Radiologia最新文献

{"title":"Considerations on the historical origin of diffuse idiopathic skeletal hyperostosis","authors":"Y. Medrano Plana , C.E. Hernández Borroto","doi":"10.1016/j.rxeng.2025.501719","DOIUrl":"10.1016/j.rxeng.2025.501719","url":null,"abstract":"","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"67 6","pages":"Article 501719"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145476142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"European Diploma in Radiology (EDiR) clinical cases","authors":"Editorial Board of Radiology","doi":"10.1016/j.rxeng.2025.101663","DOIUrl":"10.1016/j.rxeng.2025.101663","url":null,"abstract":"","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"67 6","pages":"Article 101663"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145476143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Staging of endometrial cancer. An illustrated guide to understand and apply the 2023 FIGO system","authors":"A. García Bolado ,&nbsp;E. Julián Gómez ,&nbsp;D. Val Garijo","doi":"10.1016/j.rxeng.2025.101620","DOIUrl":"10.1016/j.rxeng.2025.101620","url":null,"abstract":"<div><div>The FIGO (International Federation of Gynaecology and Obstetrics) classification for the staging of endometrial cancer was updated in 2023. This new classification, based on clinicopathological data, represents a challenge for the radiologist, who needs to know histological data before assigning a prognostic stage to the tumour. This article provides the histopathological information necessary for a better understanding of this FIGO 2023 classification. It also presents explanatory graphs and a comparative study with the previous FIGO classification, highlighting the new features and possible errors that can be made, all with the aim of facilitating the radiologist's work.</div></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"67 6","pages":"Article 101620"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145476146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ophthalmological emergencies","authors":"M.C. Maciá Fernández ,&nbsp;G. Santabrígida Oreja ,&nbsp;L.H. Vargas Alvarado ,&nbsp;S. Sánchez Bernal ,&nbsp;A.B. Valentín Martín ,&nbsp;J. Encinas de la Iglesia","doi":"10.1016/j.rxeng.2025.101602","DOIUrl":"10.1016/j.rxeng.2025.101602","url":null,"abstract":"<div><div>Urgent ophthalmic pathology can be grouped into four categories: infectious, traumatic, vascular, and inflammatory. Imaging techniques play a fundamental role in their diagnosis, positioning the radiologist at the forefront when dealing with these entities. CT is usually the technique of choice within the emergency context, with MRI and ultrasound playing a secondary role. Radiologists must be familiar with the main imaging findings of these pathologies to make a rapid and accurate diagnosis that contributes to a positive outcome for the patient. This article reviews orbital anatomy, imaging techniques and protocols that should be employed, as well as key diagnostic clues that every radiologist should know.</div></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"67 6","pages":"Article 101602"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145476149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"European Diploma in Radiology (EDiR) clinical cases","authors":"Editorial Board of Radiology","doi":"10.1016/j.rxeng.2025.101662","DOIUrl":"10.1016/j.rxeng.2025.101662","url":null,"abstract":"","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"67 5","pages":"Article 101662"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Essential guide to arterial spin labelling: Review of key artifacts and applications","authors":"R. Sutil Berjón ,&nbsp;D. Castanedo Vázquez ,&nbsp;D. Herrán de la Gala ,&nbsp;M. Drake Pérez ,&nbsp;E. Marco de Lucas","doi":"10.1016/j.rxeng.2025.101652","DOIUrl":"10.1016/j.rxeng.2025.101652","url":null,"abstract":"<div><div>Arterial spin labelling (ASL) is a magnetic resonance imaging perfusion technique used to study cerebral blood flow. It differs from magnetic susceptibility-based perfusion sequences in that it does not require contrast media, but rather uses the signals emitted by pre-labelled protons. It is useful in the exploration of several different kinds of neurological pathologies including ischaemic stroke, brain tumours, dementia and epilepsy. However, it presents numerous artifacts that radiologists must be familiar with to ensure a correct interpretation of findings.</div></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"67 5","pages":"Article 101652"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond the procedure: Women, power and well-being in surgical settings","authors":"S. Lojo-Lendoiro","doi":"10.1016/j.rxeng.2025.501730","DOIUrl":"10.1016/j.rxeng.2025.501730","url":null,"abstract":"","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"67 5","pages":"Article 501730"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prognostic value of the extent of affected lung parenchyma in COVID-19 pneumonia patients: Visual estimation versus automatic quantification by artificial intelligence","authors":"I. Soriano Aguadero ,&nbsp;A. Ezponda Casajús ,&nbsp;A. Paternain Nuin ,&nbsp;M. Vidorreta ,&nbsp;G. Bastarrika Alemañ","doi":"10.1016/j.rxeng.2025.101612","DOIUrl":"10.1016/j.rxeng.2025.101612","url":null,"abstract":"<div><h3>Objective</h3><div>To compare the prognostic impact of the extent of lung disease detected on computed tomography (CT) when assessed visually by an expert radiologist compared to automatically by an artificial intelligence (AI) system in patients with COVID-19 pneumonia.</div></div><div><h3>Material and methods</h3><div>A retrospective study of patients with clinical suspicion of COVID-19 pneumonia which assessed the extent of lung involvement visually and by AI. Patients were divided into poor (death/ICU) and good (discharge) prognosis groups. Univariate and multivariate analyses (logistic regression) were performed on the variables that demonstrated significant differences between both groups.</div></div><div><h3>Results</h3><div>Patients with a poor prognosis more frequently had greater lung involvement visually (stages 3–4; 37.5% vs 14.3%; <em>p</em> = 0.001) and by AI (stages 3–4; 35% vs 6.2%; <em>p</em> &lt; 0.001). The radiologist-AI agreement correlation coefficient was excellent (0.905; <em>p</em> &lt; 0.001). High blood pressure (OR 4.26; <em>p</em> &lt; 0.001), alterations in levels of creatinine (OR 5.63; <em>p</em> &lt; 0.001), lactate dehydrogenase (OR 11.69; <em>p</em> &lt; 0.001) and D-dimer (OR 5.68; <em>p</em> &lt; 0.001), and the extent of affected lung parenchyma assessed visually (stage 1vs4 OR 10.36; <em>p</em> = 0.001) and by AI (stage 1vs4 OR 25; <em>p</em> = 0.001) were the variables with the greatest prognostic impact in the univariate analysis. The multivariate analysis models considering the extent assessed visually and by AI did not demonstrate any significant differences (AUC 0.876 vs 0.870; <em>p</em> = 0.278).</div></div><div><h3>Conclusion</h3><div>The extent of affected lung parenchyma on CT images demonstrates prognostic value both on their own and in conjunction with clinical factors and blood levels in patients with COVID-19 pneumonia. No significant differences were observed between the radiologist's visual estimate and the AI-based automatic detection system used in this study.</div></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"67 5","pages":"Article 101612"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysing the level of evidence of publications in the journal Radiología","authors":"C. Mossi-Martínez ,&nbsp;M.T. Gandia-Ferrero ,&nbsp;M. Parra-Hernández ,&nbsp;C. García-Villar ,&nbsp;L. Martí-Bonmatí","doi":"10.1016/j.rxeng.2025.101576","DOIUrl":"10.1016/j.rxeng.2025.101576","url":null,"abstract":"<div><h3>Introduction</h3><div>Scientific journals are a fundamental tool for the dissemination of evidence-based medicine. The scientific quality of a journal is related to the level of evidence of its publications. The aim of our study is to analyse and quantify changes in the levels of evidence assigned to articles published in the <em>Radiología</em> journal over the last six years.</div></div><div><h3>Material and methods</h3><div>We evaluated articles published in <em>Radiología</em> from 2018 to 2023. A critical reading of the selected articles was carried out and a level of evidence was assigned using two scales that are specific to the field of radiology (Insights into Imaging and the 2011 Oxford Center Evidence Based Medicine). Pearson residuals were used to establish differences in the level of evidence over the years, with a p-value &lt; 0.05 being considered statistically significant. The level of agreement between the two scales for assessing levels of evidence was also compared using the Kappa coefficient.</div></div><div><h3>Results</h3><div>Of the total 404 publications in <em>Radiología</em> from 2018 to 2023, 275 articles were included for analysis. There was evidence of a progressive increase in the level of evidence for the publications, with a peak in 2023, consistently on both scales (p = 0.043). A Kappa coefficient of 0.92 was obtained in the analysis of agreement between scales (almost perfect agreement).</div></div><div><h3>Conclusion</h3><div>The level of evidence for publications in the <em>Radiología</em> journal has significantly increased in 2023.</div></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"67 5","pages":"Article 101576"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Role of MDCT for selection of peritoneal carcinomatosis patients as candidates for cytoreductive surgery and hyperthermic intraperitoneal chemotherapy: Concordance between radiological and surgical scores using the Peritoneal Cancer Index","authors":"A. Cernuda García ,&nbsp;E.O. Turienzo Santos ,&nbsp;T. Díaz Vico ,&nbsp;A. Mesa Álvarez ,&nbsp;R. Rodríguez Uría ,&nbsp;M. Moreno Gijón ,&nbsp;L.M. Sanz Álvarez","doi":"10.1016/j.rxeng.2025.101585","DOIUrl":"10.1016/j.rxeng.2025.101585","url":null,"abstract":"<div><h3>Objective</h3><div>To evaluate the accuracy of multidetector computed tomography (MDCT) to select patients with peritoneal carcinomatosis (PC) as candidates for cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CRS + HIPEC), through an analysis of the degree of correlation between the radiological (rPCI) and surgical (sPCI) scores in the PC index.</div></div><div><h3>Methods</h3><div>Observational, retrospective, single-centre study between 1 May 2014 and 31 May 2018. Calculated rPCI assessed by MDCT was compared with the sPCI using the Concordance Correlation Coefficient (CCC). The Bland-Altman method was used to plot the difference between the two observations against their mean with a confidence interval (CI) of 95%. We assessed whether tumour volume affects the CCC by setting a cut-off point of sPCI at 15 and considering a sensitivity and specificity of rPCI &gt; 20 as a predictor of unresectability.</div></div><div><h3>Results</h3><div>50 patients underwent surgery. Mean sPCI was 11.8 (9.5) and rPCI was 11.0 (10.2), with a CCC of 0.94 (95% CI: 0.91–0.97). The CCC in the 35 patients with sPCI 20 had a sensitivity of 0.82 (95% CI: 0.68–0.92) and a specificity of 0.40 (95% CI: 0.05–0.85). The positive predictive value was 0.92 (95% CI: 0.80–0.98), while the negative predictive value was 0.20 (95% CI: 0.03–0.56).</div></div><div><h3>Conclusion</h3><div>MDCT, interpreted by an expert radiologist, is reliable for the selection of patients as candidates for CRS + HIPEC; however, the rPCI value cannot be considered in isolation as a contraindication to full treatment. Greater tumour volume usually leads to a worse concordance between rPCI and sPCI.</div></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"67 5","pages":"Article 101585"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}