The Royal College of Radiologists Open最新文献

{"title":"The Impact of Artificial Intelligence on the Detection of Incidental and Symptomatic Pulmonary Emboli: A Review of 11,000 CT studies","authors":"Fergus O'Herlihy, Dora Gorman, Lara Toerien, Brian Gibney, Peter MacMahon","doi":"10.1016/j.rcro.2024.100175","DOIUrl":"10.1016/j.rcro.2024.100175","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100175"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105224","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":"Leveraging Evidence from Deep Learning Studies to Develop an Improved MRI-based Model for Breast Cancer Diagnosis","authors":"Kamarul Amin Abdullah , Sara Marziali , Muzna Nanaa , Lorena Escudero Sánchez , Nicholas Payne , Fiona Gilbert","doi":"10.1016/j.rcro.2024.100198","DOIUrl":"10.1016/j.rcro.2024.100198","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100198"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135189","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":"Demystifying the radiobiology of hypofractionation: Simple equations to determine tumour alpha beta ratio","authors":"Nuradh Joseph ,&nbsp;Ananya Choudhury ,&nbsp;Roger Dale","doi":"10.1016/j.rcro.2024.100159","DOIUrl":"10.1016/j.rcro.2024.100159","url":null,"abstract":"<div><h3>Introduction</h3><div>The radiobiological basis of hypofractionation pivots on two fundamental tumour characteristics - low α/β ratio and high repopulation factor. In our work, we present novel yet simple equations to derive the tumour α/β ratio assuming non-inferiority of two fractionation regimens.</div></div><div><h3>Methods</h3><div>A simple equation was derived to determine the α/β ratio of tumours assuming non-inferiority of shorter fractionation regimen with longer regimen, by applying the concept of biological effective dose as shown below. <span><math><mrow><mrow><mo>(</mo><mrow><mi>α</mi><mo>/</mo><mi>β</mi></mrow><mo>)</mo></mrow><mo>=</mo><mrow><mo>[</mo><mfrac><mrow><mi>H</mi><mo>.</mo><mi>h</mi><mo>−</mo><mrow><mo>{</mo><mrow><mi>c</mi><mo>.</mo><mrow><mo>(</mo><mrow><mi>C</mi><mo>−</mo><mi>R</mi></mrow><mo>)</mo></mrow></mrow><mo>}</mo></mrow></mrow><mrow><mi>C</mi><mo>−</mo><mi>H</mi><mo>−</mo><mi>R</mi></mrow></mfrac><mo>]</mo></mrow></mrow></math></span>.</div><div>Where H = total dose of the short regimen, h = dose per fraction of the short regimen, C = total dose of the long regimen and c = dose per fraction of the long regimen, R = dose lost due to repopulation.</div><div>Based on this equation, the actual α/β ratio of tumour is determined by substituting regimen of each individual clinical trial, using an iterative and non-iterative approach.</div></div><div><h3>Results</h3><div>Using this equation, in prostate cancer, the α/β ratio is in the range of 2–3 Gy. For urothelial muscle invasive bladder cancer, there is a wide range of probable values for the α/β ratio from 6 Gy to 15 Gy. Assuming the conventional value of 10 Gy for the α/β ratio for bladder cancer, the equivalence of 55 Gy in 20 fractions with 64 Gy in 32 fractions is consistent with a repopulation rate of 0.4 Gy/day.</div></div><div><h3>Conclusion</h3><div>Tumour α/β ratio can be easily derived using simple equations assuming non-inferiority of fractionation regimen.</div></div><div><h3>Advances in knowledge</h3><div>In this work we present simple equations to derive the tumour α/β ratio when a hypofractionated regimen has proven to be non-inferior to a conventional regimen.</div></div>","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100159"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140373","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":"Enhancing Cervical Lesion Detection through Instant Segmentation: Analysing Colposcopic Images with DeepLabv3+ Model","authors":"Yihung Sun ,&nbsp;Chien-Teng Liao ,&nbsp;John Y. Chiang ,&nbsp;Yu-En Chou","doi":"10.1016/j.rcro.2024.100205","DOIUrl":"10.1016/j.rcro.2024.100205","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100205"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176425","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":"Post-market surveillance of artificial intelligence fracture detection in live clinical operational use in the UK","authors":"Amanjeet Braich,&nbsp;Daniel Fascia","doi":"10.1016/j.rcro.2025.100256","DOIUrl":"10.1016/j.rcro.2025.100256","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100256"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143297852","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":"Evaluating the efficacy of an artificial intelligence (AI) auto-contouring algorithm for abdominal organs at risk (OARs) delineated during liver stereotactic body radiotherapy (SBRT) planning","authors":"Matthew Lee,&nbsp;Han Cheng,&nbsp;Minxuan Yuan,&nbsp;Olivia Chohan,&nbsp;Charles-Antoine Collins-Fekete,&nbsp;Maria Hawkins,&nbsp;Douglas Brand","doi":"10.1016/j.rcro.2024.100204","DOIUrl":"10.1016/j.rcro.2024.100204","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100204"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180137","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":"Next-generation virtual and augmented reality in surgical education: a narrative review","authors":"Sharaf Sheik-Ali ,&nbsp;Hilary Edgcombe ,&nbsp;Chris Paton","doi":"10.1016/j.rcro.2025.100242","DOIUrl":"10.1016/j.rcro.2025.100242","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100242"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143338814","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":"On becoming a computer-assisted language learning (CALL) teacher – professional growth after faculty capacity enhancement training: female teachers’ narratives","authors":"Mani Ram Sharma","doi":"10.1016/j.rcro.2025.100249","DOIUrl":"10.1016/j.rcro.2025.100249","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100249"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143348560","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":"Enhancing radiology assessments with human-centric AI: a pilot project in CT scan analysis","authors":"Manoj Srivastva","doi":"10.1016/j.rcro.2025.100254","DOIUrl":"10.1016/j.rcro.2025.100254","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100254"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143348602","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":"Does AI-Assisted Chest X-ray Interpretation Influence Clinical Management of Frontline Clinicians?","authors":"Ruchir Shah ,&nbsp;Howell Fu ,&nbsp;Louise Wing ,&nbsp;Marusa Kotnik ,&nbsp;Indrajeet Das ,&nbsp;Farhaan Khan ,&nbsp;Abdala Espinosa ,&nbsp;Edwin Vanbeek ,&nbsp;John Murchison ,&nbsp;Fergus Gleeson ,&nbsp;Alex Novak ,&nbsp;Sarim Ather","doi":"10.1016/j.rcro.2024.100228","DOIUrl":"10.1016/j.rcro.2024.100228","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100228"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134403","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}