Radiologia最新文献

{"title":"Imaging localization strategies in primary hyperparathyroidism","authors":"A. Adarve Castro,&nbsp;V. Soria Utrilla,&nbsp;J.M. Castro-García,&nbsp;D. Morales García,&nbsp;M.J. Ruiz-Gómez,&nbsp;F. Sendra Portero,&nbsp;D. Domínguez Pinos","doi":"10.1016/j.rxeng.2025.501735","DOIUrl":"10.1016/j.rxeng.2025.501735","url":null,"abstract":"<div><h3>Objectives</h3><div>Parathyroid glands exhibit a notable anatomical variability, complicating preoperative localization. Minimally invasive parathyroidectomy ideally requires two concordant imaging tests. This study aims to evaluate the degree of concordance of the different tests available with surgical findings and to create an algorithm to discern the order in which these tests should be performed.</div></div><div><h3>Methods</h3><div>This prospective study included 93 patients with primary hyperparathyroidism (PHP) undergoing 99mTc-sestamibi SPECT/CT and cervical ultrasound. Discordant cases underwent secondary imaging (contrast-enhanced ultrasound [CEUS], CT, MRI, or 18F-choline PET/CT) based on endocrinologist criteria. Sensitivity, positive predictive value (PPV), accuracy, and Cohen’s Kappa index (k) relative to surgical outcomes were calculated for each modality.</div></div><div><h3>Results</h3><div>Of the 93 patients studied, 46 (49.5 %) were included in Group A (concordant location between 99Tc-sestaMIBI and ultrasound) and 47 (50.5 %) in Group B (discordant initial tests). Overall, 99mTc-sestamibi SPECT/CT showed κ = 0.55 (<em>p</em> &lt; 0.001), while ultrasound demonstrated κ = 0.67 (<em>p</em> &lt; 0.001). In Group B, imaging tests yielded the following κ values: CEUS = 0.64 (<em>p</em> &lt; 0.001), 18F-choline PET/CT = 0.62 (p = 0.013), CT = 0.54 (<em>p</em> = 0.002), ultrasound = 0.43 (<em>p</em> &lt; 0.001), 99mTc-sestamibi SPECT/CT = 0.34 (<em>p</em> = 0.013) and MRI = 0.14 (<em>p</em> = 0.145).</div></div><div><h3>Conclusion</h3><div>In patients with PHP with surgical criteria in whom initial scintigraphy and ultrasound were concordant, both tests showed moderate concordance with surgery. In discordant cases, CEUS showed the greatest concordance with surgery, followed by 18F-choline PET/CT. Thus, we propose an algorithm in which localization tests should be performed in a certain order based on the performance of each test in each possible scenario.</div></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"68 4","pages":"Article 501735"},"PeriodicalIF":0.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148388506","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":"Meningioangiomatosis: A rare cause of epilepsy","authors":"P. Rodríguez Ripalda,&nbsp;J.J. Gómez Muga,&nbsp;I. Orbegozo Arrizabalaga","doi":"10.1016/j.rxeng.2026.501744","DOIUrl":"10.1016/j.rxeng.2026.501744","url":null,"abstract":"","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"68 4","pages":"Article 501744"},"PeriodicalIF":0.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148388510","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":"Measuring the aortic root with coronary computed tomography angiography: Concordance with transthoracic echocardiography","authors":"G. Burcet,&nbsp;A. Aubanell,&nbsp;A. Roque,&nbsp;J.L. Reyes-Juarez,&nbsp;F. Valente,&nbsp;G. Teixidó-Tura,&nbsp;J. Rodríguez-Palomares,&nbsp;H. Cuellar-Calabria","doi":"10.1016/j.rxeng.2026.501747","DOIUrl":"10.1016/j.rxeng.2026.501747","url":null,"abstract":"<div><h3>Aim</h3><div>Aortic root (AoR) dilatation is a condition that requires monitoring of its growth through serial imaging studies in order to determine appropriate treatment. Systematic differences in AoR measurements have been reported between transthoracic echocardiography (TTE) and cross-sectional imaging techniques. The aim of this study was to determine which AoR measurement—performed using cardiac computed tomography angiography (CCTA) in patients with tricuspid aortic valves—shows the best correlation with the standard measurement obtained by TTE.</div></div><div><h3>Material and methods</h3><div>A retrospective analysis was conducted on 110 patients who underwent both CCTA and TTE within a six-month interval at our institution, including an equal number of patients with and without AoR dilatation. On the transverse plane of the AoR in CCTA, the following measurements were taken: cusp-to-commissure, cusp-to-cusp, area, area-derived diameter (ADD) and anteroposterior diameter (APD). CCTA measurements showed excellent correlation with TTE (<em>p</em> &lt; 0.001), with the highest degree of agreement observed for ADD and APD (both <em>p</em> &lt; 0.001).</div></div><div><h3>Results</h3><div>APD measurements did not differ significantly from those obtained by TTE in any group (overall <em>p</em> = 0.451; non-dilated AoR <em>p</em> = 0.427; dilated AoR <em>p</em> = 0.091), in contrast to the other measurements, including ADD.</div></div><div><h3>Conclusion</h3><div>The APD measurement obtained by CCTA proved to be equivalent to that obtained by TTE, easy to perform and highly reproducible. Future research may establish APD as the reference measurement for comparing results between both techniques.</div></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"68 4","pages":"Article 501747"},"PeriodicalIF":0.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148388497","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":"Fetal magnetic resonance imaging of abdominal pathology","authors":"R. Llorens-Salvador,&nbsp;A. Viegas-Sainz,&nbsp;D. Veiga-Canuto","doi":"10.1016/j.rxeng.2026.101603","DOIUrl":"10.1016/j.rxeng.2026.101603","url":null,"abstract":"<div><div>Fetal MRI has been proved to be a valuable complement to prenatal ultrasound in the study of congenital abnormalities, especially those of the central nervous system. However, its role in the assessment of the fetal abdomen is less known. Fetal abdominal pathology includes congenital abnormalities of the gastrointestinal tract, genitourinary tract, and abdominal wall defects. The aims of this article are to indicate an assessment protocol for the fetal abdomen, determine which patients will benefit from this technique and illustrate with examples the value of prenatal MRI and the role of the radiologist, both in diagnosis and perinatal management of these patients.</div></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"68 4","pages":"Article 101603"},"PeriodicalIF":0.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148388498","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":"Adrenal venous sampling: Indications and technical challenges","authors":"R.M. Cortés Lopera,&nbsp;D. Herrera Carrión,&nbsp;A. Rodríguez Piñero","doi":"10.1016/j.rxeng.2026.501699","DOIUrl":"10.1016/j.rxeng.2026.501699","url":null,"abstract":"<div><div>Adrenal venous catheterisation is a procedure used in the aetiological diagnosis of primary aldosteronism (PA). Its purpose is to measure aldosterone and cortisol levels in blood samples obtained from both adrenal veins and compare them with peripheral levels, allowing for the identification of potential lateralisation in hormone secretion. Owing to its high sensitivity and specificity, it is a key—though technically demanding—technique that should be performed in specialised centres. Accurate diagnosis leads to better clinical outcomes by avoiding unnecessary surgical interventions.</div><div>The aim of this article is to review the anatomy and anatomical variants of the adrenal glands and their venous drainage, with a focus on describing the catheterisation technique. This procedure involves multiple technical challenges that can affect the accurate collection of samples and interpretation of results. These difficulties justify the need for a detailed review to help optimise the procedure and improve its success rate.</div></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"68 4","pages":"Article 501699"},"PeriodicalIF":0.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148388502","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":"AI WAVEMAR: Design of an artificial intelligence model for detecting suspicious findings in screening mammography","authors":"E.N. Arenas Rivera,&nbsp;J.M. Maiques,&nbsp;R. Alcantara,&nbsp;M. Román,&nbsp;A. Burón,&nbsp;M. Sala,&nbsp;M. Busto","doi":"10.1016/j.rxeng.2026.501741","DOIUrl":"10.1016/j.rxeng.2026.501741","url":null,"abstract":"<div><h3>Objective</h3><div>To describe the development, training and evaluation of AI WaveMar, an artificial intelligence (AI)-based tool designed for the automated detection of suspicious mammographic findings in breast cancer screening.</div></div><div><h3>Materials and methods</h3><div>An image classification model based on convolutional neural networks has been developed. The model has been trained on a mixed dataset of 48,562 anonymised mammographic projections, obtained from a public hospital in Spain and the external Chinese Mammography Database (CMMD). The model was evaluated on an independent test set composed of 4902 images. Performance metrics calculated included sensitivity (S or recall), specificity (SP), positive predictive value (PPV or precision), negative predictive value (NPV), accuracy and F1-score.</div></div><div><h3>Results</h3><div>AI WaveMar achieved a sensitivity of 92.95% (<em>P</em> &lt; .001) and a specificity of 98.12% (<em>P</em> &lt; .001). The PPV was 89.79% (<em>P</em> &lt; .001), and the NPV was 98.74% (<em>P</em> &lt; .001). Accuracy reached 97,34% (<em>P</em> &lt; .001), with an F1-score of 92.34%, indicating high and balanced diagnostic performance.</div></div><div><h3>Conclusion</h3><div>AI WaveMar is an AI-based tool developed to support mammographic interpretation, with preliminary results suggesting it could help optimise breast cancer screening. However, prospective clinical validation in real-world practice is required to confirm its diagnostic utility.</div></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"68 4","pages":"Article 501741"},"PeriodicalIF":0.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148388511","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":"Pelvic exenteration: The radiologist’s role","authors":"A. Salgado-Parente,&nbsp;L. González Campo,&nbsp;A. Villanueva Campos,&nbsp;J.C. García Pérez,&nbsp;M. Muñoz Beltrán,&nbsp;E. Canales Lachén","doi":"10.1016/j.rxeng.2026.501690","DOIUrl":"10.1016/j.rxeng.2026.501690","url":null,"abstract":"<div><div>Pelvic exenteration is a highly complex and aggressive surgical procedure that seeks to cure patients with pelvic tumours through the en bloc removal of two or more organs. Given its technical complexity and high rates of morbidity and mortality, careful selection of surgical candidates is essential, prioritising those for whom complete tumour resection is feasible.</div><div>The preoperative management of these patients requires a multidisciplinary approach, with the radiologist playing a critical role. It is imperative for the radiologist to be familiar with the anatomical and pathological aspects to be assessed using different imaging techniques (CT, MRI, or PET-CT). Key considerations include the detection of extrapelvic metastatic disease, involvement of pelvic organs, neural structures, vessels, and the pelvic wall (muscular and bony components). The aim of this update is to familiarise the radiologist with pelvic exenteration, as a thorough evaluation can provide necessary information to guide the surgical team, minimise complications and avoid unnecessary interventions.</div></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"68 4","pages":"Article 501690"},"PeriodicalIF":0.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148388508","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.2025.501773","DOIUrl":"10.1016/j.rxeng.2025.501773","url":null,"abstract":"","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"68 4","pages":"Article 501773"},"PeriodicalIF":0.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148388516","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":"A ten-point plan for sustainable radiology: a commitment to action","authors":"S. Lojo-Lendoiro,&nbsp;Á. Morales Santos,&nbsp;S. González,&nbsp;L. Buñesch,&nbsp;R. Oca,&nbsp;J. Escartín,&nbsp;D. Zhan,&nbsp;J. Blázquez,&nbsp;À. Rovira","doi":"10.1016/j.rxeng.2026.501852","DOIUrl":"10.1016/j.rxeng.2026.501852","url":null,"abstract":"","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"68 4","pages":"Article 501852"},"PeriodicalIF":0.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148388490","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":"Diagnostic performance of computed tomography-derived fractional flow reserve in patients with significant coronary artery stenosis","authors":"G. Bastarrika ,&nbsp;A. Álvarez-Acedo ,&nbsp;A. Ezponda ,&nbsp;A. Ochoa-González ,&nbsp;M.R. López de la Torre ,&nbsp;F.M. Caballeros Lam ,&nbsp;D.A. Zambrano ,&nbsp;R.J. Ruiz-Salmerón","doi":"10.1016/j.rxeng.2026.101671","DOIUrl":"10.1016/j.rxeng.2026.101671","url":null,"abstract":"<div><h3>Objective</h3><div>To determine the diagnostic performance of computed tomography-derived fractional flow reserve (FFRCT) in patients with significant coronary artery stenosis (≥50%) on coronary computed tomography angiography (CCTA).</div></div><div><h3>Material and methods</h3><div>The FFRCT was retrospectively calculated for 73 patients with CAD-RADS 3 or 4 on CCTA who underwent conventional coronary angiography, using a deep learning-based software (DEEPVESSEL-FFR, Keya Medical, Kanbai Tech). A FFRCT value &lt;0.80 was considered haemodynamically significant. Conventional coronary angiography was used as the reference standard to compare the effectiveness of the individual use of CCTA, the individual use of FFRCT and the combined use of CCTA and FFRCT.</div></div><div><h3>Results</h3><div>A FFRCT of &lt;0.80 was observed in 62 of the 219 vessels analysed (28.3%). In a per-vessel analysis, the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 95.5%, 75%, 62.7%, 97.4%, and 81.3%, respectively for ≥50% stenosis on CCTA, and 67.2%, 88.8%, 72.6%, 85.9% and 82.2%, respectively for FFRCT, when compared to conventional coronary angiography. The combined CCTA + FFRCT interpretation improved the diagnostic performance of the test both on a per-vessel (area under the curve 0.91 vs. 0.85 for CCTA; p = 0.03 and 0.78 for FFRCT; p = 0.007) and per-patient basis (area under the curve 0.89 vs. 0.81 for CCTA; p = 0.005 and 0.79 for FFRCT; p = 0.002).</div></div><div><h3>Conclusion</h3><div>The combined CCTA + FFRCT interpretation with deep learning-based software improves the diagnostic performance of individual CCTA or FFRCT readings in patients with significant coronary artery stenosis.</div></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":"68 3","pages":"Article 101671"},"PeriodicalIF":0.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147936786","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}