British Journal of Radiology最新文献

{"title":"Thoracic applications of photon-counting CT: where are WE after three years of clinical implementation?","authors":"Martine Remy-Jardin, Thomas Flohr, Jacques Remy","doi":"10.1093/bjr/tqaf026","DOIUrl":"https://doi.org/10.1093/bjr/tqaf026","url":null,"abstract":"<p><p>Photon-counting CT has now entered the field of clinical practice, raising expectations on the advantages that could be derived for patient management. Two main directions are under scrutinity for the medical community at large. At the present time, most attention is directed toward the confirmation of the expected improvement in image quality and the evaluation of its consequences in terms of decision-making. In parallel, new perspectives in the field of functional imaging as well as for spectral imaging are topics of active research that have not been translated in clinical practice. This review article provides an update on the current use of this technology, based on the last three years of clinical investigations. Early clinical experience is summarized, focusing on adult respiratory indications.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143575692","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":"Ultrasound S-detect system can improve diagnostic performance of less experienced radiologists in differentiating breast masses: a retrospective dual-centre study.","authors":"Liwen Du, Hongli Liu, Mengjun Cai, Jiazhen Pan, Hailing Zha, Chenlei Nie, Minjia Lin, Cuiying Li, Min Zong, Bo Zhang","doi":"10.1093/bjr/tqae233","DOIUrl":"10.1093/bjr/tqae233","url":null,"abstract":"<p><strong>Objective: </strong>To compare the performance of radiologists when assisted by an S-detect system with that of radiologists or an S-detect system alone in diagnosing breast masses on US images in a dual-centre setting.</p><p><strong>Methods: </strong>US images were retrospectively identified 296 breast masses (150 benign, 146 malignant) by investigators at 2 medical centres. Six radiologists from the 2 centres independently analysed the US images and classified each mass into categories 2-5. The radiologists then re-reviewed the images with the use of the S-detect system. The diagnostic value of radiologists alone, S-detect alone, and radiologists + S-detect were analysed and compared.</p><p><strong>Results: </strong>Radiologists had significantly decreased the average false negative rate (FNR) for diagnosing breast masses using S-detect system (-10.7%) (P < .001) and increased the area under the receiver operating characteristic curve (AUC) from 0.743 to 0.788 (P < .001). Seventy-seven out of 888 US images from 6 radiologists in this study were changed positively (from false positive to true negative or from false negative to true positive) with the S-detect, whereas 39 out of 888 US images were altered negatively.</p><p><strong>Conclusion: </strong>Radiologists had better performance for the diagnosis of malignant breast masses on US images with an S-detect system than without.</p><p><strong>Advances in knowledge: </strong>The study reported an improvement in sensitivity and AUC particularly for low to intermediate-level radiologists, involved cases and radiologists from 2 different centres, and compared the diagnostic value of using S-detect system for masses of different sizes.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"404-411"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142615170","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":"Percutaneous cryoablation therapy for abdominal wall endometriosis: a systematic review and meta-analysis.","authors":"Letícia Helena Kaça do Carmo, Stephanie Brito Ceolin de Faria, Marília da Cruz Fagundes, Laura Costa de Oliveira Lima, Sarah Verdan Moreira, Guilherme Strieder de Oliveira, Renata Vidal Leão, Emanuela Mendes Junqueira de Barros, Miriana Mariussi, Lucas Moretti Monsignore, Daniel Giansante Abud","doi":"10.1093/bjr/tqaf009","DOIUrl":"10.1093/bjr/tqaf009","url":null,"abstract":"<p><strong>Objectives: </strong>Abdominal wall endometriosis (AWE) consists of endometrial tissue between the peritoneum and the abdominal wall. The established treatment involves amenorrheic drugs-not always successful and tolerated-or invasive surgery. In this scenario, minimally invasive techniques such as cryoablation are a potential option. In this study, we primarily aimed to evaluate the efficacy of percutaneous cryoablation in reducing pain scores of AWE patients and analyze their satisfaction with the procedure and its related adverse events.</p><p><strong>Materials and methods: </strong>MEDLINE, EMBASE, and Cochrane's databases were systematically searched for studies that employed percutaneous cryoablation therapy for AWE and reported any of the outcomes of interest. The primary outcome was the reduction in the visual analog scale (VAS) score after treatment. R Software was used for the statistical analysis. Heterogeneity was assessed using I2 statistics. The Risk Of Bias In Non-Randomized Studies-of Interventions framework assessed potential bias in each selected study.</p><p><strong>Results: </strong>We included 4 studies, containing 126 patients. All articles were retrospective studies. The difference between the VAS scores before and after treatment was on average 5.97 points (95% CI 5.42-6.52; P <.01; I2 = 0%). The pooled satisfaction rate among patients in the selected studies was 93.1% (95% CI 88.66-97.34; P = .51; I2 = 0%). The pooled prevalence of adverse events was only 5.48% (95% CI 1.71-11.20; P = .58; I2 = 0%). Bias analysis showed an overall moderate risk in all included articles.</p><p><strong>Conclusion: </strong>Our study demonstrated that cryoablation could reduce pain complaints in patients, while presenting a low incidence rate of adverse effects. Randomized clinical trials with a larger number of patients are necessary for greater conclusions.</p><p><strong>Advances in knowledge: </strong>(1) AWE affects about 3.5% of women. The standard treatment is invasive surgery. (2) This meta-analysis demonstrated that cryoablation can effectively reduce pain scores while presenting a low rate of adverse effects. (3) Cryoablation is a feasible treatment for AWE, furthermore allowing shorter hospital stays and few complications for the patients.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"345-353"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143000552","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":"Diagnostic value of the ovarian adnexal reporting and data system ultrasound in ovarian masses: a 2-center study.","authors":"Fei Teng, Honglei Xie, Hong Wei, Dehong Che, Hongbo Wang, Chengwei Wu, Xin He, Xiaoqiu Dong","doi":"10.1093/bjr/tqae247","DOIUrl":"10.1093/bjr/tqae247","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to assess the diagnostic efficacy of the ovarian adnexal reporting and data system (O-RADS) and ultrasound (US) and its sub-classification system for distinguishing ovarian masses.</p><p><strong>Methods: </strong>O-RADS US was used for the retrospective analysis of 606 ovarian masses of Chinese from 2 medical centres by 2 gynaecologic sonographers with varying experience. The O-RADS 4 categories masses were further sub-classified into O-RADS 4a and O-RADS 4b through 3 different approaches (O-RADS A1/A2/A3).</p><p><strong>Results: </strong>The AUC of O-RADS US for differentiating benign from malignant ovarian masses was 0.927 (95% CI, 0.903-0.946, P < .001). The optimal cut-off value for predicting malignancy was >O-RADS 3, with sensitivity and specificity of 98.60% and 68.90%, respectively. The diagnostic efficacy of the 3 sub-classification systems surpassed that of O-RADS US (P < .05). Specifically, A2 approach (within O-RADS 4 lesions, unilocular and multilocular cysts with solid components were sub-classified as O-RADS 4b, whereas the remaining O-RADS 4 lesions were sub-classified as O-RADS 4a) resulted in an AUC of 0.942 (95% CI, 0.921-0.960, P < .001). The best cut-off value predicting malignancy was >O-RADS 4a, exhibiting relatively high specificity (82.51%) and maintaining a high sensitivity (93.01%).</p><p><strong>Conclusion: </strong>The diagnostic efficacy of O-RADS US for identifying ovarian tumours is good, but specificity is slightly lower. This study enhanced diagnostic specificity after subclassifying O-RADS 4 lesions, especially A2 approach. It holds significant clinical value for Chinese women and merits further clinical promotion and application.</p><p><strong>Advances in knowledge: </strong>The sub-classification of O-RADS US allows better identifying ovarian tumours, facilitating informed preoperative clinical management and diagnosis.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"448-457"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142906626","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":"10.1093/bjr/tqae242","url":null,"abstract":"<p><strong>Objectives: </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 examinations, 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 (area under the curve [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>Conclusions: </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":"422-431"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","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}

{"title":"Reversible electroporation for cancer therapy.","authors":"Taha Shiwani, Simran Singh Dhesi, Tze Min Wah","doi":"10.1093/bjr/tqae231","DOIUrl":"10.1093/bjr/tqae231","url":null,"abstract":"<p><p>Reversible electroporation (EP) refers to the use of high-voltage electrical pulses on tissues to increase cell membrane permeability. It allows targeted delivery of high concentrations of chemotherapeutic agents including cisplatin and bleomycin, a process known as electrochemotherapy (ECT). It can also be used to deliver toxic concentrations of calcium and gene therapies that stimulate an anti-tumour immune response. ECT was validated for palliative treatment of cutaneous tumours. Evidence to date shows a mean objective response rate of ∼80% in these patients. Regression of non-treated lesions has also been demonstrated, theorized to be from an in situ vaccination effect. Advances in electrode development have also allowed treatment of deep-seated metastatic lesions and primary tumours, with safety demonstrated in vivo. Calcium EP and combination immunotherapy or immunogene electrotransfer is also feasible, but research is limited. Adverse events of ECT are minimal; however, general anaesthesia is often necessary, and improvements in modelling capabilities and electrode design are required to enable sufficient electrical coverage. International collaboration between preclinical researchers, oncologists, and interventionalists is required to identify the most effective combination therapies, to optimize procedural factors, and to expand use, indications and assessment of reversible EP. Registries with standardized data collection methods may facilitate this.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"313-320"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11840168/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142695218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A framework for developing generic implant safety procedures for scanning patients with medical implants and devices in MRI.","authors":"Jonathan P Ashmore, Sarah J Prescott, John McLean, Daniel J Wilson, Geoff Charles-Edwards, Peter Wright, David Grainger, Gareth J Barker, Alexandra J Lipton, Rachel Watt, Deepa Gopalan, Mark R Radon","doi":"10.1093/bjr/tqae232","DOIUrl":"10.1093/bjr/tqae232","url":null,"abstract":"<p><p>UK guidelines for MR safety recommend that MRI departments refer to the implant manufacturer for advice regarding the MRI safety of scanning patients with an implantable medical device prior to scanning. This process of assuring safety can be time consuming, leading to delays and potential cancellations of a patient's MRI. Furthermore, at times the implant cannot be identified, or the implant manufacturers cannot provide up to date MRI safety information. The purpose of generic implant safety procedures is to define a process for managing patients with certain types of implants where the risk from scanning is low. This process incorporates scope for an evidence-based risk-benefit decision to scan some groups of patients under locally approved conditions, without seeking to identify the exact make and model of the implant and subsequent assurance of MR safety from the implant manufacturer. This publication provides best practice recommendations from a multi-professional working group for the development of these procedures. It is supported by The Institute of Physics and Engineering in Medicine, The Society of Radiographers, The Royal College of Radiologists, The British Institute of Radiology, The British Association of MR Radiographers, The International Society of Magnetic Resonance in Medicine British and Irish Chapter, and the NHS Scotland MRI Physics Group.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"336-344"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11840167/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142614263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the performance of ChatGPT and Bard/Gemini against radiologists for Prostate Imaging-Reporting and Data System classification based on prostate multiparametric MRI text reports.","authors":"Kang-Lung Lee, Dimitri A Kessler, Iztok Caglic, Yi-Hsin Kuo, Nadeem Shaida, Tristan Barrett","doi":"10.1093/bjr/tqae236","DOIUrl":"10.1093/bjr/tqae236","url":null,"abstract":"<p><strong>Objectives: </strong>Large language models (LLMs) have shown potential for clinical applications. This study assesses their ability to assign Prostate Imaging-Reporting and Data System (PI-RADS) categories based on clinical text reports.</p><p><strong>Methods: </strong>One hundred consecutive biopsy-naïve patients' multiparametric prostate MRI reports were independently classified by 2 uroradiologists, ChatGPT-3.5 (GPT-3.5), ChatGPT-4o mini (GPT-4), Bard, and Gemini. Original report classifications were considered definitive.</p><p><strong>Results: </strong>Out of 100 MRIs, 52 were originally reported as PI-RADS 1-2, 9 PI-RADS 3, 19 PI-RADS 4, and 20 PI-RADS 5. Radiologists demonstrated 95% and 90% accuracy, while GPT-3.5 and Bard both achieved 67%. Accuracy of the updated versions of LLMs increased to 83% (GTP-4) and 79% (Gemini), respectively. In low suspicion studies (PI-RADS 1-2), Bard and Gemini (F1: 0.94, 0.98, respectively) outperformed GPT-3.5 and GTP-4 (F1:0.77, 0.94, respectively), whereas for high probability MRIs (PI-RADS 4-5), GPT-3.5 and GTP-4 (F1: 0.95, 0.98, respectively) outperformed Bard and Gemini (F1: 0.71, 0.87, respectively). Bard assigned a non-existent PI-RADS 6 \"hallucination\" for 2 patients. Inter-reader agreements (Κ) between the original reports and the senior radiologist, junior radiologist, GPT-3.5, GTP-4, BARD, and Gemini were 0.93, 0.84, 0.65, 0.86, 0.57, and 0.81, respectively.</p><p><strong>Conclusions: </strong>Radiologists demonstrated high accuracy in PI-RADS classification based on text reports, while GPT-3.5 and Bard exhibited poor performance. GTP-4 and Gemini demonstrated improved performance compared to their predecessors.</p><p><strong>Advances in knowledge: </strong>This study highlights the limitations of LLMs in accurately classifying PI-RADS categories from clinical text reports. While the performance of LLMs has improved with newer versions, caution is warranted before integrating such technologies into clinical practice.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"368-374"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11840166/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142614792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Addition of contrast-enhanced mammography enhancement patterns and morphology for differentiating benign from malignant papillary breast lesions.","authors":"Weimin Xu, Lingjian Chen, Weixiong Zeng, Zeyuan Xu, Mengwei Ma, Weiguo Chen, Xin Liao, Chanjuan Wen, Sina Wang","doi":"10.1093/bjr/tqae241","DOIUrl":"10.1093/bjr/tqae241","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate the capability of morphological and enhancement pattern analysis in contrast-enhanced mammography (CEM) to differentiate between benign and malignant papillary breast lesions.</p><p><strong>Methods: </strong>This study involved 63 patients diagnosed with papillary breast lesions between January 2018 and December 2022. CEM was performed at two time intervals: between 2-3 min (T1, early phase) and 4-5 min (T2, later phase) after the injection of the contrast agent. For each patient, Breast Imaging Reporting and Data System (BI-RADS) lesion features were recorded. Kinetic enhancement patterns were evaluated for both phases based on these changes, followed by the measurement of diagnostic performance.</p><p><strong>Results: </strong>Among the 63 female patients, a total of 86 lesions were identified, including 18 malignant ones, three intraductal papillomas without atypical proliferation, and 42 benign papillary lesions. The areas under receiver operating characteristic curves for CEM with kinetic enhancement and for CEM alone were 0.856 and 0.800, respectively. Assessing the diagnostic value, specificity, and accuracy of morphological categorization combined with kinetic enhancement showed higher values compared to those of the CEM morphological categorization alone (71.1% vs 60.0% and 79.4% vs 71.4%, respectively). However, the sensitivity and negative predictive value of the CEM with kinetic enhancement were similar to those of CEM alone (100% for all).</p><p><strong>Conclusion: </strong>For BI-RADS 3-5 papillary breast lesions, incorporating CEM kinetic enhancement to morphological patterns improved the confidence level in diagnosis.</p><p><strong>Advances in knowledge: </strong>This article provides valuable references for distinguishing benign and malignant breast papillary lesions.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"383-391"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11840158/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","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":"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 [patient planning transit time (PPTT)] was audited for several pathways.</p><p><strong>Results: </strong>In this audit, 248 patients and 32 staff were included. PU increased with exposure to AIAC (P < .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 < .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 h 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":"375-382"},"PeriodicalIF":1.8,"publicationDate":"2025-03-01","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}