European Journal of Radiology最新文献

{"title":"Corrigendum to “Safety and feasibility of percutaneous pulsed electrical field ablation in multiple organs: A multi-center retrospective study” [Eur. J. Radiol. 187C (2025) 112078]","authors":"William H. Moore , Mikhail Silk , Priya Bhattacharji , Bradley B. Pua , Joseph Mammarappallil , R. Ryan Meyerhoff , Jonathan Kessler , Jordan Tasse , Dustin Gulizia","doi":"10.1016/j.ejrad.2025.112197","DOIUrl":"10.1016/j.ejrad.2025.112197","url":null,"abstract":"","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112197"},"PeriodicalIF":3.2,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144177426","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":"MRI-based predictive model with obesity metabolic phenotype for postoperative survival in HBV-related hepatocellular carcinoma","authors":"Beixuan Zheng ,&nbsp;Bin Wang ,&nbsp;Wei Sun ,&nbsp;Heqing Wang ,&nbsp;Chun Yang ,&nbsp;Mengsu Zeng ,&nbsp;Ruofan Sheng","doi":"10.1016/j.ejrad.2025.112201","DOIUrl":"10.1016/j.ejrad.2025.112201","url":null,"abstract":"<div><h3>Purpose</h3><div>Obesity metabolic phenotypes may influence survival outcomes in hepatocellular carcinoma (HCC) patients. This study aimed to develop an MRI-based model for postoperative survival prediction in HBV-related HCC patients, focusing on obesity metabolic phenotypes.</div></div><div><h3>Methods</h3><div>A retrospective cohort of 381 HBV-related HCC patients (312 males; mean age 55.9 ± 10.7 years) who underwent preoperative MRI and curative surgery was studied. Patients were categorized into three phenotypes: normal weight (NW), metabolically healthy overweight/obesity (MHOO) and metabolically unhealthy overweight/obesity (MUOO). Univariate and multivariate Cox regression analyses identified independent predictors of overall survival (OS). A predictive model was established and validated with cross-validation.</div></div><div><h3>Results</h3><div>MHOO patients showed significantly better overall survival (OS) than NW patients (adjusted HR = 0.42, <em>P</em> = 0.030), while MUOO had no significant effect on OS (adjusted HR = 0.92, <em>P</em> = 0.779). Independent predictors included MHOO (HR = 0.44, <em>P</em> = 0.036), AST/ALT ratio &gt; 1 (HR = 2.61, <em>P</em> = 0.001), tumor burden score &gt; 5.0 (HR = 3.02, <em>P</em> &lt; 0.001) and arterial rim enhancement (HR = 3.61, <em>P</em> &lt; 0.001). The combined model achieved good performance in both training (C-index = 0.737) and validation (C-index = 0.715) sets. The predicted high-risk patients had worse OS than low-risk patients in the whole cohort (<em>P</em> &lt; 0.001) and in patients at BCLC stage A (<em>P</em> &lt; 0.001). The model outperformed the BCLC and CNLC staging systems in predictive efficacy (all <em>P</em> &lt; 0.001) and clinical net benefit.</div></div><div><h3>Conclusions</h3><div>MHOO is protective for OS in HBV-related HCC. The MRI-based model integrating obesity metabolic phenotype, AST/ALT ratio, tumor burden score and arterial rim enhancement is valuable in survival prediction, offering superior prognostic stratification compared to current staging systems.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112201"},"PeriodicalIF":3.2,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144184706","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":"Diagnostic performance of biparametric MRI according to prostate imaging quality (PI-QUAL) version 2: Analysis of Multi-Institutional Data","authors":"Jeong In Shin,&nbsp;Kye Jin Park,&nbsp;Mi Yeon Park,&nbsp;Mi-Hyun Kim,&nbsp;Sung Bin Park,&nbsp;Jeong Kon Kim","doi":"10.1016/j.ejrad.2025.112209","DOIUrl":"10.1016/j.ejrad.2025.112209","url":null,"abstract":"<div><h3>Purpose</h3><div>To evaluate the impact of image quality on the diagnostic performance of biparametric MRI (bpMRI) for detecting clinically significant prostate cancer (csPCa).</div></div><div><h3>Patients and Methods</h3><div>This retrospective study included patients who underwent bpMRI at outside imaging facilities and were referred to our tertiary centre between January 2020 and November 2021. The image quality of bpMRI was assessed by two radiologists in consensus using Prostate Imaging Quality Score version 2 (PI-QUAL v2). Technical parameters of T2WI and DWI were extracted, and their associations with imaging quality criteria were evaluated. Sensitivity, specificity, and positive and negative predictive values for detecting csPCa were compared according to PI-QUAL v2 scores.</div></div><div><h3>Results</h3><div>Among 112 men who underwent bpMRI at 69 different imaging facilities, 47 (42.0 %) MRIs were considered not applicable for PI-QUAL v2 scoring. Of the remaining MRIs, 30 (26.8 %), 17 (15.2 %), and and 18 (16.1 %) were assigned PI-QUAL v2 scores of 1, 2, and 3, respectively. MRIs with PI-QUAL v2 scores ≤ 1 demonstrated significantly lower sensitivity (74.3 %) than those with scores of 2 or 3 (100.0 %; <em>P</em> = 0.045). In-plane resolution on T2WI and the number of <em>b</em> values on DWI were significantly associated with image quality assessment (<em>P</em> = 0.037 and 0.028).</div></div><div><h3>Conclusions</h3><div>The diagnostic accuracy of bpMRI for detecting csPCa is influenced by image quality, as assessed by the PI-QUAL v2 scoring system. Adequate in-plane resolution on T2WI and the use of at least three <em>b</em> values on DWI should be emphasised to achieve optimal image quality and diagnostic performance.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112209"},"PeriodicalIF":3.2,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144166450","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":"Relationship between pericoronary fat attenuation index and quantitative plaque components in newly identified coronary plaques","authors":"Runzhi Zhang ,&nbsp;Wenjing Zhao ,&nbsp;Zehui Tang ,&nbsp;Yan Xu ,&nbsp;Hongyan Xie ,&nbsp;Chuangwei Wei ,&nbsp;Dongting Liu ,&nbsp;Wei Dong ,&nbsp;Jiayi Liu ,&nbsp;Lei Xu ,&nbsp;Zhaoying Wen ,&nbsp;Nan Zhang","doi":"10.1016/j.ejrad.2025.112206","DOIUrl":"10.1016/j.ejrad.2025.112206","url":null,"abstract":"<div><h3>Purpose</h3><div>This study investigates the correlation between fat attenuation index (FAI) and plaque components before and after coronary plaque formation in humans.</div></div><div><h3>Methods</h3><div>This retrospective study included 249 patients who developed newly identified coronary plaques after two coronary computed tomography angiography (CCTA) examinations, with the first yielding normal results. Vessels with newly identified plaques were categorized into the new plaque group, while others formed the no new plaque group. A control group of 50 patients with consistently normal CCTA results was also included. The new plaque group was further divided into stable FAI and progressive FAI groups based on changes in FAI.</div></div><div><h3>Results</h3><div>Before plaque formation, baseline FAI was highest in the new plaque group [(−80 (−84，-77) HU]. Baseline FAI was positively correlated with plaque volume, necrotic core volume, fibrofatty volume, and necrotic core percentage at both patient and vessel levels while showing a negative association with fibrous volume percentage (<em>P</em> &lt; 0.05). After plaque formation, the percentage of necrotic core volume and diabetes mellitus were independent determinants of FAI increase in the patient level [OR: 1.31 (95 % CI: 1.12–––1.53) and OR: 3.07 (95 % CI: 1.14–––8.28), respectively]. At the vessel level, the percentage of necrotic core volume and fibrous volume were independent determinants of FAI increase [OR: 1.33 (95 % CI: 1.16–––1.53) and OR: 0.98 (95 % CI: 0.96–––0.99), respectively].</div></div><div><h3>Conclusion</h3><div>FAI was found to interact with the volume and components of newly formed coronary plaques, especially the necrotic core. A higher baseline FAI was associated with necrotic core formation, and the development of necrotic cores further increased FAI. Conversely, the formation of fibrous components appeared to mitigate the increase in FAI.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"190 ","pages":"Article 112206"},"PeriodicalIF":3.2,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185961","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":"Cumulative dose: A simple infographic for referrers and patients","authors":"Madan M. Rehani ,&nbsp;Anjaneya Kathait ,&nbsp;Denis Remedios","doi":"10.1016/j.ejrad.2025.112202","DOIUrl":"10.1016/j.ejrad.2025.112202","url":null,"abstract":"<div><div>Communicating radiation risks effectively is critical in imaging examinations, especially for ensuring the benefit-risk justification among radiologists, medical physicists, referrers, radiation technologists, and patients. Imaging modalities such as CT, fluoroscopic guided interventions, and PET/CT pose challenges due to high cumulative radiation exposure in patients who require recurrent imaging. In recent years there has been a strong emphasis on assessing the cumulative effective doses (CED) in patients who undergo recurrent imaging for disease surveillance. In addition, while referral guidelines of the Royal College of Radiologists (RCR) and the American College of Radiology (ACR) have used symbolic representations like trefoil radiation symbols to simplify dose communication, there is a lack of similar efforts to communicate cumulative doses. While absolute dose metrics like millisieverts (mSv) or milligray (mGy) are scientifically essential, they often fail to provide intuitive understanding for non-specialists. We wish to extend the concept of radiation symbol use for communicating CED. The stacking of the trefoil symbol to represent cumulative dose has been proposed in this article by taking one symbol to represent 50 mSv. This approach can be built into referral guidelines to facilitate informed decision-making for chronic conditions requiring lifelong imaging and supports risk communication with patients. Incorporating cumulative dose symbols into referral guidelines and clinical workflows will provide a practical step toward optimizing radiation use while safeguarding patients against potential long-term effects. Such advancements align with the growing emphasis on patient-centric care and evidence based imaging practices.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112202"},"PeriodicalIF":3.2,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144166682","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":"Integrating Large language models into radiology workflow: Impact of generating personalized report templates from summary","authors":"Amit Gupta ,&nbsp;Manzoor Hussain ,&nbsp;Kondaveeti Nikhileshwar ,&nbsp;Ashish Rastogi ,&nbsp;Krithika Rangarajan","doi":"10.1016/j.ejrad.2025.112198","DOIUrl":"10.1016/j.ejrad.2025.112198","url":null,"abstract":"<div><h3>Objective</h3><div>To evaluate feasibility of large language models (LLMs) to convert radiologist-generated report summaries into personalized report templates, and assess its impact on scan reporting time and quality.</div></div><div><h3>Materials and Methods</h3><div>In this retrospective study, 100 CT scans from oncology patients were randomly divided into two equal sets. Two radiologists generated conventional reports for one set and summary reports for the other, and vice versa. Three LLMs − GPT-4, Google Gemini, and Claude Opus − generated complete reports from the summaries using institution-specific generic templates. Two expert radiologists qualitatively evaluated the radiologist summaries and LLM-generated reports using the ACR RADPEER scoring system, using conventional radiologist reports as reference. Reporting time for conventional versus summary-based reports was compared, and LLM-generated reports were analyzed for errors. Quantitative similarity and linguistic metrics were computed to assess report alignment across models with the original radiologist-generated report summaries. Statistical analyses were performed using Python 3.0 to identify significant differences in reporting times, error rates and quantitative metrics.</div></div><div><h3>Results</h3><div>The average reporting time was significantly shorter for summary method (6.76 min) compared to conventional method (8.95 min) (p &lt; 0.005). Among the 100 radiologist summaries, 10 received RADPEER scores worse than 1, with three deemed to have clinically significant discrepancies. Only one LLM-generated report received a worse RADPEER score than its corresponding summary. Error frequencies among LLM-generated reports showed no significant differences across models, with template-related errors being most common (χ² = 1.146, p = 0.564). Quantitative analysis indicated significant differences in similarity and linguistic metrics among the three LLMs (p &lt; 0.05), reflecting unique generation patterns.</div></div><div><h3>Conclusion</h3><div>Summary-based scan reporting along with use of LLMs to generate complete personalized report templates can shorten reporting time while maintaining the report quality. However, there remains a need for human oversight to address errors in the generated reports.</div></div><div><h3>Relevance Statement</h3><div>Summary-based reporting of radiological studies along with the use of large language models to generate tailored reports using generic templates has the potential to make the workflow more efficient by shortening the reporting time while maintaining the quality of reporting.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112198"},"PeriodicalIF":3.2,"publicationDate":"2025-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138523","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 predictive value of 18F-FDG PET/CT radiomics for pleural invasion in non-small cell lung cancer","authors":"Annan Zhang ,&nbsp;Meixin Zhao ,&nbsp;Xiangxing Kong ,&nbsp;Weifang Zhang ,&nbsp;Xiaoyan Hou ,&nbsp;Zhi Yang ,&nbsp;Xiangxi Meng ,&nbsp;Nan Li","doi":"10.1016/j.ejrad.2025.112199","DOIUrl":"10.1016/j.ejrad.2025.112199","url":null,"abstract":"<div><h3>Objective</h3><div>This study aims to develop and validate a PET/CT radiomics fusion model for preoperative predicting pleural invasion (PI) in non-small cell lung cancer (NSCLC) patients.</div></div><div><h3>Methods</h3><div>Data from Center A were divided into a training set (n = 260) and an internal validation set (n = 111), while data from Center B (n = 99) served as the external validation set. Radiomic features were extracted using PyRadiomics. Six feature screening methods and 12 machine learning methods were used to build clinical, PET/CT imaging, and radiomics fusion models. The best-performing model was selected based on accuracy, sensitivity, specificity, and area under the curve (AUC). A nomogram was created using logistic regression with clinical, PET/CT features, and Rad_score.</div></div><div><h3>Results</h3><div>The PET/CT radiomics fusion model exhibited superior predictive performance. In the internal validation set, it achieved an accuracy of 0.90, sensitivity of 0.88, specificity of 0.92, and AUC of 0.95 (95% CI 0.91–0.99). These metrics were significantly higher than those of the PET/CT imaging model (accuracy 0.83, sensitivity 0.83, specificity 0.82, AUC 0.85) and clinical model (accuracy 0.65, sensitivity 0.70, specificity 0.59, AUC 0.78). In the external validation set, the model demonstrated an accuracy of 0.81, sensitivity of 0.81, specificity of 0.81, and AUC of 0.85 (95% CI 0.77–0.94), outperforming the PET/CT imaging model (accuracy 0.76, sensitivity 0.75, specificity 0.77, AUC 0.80) and clinical model (accuracy 0.68, sensitivity 0.67, specificity 0.68, AUC 0.76). The nomogram showed excellent calibration, with a C index of 0.98 in the test set, 0.95 in the internal validation set, and 0.91 in the external validation set.</div></div><div><h3>Conclusion</h3><div>The PET/CT radiomics fusion model significantly improves PI prediction accuracy in NSCLC.</div><div><strong>Critical relevance statement:</strong>Pleural invasion is a critical prognostic factor in lung cancer and a challenge for preoperative CT evaluation. PET/CT radiomics fusion model has the highest predictive value in predicting PI of lung cancer.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"190 ","pages":"Article 112199"},"PeriodicalIF":3.2,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144184606","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":"Vascular lesions of head and neck region: A pictorial review","authors":"Fahime Azizinik ,&nbsp;Sheida Javadi ,&nbsp;Faezeh Khorasanizadeh ,&nbsp;Fatemeh Shakki Katouli ,&nbsp;Reza Majidazar","doi":"10.1016/j.ejrad.2025.112190","DOIUrl":"10.1016/j.ejrad.2025.112190","url":null,"abstract":"<div><div>Vascular lesions in the head and neck region encompass a wide spectrum of malformations and tumors, ranging from hemangiomas to arteriovenous fistulas. The International Society for the Study of Vascular Anomalies classification system categorizes these anomalies into vascular tumors and malformations. Vascular tumors are further divided into benign, borderline, and malignant types, while vascular malformations are classified based on flow characteristics as high or low flow. Accurate delineation of these lesions is crucial due to their clinical implications, particularly their location and potential involvement of adjacent structures. Imaging modalities such as ultrasound, computed tomography, magnetic resonance imaging, and digital subtraction angiography play a vital role in diagnosis, surgical planning, and follow-up. Ultrasound is useful for superficial lesions, while computed tomography and magnetic resonance imaging provide detailed information on deep-seated anomalies. Vascular tumors include benign lesions like hemangiomas and pyogenic granuloma, borderline tumors such as hemangioendothelioma, and malignant tumors like angiosarcoma and Kaposi sarcoma. Vascular malformations include venous, lymphatic, capillary, arteriovenous malformations and combined lesions like lymphangiohemangioma. Each type has distinct imaging features, with magnetic resonance imaging being particularly valuable for assessing soft tissue involvement and lesion extent. This review highlights the importance of imaging in the diagnosis and management of head and neck vascular anomalies, emphasizing the need for a multidisciplinary approach to optimize patient outcomes.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112190"},"PeriodicalIF":3.2,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134647","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":"Refining the Tmax malignant profile in large ischemic core patients receiving endovascular treatment","authors":"Giorgio Busto ,&nbsp;Andrea Morotti ,&nbsp;Ilaria Casetta ,&nbsp;Francesca Danesi ,&nbsp;Francesco Loverre ,&nbsp;Tommaso Casseri ,&nbsp;Francesco Arba ,&nbsp;Manuel Cappellari ,&nbsp;Enrico Fainardi","doi":"10.1016/j.ejrad.2025.112187","DOIUrl":"10.1016/j.ejrad.2025.112187","url":null,"abstract":"<div><h3>Background and purpose</h3><div>A significant proportion of patients with large ischemic core volume (LICV) have poor outcome despite successful recanalization. We aimed to assess the optimal cutoff for hypoperfusion volume, defined as Tmax &gt; 6-seconds lesion size, to identify a malignant profile in LICV patients and predict poor functional outcome after endovascular treatment (EVT).</div></div><div><h3>Materials and methods</h3><div>Sixty-six consecutive LICV with multimodal CT study protocol within 24 h from onset. A receiver operating characteristic curve analysis was used to identify the optimal Tmax &gt; 6-seconds lesion volume cutoff to define a malignant profile. Logistic regression was used to evaluate the predictive value of malignant profile for poor functional outcome (defined as modified Rankin Scale 4–6 at 3 months).</div></div><div><h3>Results</h3><div>Tmax &gt; 6-seconds volume had good discriminative ability for poor clinical outcome (AUC 0.85; 95 % CI 0.74–0.92). The best cut-off value for poor outcome was ≥160 mL (84 % sensitivity, 85 % specificity, 89 % positive predictive value, 80 % negative predictive value) and represented our definition of malignant profile. Among the 66 included patients, 39 (59 %) had poor functional outcome, of whom 29 (74.3 %) showed a malignant profile. The presence of malignant profile (OR = 9.11, 95 %CI = 2.78–29.80) and unsuccessful recanalization status (OR = 3.51, 95 %CI = 1.01–12.72) were independently associated with poor functional outcome in LICV patients. Patients with malignant profile showed higher hemorrhagic transformation (p = 0.026) and mortality (p = 0.013) rates compared to patients without malignant profile.</div></div><div><h3>Conclusions</h3><div>Tmax &gt; 6-seconds lesion volume ≥160 mL identified the malignant profile and predicts unfavorable outcome in LICV patients undergoing EVT within 24-hours from stroke onset.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112187"},"PeriodicalIF":3.2,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117040","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":"What looks like a contrast reaction may not be a contrast reaction","authors":"Ingrid Böhm","doi":"10.1016/j.ejrad.2025.112193","DOIUrl":"10.1016/j.ejrad.2025.112193","url":null,"abstract":"<div><div>Adverse reactions following the application of a contrast medium are always a challenge for radiologists. To date, little consideration has been given to causality analyses. Hypersensitivity reactions in the context of contrast-enhanced imaging procedures may be caused by the contrast agent, but other culprit agens (such as latex allergy) should be also considered.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"189 ","pages":"Article 112193"},"PeriodicalIF":3.2,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134645","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}