British Journal of Radiology最新文献

{"title":"MRI-Based Distal Femur Cortical Thickness Analysis for Osteoporosis Detection.","authors":"Sevde Nur Emir, Servet Emir","doi":"10.1093/bjr/tqaf132","DOIUrl":"https://doi.org/10.1093/bjr/tqaf132","url":null,"abstract":"<p><strong>Objectives: </strong>This study aims to evaluate the presence of osteoporosis by measuring the distal femur cortex thickness on routine knee MRI performed for any reason. We aim to determine if these measurements can serve as a reliable indicator of bone mineral density (BMD) and thus facilitate early diagnosis of osteoporosis.</p><p><strong>Methods: </strong>A retrospective study was conducted with approval from the hospital's Ethics Committee. Patients who underwent DXA and knee MRI within six months were included. Exclusion criteria were patients under 18, those with a gap of more than six months between scans, prior knee surgeries, trauma, bone tumors, or non-diagnostic MRI results. MRI examinations were performed on a 1.5 Tesla scanner. Measurements included average cortical bone thickness (CBTavg), distal femoral cortical index-1 (DFCI-1), and distal femoral cortical index-2 (DFCI-2). A radiologist blinded to DXA scores conducted the measurements. Statistical analyses were performed using the Mann-Whitney U test and ROC analysis.</p><p><strong>Results: </strong>A total of 74 patients were included. Significant differences were found between the normal BMD group and the osteopenia/osteoporosis group for CBTavg, DFCI-1, and DFCI-2 (p < 0.01). ROC analysis showed high diagnostic accuracy with an AUC of 0.92 for CBTavg, 0.90 for DFCI-1, and 0.91 for DFCI-2. Optimal cut-off values were determined as 4.52 mm for CBTavg, 2.58 mm for DFCI-1, and 1.12 mm for DFCI-2.</p><p><strong>Conclusion: </strong>The study demonstrates that osteopenia/osteoporosis can be effectively diagnosed using distal femur cortex thickness measurements on routine knee MRI. These measurements provide a simple, fast, and practical method for opportunistically detecting osteoporosis, facilitating early intervention and management.</p><p><strong>Advances in knowledge: </strong>This study is the first to demonstrate that distal femur cortex thickness measurements on routine knee MRI can effectively predict osteoporosis, offering a novel, opportunistic screening method that enhances early detection and intervention strategies.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144504884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence integration into the CT system with a focus on CT planning and scanning-review.","authors":"Thomas Flohr, Michael Sühling","doi":"10.1093/bjr/tqaf129","DOIUrl":"https://doi.org/10.1093/bjr/tqaf129","url":null,"abstract":"<p><p>For many years, the development of computed tomography (CT) has been driven by technological advances in CT scanners to improve their performance, reduce radiation dose and expand their clinical capabilities. Meanwhile, another focus of CT development has emerged-on improving and automating the scanning workflow and on approaches to better display the clinical information of CT images, supported by artificial intelligence (AI). In this review, we provide an overview of AI-driven functionalities integrated into the CT system. We discuss 3D camera-based patient positioning, patient characterization, and scan guidance, and automated scan range definition based on the localizer scan. We present approaches to automatically predict patient-specific individual scan delays for CT angiographic scans, and we discuss algorithms for AI-supported initial image quality checks. Finally, we present modern approaches that enable automatic calculation of anatomically aligned reconstructions and advanced visualizations directly on the scanner. We focus on clinically established methods, but we also present some prototype algorithms as a glimpse into the future.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144504883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reimagining Lung Screening In Women.","authors":"Kim Lori Sandler","doi":"10.1093/bjr/tqaf134","DOIUrl":"https://doi.org/10.1093/bjr/tqaf134","url":null,"abstract":"","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144504885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancements and Applications of Hyperpolarized Xenon MRI for COPD Assessment in China.","authors":"Haidong Li, Hongchuang Li, Ming Zhang, Yuan Fang, Luyang Shen, Xiaoling Liu, Sa Xiao, Qingbin Zeng, Qian Zhou, Xiuchao Zhao, Lei Shi, Yeqing Han, Xin Zhou","doi":"10.1093/bjr/tqaf119","DOIUrl":"https://doi.org/10.1093/bjr/tqaf119","url":null,"abstract":"<p><p>Chronic obstructive pulmonary disease (COPD) is one of the leading causes of morbidity and mortality in China, highlighting the importance of early diagnosis and ongoing monitoring for effective management. In recent years, hyperpolarized 129Xe MRI technology has gained significant clinical attention due to its ability to non-invasively and visually assess lung ventilation, microstructure, and gas exchange function. Its recent clinical approval in China, the United States and several European countries, represents a significant advancement in pulmonary imaging. This review provides an overview of the latest developments in hyperpolarized 129Xe MRI technology for COPD assessment in China. It covers the progress in instrument development, advanced imaging techniques, artificial intelligence-driven reconstruction methods, molecular imaging, and the application of this technology in both COPD patients and animal models. Furthermore, the review explores potential technical innovations in 129Xe MRI and discusses future directions for its clinical applications, aiming to address existing challenges and expand the technology's impact in clinical practice.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144265301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An open-source repository-based tool for quality control of imaging protocol compliance: demonstration in a multicentre MRI study.","authors":"Sam Keaveney, Damien J McHugh, Mihaela Rata, Alina Dragan, Jessica M Winfield, Simon J Doran, Matthew D Blackledge, Erica Scurr, Dow-Mu Koh, Michael Berks, Andrew B Gill, Jonathan R Birchall, James P B O'Connor, Alexander King, Winston J Rennie, Suchi Gaba, Priya Suresh, Paul Malcolm, Amy Davis, Anjumara Nilak, Aarti Shah, Sanjay Gandhi, Mauro Albrizio, Guy Pratt, Gordon Cook, Andrew Hall, Sadie Roberts, Matthew Jenner, Sarah Brown, Martin Kaiser, Penny L Hubbard Cristinacce, Christina Messiou","doi":"10.1093/bjr/tqaf089","DOIUrl":"https://doi.org/10.1093/bjr/tqaf089","url":null,"abstract":"<p><strong>Objectives: </strong>Clinical translation of advanced MRI techniques can be hindered by the challenges of performing standardised multicentre imaging trials. This work aims to develop and demonstrate an automated tool for monitoring imaging protocol deviations, enabling corrective action to be taken.</p><p><strong>Methods: </strong>A Python-based tool, integrated into the imaging repository XNAT, was developed to compare DICOM series with an agreed imaging protocol, highlighting missing series and parameter deviations. This was demonstrated through retrospective analysis of a prospectively acquired dataset from a ten-site whole-body (WB) MRI study of patients with multiple myeloma. The acquired data were compared to the relevant radiological guidelines and to the site-specific imaging protocols agreed for the study.</p><p><strong>Results: </strong>The rate of technical software failure was 0% across 174 examinations from ten sites. The clinical guidelines were followed in 87.9% of examinations and compliance with the site-specific imaging protocol was greater than 75.0% for all parameters. Common deviations included number of averages for diffusion-weighted imaging (DWI) and repetition time for DWI and Dixon: 85.2%, 81.7% and 75.1%, respectively. There was a statistically significant correlation between protocol compliance and overall exam radiological image quality.</p><p><strong>Conclusions: </strong>Repository-integrated software is presented for automated monitoring of imaging protocol compliance to support standardisation in multicentre studies and clinical translation.</p><p><strong>Advances in knowledge: </strong>This study presents a novel open-source repository-integrated software tool for automatically monitoring compliance with the expected imaging protocol. Standardised acquisition protocols are crucial in multicentre imaging studies and this tool has the potential to enhance research outcomes and support clinical translation.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144265302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neuroparasitic Infections: Imaging Features and Diagnostic Algorithms.","authors":"Quayd Robertson, Martin Ferraro, Xiaoxi Chen, Sittaya Buathong, Carlos Rugilo, Minth Punpichet, Dittapong Songsaeng, Jiajie Tian, Utarat Kaewumporn, Jitsupa Wong, Mai-Lan Ho","doi":"10.1093/bjr/tqaf126","DOIUrl":"https://doi.org/10.1093/bjr/tqaf126","url":null,"abstract":"<p><p>Neuroparasitic infections are caused by a variety of organisms that affect the central nervous system (CNS). Given the increasing rates of international travel, climate change, and immunosuppression, neuroparasitic diseases represent a major global health concern. Accurate and diagnosis relies on noninvasive medical imaging combined with exposure history and laboratory testing. Timely institution of appropriate therapy can drastically improve patient outcomes. This article represents an international collaboration of radiologists on multiple continents to illustrate exemplary radiologic cases and provide a broad literature review of neuroparasitic disorders. We describe the geographic distribution, life cycle, diagnostic testing, and imaging findings for 12 leading neuroparasitic infections: amoebiasis, trypanosomiasis, leishmaniasis, toxoplasmosis, paragonimiasis, neurocysticercosis, hydatidosis, sparganosis, angiostrongyliasis, gnathostomiasis, toxocariasis, and myiasis. A master flowchart is provided to distinguish these diverse entities based on clinical symptoms, geographic area, exposure history, radiologic findings, and clinical testing.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144257344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Abbreviated MRI Protocols for Endometriosis: Clinical Value, Limitations, and the Role of Sagittal T2-weighted Imaging (sagT2W).","authors":"Claudio Marcio Amaral de Oliveira Lima, Edson Marchiori, Antônio Carlos Coutinho Junior","doi":"10.1093/bjr/tqaf127","DOIUrl":"https://doi.org/10.1093/bjr/tqaf127","url":null,"abstract":"","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144257343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Photon-counting detector CT in musculoskeletal imaging: benefits and outlook.","authors":"Ahmed O El Sadaney, Andrea Ferrero, Kishore Rajendran, Ronald Booij, Roy Marcus, Reto Sutter, Edwin H G Oei, Francis Baffour","doi":"10.1093/bjr/tqaf124","DOIUrl":"https://doi.org/10.1093/bjr/tqaf124","url":null,"abstract":"<p><p>Photon-counting detector CT (PCD-CT) represents a significant advancement in medical imaging, particularly for musculoskeletal (MSK) applications. Its primary innovation lies in enhanced spatial resolution, which facilitates improved detection of small anatomical structures such as trabecular bone, osteophytes, and subchondral cysts. PCD-CT enables high-quality imaging with reduced radiation doses, making it especially beneficial for populations requiring frequent imaging, such as pediatric patients and individuals with multiple myeloma. Additionally, PCD-CT supports advanced applications like bone quality assessment, which correlates well with gold-standard tests, and can aid in diagnosing osteoporosis and assessing fracture risk. Techniques such as spectral shaping and virtual monoenergetic imaging further optimize the technology, minimizing artifacts and enhancing material decomposition. These capabilities extend to conditions like gout and hematologic malignancies, offering improved detection and assessment. The integration of artificial intelligence could enhance PCD-CT's performance by reducing image noise and improving quantitative assessments. Ultimately, PCD-CT's superior resolution, reduced dose protocols, and multi-energy imaging capabilities will likely have a transformative impact on MSK imaging, improving diagnostic accuracy, patient care, and clinical outcomes.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144246574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chest CT in the Evaluation of COPD: Recommendations of Asian Society of Thoracic Radiology.","authors":"Li Fan, Joon Beom Seo, Yoshiharu Ohno, Sang Min Lee, Kazuto Ashizawa, Ki Yeol Lee, Qi Yang, Wiwatana Tanomkiat, Công Cung Văn, Hoang Trung Hieu, Shi Yuan Liu, Jin Mo Goo","doi":"10.1093/bjr/tqaf111","DOIUrl":"https://doi.org/10.1093/bjr/tqaf111","url":null,"abstract":"<p><p>Chronic Obstructive Pulmonary Disease (COPD) is a significant public health challenge globally, with Asia facing unique burdens due to varying demographics, healthcare access, and socioeconomic conditions. Recognizing the limitations of pulmonary function tests (PFTs) in early detection and comprehensive evaluation, the Asian Society of Thoracic Radiology (ASTR) presents this recommendations to guide the use of chest computed tomography (CT) in COPD diagnosis and management. This document consolidates evidence from an extensive literature review and surveys across Asia, highlighting the need for standardized CT protocols and practices. Key recommendations include adopting low-dose paired respiratory phase CT scans, utilizing qualitative and quantitative assessments for airway, vascular, and parenchymal evaluation, and emphasizing structured reporting to enhance clinical decision-making. Advanced technologies, including dual-energy CT and artificial intelligence, are proposed to refine diagnosis, monitor disease progression, and guide personalized interventions. These recommendations aim to improve the early detection of COPD, address its heterogeneity, and reduce its socioeconomic impact by establishing consistent and effective imaging practices across the region. This recommendations underscore the pivotal role of chest CT in advancing COPD care in Asia, providing a foundation for future research and practice refinement.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144246573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vessels Lateral to the Left Aortic Arch: A Pictoral Review.","authors":"Pratyaksha Rana, Vidur Bansal, Saurabh Deshpande, T M Harishkar, Megha M Sheth, Chirag Doshi","doi":"10.1093/bjr/tqaf125","DOIUrl":"https://doi.org/10.1093/bjr/tqaf125","url":null,"abstract":"<p><p>A multitude of vessels and vascular structures are found in the area lateral to the left aortic arch. This is of special importance to the cardiothoracic surgeon as well as an intervention radiologist as many normal variants must be differentiated from anomalous course of normal structures and congenital defects. Intervention on any structure in this region without awareness about the different structures that may be encountered, may be fraught with danger.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144246575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}