Clinical radiology最新文献

{"title":"Chest radiographs and ultrasound for the assessment of chest wall abnormalities in paediatrics.","authors":"Christopher Barrett, Stephanie French, Mark Phillips","doi":"10.1016/j.crad.2026.107329","DOIUrl":"10.1016/j.crad.2026.107329","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"99 ","pages":"Article 107329"},"PeriodicalIF":2.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148634754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Missed Lung Cancers on Chest Radiographs – A Completed Audit Cycle","authors":"Kranthi Sajja","doi":"10.1016/j.crad.2026.107322","DOIUrl":"10.1016/j.crad.2026.107322","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"99 ","pages":"Article 107322"},"PeriodicalIF":2.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148635094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the appropriateness and outcomes of MCUG referrals in Aneurin Bevan University Health Board","authors":"Nathan Boardman","doi":"10.1016/j.crad.2026.107321","DOIUrl":"10.1016/j.crad.2026.107321","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"99 ","pages":"Article 107321"},"PeriodicalIF":2.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148635397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Paid MBP advert: AI Conference Journal Ad July Issue_01","authors":"","doi":"10.1016/S0009-9260(26)00191-1","DOIUrl":"10.1016/S0009-9260(26)00191-1","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"98 ","pages":"Article 107415"},"PeriodicalIF":2.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148566067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"RCR meetings","authors":"","doi":"10.1016/S0009-9260(26)00190-X","DOIUrl":"10.1016/S0009-9260(26)00190-X","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"98 ","pages":"Article 107414"},"PeriodicalIF":2.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148566066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"RCR meetings","authors":"","doi":"10.1016/S0009-9260(26)00160-1","DOIUrl":"10.1016/S0009-9260(26)00160-1","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"97 ","pages":"Article 107384"},"PeriodicalIF":1.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148167933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Paid MBP advert: AI Conference Journal Ad June Issue_01","authors":"","doi":"10.1016/S0009-9260(26)00161-3","DOIUrl":"10.1016/S0009-9260(26)00161-3","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"97 ","pages":"Article 107385"},"PeriodicalIF":1.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148167934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Magnetic resonance imaging (MRI) of the myometrium – benign and malignant disease","authors":"S. Albastawisy ,&nbsp;K. Shapriya ,&nbsp;A.G. Rockall ,&nbsp;N. Bharwani","doi":"10.1016/j.crad.2026.107281","DOIUrl":"10.1016/j.crad.2026.107281","url":null,"abstract":"<div><div>Myometrial lesions are a common indication for pelvic imaging, with accurate characterisation crucial for guiding management. While ultrasonography remains the first-line modality, magnetic resonance imaging (MRI) offers superior tissue contrast, multiplanar capability, and functional assessment, offering the highest accuracy for characterising uterine masses. This review highlights the pivotal role of MRI in differentiating benign from malignant myometrial lesions. We summarise characteristic imaging features of adenomyosis and the spectrum of leiomyomas, including atypical and degenerated leiomyomas, with reference to the Federation of Gynaecology and Obstetrics (FIGO) classification system. Emphasis is placed on MRI findings that help differentiate leiomyosarcoma (LMS) from atypical leiomyoma, a persistent diagnostic challenge due to their overlapping imaging appearances. Emerging approaches, including radiomics and machine learning, show promise in improving imaging-based differentiation of both entities. Rare myometrial lesions such as cysts and uterine arteriovenous malformations are also briefly reviewed. MRI remains the modality of choice for comprehensive evaluation and management planning of myometrial masses, supporting accurate diagnosis and effective multidisciplinary decision-making.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"97 ","pages":"Article 107281"},"PeriodicalIF":1.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147431256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distinguishing between hepatocellular adenoma and well-differentiated hepatocellular carcinoma using MRI and clinical feature-based nomogram model","authors":"Z. Zhu ,&nbsp;L. Hou ,&nbsp;Y. Zhao ,&nbsp;L. Li ,&nbsp;X. Zhao","doi":"10.1016/j.crad.2025.107183","DOIUrl":"10.1016/j.crad.2025.107183","url":null,"abstract":"<div><h3>Aim</h3><div>To assess MRI and clinical features for the differentiation of hepatocellular adenoma (HCA) and well-differentiated hepatocellular carcinoma (WDHCC).</div></div><div><h3>Materials and Methods</h3><div>Contrast-enhanced MRI images and clinical data of 144 pathologically confirmed HCA or WDHCC enrolled retrospectively from multiple centers between January 2015 and January 2024. Two readers reviewed images to identify imaging features and measure signal intensity on multiple phases images. The predictive model was established using binary Logistic regression, and the predictive ability was evaluated using the area under the curve (AUC), accuracy, sensitivity, and specificity by R software.</div></div><div><h3>Results</h3><div>Out of 144 eligible patients (35 HCAs, 109 WDHCCs), 23 in 37 indexes showed significant differences. Moreover, 10 parameters remained significant after the univariate regression analysis. To construct a highly accurate predictive model, the significant parameters were further subjected to a multivariate regression model. Six valuable factors (long axis, T1WI, T2WI/FS, capsule enhancement, septa, and cirrhosis) were selected to establish the diagnostic model. Then, a nomogram to discriminate HCA from WDHCC was built on the basis of a multivariate logistic regression model. The AUC of the MRI signal model, the clinical factors model, and the combined model in training sets and validation sets are 0.955, 0.929, 0.962, and 0.898, 0.835, 0.846, respectively. DCA and clinical impact curve was applied to assess the clinical utility of the diagnostic nomogram. Based on the DCA, the MRI signal showed superior clinical utility compared to the other models.</div></div><div><h3>Conclusion</h3><div>MRI signal-based model provides high diagnostic performance as demonstrated in the differentiation of HCA and WDHCC, supported by a nomogram model.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"94 ","pages":"Article 107183"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IO1-UK: a cross-sectional study to re-evaluate the provision of interventional oncology services across the United Kingdom","authors":"D. Velazquez-Pimentel ,&nbsp;J. Pancholi ,&nbsp;P. Jenkins ,&nbsp;N. Cinti ,&nbsp;M. Stephanou ,&nbsp;D. Kotecha ,&nbsp;A. White ,&nbsp;S. Ashraf ,&nbsp;O. Llewellyn ,&nbsp;G. Vigneswaran ,&nbsp;H. Shiwani ,&nbsp;J. Zhong ,&nbsp;Des Alcorn ,&nbsp;D.J. Breen ,&nbsp;P. Haslam ,&nbsp;G. Hickson ,&nbsp;O. Jaffer ,&nbsp;P. Kennedy ,&nbsp;P. Littler ,&nbsp;P. Peddu ,&nbsp;T.M. Wah","doi":"10.1016/j.crad.2025.107185","DOIUrl":"10.1016/j.crad.2025.107185","url":null,"abstract":"<div><h3>Aim</h3><div>This study aims to survey the provision of Interventional Oncology (IO) services in the UK and compare the results to survey data collected in 2016.</div></div><div><h3>Materials and methods</h3><div>A cross-sectional multicentre study of the provision of IO services was conducted across all interventional radiology (IR) departments in the UK. Data were collected using an electronic survey tool and executed via the UNITE Collaborative. IO procedures were defined using the Royal College of Radiologists classification categories. For each IR department information regarding demographic details, current IO procedures, equipment, and relevant infrastructure was collected. Thereafter, responses were compared to survey data collected in 2016.</div></div><div><h3>Results</h3><div>A total of 169 hospital boards were invited to participate, 132 (78%) of which responded stating they had an IR department, while 29 (17%) responded stating they had no IR department and 8 (5%) provided no response.</div><div>Of the hospital boards with IR departments, 49% (n=65/132) provided both disease-modifying and supportive/symptomatic procedures and 51% (n=67/132) offered only supportive/symptomatic procedures. Compared to 2016, there was a modest increase in the provision of disease-modifying procedures with the largest growth seen in transarterial chemoembolisation (+9%), selective internal radiation therapy (+7%), and renal ablation (+8%).</div></div><div><h3>Conclusion</h3><div>Over the last 8 years, the provision of IO services across the UK has only marginally grown in both supportive and disease-modifying domains. This study highlights the urgent need to identify and address barriers preventing access to IO procedures to ensure the UK population can benefit from modern, evidence-based IO care.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"94 ","pages":"Article 107185"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146008670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}