Clinical radiology最新文献

{"title":"RCR meetings","authors":"","doi":"10.1016/S0009-9260(25)00327-7","DOIUrl":"10.1016/S0009-9260(25)00327-7","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"90 ","pages":"Article 107122"},"PeriodicalIF":1.9,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333288","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":"The value of diffusion-weighted imaging (DWI) combined with serum beta-human chorionic gonadotropin (β-hCG) in evaluating the proliferative activity of chorionic trophoblasts in early tubal pregnancy.","authors":"Q-X Chen, H-Y Xie, D-H Xu, B-T Huang, Z-Y Li, J-S Liang, X-A Jin","doi":"10.1016/j.crad.2025.107022","DOIUrl":"10.1016/j.crad.2025.107022","url":null,"abstract":"<p><strong>Aim: </strong>To assess the predictive value of diffusion-weighted imaging (DWI) in combination with beta-human chorionic gonadotropin (β-hCG) for determining the proliferative activity of trophoblastic cells in early tubal pregnancy.</p><p><strong>Material and methods: </strong>This study analysed 50 ectopic pregnancy (EP) patients who underwent preoperative magnetic resonance imaging (MRI) DWI in our hospital from January 2021 to December 2023. The apparent diffusion coefficient (ADC) values of the villi were measured, combining with serum β-hCG and progesterone tests. The proliferative activity of chorionic trophoblast cells was determined using Ki67 immunohistochemical staining. The positive cell rate of chorionic villi per field of view was quantified.</p><p><strong>Results: </strong>By linear regression and correlation analysis, the ADC values of the villi were negatively correlated with β-hCG and progesterone levels (P<.001, .001, r=-0.644, -0.754), and chorionic ADC values were negatively correlated with the rate of Ki67-stained positive cells (P<.001, r=-0.863). The percentage of Ki67-stained positive cells was positively correlated with β-hCG and progesterone levels (P<.001, .001, r=0.851, 0.944). The area under the curve of β-hCG, progesterone, ADC, and the combination of β-hCG and ADC in assessing the proliferative activity of chorionic trophoblast cells were 0.937, 0.930, 0.902, and 0.978, respectively. The corresponding sensitivities were 80%, 80%, 80%, and 85%, and the specificities were 66.7%, 66.7%, 90%, and 96%, respectively.</p><p><strong>Conclusion: </strong>DWI combined with β-hCG provides accurate evaluation of the proliferative activity of trophoblasts, improving patient selection for conservative management and guiding personalised treatment strategies.</p>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"89 ","pages":"107022"},"PeriodicalIF":1.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144811868","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":"Thoracic dorsal root ganglia: visualisation of normal anatomy and pathological findings by T2 fast field echo (T2 FFE) compared with balanced fast field echo (B_FFE) and nerve-sheath signal increased with inked rest-tissue rapid acquisition of relaxation enhancement imaging (SHINKEI).","authors":"Y Yan, D She, J Hong, D Jiang, H Huang, Y Wang, W Huang, X Zhao, H Jiang, D Cao","doi":"10.1016/j.crad.2025.107020","DOIUrl":"10.1016/j.crad.2025.107020","url":null,"abstract":"<p><strong>Aim: </strong>To evaluate the clinical feasibility of magnetic resonance neurography (MRN) in detecting thoracic dorsal root ganglia (DRG).</p><p><strong>Materials and methods: </strong>Fifty-three healthy volunteers (23 males and 30 females; mean age, age range, 20-70 years) and eleven zoster-associated pain (ZAP) patients (6 males and 5 females; age range, 56-86 years) were enrolled for MRN scan. Balanced fast field echo (B_FFE), T2 fast field echo (T2 FFE), and signal increased with inked rest-tissue rapid acquisition of relaxation enhancement imaging (SHINKEI) sequences were compared for thoracic DRG imaging. The visualisation effect for the thoracic nerve root and overall image quality were scored on a 5-point Likert scale. The agreement was assessed by intraclass correlation coefficient (ICC) analysis. The contrast ratio, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) between DRG and perineural tissues were quantitatively evaluated in three sequences. Morphological changes of DRG on MRN images were evaluated in 11 patients.</p><p><strong>Results: </strong>All nerve visualisation scores of three sequences showed moderate to good agreement (ICC values > 0.75). T2 FFE images demonstrated the best visualisation scores of the thoracic spinal nerve among three sequences (all P < 0.001). The mean contrast ratio and SNR of DRG on T2 FFE images were higher than B_FFE and SHINKEI in both healthy volunteers and ZAP patients, respectively (most P < 0.001). B_FFE images showed highest CNR of DRG (all P < 0.001). Of the 11 patients, abnormalities of affected DRG were detected in 8 patients by T2 FFE sequence (72.7%), which was higher than B_FFE (4/11, 36.4%) and SHINKEI (5/11, 45.5%).</p><p><strong>Conclusion: </strong>Compared with B_FFE and SHINKEI, the T2 FFE sequence feasibly depicts the normal morphology and abnormalities of thoracic DRG.</p>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"89 ","pages":"107020"},"PeriodicalIF":1.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144811869","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 CR_Journals_AI_Conference_280x210_220925_SEB_01","authors":"","doi":"10.1016/S0009-9260(25)00306-X","DOIUrl":"10.1016/S0009-9260(25)00306-X","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"89 ","pages":"Article 107101"},"PeriodicalIF":1.9,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145154795","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(25)00303-4","DOIUrl":"10.1016/S0009-9260(25)00303-4","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"89 ","pages":"Article 107098"},"PeriodicalIF":1.9,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145154796","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":"Interventional radiology in the United Kingdom - A long-term strategic plan","authors":"R. Morgan ,&nbsp;M. Hamady ,&nbsp;T.M. Wah ,&nbsp;R. Kasthuri ,&nbsp;I. McCafferty ,&nbsp;P. Haslam ,&nbsp;N. Alesbury ,&nbsp;R. Lakshminarayan","doi":"10.1016/j.crad.2025.107094","DOIUrl":"10.1016/j.crad.2025.107094","url":null,"abstract":"<div><div>Interventional radiology has come a long way since the first angioplasty procedure performed more than 60 years ago. Today, IR performs a major role in the provision of minimal access procedural practice in hospitals throughout the UK. The British Society of Interventional Radiology (BSIR) was formed in 1988 and includes among its membership - IRs, IR trainees, IR nurses, and IR radiographers. The BSIR exists to advance the practice of IR to improve outcomes for patients. Although the Society has delivered many innovations to patients and its members, it is timely to review the progress of IR to date and to formulate a plan for the next 10 or so years. This manuscript presents the long-term strategy for interventional radiology in the UK. Five pillars that underpin the strategic plan are described in the article: 1. Improve patient care and safety, 2. Improve IR workforce planning, 3. Improve IR education and training, 4. Build IR research capability, and 5. Optimise the BSIR for interventional radiologists.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"91 ","pages":"Article 107094"},"PeriodicalIF":1.9,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145265165","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":"Comment on ‘Empowering radiology: why failing to teach artificial intelligence (AI) could cost the speciality its leadership’","authors":"K. Halliday ,&nbsp;S. Harden ,&nbsp;P. Suresh","doi":"10.1016/j.crad.2025.107100","DOIUrl":"10.1016/j.crad.2025.107100","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"91 ","pages":"Article 107100"},"PeriodicalIF":1.9,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145344027","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":"Answer to methodological comments on shear wave elastography of thenar muscles and the median nerve in Carpal Tunnel Syndrome (CTS)","authors":"M. Kaya ,&nbsp;O. Konukoğlu ,&nbsp;S.B.A. Demiroğlu","doi":"10.1016/j.crad.2025.107091","DOIUrl":"10.1016/j.crad.2025.107091","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"91 ","pages":"Article 107091"},"PeriodicalIF":1.9,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145291471","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":"Predicting the prognosis of symptomatic intracranial atherosclerotic stenosis (sICAS) patients using deep learning models: a multicenter study based on high-resolution magnetic resonance vessel wall imaging","authors":"Z. Li ,&nbsp;Y. Gao ,&nbsp;K. Zhang ,&nbsp;J. Wang ,&nbsp;L. Han ,&nbsp;B. Xie ,&nbsp;Y. Sun ,&nbsp;R. Yan ,&nbsp;Y. Li ,&nbsp;H. Cui","doi":"10.1016/j.crad.2025.107092","DOIUrl":"10.1016/j.crad.2025.107092","url":null,"abstract":"<div><h3>AIM</h3><div>Symptomatic intracranial atherosclerotic stenosis (sICAS) is a leading cause of stroke recurrence. This study aimed to develop a deep learning model based on high-resolution vessel wall imaging (HR-VWI) to improve recurrence prediction, identify high-risk patients, and guide clinical intervention.</div></div><div><h3>MATERIALS AND METHODS</h3><div>We retrospectively collected HR-VWI data from 363 patients with sICAS across two medical centres. Centre 1 (n = 254) served as the training cohort, and centre 2 (n = 109) served as the external validation cohort. Three deep learning models—ResNet50, DenseNet169, and Vision Transformer (ViT)—were used to extract features from both 2D and 3D images of culprit plaques. In addition, radiomics-based machine learning models were constructed using manually extracted features. The Least Absolute Shrinkage and Selection Operator (LASSO) algorithm was applied for feature selection, and a Naive Bayes classifier was used to predict the risk of stroke recurrence. Model performance was evaluated using the area under the curve (AUC), calibration curves, and decision curve analysis (DCA).</div></div><div><h3>RESULTS</h3><div>The 3D-ResNet50 (AUC = 0.780, 95% confidence interval [CI]: 0.638-0.92) and 3D-DenseNet169 (AUC = 0.780, 95% CI: 0.641-0.919) models significantly outperformed 2D models: 2D-ResNet50 (AUC = 0.574, 95% CI: 0.416-0.719), 2D-DenseNet169 (AUC = 0.660, 95% CI: 0.533-0.788), and radiomics (AUC = 0.698, 95% CI: 0.579-0.810). Delong's test confirmed the significance of these differences. Calibration and DCA curves further underscored the 3D models' clinical value.</div></div><div><h3>CONCLUSION</h3><div>The 3D deep learning model based on HR-VWI offers superior prediction of sICAS recurrence risk compared to 2D models and radiomics, aiding clinical decision-making and high-risk patient identification.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"91 ","pages":"Article 107092"},"PeriodicalIF":1.9,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145291427","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":"Clinical evaluation of [18F]fluoro-2-deoxy-d-glucose positron emission tomography-magnetic resonance imaging ([18F]FDG PET-MRI) and [18F]FDG PET-computed tomography ([18F]FDG PET-CT) for lymph node assessment in head and neck squamous cell carcinoma","authors":"E. Droogers ,&nbsp;I.J. Pruis ,&nbsp;A.W. van der Eerden ,&nbsp;C.E.M. Kromkamp ,&nbsp;H.L.W. Weber ,&nbsp;J.A. Hardillo ,&nbsp;T.J. de Jong ,&nbsp;A.A. Harteveld ,&nbsp;R. Valkema ,&nbsp;S.E.M. Veldhuijzen van Zanten","doi":"10.1016/j.crad.2025.107095","DOIUrl":"10.1016/j.crad.2025.107095","url":null,"abstract":"<div><h3>AIM</h3><div>This retrospective study evaluated the accuracy of hybrid 2-[18F]fluoro-2-deoxy-d-glucose ([18F]FDG) positron emission tomography-magnetic resonance imaging (PET-MRI) and [18F]fluoro-2-deoxy-d-glucose positron emission tomography-computed tomography ([18F]FDG PET-CT) for lymph node assessment in patients with head and neck squamous cell carcinoma (HNSCC) within routine clinical care.</div></div><div><h3>MATERIALS AND METHODS</h3><div>Patients with HNSCC underwent either [18F]FDG PET-MRI or [18F]FDG PET-CT following a dedicated head and neck and whole-body protocol. Data on lymph nodes, both individually and pooled by ipsilateral and contralateral sides, were extracted from [18F]FDG PET-MRI/-CT reports. Lymph nodes and sides were categorised as malignant, suspicious, or benign. As a reference standard, results from pathology, follow-up imaging, or the conclusion established by a multidisciplinary team were used. Both lesion-wise and patient-wise analyses were performed.</div></div><div><h3>RESULTS</h3><div>A total of 256 patients were included: 130 underwent [18F]FDG PET-MRI (mean age 65 ± 11, 69% male) and 126 underwent [18F]FDG PET-CT (mean age 68 ± 10, 69% male). For lymph nodes classified as malignant or benign, both modalities showed high true-positive and negative rates (96–100%) in both lesion- and patient-wise analyses. Lymph nodes deemed suspicious on [18F]FDG PET-MRI and [18F]FDG PET-CT were pathologically confirmed as malignant in 18% and 9% of cases, respectively.</div></div><div><h3>CONCLUSION</h3><div>[18F]FDG PET-MRI/-CT demonstrate high accuracy in identifying malignant and benign lymph nodes. [18F]FDG PET-MRI shows slightly higher accuracy for suspicious lymph nodes, although diagnostic challenges remain. Advancements in imaging techniques and disease-specific tracers may improve lymph node evaluation in HNSCC, warranting prospective clinical trials to ultimately reduce reliance on pathological confirmation and minimise diagnostic delays.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"91 ","pages":"Article 107095"},"PeriodicalIF":1.9,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145265168","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}