European Journal of Radiology最新文献

{"title":"Evaluation of recall rates in the Irish national breast screening programme: Insights from two million screening mammograms","authors":"Sophie Murphy ,&nbsp;Therese Mooney ,&nbsp;Niall Phelan ,&nbsp;Alan Smith ,&nbsp;Louise Campbell ,&nbsp;Alissa Connors ,&nbsp;Aideen Larke ,&nbsp;Sorcha McNally ,&nbsp;Patricia Fitzpatrick ,&nbsp;Maeve Mullooly ,&nbsp;Fidelma Flanagan","doi":"10.1016/j.ejrad.2025.112179","DOIUrl":"10.1016/j.ejrad.2025.112179","url":null,"abstract":"<div><h3>Background</h3><div>Breast cancer screening aims to reduce breast cancer mortality and morbidity through early detection and treatment. Recall rate is a key performance indicator of population-based breast screening, representing the proportion of women recalled for further evaluation. Guidance on acceptable recall rates vary internationally.</div></div><div><h3>Aim</h3><div>To examine recall patterns and characteristics within the population-based breast screening programme in Ireland.</div></div><div><h3>Methods</h3><div>An anonymous aggregate retrospective study of 2,031,995 mammography screening examination results, was conducted between 2000 and 2019. Descriptive patterns of recall rates and characteristics were examined and stratified by prevalent and incident examinations. Differences across the time-periods (2000–2008, 2009–2017 and 2018–2019) were assessed using Chi-square tests.</div></div><div><h3>Results</h3><div>Recall rate for screening examinations conducted during the full study period was 4.05 % (n = 82,338/2,031,995). Across three time-periods examined, recall rates among the prevalent screening examination group, increased, from 5.5 % to 8.0 % to 10.0 % and within the incident group from 2.3 % to 2.8 % to 3.0 %. Recalls due to calcifications and asymmetry increased over the time periods, most notably within the prevalent examinations where recalls due to calcification increased from 6.0/1,000 to 9.0/1,000 to 13.4/1,000 (p &lt; 0.001), whilst recalls due to asymmetry increased from 17.1/1,000 to 31.3/1,000 to 41.0/1,000 (p &lt; 0.001). Overall, among both prevalent and incident screening examinations, an increase in the cancer detection rate (CDR) was observed (p = 0.005 and p &lt; 0.001 respectively). However, the overall positive predictive value (PPV) remained relatively stable.</div></div><div><h3>Conclusion</h3><div>This study highlights the upward trajectory of recall within Ireland’s national breast screening service. The findings highlight the need for discussions among a diverse range of stakeholders, including national and international screening networks, to determine the optimal recall rate to ensure the benefits of screening are maximised and all potential harms are minimised.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112179"},"PeriodicalIF":3.2,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117039","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":"Personalized high pitch CTPA facilitates a reduction of contrast agent volume","authors":"Raoul Varga,&nbsp;Florian Weiss,&nbsp;Marcus Raudner,&nbsp;Helmut Prosch,&nbsp;Rüdiger E. Schernthaner","doi":"10.1016/j.ejrad.2025.112172","DOIUrl":"10.1016/j.ejrad.2025.112172","url":null,"abstract":"<div><h3>Purpose</h3><div>Despite advancements in computed tomography pulmonary angiography (CTPA), optimizing contrast agent (CA) volume remains crucial due to inter-patient hemodynamic variability. This study aimed to evaluate a personalized scan delay approach using a test bolus technique to minimize CA volume while maintaining diagnostic image quality.</div></div><div><h3>Patient and Methods</h3><div>A prospective trial (n = 97) was conducted on patients referred for CTPA due to suspected pulmonary embolism (PE). The study group (n = 77) underwent CTPA with a reduced CA volume (20 mL Iomeron 400 i.v.) guided by a test bolus technique to determine the optimal scan delay. Standard CTPA exclusion criteria were applied; no study-related exclusion criteria were defined. A retrospectively selected control group (n = 31) underwent CTPA using a standard bolus tracking protocol with 50 mL Iomeron 400 i.v. Two independent readers performed image analysis.</div></div><div><h3>Results</h3><div>PE was detected in 21 patients in the study group and y patients in the control group. Attenuation values in the pulmonary trunk were significantly lower in the study group (mean 336 ± 116 HU) compared to the control group (mean 517 ± 185 HU) (p &lt; 0.001). However, a comparable proportion of patients in both groups achieved diagnostic attenuation values (&gt;200 HU) in the pulmonary trunk. The superior vena cava (SVC) attenuation was significantly higher in the control group (mean 1241 ± 795 HU) compared to the study group (mean 430 ± 337 HU) (p &lt; 0.001), suggesting potentially suboptimal contrast timing in the standard protocol.</div></div><div><h3>Conclusion</h3><div>Personalized high-pitch CTPA, guided by a test bolus technique, facilitates an optimized scan delay, enabling a significant reduction in contrast agent volume while preserving diagnostic attenuation of the pulmonary arteries. This approach may be particularly beneficial in patients at risk for contrast-induced nephropathy.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112172"},"PeriodicalIF":3.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144166681","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":"Improving the diagnostic accuracy of small renal masses: Integration of radiomics and clear cell likelihood scores in multiparametric MRI","authors":"Ismet Mirac Cakir ,&nbsp;Uluhan Eryuruk ,&nbsp;Enes Gurun ,&nbsp;Tumay Bekci ,&nbsp;Gokhan Tonkaz ,&nbsp;Eser Bulut ,&nbsp;Ali Kupeli ,&nbsp;Serdar Aslan","doi":"10.1016/j.ejrad.2025.112174","DOIUrl":"10.1016/j.ejrad.2025.112174","url":null,"abstract":"<div><h3>Objectives</h3><div>Accurate diagnosis of small renal masses is crucial for treatment planning. Combining radiomics analysis with the Clear Cell Likelihood Score (ccLS) in multiparametric MRI can effectively assess malignancy risk. This study aimed to evaluate the contribution of MRI-based radiomics analysis to the diagnostic performance of the ccLS in differentiating clear cell renal carcinoma (ccRCC).</div></div><div><h3>Materials and methods</h3><div>This retrospective study included patients with cT1a renal masses who underwent preoperative MRI and nephrectomy. Radiomic features were extracted from multiparametric MRI images, including T2-weighted imaging and contrast-enhanced T1-weighted imaging sequences. Qualitative assessment was performed using the ccLS version 2.0, based on multiparametric MRI findings. The diagnostic efficacies of the ccLS, radiomic analysis, and the combination of the two methods in differentiating ccRCCs were analyzed.</div></div><div><h3>Results</h3><div>A total of 72 small renal masses (43 ccRCC and 29 non-ccRCC) from 68 patients were evaluated. Using ccLS alone, lesions classified as ccLS ≥ 4 were identified as ccRCCs with a sensitivity of 83.3% and specificity of 73.3%. Radiomic analysis revealed significant differences between ccRCC and non-ccRCC lesions, with AUC values ranging from 0.48 to 0.87 across different features. The combined use of radiomic features and ccLS improved the differentiation of ccRCCs, achieving a sensitivity of 90.7%, specificity of 78.4%, and an AUC of 0.88. In lesions classified as ccLS 3 (equivocal), radiomic analysis alone distinguished ccRCCs with 100% sensitivity and 62.5% specificity.</div></div><div><h3>Conclusions</h3><div>This study’s findings demonstrated that radiomics analysis successfully differentiated lesions with a ccLS 3 and that the use of radiomic analysis in combination with ccLS successfully differentiated ccRCC and non-ccRCC lesions.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112174"},"PeriodicalIF":3.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144105713","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":"A practical approach to quality improvement in medium sized radiology departments","authors":"P.M. Tetteroo ,&nbsp;C. van Dam-Grinwis ,&nbsp;B.K. Velthuis ,&nbsp;N.R. van der Werf ,&nbsp;D. Suchá ,&nbsp;A.M.R. Schilham ,&nbsp;P.A. de Jong","doi":"10.1016/j.ejrad.2025.112170","DOIUrl":"10.1016/j.ejrad.2025.112170","url":null,"abstract":"<div><div>Quality maintenance and improvement in radiology departments is a dynamic process, driven in part by rapid technological advancements. The setting for this article is an academic radiology department with 29 staff radiologists. With limited resources and a bottom-up strategy, we have successfully reduced radiation dose with the introduction of iterative reconstruction techniques and implemented a ‘walk-in’ CT service, allowing patients to undergo imaging without needing a prior appointment. The radiological and management literature mainly describes extensive quality management systems. However, such comprehensive quality management systems are often not feasible outside large radiology departments. In this article, we present a practical example as a blueprint for managing quality in our department, more specifically the CT unit. In the example, we focus on contrast reduction using spectral dual-layer computed tomography (DLCT). We outline how in smaller sized radiology departments changes can be implemented safely and effectively into daily clinical practice. Our approach emphasizes key principles: regular meetings with a multi-disciplinary team, radiographers taking the lead, simple and fast picture archiving and communication system (PACS) integrated feedback, and rapid change cycles. Although implementing new knowledge, technology and ideas will incur some costs and depend on local culture and specific settings, we believe this article can serve as a valuable guide for radiology departments of all sizes.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112170"},"PeriodicalIF":3.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117077","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 value of the MRA-MTC-rLMC score and cerebral blood flow changes in prognosis evaluation of chronic middle cerebral artery occlusion","authors":"Xiangxiang Wu ,&nbsp;Xingru Xu ,&nbsp;Baodong Gu ,&nbsp;Yun Meng ,&nbsp;Kaixi Xu","doi":"10.1016/j.ejrad.2025.112177","DOIUrl":"10.1016/j.ejrad.2025.112177","url":null,"abstract":"<div><h3>Objective</h3><div>To evaluate the clinical value of improved three-dimensional time-of-flight magnetic resonance angiography (3D-TOF-MRA) with magnetization transfer contrast (MTC) regional leptomeningeal collateral (MRA-MTC-rLMC) scoring and three-dimensional pseudo-continuous arterial spin labeling (3D-pcASL) in assessing cerebral blood flow (CBF) changes and predicting the prognosis of chronic middle cerebral artery occlusion (CMCAO).</div></div><div><h3>Methods</h3><div>This study included 45 patients with CMCAO. All patients underwent MRA, and 3D pcASL examinations and were classified into good and poor collateral circulation groups based on improved MRA-MTC-rLMC. Univariate analyses of clinical data were performed using independent sample t-tests, Mann-Whitney U tests, or Chi-square tests. The predictive ability of rLMC scores and CBF for adverse outcomes was assessed using the area under the receiver operating characteristic (ROC) curve (AUC). Optimal cutoff values were used to categorize patients, and prognostic differences between groups were analyzed.</div></div><div><h3>Results</h3><div>Of the 45 patients, 16 (35.6 %) had right-side occlusion and 29 (64.4 %) had left-side occlusion. In the good collateral circulation group (19 cases, 42.2 %), 14 patients (73.7 %) exhibited high perfusion and 5 (26.3 %) showed low perfusion. In the poor collateral circulation group (26 cases, 57.8 %), 2 patients (7.7 %) exhibited high perfusion, while 24 (92.3 %) showed low perfusion. During follow-up, 22 patients experienced poor outcomes. The AUC for predicting poor prognosis was 0.913 (95 % CI: 0.818–1.000) for MRA-MTC-rLMC scores and 0.794 (95 % CI: 0.656–0.938) for CBF perfusion (both P &lt; 0.001). The predictive ability of MRA-MTC-rLMC scores was significantly higher than that of CBF perfusion (Z = 2.001, P = 0.045).</div><div>CBF on the affected side was significantly higher in the good prognosis group compared to the poor prognosis group (t = 3.443, P = 0.001). The distribution of CBF differed significantly between the groups, with higher isothermal perfusion ratios observed in the good prognosis group (χ² = 22.607, P &lt; 0.001). The good collateral circulation group had a higher good prognosis rate compared to the poor collateral group (χ² = 31.455, P &lt; 0.001). Similarly, the high-perfusion group showed a higher good prognosis rate than the low-perfusion group (χ² = 19.050, P &lt; 0.001).</div></div><div><h3>Conclusion</h3><div>The improved MRA-MTC-rLMC score and CBF changes can objectively reflect the varying degrees of collateral circulation and CBF in CMCAO. These methods provide reliable prognostic indicators and a basis for clinical decision-making in CMCAO management.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112177"},"PeriodicalIF":3.2,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072632","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":"CMR-based T2 RV/LV blood pool ratio: Help for risk stratification in heart failure","authors":"Siying Ma,&nbsp;Junjie Zhou,&nbsp;Cailing Pu,&nbsp;Fuyan Wang,&nbsp;Qiuhui Hu,&nbsp;Yan Wu,&nbsp;Feidan Yu,&nbsp;Lingjie Zhang,&nbsp;Chengbin He,&nbsp;Hongjie Hu","doi":"10.1016/j.ejrad.2025.112178","DOIUrl":"10.1016/j.ejrad.2025.112178","url":null,"abstract":"<div><h3>Objectives</h3><div>Blood pool signals on T2 map can reflect intracardiac blood oxygenation. This study aimed to evaluate the T2 RV/LV blood pool ratio (T2 ratio) as a potential parameter for risk stratification in heart failure (HF) patients.</div></div><div><h3>Methods</h3><div>217 HF patients undergoing cardiac MRI were categorized into major adverse cardiovascular events (MACE) and No MACE groups. Regions of interest were delineated in the bi-ventricular blood pools on T2 maps to calculate T2 ratios. Clinical and imaging parameters were compared between groups, and independent predictors of MACE were identified using Cox regression analysis. Associations between T2 ratios and other parameters were explored. Survival analyses were conducted across low, moderate, and high-risk groups. Finally, predictive performance for MACE was compared among different models.</div></div><div><h3>Results</h3><div>The T2 ratio was lower in MACE group (0.65 ± 0.12 vs 0.75 ± 0.12, P &lt; 0.001) and was identified as an independent prognostic predictor of adverse outcomes in HF (HR: 0.966, P = 0.044). The association between T2 ratio and left ventricular ejection fraction (LVEF) followed distinct patterns in different ranges, with a transition around LVEF ≈ 50 %. Survival analysis demonstrated a stepwise decline in event-free survival from low- to high-risk groups (P &lt; 0.05). Finally, the predictive model G incorporating myocardial T1 and T2 ratio demonstrated superior predictive efficacy (C-statistic: 0.806, IBS: 0.087).</div></div><div><h3>Conclusions</h3><div>A lower T2 ratio was associated with a higher risk of MACE in HF patients. This parameter may serve as a valuable tool for risk stratification in clinical practice.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112178"},"PeriodicalIF":3.2,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144166680","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":"Improving image quality and diagnostic performance using deep learning image reconstruction in 100-kVp CT enterography for patients with wide-range body mass index","authors":"Yan Luo ,&nbsp;Youfa Tang ,&nbsp;Suping Chen ,&nbsp;Hao Tang ,&nbsp;Yiqi Cheng ,&nbsp;Fan Zhang ,&nbsp;Yaqi Shen ,&nbsp;Qiuxia Wang","doi":"10.1016/j.ejrad.2025.112167","DOIUrl":"10.1016/j.ejrad.2025.112167","url":null,"abstract":"<div><h3>Objective</h3><div>To assess the clinical value of the deep learning image reconstruction (DLIR) algorithm compared with conventional adaptive statistical iterative reconstruction-Veo (ASiR-V) in image quality, diagnostic confidence, and intestinal lesion detection in 100-kVp CT enterography (CTE) for patients with wide-range body mass index (BMI).</div></div><div><h3>Methods</h3><div>A total of 84 patients underwent 100-kVp dual-phase CTE were included. Images were reconstructed using filtered back projection (FBP), ASiR-V 30 %, ASiR-V 60 %, and DLIR with low, medium, and high levels (DLIR-L, DLIR-M, and DLIR-H). The CT value, standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of small and large intestines were compared using repeated measures analysis of variance with the Bonferroni correction or Friedman test. The correlation between relative CNR increment and BMI was analyzed using Pearson’s correlation coefficient. The overall image quality and diagnostic confidence scores were evaluated. Additionally, lesion detection of intestinal disease was conducted by three readers with different experience and compared between DLIR-M and ASiR-V 60 % images using McNemar’s test.</div></div><div><h3>Results</h3><div>SD decreased sequentially from FBP, ASiR-V 30 %, DLIR-L, ASiR-V 60 %, DLIR-M, to DLIR-H, which corresponded with improvements in CNR and SNR (all <em>p</em> &lt; 0.001). The relative CNR increment of DLIR exhibited a significantly positive linear correlation with BMI (r:0.307–0.506, all <em>p</em> ≤ 0.005). For overall image quality scores, the ranking was: FBP &lt; ASiR-V 30 % &lt; ASiR-V 60 % ≈DLIR-L &lt; DLIR-M ≈ DLIR-H. DLIR-M outperformed ASiR-V 60 % in diagnostic confidence (<em>p</em> ≤ 0.018 for all three readers). In lesion detection, for the two junior readers, DLIR-M exhibited higher sensitivity for inflammatory lesions compared to ASiR-V 60 % (0.700 (95 % confidence interval [95 % CI]: 0.354–0.919) vs. 0.300 (95 % CI: 0.081–0.646) for reader 1 and 0.700 (95 %CI: 0.354–0.919) vs. 0.500 (95 % CI: 0.201–0.799) for reader 2), though no statistical significance was reached.</div></div><div><h3>Conclusion</h3><div>DLIR effectively reduces noise and improves image quality in 100-kVp dual-phase CTE for wide-range BMIs. DLIR-M exhibits superior performance in image quality and diagnostic confidence, also provide potential value in improving intestinal inflammatory lesion detection in junior readers and sheds lights on benefiting clinical decision making, which needs further investigation.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112167"},"PeriodicalIF":3.2,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144088934","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":"Comparison of clinical, radiomics, deep learning, and fusion models for predicting early recurrence in locally advanced rectal cancer based on multiparametric MRI: a multicenter study","authors":"Zhiheng Li ,&nbsp;Yangyang Qin ,&nbsp;Xiaoqing Liao ,&nbsp;Enqi Wang ,&nbsp;Rongzhi Cai ,&nbsp;Yuning Pan ,&nbsp;Dandan Wang ,&nbsp;Yan Lin","doi":"10.1016/j.ejrad.2025.112173","DOIUrl":"10.1016/j.ejrad.2025.112173","url":null,"abstract":"<div><h3>Objective</h3><div>Predicting early recurrence (ER) in locally advanced rectal cancer (LARC) is critical for clinical decision-making. This study aimed at comparing clinical, deep learning (DL), radiomics, and two fusion models for ER prediction based on multiparametric MRI.</div></div><div><h3>Methods</h3><div>This retrospective study involved 337 LARC patients from four centers between January 2016 and September 2021. Radiomics and DL features were extracted from preoperative multiparametric MRI, including T2WI, DWI, T1WI, and contrast-enhanced T1WI (CET1WI). The extreme gradient boosting (XGBoost) classifier was applied to establish the clinical model, radiomics model, DL model, and two fusion models (the feature-based early fusion model and the decision-based late fusion model). The area under the curve (AUC), DeLong test, calibration curve, and decision curve analysis (DCA) were used to assess models. Kaplan-Meier analysis was conducted to determine the prognostic value of the models by evaluating the differences in recurrence-free survival (RFS) between the high- and low-risk patients of ER.</div></div><div><h3>Results</h3><div>The late fusion model demonstrated the best performance compared with the early fusion model, clinical, radiomics and DL models, with the highest AUC (0.863–0.880) across all cohorts. In addition, the late fusion model exhibited the highest clinical net benefit, and good calibration. Kaplan-Meier survival curves showed that high-risk patients of ER defined by the late fusion model had a worse RFS than low-risk ones of ER (log-rank <em>p</em> &lt; 0.001).</div></div><div><h3>Conclusions</h3><div>The late fusion model can accurately predict ER in LARC and may serve as a clinically useful, non-invasive tool for optimizing treatment strategies and monitoring disease progression.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112173"},"PeriodicalIF":3.2,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144098914","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":"Local anaesthesia and pain management in image-guided breast interventions: Empathy in action","authors":"Rodrigo Alcantara ,&nbsp;E.Natalia Arenas ,&nbsp;Javier Azcona ,&nbsp;Mireia Pitarch ,&nbsp;Elisenda Vall ,&nbsp;Elisabet Vila-Trias ,&nbsp;Belen Ejarque ,&nbsp;José Maria Maiques ,&nbsp;Antonio Montes","doi":"10.1016/j.ejrad.2025.112176","DOIUrl":"10.1016/j.ejrad.2025.112176","url":null,"abstract":"<div><div>Effective pain management is critical in image-guided breast interventions, directly contributing to patient comfort and procedural success. This review provides breast radiologists with actionable insights into pain mechanisms, the optimisation of local anaesthetic delivery, and practical supplementary methods to minimise injection discomfort. Evidence-based techniques, including buffering, warming of solutions, and the addition of vasoconstrictors, are explored. Pharmacological properties, safety considerations, and innovative approaches, including patient-centred care and anxiety management strategies, are also discussed. Together, these considerations form a comprehensive framework to advance practices and elevate the standard of care in breast interventions.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112176"},"PeriodicalIF":3.2,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134646","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":"Abdominal vascular compression syndromes: A pictorial review","authors":"Daniel L. Cardoso ,&nbsp;Beatriz A. de Macedo ,&nbsp;Roddie M. Neto ,&nbsp;Maria Tereza L. Cardoso ,&nbsp;Larissa Marciano ,&nbsp;Lucas de Pádua Gomes de Farias ,&nbsp;José A.B. Araújo Filho ,&nbsp;Giovanni G. Cerri ,&nbsp;Rodrigo L. Azambuja ,&nbsp;Thiago D.R. Vieira","doi":"10.1016/j.ejrad.2025.112169","DOIUrl":"10.1016/j.ejrad.2025.112169","url":null,"abstract":"<div><div>Abdominal vascular compression syndromes (AVCS) refer to the entrapment of blood vessels between surfaces in a restricted space, a phenomenon that may cause clinical manifestations and can be identified using imaging methods. Although uncommon, their hemodynamic repercussions may lead to potential morbidity and should therefore be recognized by radiologists, who play a crucial role in diagnosing these conditions. Contrast-enhanced computed tomography (CECT) is the imaging modality of choice, primarily valued for its precision in identifying anatomical abnormalities, thereby facilitating appropriate management and reducing the risk of subsequent complications. Follow-up may range from conservative to invasive approaches, including surgical and endovascular procedures. This pictorial review focuses on the main imaging patterns of AVCS. Our objective is to enhance radiologists’ ability to discern abdominal vascular anatomy, its interrelations with neighboring structures and its variants, and assist in the analysis of potential etiologies and pathophysiological mechanisms associated with these anomalies.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112169"},"PeriodicalIF":3.2,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144083990","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}