The Royal College of Radiologists Open最新文献

{"title":"The variability of classification labels is an important barrier to the effective comparison of artificial intelligence software between vendors","authors":"Ahmed Maiter , Eleanor Hesketh , Peter Metherall , Jonathan Taylor , Samer Alabed , Krit Dwivedi , Wendy Tindale , Andrew Swift , Christopher Johns","doi":"10.1016/j.rcro.2024.100229","DOIUrl":"10.1016/j.rcro.2024.100229","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100229"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133470","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}

{"title":"Development of an in-house Artificial Intelligence auto-contouring model for target delineation in craniospinal irradiation","authors":"Samuel Ingram , Peter Sitch , Matthew Lowe , Love Goyal , Marianne Aznar , Matthew Clarke , Gillian Whitfield , Shermaine Pan","doi":"10.1016/j.rcro.2024.100217","DOIUrl":"10.1016/j.rcro.2024.100217","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100217"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181729","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}

{"title":"AI predicts normal chest radiographs in real-world NHS practice","authors":"Mathew Storey , Anthony Chung , Jack Packer , Geraldine Dean , Susan Shelmardine","doi":"10.1016/j.rcro.2024.100222","DOIUrl":"10.1016/j.rcro.2024.100222","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100222"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181757","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}

{"title":"How could AI be used in postgraduate radiology training?","authors":"Jennifer Curle, Susan Jamieson, Vikki Dale","doi":"10.1016/j.rcro.2025.100261","DOIUrl":"10.1016/j.rcro.2025.100261","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100261"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349634","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}

{"title":"How does ChatGPT4omni perform in consenting for common orthopaedic and musculoskeletal interventional procedures?","authors":"Sushmitha Devihalli Jagadeesha , Rajesh Botchu , Kapil Shirodkar , Amar Nitin Kanani , Mohsin Hussein , Aadin Hussein , Karthikeyan P. Iyengar","doi":"10.1016/j.rcro.2025.100262","DOIUrl":"10.1016/j.rcro.2025.100262","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100262"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350249","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}

{"title":"The prognostic effect of coronary artery calcification in locally advanced non-small cell lung cancer: An independent prognostic factor after adjustment for clinical and dosimetric variables","authors":"Yui Watanabe ,&nbsp;Yutaro Koide ,&nbsp;Takahiro Aoyama ,&nbsp;Shingo Hashimoto ,&nbsp;Hiroyuki Tachibana ,&nbsp;Takeshi Kodaira","doi":"10.1016/j.rcro.2025.100352","DOIUrl":"10.1016/j.rcro.2025.100352","url":null,"abstract":"<div><h3>Introduction</h3><div>Although several studies have reported the prognostic significance of coronary artery calcification (CAC) for overall survival (OS) in patients with locally advanced non-small cell lung cancer (LA-NSCLC), the number of cohorts focusing on patients treated with definitive radiotherapy is limited, and the role of CAC as an independent predictor of OS remains underexplored. This study aimed to evaluate the independent prognostic value of CAC for OS in patients with LA-NSCLC undergoing definitive radiotherapy by incorporating this variable into a prognostic model.</div></div><div><h3>Material and methods</h3><div>This study enrolled 140 patients with LA-NSCLC (stage III, 92.1 %) who underwent definitive radiotherapy between 2015 and 2021. The primary endpoint was OS, assessed over a fixed three-year follow-up period. We analyzed the relationships between patient characteristics, CAC, and radiation doses to critical organs. Prognostic models using a simple scoring for predicting OS were developed, and their predictive performance was evaluated.</div></div><div><h3>Results</h3><div>Univariate Cox regression revealed that CAC in multiple vessels (HR, 2.6 [1.5–4.8]; p = 0.001), elevated mean heart dose (MHD; hazard ratio [HR], 4.0 [2.2–7.3]; p &lt; 0.001), and higher total Lung V20 (HR, 2.8 [1.5–5.5]; p = 0.002) were significantly associated with decreased OS. These factors remained independently significant in multivariate analysis: the number of vessels with CAC (p = 0.023), MHD (p = 0.046), and total Lung V20 (p = 0.027). Kaplan-Meier survival analysis demonstrated that simple scoring models based on total Lung V20, MHD and CAC provided enhanced risk stratification for OS (p &lt; 0.001).</div></div><div><h3>Conclusions</h3><div>We identified CAC as an independent prognostic factor for OS in patients with LA-NSCLC undergoing definitive radiotherapy. Furthermore, a simple scoring model incorporating CAC, MHD, and total Lung V20 provided improved risk stratification for OS.</div></div>","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100352"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157271","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}

{"title":"Risk Identification and Relapse Prediction in Lung Adenocarcinoma (LUAD)","authors":"Radhika Khatri,&nbsp;Faryal Khan,&nbsp;Shah Jamal Alam","doi":"10.1016/j.rcro.2024.100169","DOIUrl":"10.1016/j.rcro.2024.100169","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100169"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143091966","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}

{"title":"A Survey on Knowledge and Attitudes of Radiology trainees towards Artificial Intelligence (AI) in Radiology in South India","authors":"Harshad Arvind Vanjare ,&nbsp;Gowri Mahasampath","doi":"10.1016/j.rcro.2024.100196","DOIUrl":"10.1016/j.rcro.2024.100196","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100196"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105419","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}

{"title":"Clinical validation of the deep learning-based preoperative auxiliary planning system for liver cancer: a randomised controlled trial","authors":"Dawei Wang ,&nbsp;Zhaobi Zhu ,&nbsp;Fule Wu ,&nbsp;Chen Xia ,&nbsp;Shaokang Wang ,&nbsp;Isaac Ajayi","doi":"10.1016/j.rcro.2025.100255","DOIUrl":"10.1016/j.rcro.2025.100255","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100255"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143297851","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}

{"title":"Low-dose computed tomography with deep learning reconstruction versus standard-dose computed tomography for malignant liver tumours: A systematic review and meta-analysis","authors":"Chukwudi Ayogu ,&nbsp;Karabo Marole ,&nbsp;Joao Da Fonseca ,&nbsp;Sanda Kolenda-Zloic ,&nbsp;Naga Sai Rasagna Mareddy ,&nbsp;Marco Ratti","doi":"10.1016/j.rcro.2024.100213","DOIUrl":"10.1016/j.rcro.2024.100213","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100213"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143127832","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}