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Which paediatric fractures lack research evidence regarding their diagnosis using artificial intelligence? A systematic review
The Royal College of Radiologists Open
Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100165
Samuel Evans , Amaka Offiah
{"title":"Which paediatric fractures lack research evidence regarding their diagnosis using artificial intelligence? A systematic review","authors":"Samuel Evans , Amaka Offiah","doi":"10.1016/j.rcro.2024.100165","DOIUrl":"10.1016/j.rcro.2024.100165","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100165"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105227","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
Primary unilateral breast angiosarcoma in adolescence
The Royal College of Radiologists Open
Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2025.100288
Nidhi Kishore Agrawal, Sapna Abdul Rahim, Alpna Jain
Primary breast angiosarcoma is a rare soft tissue malignancy of vascular origin, particularly in young patients. Here, we present the case of an 18-year-old autistic female with Addison's disease who developed a rapidly enlarging unilateral breast mass initially diagnosed as an abscess. Despite treatment, the lesion progressed to chest wall and lymph node metastases within three months. This case emphasizes the importance of including malignancy in the differential diagnosis of atypical breast presentations, even in young patients, and highlights the diagnostic and therapeutic challenges associated with this aggressive tumour.
{"title":"Primary unilateral breast angiosarcoma in adolescence","authors":"Nidhi Kishore Agrawal,&nbsp;Sapna Abdul Rahim,&nbsp;Alpna Jain","doi":"10.1016/j.rcro.2025.100288","DOIUrl":"10.1016/j.rcro.2025.100288","url":null,"abstract":"<div><div>Primary breast angiosarcoma is a rare soft tissue malignancy of vascular origin, particularly in young patients. Here, we present the case of an 18-year-old autistic female with Addison's disease who developed a rapidly enlarging unilateral breast mass initially diagnosed as an abscess. Despite treatment, the lesion progressed to chest wall and lymph node metastases within three months. This case emphasizes the importance of including malignancy in the differential diagnosis of atypical breast presentations, even in young patients, and highlights the diagnostic and therapeutic challenges associated with this aggressive tumour.</div></div>","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100288"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395745","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
Personal view: Understanding and addressing gaps between randomized controlled trials and real-world evidence in oncology
The Royal College of Radiologists Open
Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2025.100289
Anuj Kumar , Sarbani Ghosh Laskar , Katherine Wakeham , Kamal Akbarov , Jai Prakash Agarwal
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引用次数: 0
Precision of automated cardiac chambers and great vessel volume segmentation in difficult cases using an open-source full-body segmentation model
The Royal College of Radiologists Open
Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100167
Lisa Sommerfeld, Matthias May
{"title":"Precision of automated cardiac chambers and great vessel volume segmentation in difficult cases using an open-source full-body segmentation model","authors":"Lisa Sommerfeld,&nbsp;Matthias May","doi":"10.1016/j.rcro.2024.100167","DOIUrl":"10.1016/j.rcro.2024.100167","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100167"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143091964","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
Utilisation of Brainomix in suspected stroke patients
The Royal College of Radiologists Open
Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100164
Afolabi Obasa, Anu Thomas
{"title":"Utilisation of Brainomix in suspected stroke patients","authors":"Afolabi Obasa,&nbsp;Anu Thomas","doi":"10.1016/j.rcro.2024.100164","DOIUrl":"10.1016/j.rcro.2024.100164","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100164"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135188","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
Evaluation of an AI tool to measure mammographic density for use in a FAST MRI trial
The Royal College of Radiologists Open
Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100197
Sandra Gomes , Lucy Warren , Mark Halling-Brown , Ken Young , Matthew Trumble , Katherine Klimczak , Jan Rose , Tony Timlin
{"title":"Evaluation of an AI tool to measure mammographic density for use in a FAST MRI trial","authors":"Sandra Gomes ,&nbsp;Lucy Warren ,&nbsp;Mark Halling-Brown ,&nbsp;Ken Young ,&nbsp;Matthew Trumble ,&nbsp;Katherine Klimczak ,&nbsp;Jan Rose ,&nbsp;Tony Timlin","doi":"10.1016/j.rcro.2024.100197","DOIUrl":"10.1016/j.rcro.2024.100197","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100197"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135190","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
Deep learning for Radiotherapy Autosegmentation Workflow (DRAW): System engineering and preliminary experience with an autosegmentation solution built using open-source software
The Royal College of Radiologists Open
Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100210
Santam Chakraborty , Indranil Mallick , Sandip Dutta , Jayanta Mukhopadhyay , Surajit Kundu , Sougata Maity , Oindrila Roychowdhury , Moses Arunsingh , Tapesh Bhattacharyya , Sanjoy Chatterjee , Rimpa Basu Achari
{"title":"Deep learning for Radiotherapy Autosegmentation Workflow (DRAW): System engineering and preliminary experience with an autosegmentation solution built using open-source software","authors":"Santam Chakraborty ,&nbsp;Indranil Mallick ,&nbsp;Sandip Dutta ,&nbsp;Jayanta Mukhopadhyay ,&nbsp;Surajit Kundu ,&nbsp;Sougata Maity ,&nbsp;Oindrila Roychowdhury ,&nbsp;Moses Arunsingh ,&nbsp;Tapesh Bhattacharyya ,&nbsp;Sanjoy Chatterjee ,&nbsp;Rimpa Basu Achari","doi":"10.1016/j.rcro.2024.100210","DOIUrl":"10.1016/j.rcro.2024.100210","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100210"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175925","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
Smart reporting: ChatGPT vs radiologists in MSK knee MRI analysis
The Royal College of Radiologists Open
Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2025.100247
Vikash Rustagi , Sakina Naqvi
{"title":"Smart reporting: ChatGPT vs radiologists in MSK knee MRI analysis","authors":"Vikash Rustagi ,&nbsp;Sakina Naqvi","doi":"10.1016/j.rcro.2025.100247","DOIUrl":"10.1016/j.rcro.2025.100247","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100247"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143319091","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
Exploring how different stakeholders view the use of artificial intelligence in MRI
The Royal College of Radiologists Open
Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2025.100246
Agnieszka Peplinski, David Adams, Marc Miquel, Joe Martin
{"title":"Exploring how different stakeholders view the use of artificial intelligence in MRI","authors":"Agnieszka Peplinski,&nbsp;David Adams,&nbsp;Marc Miquel,&nbsp;Joe Martin","doi":"10.1016/j.rcro.2025.100246","DOIUrl":"10.1016/j.rcro.2025.100246","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100246"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350250","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
Evaluating the Clinical Impact of AI-Driven Autonomous Chest Radiograph Reporting
The Royal College of Radiologists Open
Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100172
Farah Afzal , Mubashrah Aziz , Sadia Tahir
{"title":"Evaluating the Clinical Impact of AI-Driven Autonomous Chest Radiograph Reporting","authors":"Farah Afzal ,&nbsp;Mubashrah Aziz ,&nbsp;Sadia Tahir","doi":"10.1016/j.rcro.2024.100172","DOIUrl":"10.1016/j.rcro.2024.100172","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100172"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143101018","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
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