European Journal of Radiology最新文献

{"title":"Image quality comparison between low-dose thin-slice deep-learning reconstruction and standard-dose thick-slice hybrid iterative reconstruction in pediatric abdominal CT","authors":"Ryota Harai,&nbsp;Yasunori Nagayama,&nbsp;Soichiro Ishiuchi,&nbsp;Ryuya Yoshida,&nbsp;Taihei Inoue,&nbsp;Takumi Osaki,&nbsp;Kaori Shiraishi,&nbsp;Masafumi Kidoh,&nbsp;Seitaro Oda,&nbsp;Takeshi Nakaura,&nbsp;Toshinori Hirai","doi":"10.1016/j.ejrad.2026.112703","DOIUrl":"10.1016/j.ejrad.2026.112703","url":null,"abstract":"<div><h3>Objectives</h3><div>To compare image quality between low-dose thin-slice deep-learning reconstruction (DLR) and standard-dose thick-slice hybrid iterative reconstruction (HIR) in pediatric abdominal CT.</div></div><div><h3>Methods</h3><div>82 children (≤6 years) who underwent contrast-enhanced abdominal CT with standard-dose (STD, n = 41) or low-dose (LD, n = 41) protocol matched by age and weight were retrospectively identified. STD and LD images were reconstructed at 3.0-mm using HIR (STD-HIR/3.0 and LD-HIR/3.0, respectively). LD images were also reconstructed at 0.5-mm using HIR (LD-HIR/0.5) and DLR (LD-DLR/0.5). Size-specific dose estimate (SSDE) was compared between groups. Image noise and contrast-to-noise ratio (CNR) were quantified. Noise power spectrum (NPS) and edge-rise slope (ERS) were employed for noise texture and edge sharpness measures, respectively. For subjective evaluation, noise magnitude, noise texture, edge sharpness, delineation of small structures, and diagnostic confidence were rated on a 5-point scale (1 = undiagnostic, 5 = best).</div></div><div><h3>Results</h3><div>SSDE was on average 59.5% lower in LD than in STD group (1.7 ± 0.4 vs. 4.2 ± 0.8 mGy, p &lt; 0.001). Image noise was lower in LD-DLR/0.5 compared to STD-HIR/3.0, LD-HIR/3.0, and LD-HIR/0.5 (8.7 ± 1.5, 9.6 ± 1.1, 11.7 ± 1.9, and 17.9 ± 2.3 HU, respectively, all p ≤ 0.017). LD-DLR/0.5 showed equivalent CNR (e.g., liver CNR: 7.1 ± 2.1 vs. 7.0 ± 2.8, p = 0.827) and higher ERS (64.3 ± 23.9 vs. 53.3 ± 10.6 HU/mm, p = 0.011) with similar average NPS frequency (0.281 ± 0.042 vs. 0.291 ± 0.027 mm⁻¹, p = 0.177) compared to STD-HIR/3.0. Subjective scores for all criteria were higher in LD-DLR/0.5 than in STD-HIR/3.0 (e.g., diagnostic confidence score: 4.5 ± 0.5 vs. 3.4 ± 0.4, p &lt; 0.001).</div></div><div><h3>Conclusion</h3><div>Low-dose thin-slice DLR improved edge sharpness, small structure visualization, and diagnostic confidence in pediatric abdominal CT without increasing noise compared to standard-dose thick-slice HIR.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"196 ","pages":"Article 112703"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146118417","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 CT-based radiomics model for classification of chronic pancreatitis: new biomarkers for diagnosis and severity staging","authors":"Surenth Nalliah ,&nbsp;Søren Nicolai Frederiksen Hostrup ,&nbsp;Esben Bolvig Mark ,&nbsp;Marjolein Henrieke Liedenbaum ,&nbsp;Erlend Hodneland ,&nbsp;Ingfrid Helene Salvesen Haldorsen ,&nbsp;Trond Engjom ,&nbsp;Asbjørn Mohr Drewes ,&nbsp;Søren Schou Olesen ,&nbsp;Jens Brøndum Frøkjær","doi":"10.1016/j.ejrad.2026.112711","DOIUrl":"10.1016/j.ejrad.2026.112711","url":null,"abstract":"<div><h3>Objectives</h3><div>To develop and validate CT-based radiomics models for the identification of chronic pancreatitis (CP) and selected CP-related complications, and to explore associations between radiomics-derived features and clinical measures.</div></div><div><h3>Material &amp; methods</h3><div>This retrospective, multicenter study included a training cohort of 349 subjects (201 CP; 148 healthy controls) from Aalborg University Hospital. Test cohort comprised 109 subjects, including 41 pancreas-healthy controls from Aalborg and an external cohort of 68 CP patients from Bergen. Portal venous phase CT scans were automatically segmented, and radiomics features were extracted using PyRadiomics. AI models were trained to classify CP and identify CP-related complications, including exocrine pancreatic insufficiency (EPI), diabetes, and pain. Model performance was assessed using area under the receiver operating characteristic curve (AUC) with 95% confidence intervals (CI).</div></div><div><h3>Results</h3><div>The CP classification model demonstrated high discriminative performance with an AUC of 0.97 (95% CI: 0.94–0.99). The EPI model showed moderate discriminative performance (AUC 0.80, 95% CI: 0.66–0.88). In contrast, the diabetes and pain models demonstrated lower discriminative performance, with AUCs of 0.63 (95% CI: 0.47–0.77) and 0.59 (95% CI: 0.37–0.67), respectively. Radiomics-derived probability scores correlated significantly with fecal elastase levels (p &lt; 0.001) and increased with greater functional disease severity (p = 0.004).</div></div><div><h3>Conclusion</h3><div>CT-based radiomics can accurately classify CP and reflect exocrine functional impairment. However, performance for diabetes and pain was limited, and clinical utility beyond established clinical assessments remains to be demonstrated.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"196 ","pages":"Article 112711"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146141629","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":"Ultrashort echo time MRI radiomics as a predictor of clinical outcomes in patellar tendinopathy: Insights from a large prospective clinical trial","authors":"Yijie Fang ,&nbsp;Jie Deng ,&nbsp;Stephan J. Breda ,&nbsp;Robert-Jan de Vos ,&nbsp;Edwin H.G. Oei ,&nbsp;Jukka Hirvasniemi","doi":"10.1016/j.ejrad.2026.112675","DOIUrl":"10.1016/j.ejrad.2026.112675","url":null,"abstract":"<div><h3>Purpose</h3><div>To evaluate the predictive utility of radiomic features extracted from ultrashort echo time (UTE) MRI in comparison to conventional proton density (PD) sequences for short-term (24-week) and long-term (5-year) clinical outcomes in patients with patellar tendinopathy (PT) receiving exercise therapy.</div></div><div><h3>Materials and methods</h3><div>This prospective study of 76 PT patients undergoing 24-week exercise therapy underwent baseline 3D UTE and PD MRI at 3.0 T. The patellar tendon segmentation used nnU-Net, evaluated with Dice coefficient. Six predictive models consisting of clinical covariates and radiomic features from UTE and PD were developed using Elastic Net with 10-fold cross-validation. Model performance in predicting responsiveness of the patient-reported Victorian Institute of Sports Assessment (VISA-P) score was evaluated using the area under the receiver operating characteristic curve (ROC AUC) and the precision-recall curve (PR AUC), with 95% confidence intervals.</div></div><div><h3>Results</h3><div>The mean Dice similarity coefficient for the automatic segmentation of the patellar tendon from 3D-PD was 0.92 (SD: 0.02) and from 3D-UTE-Cones 0.89 (SD: 0.03). The UTE-based radiomics model demonstrated the highest predictive performance at 24 weeks (ROC AUC: 0.714 [95% CI: 0.701–0.727]; PR AUC: 0.848 [0.837–0.858]), while the PD-based model showed the lowest (ROC AUC: 0.569 [0.553–0.584]; PR AUC: 0.710 [0.692–0.727]). At the 5-year follow-up, UTE radiomics maintained robust performance (ROC AUC: 0.692 [0.677–0.706]; PR AUC: 0.822 [0.810–0.834]), whereas PD radiomics remained limited (ROC AUC: 0.578 [0.561–0.594]; PR AUC: 0.694 [0.676–0.713]).</div></div><div><h3>Conclusions</h3><div>Radiomics features extracted from UTE MRI demonstrate the highest predictive performance for clinical outcomes.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"196 ","pages":"Article 112675"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145997644","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":"Longitudinal predictive value of MOLLI T1 mapping imaging for minimal clinically important difference after surgery for cervical spondylotic myelopathy","authors":"Ruo-Yu Wang ,&nbsp;Xiao-Dan Mu ,&nbsp;Yu-Jin Zhang ,&nbsp;Yi-Fei Peng ,&nbsp;Yue Liu ,&nbsp;Zi-Bo Wang ,&nbsp;Wei Yan ,&nbsp;Li Zhang","doi":"10.1016/j.ejrad.2026.112660","DOIUrl":"10.1016/j.ejrad.2026.112660","url":null,"abstract":"<div><h3>Objective</h3><div>To investigate the predictive value of MOLLI T₁ mapping imaging for the longitudinal changes in Minimal Clinical Important Difference (MCID) after surgery for patients with Cervical Spondylotic Myelopathy (CSM).</div></div><div><h3>Methods</h3><div>A prospective study enrolled 163 surgically treated CSM patients (October 2022–October 2023). All underwent preoperative conventional MRI and MOLLI T₁ mapping. The MCID was determined based on the difference in Modified Japanese Orthopedic Association (m JOA) scores before and at 3, 6, and 12 months after surgery. Patients with an MCID less than 2 were defined as the poor prognosis group, while those with an MCID of 2 or higher were defined as the good prognosis group. Patients were classified into the good prognosis and poor prognosis groups at 3, 6,12 months postoperatively. The differences in conventional MRI features and T₁ values between the two groups at these time points were compared. Univariate and multivariate logistic regression identified recovery predictors, with forest plots generated. Receiver operating characteristic (ROC) curve analysis assessed diagnostic performance.</div></div><div><h3>Results</h3><div>At 3 months, (27 good vs 136 poor). Only T₂WI hyperintensity differed between groups [Area under the receiver operating characteristic curve (AUC)=0.597, cut off = 0.1942; sensitivity = 40.74 %, specificity = 78.68 %]. At 6 months (60 good vs 103 poor), T₁ values showed significance (AUC = 0.690, cut off = 0.3091; sensitivity = 83.33 %, specificity = 47.57 %). At 12 months (100 good vs 63 poor), T₁ values demonstrated superior prediction (AUC = 0.875,cut off = 0.6389; sensitivity = 75.00 %, specificity = 88.89 %).</div></div><div><h3>Conclusion</h3><div>MOLLI T₁ mapping effectively predicts CSM recovery at 6,12 months postoperatively, with optimal diagnostic performance at 12 months.</div></div><div><h3>Critical relevance statement</h3><div>This study first employs MRI T₁ mapping to predict MCID outcomes in CSM patients, demonstrating its high predictive value for favorable postoperative prognosis and providing a reliable imaging parameter for outcome assessment.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"196 ","pages":"Article 112660"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145951523","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 sign of venous varicosity aids in diagnosis of quadrilateral space syndrome: A comparative study","authors":"Li Ying ,&nbsp;Dawei Han ,&nbsp;Liwei Ying ,&nbsp;Danxiu Wang ,&nbsp;Zilong Wang ,&nbsp;Tao-Hsin Tung ,&nbsp;Xiaobo Zhou ,&nbsp;Qingguo Zhang","doi":"10.1016/j.ejrad.2026.112716","DOIUrl":"10.1016/j.ejrad.2026.112716","url":null,"abstract":"<div><h3>Background</h3><div>The diagnosis of quadrilateral space syndrome (QSS) is difficult due to its vague symptoms and lacking of simple imaging signs. This study aimed to assess the diagnostic value of venous varicosity as an indirect MRI marker for QSS.</div></div><div><h3>Methods</h3><div>Two blinded independent observers compared MRI findings of venous varicosity at quadrilateral space between QSS patients and controls. Consecutive QSS patients from July 2023 to July 2024 were included. Consecutive normal subjects from January 2020 to July 2024 and rotator cuff tear patients from June 2024 to July 2024 were included in control group. Venous tortuosity, engorgement, and maximum venous diameter, were evaluated on coronal and sagittal slices. Tortuous and engorged veins were recognized as varicosities.</div><div><strong>Study design</strong>: retrospective comparative study; level of evidence, 3.</div></div><div><h3>Results</h3><div>A total of 31 QSS patients were compared to 119 control subjects. The intraclass correlation coefficient (ICC) of intra-rater reliability for the first observer was 0.90 (95% CI, 0.85–0.94; p &lt; 0.001) for venous tortuosity and 0.96 (95% CI, 0.93–0.98; p &lt; 0.001) for venous engorgement. The ICC of intra-rater reliability for the second observer was 0.85 (95% CI, 0.78–0.90; p &lt; 0.001) for venous tortuosity and 0.92 (95% CI, 0.87–0.95; p &lt; 0.001) for venous engorgement. The ICC of inter-rater reliability was 0.85 (95% CI, 0.77–0.90; p &lt; 0.001) for venous tortuosity and 0.82 (95% CI, 0.72–0.88; p &lt; 0.001) for venous engorgement. There was significant difference in maximum venous diameter between QSS group and control group (3.0 ± 0.7 mm vs. 2.2 ± 0.5 mm, p &lt; 0.001).</div></div><div><h3>Conclusion</h3><div>Venous varicosity posterior to the quadrilateral space on MRI is a simple and specific sign aiding in diagnosis of QSS.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"196 ","pages":"Article 112716"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146164596","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 features of molecular glioblastoma: morphological and advanced imaging insights","authors":"Margaux Roques ,&nbsp;Kevin Pimentel ,&nbsp;Aurore Siegfried-Vergnon ,&nbsp;Elizabeth Moyal ,&nbsp;Caroline Zerbib ,&nbsp;Amaury de Barros ,&nbsp;Magali Raveneau ,&nbsp;Delphine Dghayem ,&nbsp;Fabrice Bonneville","doi":"10.1016/j.ejrad.2026.112692","DOIUrl":"10.1016/j.ejrad.2026.112692","url":null,"abstract":"<div><h3>Objective</h3><div>IDH-wildtype diffuse gliomas with molecular features of glioblastoma (mGBM) were integrated into the GBM category in the 2021 WHO classification, yet their MRI characteristics remain poorly described. This study aimed to detail morphological and advanced MRI features of mGBM to improve diagnostic accuracy and management.</div></div><div><h3>Methods</h3><div>MRI scans (1.5 T or 3 T) of 72 patients with histomolecularly confirmed mGBM were retrospectively reviewed. Two neuroradiologists analyzed morphological features (necrosis, contrast enhancement, FLAIR pattern, multilobar involvement) and advanced imaging findings (diffusion, perfusion).</div></div><div><h3>Results</h3><div>Mean patient age was 63 years. mGBMs showed a broad spectrum of MRI appearances, from grade 2-like (39%) to grade 4-like (26%). Infiltrative FLAIR hyperintensity was nearly constant, frequently with multilobar involvement (65%). Contrast enhancement was absent in 39% or faint/limited when present, often mimicking lower-grade gliomas. Gyriform cortical infiltration sparing white matter was seen in 15% of cases, less than previously reported. Advanced imaging showed diffusion restriction in 64% and elevated rCBV (&gt;1.75) in 88% of cases with perfusion data, leading to reclassification of 22% of morphologically grade 2-like lesions as grade 3-like.</div></div><div><h3>Conclusion</h3><div>mGBMs often mimic low-grade gliomas, exposing patients to underdiagnosis and treatment delays. However, infiltrative FLAIR abnormalities, multilobar involvement, diffusion restriction, or increased perfusion should raise suspicion, particularly in older patients. This cohort describing both morphological and advanced MRI features of mGBM provides practical imaging criteria to enhance early recognition in routine practice.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"196 ","pages":"Article 112692"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074616","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":"Performance of CT-based Node-RADS for assessing cervical regional lymph node metastasis in papillary thyroid carcinoma","authors":"Ying Xiang ,&nbsp;Dandan Huang ,&nbsp;Yuelang Zhang ,&nbsp;Xiaohui Li ,&nbsp;Le Liu ,&nbsp;Kang Zhu ,&nbsp;Ying He ,&nbsp;Haiqiao Sun ,&nbsp;Tuo He ,&nbsp;Xuan Su ,&nbsp;Jiamin Kang ,&nbsp;Weiguo Xu ,&nbsp;Xiaoyong Ren","doi":"10.1016/j.ejrad.2025.112593","DOIUrl":"10.1016/j.ejrad.2025.112593","url":null,"abstract":"<div><h3>Objectives</h3><div>The Node Reporting and Data System (Node-RADS) score system was recently proposed to better characterize lymph node metastasis (LNM). The study aimed to explore the diagnostic performance of Node-RADS score system for predicting LNM on CECT (contrast-enhanced CT) scans in patients with papillary thyroid carcinoma (PTC).</div></div><div><h3>Methods</h3><div>In total, 191 PTC patients (61 males and 130 females, average age: 45.37 ± 13.22 years), who underwent preoperative CECT, US examinations and lymph nodes (LNs) dissection, were retrospectively analyzed through Node-RADS CECT score system. Moreover, the area under the curve (AUC), sensitivity, specificity, and Youden’s index were calculated for Node-RADS CECT score and individual criteria.</div></div><div><h3>Results</h3><div>Overall, 191 patients with a total of 300 LNs (204 metastatic and 96 benign) were assessed. At the LNs level, best performance was found for Node-RADS CECT score ≥ 2 and ≥ 4 of central LNs and lateral LNs (AUC: 0.772 and 0.756), respectively. Node-RADS CECT score was shown to be an independent predictor of LNM (odds ratio [OR] = 2.41, <em>p</em> &lt; 0.05). Among all criteria, combined with Node-RADS CECT score and US achieved the best diagnostic efficiency in evaluation of LNM, with AUCs of 0.846 in central group and 0.872 in lateral group (Delong test: <em>p</em> &lt; 0.05).</div></div><div><h3>Conclusions</h3><div>The Node-RADS CECT score system provides a standardized LNM assessment. Combined Node-RADS CECT score and US would lead to an enhancement in predictive accuracy. Whereas, the rates of LNM ranged from 15.32% to 35.48% at the node level for score 1 and 2, which should be validated in the future research.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"195 ","pages":"Article 112593"},"PeriodicalIF":3.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145676780","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":"Changes in the cerebral glymphatic system after rehabilitation of COVID-19 patients: A five-year follow-up study","authors":"Jiaqi Yao ,&nbsp;Lijie Zhang ,&nbsp;Sihong Huang ,&nbsp;Shirui Cao ,&nbsp;Xinjia Xu ,&nbsp;Junjie Yang ,&nbsp;Yule Zeng ,&nbsp;Jun Liu","doi":"10.1016/j.ejrad.2025.112615","DOIUrl":"10.1016/j.ejrad.2025.112615","url":null,"abstract":"<div><h3>Background</h3><div>COVID-19 patients often experience cognitive deficits and sleep disorders, potentially linked to cerebral glymphatic system (GS) dysfunction. Long-term progression remains unclear.</div></div><div><h3>Methods</h3><div>A prospective follow-up study was conducted on 17 COVID-19 patients at 1(V1), 2 (V2), and 5 years (V5) post-discharge. Multimodal MRI was used to assess the Analysis Along the Perivascular Space (ALPS) index, White Matter Free Water (WM-FW), Choroid Plexus Volume (CPV), and Global Blood-Oxygen-Level-Dependent–Cerebrospinal Fluid (gBOLD–CSF) Coupling, alongside comprehensive neuropsychological tests. Data were analyzed using Linear Mixed-Effects Models (LME), correlation, and regression analyses (<em>P</em> &lt; 0.05), with Minimal Clinically Important Difference (MCID) and Receiver Operating Characteristic (ROC) analyses applied to evaluate clinical significance and discriminative performance.</div></div><div><h3>Results</h3><div>COVID-19 patients exhibited persistent declines in cognitive and sleep functions, as measured by the Logical Memory Test-B (V5: <em>P</em> &lt; 0.001) and the Pittsburgh Sleep Quality (V1: <em>P</em> &lt; 0.001, V5: <em>P</em> = 0.004). The ALPS index remained reduced (V1_L:<em>P</em> = 0.026; V2_L:<em>P</em> = 0.011; V5_R: <em>P</em> = 0.025), while WM-FW fluctuated nonlinearly (V1:<em>P</em> = 0.028; V5:<em>P</em> = 0.045) and CPV was stable (L: χ² = 0.36, <em>P</em> = 0.83; R: χ² = 0.27, <em>P</em> = 0.87). gBOLD–CSF showed significant recovery (χ² = 24.95, <em>P</em> &lt; 0.001), exceeding the MCID and correlating with word fluency (β = –0.754, <em>P</em> &lt; 0.001) and sleep quality; ROC analysis confirmed high discriminative power (AUC = 0.853).</div></div><div><h3>Conclusion</h3><div>Structural GS impairment may persist up to 5 years, while gBOLD–CSF shows reversible, clinically meaningful recovery. Integrating four imaging markers, this study outlines a “persistent damage–partial recovery–nonlinear fluctuation” trajectory, offering mechanistic insights into SARS-CoV-2 infection and a potential biomarker for long-term monitoring.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"195 ","pages":"Article 112615"},"PeriodicalIF":3.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145827211","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":"Artificial intelligence performance in image-based biliary atresia identification: a systematic review and meta-analysis","authors":"Anis Halimi ,&nbsp;Ahmed Msherghi ,&nbsp;Mohamedhen Vall Nounou ,&nbsp;Basma Mansor Elhabbasi ,&nbsp;Bushray Abdulrahman ,&nbsp;Ahmed Abouelella ,&nbsp;Asmaa Shanab ,&nbsp;Rihane Zakraoui ,&nbsp;Ayatallah Ahmed Farrag ,&nbsp;Muhammed Elhadi","doi":"10.1016/j.ejrad.2025.112651","DOIUrl":"10.1016/j.ejrad.2025.112651","url":null,"abstract":"<div><h3>Background</h3><div>Biliary atresia (BA) is a rare condition that can lead to serious health complications. Artificial Intelligence (AI)- based medical imaging has shown potential to improve the detection of BA diagnosis, offering increased accuracy over traditional imaging methods. This meta-analysis aimed to evaluate the diagnostic accuracy of imaging-based AI for detecting BA.</div></div><div><h3>Methods</h3><div>The study followed PRISMA DTA guidelines and was registered in the PROSPERO database. The search was performed in PubMed, Web of Science, Embase, and Scopus databases for studies reporting the diagnostic accuracy of imaging-based AI models in detecting BA. Meanwhile, pre-defined eligibility criteria were used for the selection of studies. Pooled sensitivity, specificity, and area under the curve (AUC) were calculated utilizing R 4.4.2. Quality assessment was performed using the Quality Assessment of Diagnostic Accuracy Studies–AI (QUADAS-AI) criteria and the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool, and the GRADE approach was applied to evaluate the certainty of the synthesised evidence.</div></div><div><h3>Results</h3><div>A total of nine studies were included in this meta-analysis. The overall quality of the included studies was moderate to high, although a high risk of bias was noted in the index test domain of several studies. A total of 11,006 patients were analyzed, comprising 2,357 BA cases and 8,649 non-BA cases, with 11,500 ultrasound images.</div><div>Patient-level analysis revealed pooled sensitivities, specificities, and AUCs of 93.8 % (95 % CI: 86–97.4 %), 93.2 % (95 % CI: 91.8–94.4 %), and 0.94, respectively. Additionally, the pooled results of image-based analysis revealed sensitivity, specificity, and AUC of 86.9 % (95 % CI: 73.7–94.1 %), 94.3 % (95% CI: 90.9–96.4 %), and 0.965, respectively.</div></div><div><h3>Conclusion</h3><div>AI shows satisfactory performance in the imaging-based diagnosis of biliary atresia. It should be regarded as an assistive tool that supports clinical decision-making, and further high-quality studies are needed to confirm its generalizability.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"195 ","pages":"Article 112651"},"PeriodicalIF":3.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145917405","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":"Head position matters: Position‑dependent vestibular flow void artifacts in inner ear MRI and their clinical implications","authors":"Domagoj Javor ,&nbsp;Markus Leyer ,&nbsp;Bryan K. Ward ,&nbsp;Barbara Bennani-Baiti ,&nbsp;Elisabeth Ranharter ,&nbsp;Michael Bauer ,&nbsp;Margit Kirschbaum ,&nbsp;Markus Brunner ,&nbsp;Bela Büki","doi":"10.1016/j.ejrad.2025.112638","DOIUrl":"10.1016/j.ejrad.2025.112638","url":null,"abstract":"<div><div>It has been shown that static magnetic fields from high-strength magnetic resonance imaging (MRI) machines induce nystagmus in all humans with intact inner ear function. This effect can be explained by the magneto-hydrodynamic Lorentz force, which arises from the interaction of endolymphatic ionic currents and the strong static magnetic field of an MRI machine. Prior experiments demonstrated that MRI-induced nystagmus and vertigo vary with head pitch relative to the magnetic field, being reduced when the head is pitched forward and increased when extended. In another study it has been suggested that signal void artefacts reflected Lorentz-force-induced endolymph movement caused by the interaction between ionic currents flowing through the utricular macula and the static magnetic field of the MRI scanner. Based on these findings the present authors proposed that if the hypointensities are flow voids caused by Lorentz forces, their visibility should also vary with head pitch. In this case, both nystagmus and vestibular hypointensities would share a common mechanism. Twenty healthy volunteers (8 males and 12 females) were recruited to undergo a non-contrast 3 Tesla (T) MRI scan in one of two head pitch positions: chin up (head extension, pitched backward) and chin down (head flexion, pitched forward). A statistically significant increase in hypointensities was observed between the pitched forward and pitched backward positions for both ears (p &lt; 0.01), while no significant differences were detected between corresponding positions of the left and right ears. These findings not only support a Lorentz‑force origin of vestibular hypointensities but also have immediate clinical applicability, with direct implications for radiological interpretation and protocol design to reduce misinterpretation and patient vertigo.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"195 ","pages":"Article 112638"},"PeriodicalIF":3.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921120","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}