The Royal College of Radiologists Open最新文献

{"title":"A scoping review of radiomic techniques used to investigate cardiovascular disease","authors":"Arshpreet Singh Badesha , Russell Frood , Marc Bailey , Patrick Coughlin , Andrew Scarsbrook","doi":"10.1016/j.rcro.2024.100168","DOIUrl":"10.1016/j.rcro.2024.100168","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100168"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143091965","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":"Artificial Intelligence for diagnostics in radiology practice: A rapid systematic scoping review","authors":"Rachel Lawrence , Emma Dodsworth , Efthalia Massou , Chris Sherlaw-Johnson , Angus Ramsay , Holly Walton , Tracy O'Regan , Fergus Gleeson , Nadia Crellin , Kevin Herbert , Pei Li Ng , Holly Elphinstone , Raj Mehta , Joanne Lloyd , Amanda Halliday , Stephen Morris , Naomi Fulop","doi":"10.1016/j.rcro.2024.100218","DOIUrl":"10.1016/j.rcro.2024.100218","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100218"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181731","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":"An Audit of the experience of Aidence lung nodule detection software users","authors":"George Sylvester , Dan Kim , James Ricketts , Huub Wit","doi":"10.1016/j.rcro.2024.100162","DOIUrl":"10.1016/j.rcro.2024.100162","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100162"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181796","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 consider children as little adults? Performance of adult radiology AI tools applied to a paediatric population – a scoping review","authors":"Lene Laborie , Jennifer Lee , Edward Antram , Susan Shelmerdine","doi":"10.1016/j.rcro.2025.100259","DOIUrl":"10.1016/j.rcro.2025.100259","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100259"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143308458","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":"Evaluation of Large Language Models with clinical guidance for vetting outpatient MRI lumbar spine referrals","authors":"William Clackett , Hatim Alsusa , Hannah Watson , Antanas Kascenas , David Scott , Avinash K. Kanodia , T. Barry Oliver , Alison Q. O'Neil","doi":"10.1016/j.rcro.2024.100231","DOIUrl":"10.1016/j.rcro.2024.100231","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100231"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133471","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 Is AI Transforming Radiography Reporting Workflows? An Analysis of Its Effectiveness and Practical Benefits","authors":"M'Saraaz Khalil","doi":"10.1016/j.rcro.2024.100200","DOIUrl":"10.1016/j.rcro.2024.100200","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100200"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135191","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 , Howell Fu , Louise Wing , Marusa Kotnik , Indrajeet Das , Farhaan Khan , Abdala Espinosa , Edwin Vanbeek , John Murchison , Fergus Gleeson , Alex Novak , 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}

{"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}