Clinical radiology最新文献

{"title":"Improving the process of CT thorax acquisition and reporting prior to lung resection","authors":"Adam Djouani, Claudia Tomei","doi":"10.1016/j.crad.2025.106881","DOIUrl":"10.1016/j.crad.2025.106881","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"83 ","pages":"Article 106881"},"PeriodicalIF":2.1,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828219","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":"Audit of CT aortogram yield in evaluation of suspected acute aortic syndrome","authors":"Nikhil Nair, Geethu Punnen, Huma Khosa, Neelam Saleem, Mohd Shadab Siddique","doi":"10.1016/j.crad.2025.106900","DOIUrl":"10.1016/j.crad.2025.106900","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"83 ","pages":"Article 106900"},"PeriodicalIF":2.1,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828258","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":"Preoperative chest imaging in elective cardiothoracic surgery in a tertiary cardiothoracic centre","authors":"Khaled Aljboor, Saif Alshdifat, Rebecca Storey, Rama Toukan, Wael Awad, Amir Awwad","doi":"10.1016/j.crad.2025.106902","DOIUrl":"10.1016/j.crad.2025.106902","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"83 ","pages":"Article 106902"},"PeriodicalIF":2.1,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828260","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":"Correlation of PRECISE score with histological progression in prostate cancer patients","authors":"Kim Houng Lim, Mohammed Musheb, Anjali Nandakumar, Senthil Ragupathy","doi":"10.1016/j.crad.2025.106899","DOIUrl":"10.1016/j.crad.2025.106899","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"83 ","pages":"Article 106899"},"PeriodicalIF":2.1,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828257","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":"Neonatal spinal ultrasound for closed spinal dysraphism: an audit of the referral indications and results across three north London hospitals","authors":"Jessica Carter , Ronica Pulikal , Jody Maclachlan , Maria Nordlander , Jeremy Berger","doi":"10.1016/j.crad.2025.106901","DOIUrl":"10.1016/j.crad.2025.106901","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"83 ","pages":"Article 106901"},"PeriodicalIF":2.1,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828259","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":"Radiological–pathological diagnostic rate of the British Thyroid Association ultrasound classification of thyroid nodules at North Middlesex University Hospital","authors":"Madeline Shenouda, Edwin Ruhinda","doi":"10.1016/j.crad.2025.106887","DOIUrl":"10.1016/j.crad.2025.106887","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"83 ","pages":"Article 106887"},"PeriodicalIF":2.1,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828236","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 effect of catheter-directed thrombolysis combined with intermittent pneumatic compression on lower extremity deep venous thrombosis","authors":"H. Wang ,&nbsp;J. Shen","doi":"10.1016/j.crad.2025.106929","DOIUrl":"10.1016/j.crad.2025.106929","url":null,"abstract":"<div><h3>AIM</h3><div>This study investigated the effectiveness of catheter-directed thrombolysis (CDT) combined with intermittent pneumatic compression (IPC) in patients with lower extremity deep venous thrombosis (LEDVT).</div></div><div><h3>Materials and Methods</h3><div>A retrospective analysis was conducted on 68 LEDVT patients. Those who received CDT with IPC were assigned to the IPC group, while those who underwent CDT alone were designated as the control group. Both groups were further divided into early and late subgroups based on the time from symptom onset to CDT. Data collected included the cumulative urokinase dosage, CDT duration, and other relevant clinical indicators.</div></div><div><h3>Results</h3><div>The cumulative urokinase dosage was lower in the IPC group than in the control group (<em>P</em>&lt;0.05). CDT duration was shorter in the IPC group than in the control group and was also shorter in the early subgroup compared with the late subgroup (all <em>P</em>&lt;0.05). The peak D-dimer occurred earlier in the IPC group than in the control group (<em>P</em>&lt;0.05). The incidence of grade II–III thrombolysis was higher in the IPC group than in the control group on days 2 and 3 of CDT (all <em>P</em>&lt;0.05). The IPC group showed a greater reduction in thigh and calf circumference than the control group on days 3 and 4 of CDT (all <em>P</em>&lt;0.05).</div></div><div><h3>Conclusions</h3><div>In LEDVT patients, CDT combined with IPC reduced the cumulative urokinase dosage, shortened CDT duration, promoted earlier deep vein patency, and accelerated the relief of lower extremity swelling.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"86 ","pages":"Article 106929"},"PeriodicalIF":2.1,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947685","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 “Studying cognition impairment in patients with minimal hepatic encephalopathy through functional connectivity analysis: evidence from resting-state functional MRI”","authors":"V.D. Kumar Veld ,&nbsp;R. Mehta ,&nbsp;R. Sah","doi":"10.1016/j.crad.2025.106925","DOIUrl":"10.1016/j.crad.2025.106925","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"86 ","pages":"Article 106925"},"PeriodicalIF":2.1,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143989545","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":"Radiomics for lung cancer diagnosis, management, and future prospects","authors":"M. Boubnovski Martell,&nbsp;K. Linton-Reid,&nbsp;M. Chen,&nbsp;E.O. Aboagye","doi":"10.1016/j.crad.2025.106926","DOIUrl":"10.1016/j.crad.2025.106926","url":null,"abstract":"<div><div>Lung cancer remains the leading cause of cancer-related mortality worldwide, with its early detection and effective treatment posing significant clinical challenges. Radiomics, the extraction of quantitative features from medical imaging, has emerged as a promising approach for enhancing diagnostic accuracy, predicting treatment responses, and personalising patient care. This review explores the role of radiomics in lung cancer diagnosis and management, with methods ranging from handcrafted radiomics to deep learning techniques that can capture biological intricacies.</div><div>The key applications are highlighted across various stages of lung cancer care, including nodule detection, histology prediction, and disease staging, where artificial intelligence (AI) models demonstrate superior specificity and sensitivity. The article also examines future directions, emphasising the integration of large language models, explainable AI (XAI), and super-resolution imaging techniques as transformative developments. By merging diverse data sources and incorporating interpretability into AI models, radiomics stands poised to redefine clinical workflows, offering more robust and reliable tools for lung cancer diagnosis, treatment planning, and outcome prediction. These advancements underscore radiomics’ potential in supporting precision oncology and improving patient outcomes through data-driven insights.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"86 ","pages":"Article 106926"},"PeriodicalIF":2.1,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923556","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":"Delta-radiomics features combined with haematological index predict pathological complete response after neoadjuvant immunochemotherapy in resectable non-small cell lung cancer","authors":"D. Xiong ,&nbsp;J. Li ,&nbsp;L. Li ,&nbsp;F. Xu ,&nbsp;T. Hu ,&nbsp;H. Zhu ,&nbsp;X. Xu ,&nbsp;Y. Sun ,&nbsp;S. Yuan","doi":"10.1016/j.crad.2025.106906","DOIUrl":"10.1016/j.crad.2025.106906","url":null,"abstract":"<div><h3>Aim</h3><div>This study aimed at assessing the value of enhanced computed tomography (CT)-based delta-radiomics features (Delta-RFs) and Delta-RFs combined with haematological dynamic changes in predicting pathological complete response (PCR) after neoadjuvant immunochemotherapy in non-small cell lung cancer (NSCLC).</div></div><div><h3>Materials and Methods</h3><div>From January 2021 to August 2023, in total, 165 patients with stage IB–IIIB NSCLC (training, n=115, validation, n=50) who received neoadjuvant immunochemotherapy before surgery, were retrospectively enrolled. Radiomic features were extracted from tumour region of interest on pretreatment and pre-operation enhanced CT images. Delta-RFs are defined as the relative net change in radiomics features between pre-neoadjuvant immunochemotherapy and pre-operation stage. The least absolute shrinkage and selection operator was used to ensure optimal feature selection to calculate the radiomics score (Rad-score) for predicting PCR. Univariate and multivariate logistic regression analyses were performed to screen the factors related to PCR and predictive models were then constructed.</div></div><div><h3>Results</h3><div>Forty percent patients showed PCR (66/165) after neoadjuvant immunochemotherapy. Nine Delta-RFs were selected as the most predictive factors for PCR. Logistic regression analysis showed that the Rad-score (OR = 8.542, 95% CI: 3.367–21.673, <em>P</em>&lt;0.001) and ΔLMR (OR = 2.637, 95% CI: 1.094–6.359, <em>P</em>=0.031) were independent factors associated with PCR. With respect to predicting PCR, the Delta-RF model and the combined model both achieved satisfactory areas under the curve in the training (area under the curve [AUC]: 0.74, 0.788) and the validation was found to be cohort (AUC: 0.718, 0.737). The calibration curve showed that the predicted value of Delta-RF combined with haematological dynamic change model was in good agreement with the observed value. Decision curve analysis represented that the model exhibits high clinical practicability.</div></div><div><h3>Conclusions</h3><div>The Delta-RF model based on enhanced CT and the combined model can aid in efficient prediction of PCR after neoadjuvant immunochemotherapy in NSCLC, and the combined model can predict PCR performance better than Delta-RF model alone after neoadjuvant immunochemotherapy.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"86 ","pages":"Article 106906"},"PeriodicalIF":2.1,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935888","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}