British Journal of Radiology最新文献

{"title":"Response to letter to editor.","authors":"Bobby Bhartia","doi":"10.1093/bjr/tqae257","DOIUrl":"https://doi.org/10.1093/bjr/tqae257","url":null,"abstract":"","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881328","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":"CT-based liver peritumoral radiomics features predict hepatic metastases sources as gastrointestinal or non-gastrointestinal.","authors":"Chengshi Hou, Fang Wang, Martin Prince, Xin Yang, Wenjian Wang, Jing Ye, Lei Chen, Xianfu Luo","doi":"10.1093/bjr/tqae248","DOIUrl":"https://doi.org/10.1093/bjr/tqae248","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate the feasibility of radiomics models for predicting the source of hepatic metastases from gastrointestinal (GI) vs. non-gastrointestinal (non-GI) primary tumors on contrast enhanced CT(CECT).</p><p><strong>Methods: </strong>347 patients with liver metastases (180 from GI and 167 from non-GI) and abdominal CECT including arterial, portal venous, and delayed phases were divided into training (221) and validation (96) sets at a ratio of 7:3 and an independent testing set (30). Radiomics features were extracted from volumes of interest (VOIs) including tumoral (Vtc) and peritumoral (Vpt) regions on CECT. Optimal radiomics features were used in logistic regression models using receiver operating curve (ROC) analysis to evaluate the diagnostic efficiency.</p><p><strong>Results: </strong>The best single-phase model was a venous phase peritumoral VOI with 11 features. Area under the curve (AUC), sensitivity and specificity were 0.817, 0.740 and 0.761, respectively in the validation set. While the best arterial phase tumoral VOI gave an AUC of 0.677 in the validation set. For the combined models, peritumoral VOI in arterial and venous phases (15 features) achieved the best prediction performance with an AUC of 0.926 in the validation set and 0.884 in the testing set.</p><p><strong>Conclusion: </strong>Liver peritumoral radiomics features extracted from CECT were able to identify the source of hepatic metastases as GI versus non-GI.</p><p><strong>Advances in knowledge: </strong>Peritumoral radiomics features showed a correlation with source of liver metastases. The radiomics features from liver peritumoral arterial and venous phases CT were promising in differentiating the source of hepatic metastases from GI vs. non-GI primary tumors.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142885166","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 audit of the impact of the introduction of a commercial artificial intelligence driven auto-contouring tool into a radiotherapy department.","authors":"Keith A Langmack, Gavin G Alexander, Joshua Gardiner, Angela McKenna, Ewan Shawcroft","doi":"10.1093/bjr/tqae255","DOIUrl":"https://doi.org/10.1093/bjr/tqae255","url":null,"abstract":"<p><strong>Objectives: </strong>To audit prospectively the accuracy, time saving and utility of a commercial artificial intelligence auto-contouring tool (AIAC). To assess the reallocation of time released by AIAC.</p><p><strong>Methods: </strong>We audited the perceived usefulness (PU), clinical acceptability and reallocation of time during the introduction of a commercial AIAC. The time from CT to plan completion (PPTT) was audited for several pathways.</p><p><strong>Results: </strong>248 patients and 32 staff were included in this audit. PU increased with exposure to AIAC (p < 0.05). For 80% of sites AIAC was timesaving and AI contours were clinically acceptable after minor edits. Edits had little impact on doses for the majority of cases. Median PPTT reduced by 5.5 (breast) and 9 (prostate) working days (p < 0.01). Radiographers spent more time on other tasks within planning. Oncologists improved their work-life balance and increased time spent on professional development and research by up to 2 hours per week.</p><p><strong>Conclusions: </strong>All users of AIAC found it a useful tool and it improved their productivity. The contours were high quality and needed little editing. It reduced contouring time and reduced PPTT by several days in some cases. The reallocated time was staff group dependent.</p><p><strong>Advances in knowledge: </strong>The time released by the use of AIAC can lead to a reduction in the PPTT by up to 9 days. It also improves the work-life balance of oncologists by reducing the time spent out of hours contouring.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142869392","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":"Partial or Focal Brachytherapy for Prostate Cancer: A Systematic Review and Meta-Analysis.","authors":"Enrique Gutiérrez-Valencia, Inmaculada Navarro-Domenech, Kailee Zhou, Marc Barcelona, Rouhi Fazelzad, Matthew Ramotar, Irving Sanchez, Victor Ruiz, Robert Weersink, Rachel Glicksman, Joelle Helou, Alejandro Berlin, Peter Chung, Ronald Chow, Srinivas Raman","doi":"10.1093/bjr/tqae254","DOIUrl":"https://doi.org/10.1093/bjr/tqae254","url":null,"abstract":"<p><strong>Introduction: </strong>Recent advances in image-guided brachytherapy have allowed for treatment volume reduction in the treatment of prostate cancer, with the aim to optimize disease control and reduce toxicities. This systematic review reports on the efficacy and safety of focal brachytherapy for treatment of patients with localized prostate cancer.</p><p><strong>Methods: </strong>Medline, Embase, Web of Science and Cochrane were searched from inception to July 2023. Studies were included if they reported on focal brachytherapy, and described either dosimetry or clinical outcomes in the monotherapy or salvage setting. Meta-analysis was conducted to estimate biochemical control (BC) at 12-60 months. The review protocol was registered on PROSPERO (CRD42022320921).</p><p><strong>Results: </strong>26 studies reporting on 1492 patients were included in this review. 14 studies reported on monotherapy, 10 on salvage and 2 on boost. The majority of studies used MRI and/or biopsy or PET for target identification, and MRI fusion and transrectal ultrasound (TRUS) for image guidance technique. BC for monotherapy was 97% (95%CI: 86-99%) at 24 months, and 82% (95%CI: 65-92%) at 60 months. BC for salvage was 67% (95%CI: 62-72%) at 24 months, and 35% (95%CI: 17-58%) at 60 months. Low rates of toxicity were reported across studies.</p><p><strong>Conclusion: </strong>Focal brachytherapy has promising efficacy and safety profiles. Future studies may compare focal brachytherapy to whole-gland treatments, to investigate relative efficacy and safety.</p><p><strong>Advances in knowledge: </strong>In well-selected patients, partial or focal brachytherapy represents an evidence-based option with acceptable BC rates and a favourable toxicity profile.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142863232","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":"Improving radiology reporting locally and globally: who, how and why?","authors":"Kirsten L Gormly","doi":"10.1093/bjr/tqae253","DOIUrl":"https://doi.org/10.1093/bjr/tqae253","url":null,"abstract":"<p><p>The radiology report is the communication from radiologist to referrer, used to inform prognosis and guide patient management. The report is the final step in a process which is influenced by the information on the referral, image quality, the reporting environment and appropriate detection and interpretation of findings by the radiologist. It should present accurate, complete information in a way that can be easily understood. Even small improvements in any of these areas, can have a significant impact on the average quality of radiology reports, with potential impact on vast numbers of patients across the globe. How do we train our future referrers to understand the complexities of imaging and write better referrals? How do we improve image quality as close to source as possible by engaging with equipment vendors? How can we make it easier for all radiologists to have access to the latest guidelines and use reporting templates where appropriate? Every radiologist has a role to play, with possible actions ranging from individual choice to departmental policies and global collaboration. The diseases we diagnose are the same, the equipment similar and knowledge freely available. All our patients deserve the best report we can provide.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142863219","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":"CT is not the only Fish in the Sea to Detect Muscle loss and Belly Fat.","authors":"Ahmad J Abdulsalam, Murat Kara, Levent Özçakar","doi":"10.1093/bjr/tqae249","DOIUrl":"https://doi.org/10.1093/bjr/tqae249","url":null,"abstract":"","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142845898","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":"Correction: Proton therapy for prostate cancer: current state and future perspectives.","authors":"","doi":"10.1093/bjr/tqae245","DOIUrl":"https://doi.org/10.1093/bjr/tqae245","url":null,"abstract":"","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142812193","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":"A preoperative nomogram with MR elastography in identifying cytokeratin 19 status of hepatocellular carcinoma.","authors":"Yanan Gu, Kaipu Jin, Shanshan Gao, Wei Sun, Minyan Yin, Jing Han, Yunfei Zhang, Xiaolin Wang, Mengsu Zeng, Ruofan Sheng","doi":"10.1093/bjr/tqae193","DOIUrl":"https://doi.org/10.1093/bjr/tqae193","url":null,"abstract":"<p><strong>Objectives: </strong>Developing a nomogram integrating MR elastography (MRE)-based tumor stiffness and contrast-enhanced MRI in identifying cytokeratin 19 (CK19) status of hepatocellular carcinoma (HCC) preoperatively.</p><p><strong>Methods: </strong>120 CK19-negative HCC and 39 CK19-positive HCC patients undergoing curative resection were prospectively evaluated. All received MRE and contrast-enhanced MRI. Clinical and MRI tumor features were compared. Univariate and multivariate logistic regression analyses identified independent predictors for CK19 status. Receiver operating characteristic curve analysis evaluated diagnostic performance. A nomogram was established with calibration and decision curve analysis.</p><p><strong>Results: </strong>Multivariate analysis revealed serum alpha fetoprotein (AFP) level (P < 0.001), targetoid appearance (P = 0.007), and tumor stiffness (P = 0.011) as independent significant variables for CK19-positive HCC. The area under the curve for tumor stiffness was 0.729 (95% CI 0.653, 0.796). Combining these features, a nomogram-based model achieved an area under the curve value of 0.844 (95% CI 0.778, 0.897), with sensitivity, specificity, and accuracy of 76.92%, 85.00%, and 83.02%, respectively. Calibration and decision curve analyses demonstrated good agreement and optimal net benefit.</p><p><strong>Conclusions: </strong>MRE-measured tumor stiffness aids in predicting CK19 status in HCC. The combined nomogram incorporating tumor stiffness, targetoid appearance, and AFP provides a reliable biomarker for CK19-positive HCC.</p><p><strong>Advances in knowledge: </strong>MRE-measured tumor stiffness can be used to predict CK19 status in HCC. The nomogram, which integrates tumor stiffness, targetoid appearance, and AFP levels, has shown enhanced diagnostic performance. It offers a comprehensive preoperative tool for clinical decision-making, further advancing personalized treatment strategies in HCC management.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142827513","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":"Multienergy Cardiovascular CT Imaging: Current State and Future.","authors":"Konstantin Klambauer, Costanza Lisi, Lukas Jakob Moser, Victor Mergen, Thomas Flohr, Matthias Eberhard, Hatem Alkadhi","doi":"10.1093/bjr/tqae246","DOIUrl":"https://doi.org/10.1093/bjr/tqae246","url":null,"abstract":"<p><p>Multienergy cardiovascular computed tomography (CT) imaging can be defined as data acquisition at two (dual-energy) or multiple x-ray energies. Multienergy cardiovascular CT imaging provides additional qualitative and quantitative information such as material maps or virtual monoenergetic images, which are supposed to further improve the quality and diagnostic yield of CT. Recently introduced photon-counting detector CT scanners further address some of the challenges and limitations of previous, conventional CT machines, hereby enhancing and extending the applications of CT for cardiovascular imaging. This review summarizes the technical principles of multienergy cardiovascular CT imaging and addresses the optimization of image quality and discusses the various dual energy-based applications for coronary, valvular, and myocardial imaging. New developments in regard to k-edge imaging and new contrast media for multienergy cardiovascular CT imaging is being also discussed.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142827179","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":"Construction of a Multi-Parametric Ultrasonographic Nomogram for Precise Assessment of Papillary Breast Lesions.","authors":"Yunhua Li, Hui Li, Lianfang Du, Qiusheng Shi, Gang Li, Chao Jia, Lifang Jin, Hongmei Liang, Fan Li","doi":"10.1093/bjr/tqae242","DOIUrl":"https://doi.org/10.1093/bjr/tqae242","url":null,"abstract":"<p><strong>Purpose: </strong>To analyze the multi-parametric ultrasonographic (MpUS) features of atypical/malignant papillary lesions of the breast with clinical information, identify independent risk factors, and construct a nomogram to improve the diagnostic accuracy.</p><p><strong>Methods: </strong>This retrospective study analyzed consecutively hospitalized patients diagnosed with pathologically confirmed papillary breast lesions from January 2017 to June 2023. Preoperative sonographic exams, including gray-scale ultrasound (G-US), color Doppler flow imaging (CDFI), and contrast-enhanced ultrasound (CEUS), were conducted. Sonographic scans were retrospectively reviewed alongside clinicopathological data. Binary logistic regression identified independent risk factors for screening atypical/malignant papillary lesions. The receiver operating characteristic curve evaluated the predictive accuracy of these lesions, resulting in the development of a nomogram for assessing risk.</p><p><strong>Results: </strong>The study involved 176 female patients with breast papillary lesions, identifying key predictors for atypical or malignant outcomes: age 57 or order, US diameter ≥13.95 mm, resistive index ≥0.70, enlarged enhancement on CEUS, and contrast agent retention, with respective odds ratios of 6.279, 8.078, 9.246, 9.401, and 5.047. The integrated use of G-US, CDFI, and CEUS in the MpUS approach offered higher diagnostic accuracy (AUC: 0.966) than G-US or CDFI alone (0.869/0.918). CEUS particularly enhanced prediction for non-mass-like lesions, with a positive predictive value of 83.3%. A nomogram incorporating MpUS and patient age achieved an AUC of 0.956 for predicting atypical or malignant papillary lesions.</p><p><strong>Conclusion: </strong>MpUS imaging is highly effective for predicting malignant breast papillary lesions, especially considering patient age. The nomogram offers an intuitive framework for assessing malignant risk in these lesions.</p><p><strong>Advances in knowledge: </strong>Ultrasound excels in identifying papillary lesions, and integrating diverse data and multi-parametric imaging enhances malignant risk evaluation. This study establishes a predictive risk model using the nomogram method, demonstrating heightened diagnostic efficacy in breast papillary lesions.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142827514","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}