学劳动力：二十年的多样性，进步和培训演变-一项全国观察性研究

The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-02-19 DOI: 10.1016/j.rcro.2026.100471

Shruti Rajendra , Behnam Shaygi

{"title":"Shaping the UK radiology workforce: Two decades of diversity, progression, and training evolution – A national observational study","authors":"Shruti Rajendra , Behnam Shaygi","doi":"10.1016/j.rcro.2026.100471","DOIUrl":"10.1016/j.rcro.2026.100471","url":null,"abstract":"<div><h3>Aims</h3><div>The UK continues to face radiology workforce pressures. This study examined how major policy events have shaped diversity and career timelines within the senior UK radiology workforce over nearly two decades.</div></div><div><h3>Methods</h3><div>All radiologists added to the General Medical Council (GMC) Specialist Register between 2006 and 2023 were identified via a Freedom of Information request. Gender and country of primary medical qualification (PMQ) were analysed, classifying radiologists as UK medical graduates (UKMGs) or international medical graduates (IMGs). The interval between PMQ and specialty registration was a surrogate proxy for overall progression. Temporal trends were assessed using Poisson, binomial logistic, and quantile regression, with interrupted time-series models assessing inflection points at 2012 (MMC), 2016 (Brexit), and 2020 (COVID-19).</div></div><div><h3>Results</h3><div>Between 2006 and 2023, 4409 radiologists entered the GMC Specialist Register; 39.2% were women and 39.8% were IMGs from 80 countries. Annual registrations rose by +3.85%/year (p < 0.001) without significant change in female (β:+0.0045, p = 0.44) or IMG (β: 0.0045, p = 0.44) representation. Median time from PMQ to registration was 10 years (IQR: 9–13), 1 year longer for females (p < 0.001) and 4 years longer for IMGs (p < 0.001). The gender gap remained stable (interaction β:+0.029/year, p = 0.51), while the UKMG–IMG gap widened (interaction β:+0.224/year, p < 0.001).</div></div><div><h3>Conclusions</h3><div>The senior radiology workforce has expanded and remains internationally diverse, though gender representation has plateaued. Female radiologists and IMG radiologists had longer intervals to registration. Further work is needed to understand these differences, which may be due to differences in career breaks, migration and global changes in training pathways.</div></div>","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100471"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147409829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using a large language model to detect missed documentation of appendicular fractures in the emergency department: a pilot study 使用大型语言模型来检测急诊科阑尾骨折的遗漏文件：一项试点研究

The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100487

Kasim Alimohamed, Sabeeh Syed, Aimen Hassan, Hassan Ahmad, Saranya Baleswaran, Mohammed Jafer Ali, Ravindran Karthigan

引用次数: 0

Lesion-level validation of a deep learning model for intracranial aneurysm detection on TOF-MRA 基于TOF-MRA的颅内动脉瘤检测深度学习模型的病变水平验证

The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100491

Benoît Doche de Laquintane, Aurélie Drier, Pascal Rubini, Jérémy Brioulet, Ali El Ameen, Mathieu Raufaste, Verónica Muñoz-Ramírez

引用次数: 0

RadAugment: an AI-enabled competency tracking and analytics platform for radiology trainees RadAugment：一个支持人工智能的放射学培训生能力跟踪和分析平台

The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100495

Rahul Rana, Yogeshwar Gohil

引用次数: 0

Predicting pathological complete response to neoadjuvant chemoimmunotherapy in NSCLC using radiomics features from pre- and post-treatment CT scans 利用治疗前后CT扫描的放射组学特征预测非小细胞肺癌新辅助化疗免疫治疗的病理完全反应

The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100499

Sunyi Zheng, Jing Wang, Shui Liu, Zhaoxiang Ye, Xiaonan Cui

引用次数: 0

The use of multimodal machine learning models for predicting overall survival in patients with non-small cell lung cancer: a systematic review 使用多模态机器学习模型预测非小细胞肺癌患者的总生存期：一项系统综述

The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100520

Cristian Soto Jacome, David Silva Segovia, Andrea Arce-Camposano, Eddy Lincango Naranjo, Fernando Jerves Coello, Pierre Rodriguez Alarcon

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Societal impacts of opportunistic detection of osteoporotic vertebral fragility fractures using artificial intelligence: a literature review 利用人工智能机会性检测骨质疏松性椎体脆性骨折的社会影响：文献综述

The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100535

Georgina Lindsay

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