European Journal of Radiology Open最新文献

{"title":"Neurochemical characteristics of pathological tissues in epilepsy: A preliminary 1H MR spectroscopy study at 7 T","authors":"Lijing Xin ,&nbsp;Philippe Reymond ,&nbsp;José Boto ,&nbsp;Frederic Grouiller ,&nbsp;Serge Vulliemoz ,&nbsp;Francois Lazeyras ,&nbsp;Maria Isabel Vargas","doi":"10.1016/j.ejro.2025.100640","DOIUrl":"10.1016/j.ejro.2025.100640","url":null,"abstract":"<div><h3>Background and purpose</h3><div>This study aims to evaluate the neurochemical characteristics of pathological tissues by ¹H magnetic resonance spectroscopy (MRS) in patient with pharmaco-resistant focal epilepsy at 7 T.</div></div><div><h3>Methods</h3><div>Thirteen patients with drug-resistant epilepsy and focal seizure successfully underwent MRS examinations at 7 T MRI scanners. ¹H MR spectra were acquired from two voxels (lesion side and contralateral side) using the semi-adiabatic spin-echo full-intensity localized spectroscopy (sSPECIAL) sequence. Metabolite levels were quantified from LCModel and reported as to total creatine ratio.</div></div><div><h3>Results</h3><div>In comparison to the contralateral side, lesions in focal cortical dysplasia demonstrated significantly reduced macromolecule and N-acetyl aspartate, significantly increased total choline and glycine + myo-inositol, and a distinct reduction trend of glutamate.</div></div><div><h3>Conclusions</h3><div>We conclude that performing MRS at high magnetic field offered the potential to reveal metabolic alterations in epilepsy lesions that may help to further understand the underlying pathophysiology of the disease.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100640"},"PeriodicalIF":1.8,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of lymph node metastasis in papillary thyroid carcinoma using non-contrast CT-based radiomics and deep learning with thyroid lobe segmentation: A dual-center study","authors":"Hao Wang ,&nbsp;Xuan Wang ,&nbsp;Yusheng Du ,&nbsp;You Wang ,&nbsp;Zhuojie Bai ,&nbsp;Di Wu ,&nbsp;Wuliang Tang ,&nbsp;Hanling Zeng ,&nbsp;Jing Tao ,&nbsp;Jian He","doi":"10.1016/j.ejro.2025.100639","DOIUrl":"10.1016/j.ejro.2025.100639","url":null,"abstract":"<div><h3>Objectives</h3><div>This study aimed to develop a predictive model for lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) patients by deep learning radiomic (DLRad) and clinical features.</div></div><div><h3>Methods</h3><div>This study included 271 thyroid lobes from 228 PTC patients who underwent preoperative neck non-contrast CT at Center 1 (May 2021–April 2024). LNM status was confirmed via postoperative pathology, with each thyroid lobe labeled accordingly. The cohort was divided into training (n = 189) and validation (n = 82) cohorts, with additional temporal (n = 59 lobes, Center 1, May–August 2024) and external (n = 66 lobes, Center 2) test cohorts. Thyroid lobes were manually segmented from the isthmus midline, ensuring interobserver consistency (ICC ≥ 0.8). Deep learning and radiomics features were selected using LASSO algorithms to compute DLRad scores. Logistic regression identified independent predictors, forming DLRad, clinical, and combined models. Model performance was evaluated using AUC, calibration, decision curves, and the DeLong test, compared against radiologists' assessments.</div></div><div><h3>Results</h3><div>Independent predictors of LNM included age, gender, multiple nodules, tumor size group, and DLRad. The combined model demonstrated superior diagnostic performance with AUCs of 0.830 (training), 0.799 (validation), 0.819 (temporal test), and 0.756 (external test), outperforming the DLRad model (AUCs: 0.786, 0.730, 0.753, 0.642), clinical model (AUCs: 0.723, 0.745, 0.671, 0.660), and radiologist evaluations (AUCs: 0.529, 0.606, 0.620, 0.503). It also achieved the lowest Brier scores (0.167, 0.184, 0.175, 0.201) and the highest net benefit in decision-curve analysis at threshold probabilities &gt; 20 %.</div></div><div><h3>Conclusions</h3><div>The combined model integrating DLRad and clinical features exhibits good performance in predicting LNM in PTC patients.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100639"},"PeriodicalIF":1.8,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of plaque progression using different machine learning models of pericoronary adipose tissue radiomics based on coronary computed tomography angiography","authors":"Jingjing Pan ,&nbsp;Qianyu Huang ,&nbsp;Jiangming Zhu ,&nbsp;Wencai Huang ,&nbsp;Qian Wu ,&nbsp;Tingting Fu ,&nbsp;Shuhui Peng ,&nbsp;Jiani Zou","doi":"10.1016/j.ejro.2025.100638","DOIUrl":"10.1016/j.ejro.2025.100638","url":null,"abstract":"<div><h3>Objectives</h3><div>To develop and validate the value of different machine learning models of pericoronary adipose tissue (PCAT) radiomics based on coronary computed tomography angiography (CCTA) for predicting coronary plaque progression (PP).</div></div><div><h3>Methods</h3><div>This retrospective study evaluated 97 consecutive patients (with 127 plaques: 40 progressive and 87 nonprogressive) who underwent serial CCTA examinations. We analyzed conventional parameters and PCAT radiomics features. PCAT radiomics models were constructed using logistic regression (LR), K-nearest neighbors (KNN), and random forest (RF). Logistic regression analysis was applied to identify variables for developing conventional parameter models. Model performances were assessed by metrics including area under the curve (AUC), accuracy, sensitivity, and specificity.</div></div><div><h3>Results</h3><div>At baseline CCTA, 93 radiomics features were extracted from CCTA images. After dimensionality reduction and feature selection, two radiomics features were deemed valuable. Among radiomics models, we selected the RF as the optimal model in the training and validation sets (AUC = 0.971, 0.821). At follow-up CCTA, logistic regression analysis showed that increase in fat attenuation index (FAI) and decrease in PCAT volume were independent predictors of PP. The predictive capability of the combined model (increase in FAI + decrease in PCAT volume) was the best in the training and validation sets (AUC = 0.907, 0.882).</div></div><div><h3>Conclusions</h3><div>At baseline CCTA, the RF-based PCAT radiomics model demonstrated excellent predictive ability for PP. Furthermore, at follow-up CCTA, our results indicated that both increase in FAI and decrease in PCAT volume can independently predict PP, and their combination provided enhanced predictive ability.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100638"},"PeriodicalIF":1.8,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MRI and CT radiomics for the diagnosis of acute pancreatitis","authors":"Caterina Tartari ,&nbsp;Fabio Porões ,&nbsp;Sabine Schmidt ,&nbsp;Daniel Abler ,&nbsp;Thomas Vetterli ,&nbsp;Adrien Depeursinge ,&nbsp;Clarisse Dromain ,&nbsp;Naïk Vietti Violi ,&nbsp;Mario Jreige","doi":"10.1016/j.ejro.2025.100636","DOIUrl":"10.1016/j.ejro.2025.100636","url":null,"abstract":"<div><h3>Purpose</h3><div>To evaluate the single and combined diagnostic performances of CT and MRI radiomics for diagnosis of acute pancreatitis (AP).</div></div><div><h3>Materials and methods</h3><div>We prospectively enrolled 78 patients (mean age 55.7 ± 17 years, 48.7 % male) diagnosed with AP between 2020 and 2022. Patients underwent contrast-enhanced CT (CECT) within 48–72 h of symptoms and MRI ≤ 24 h after CECT. The entire pancreas was manually segmented tridimensionally by two operators on portal venous phase (PVP) CECT images, T2-weighted imaging (WI) MR sequence and non-enhanced and PVP T1-WI MR sequences. A matched control group (n = 77) with normal pancreas was used. Dataset was randomly split into training and test, and various machine learning algorithms were compared. Receiver operating curve analysis was performed.</div></div><div><h3>Results</h3><div>The T2WI model exhibited significantly better diagnostic performance than CECT and non-enhanced and venous T1WI, with sensitivity, specificity and AUC of 73.3 % (95 % CI: 71.5–74.7), 80.1 % (78.2–83.2), and 0.834 (0.819–0.844) for T2WI (p = 0.001), 74.4 % (71.5–76.4), 58.7 % (56.3–61.1), and 0.654 (0.630–0.677) for non-enhanced T1WI, 62.1 % (60.1–64.2), 78.7 % (77.1–81), and 0.787 (0.771–0.810) for venous T1WI, and 66.4 % (64.8–50.9), 48.4 % (46–50.9), and 0.610 (0.586–0.626) for CECT, respectively.</div><div>The combination of T2WI with CECT enhanced diagnostic performance compared to T2WI, achieving sensitivity, specificity and AUC of 81.4 % (80–80.3), 78.1 % (75.9–80.2), and 0.911 (0.902–0.920) (p = 0.001).</div></div><div><h3>Conclusion</h3><div>The MRI radiomics outperformed the CT radiomics model to detect diagnosis of AP and the combination of MRI with CECT showed better performance than single models. The translation of radiomics into clinical practice may improve detection of AP, particularly MRI radiomics.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100636"},"PeriodicalIF":1.8,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low KV-low contrast medium dose one-stop dual source CT high pitch integrated coronary-carotid-cerebral-aortic CTA improves image quality and reduces both radiation and contrast medium doses","authors":"Meng Wang,&nbsp;Chao Zheng,&nbsp;Lin Yang,&nbsp;Juan Su,&nbsp;Bo Wang,&nbsp;JieXin Sheng","doi":"10.1016/j.ejro.2025.100637","DOIUrl":"10.1016/j.ejro.2025.100637","url":null,"abstract":"<div><h3>Rationale and objectives</h3><div>To evaluate the impact of low dose-low contrast medium injection protocol on radiation dose and image quality of one-stop dual source high pitch integrated coronary -carotid -cerebral- aortic CTA.</div></div><div><h3>Methods</h3><div>A total of 211 non-obese patients, consisting of 44 females with an average age of 59 years, were split into two groups: low dose group (LD group n = 136) and routine dose group (RD group n = 75). Noise, attenuation, signal to noise ratio (SNR), and contrast to noise ratio (CNR) were compared between the groups by setting region of interest (ROI) in target vessels to evaluate objective image quality. Two radiologists assessed subjective image quality using the 5-point scale. volumetric CT dose index (CTDIvol), dose length production (DLP), and effective radiation dose (ED) were compared, while contrast medium (CM) dose was assessed by CM volume and iodine uptake (IU).</div></div><div><h3>Results</h3><div>Both radiation and CM dose were significantly reduced in the LD group compared with the RD group, DLP and ED were reduced by 51 %, and CM volume and IU were reduced by 13 % (all p &lt; 0.05). Attenuation and noise were higher, while SNR and CNR were close to or slightly higher in the LD group compared with the RD group. The LD group had higher subjective image quality scores while all scores in the two groups satisfied the diagnostic requirements.</div></div><div><h3>Conclusion</h3><div>Low-kV, low-CM one-stop dual-source high-pitch integrated coronary-carotid-cerebral-aortic CTA can ensure image quality while significantly reducing the doses of contrast medium and radiation</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100637"},"PeriodicalIF":1.8,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143101133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Real-time shear wave elastography in measuring normal ileocolon intestinal wall stiffness using colonoscopy as reference: A single-center research","authors":"Shuo Wang ,&nbsp;Shihui Li ,&nbsp;Shuling Chen ,&nbsp;Manying Li ,&nbsp;Xiaoyan Xie ,&nbsp;Mao Ren ,&nbsp;Yujun Chen","doi":"10.1016/j.ejro.2024.100632","DOIUrl":"10.1016/j.ejro.2024.100632","url":null,"abstract":"<div><h3>Purpose</h3><div>To investigate the feasibility of real-time shear wave elastography (SWE) in evaluating intestinal wall stiffness, and to establish the threshold SWE value of normal intestinal wall and explore the influencing factors of intestinal SWE.</div></div><div><h3>Method</h3><div>659 subjects who underwent intestinal SWE and colonoscopy were retrospectively enrolled. The wall elasticity of colonoscopy-confirmed normal/abnormal intestinal segment was measured by transabdominal SWE. Measurement reliability was evaluated by the intraclass correlation coefficient (ICC). The threshold value of SWE in differentiating normal and abnormal intestine was determined using ROC curve analysis with the largest Youden index, and the diagnostic performance of this threshold was evaluated. We explored the effects of gender, age, depth and type of the targeted intestinal segment on the intestinal wall elasticity by <em>t</em> test and logistic linear regression analysis.</div></div><div><h3>Results</h3><div>The technical success rate of SWE examination is 95.3 % (628/659). The mean SWE value of normal intestinal walls is (5.45 ± 1.34) kPa, which was significantly lower than that of abnormal ones (15.38 kPa±7.22, <em>P</em> &lt; 0.001). Using 8.1 kPa as the threshold， the sensitivity and specificity were 93.5 % and 96.0 % with an AUC of 94.8 %. The overall ICC for SWE measurements was 0.933. Gender (ß=0.278, <em>P</em> = 0.013), depth (ß=0.220, <em>P</em> = 0.043) and type of the targeted segment (ß=0.522, <em>P</em> &lt; 0.001) was associated with the SWE value of intestinal wall, but age was not (ß=0.050, <em>P</em> = 0.484).</div></div><div><h3>Conclusions</h3><div>SWE is feasible in evaluating the stiffness of intestinal wall with high reliability. The SWE threshold value differentiating normal intestinal wall and abnormal intestinal wall is 8.1 kPa.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100632"},"PeriodicalIF":1.8,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultra-fast biparametric MRI in prostate cancer assessment: Diagnostic performance and image quality compared to conventional multiparametric MRI","authors":"Antonia M. Pausch ,&nbsp;Vivien Filleböck ,&nbsp;Clara Elsner ,&nbsp;Niels J. Rupp ,&nbsp;Daniel Eberli ,&nbsp;Andreas M. Hötker","doi":"10.1016/j.ejro.2025.100635","DOIUrl":"10.1016/j.ejro.2025.100635","url":null,"abstract":"<div><h3>Purpose</h3><div>To compare the diagnostic performance and image quality of a deep-learning-assisted ultra-fast biparametric MRI (bpMRI) with the conventional multiparametric MRI (mpMRI) for the diagnosis of clinically significant prostate cancer (csPCa).</div></div><div><h3>Methods</h3><div>This prospective single-center study enrolled 123 biopsy-naïve patients undergoing conventional mpMRI and additionally ultra-fast bpMRI at 3 T between 06/2023–02/2024. Two radiologists (R1: 4 years and R2: 3 years of experience) independently assigned PI-RADS scores (PI-RADS v2.1) and assessed image quality (mPI-QUAL score) in two blinded study readouts. Weighted Cohen’s Kappa (κ) was calculated to evaluate inter-reader agreement. Diagnostic performance was analyzed using clinical data and histopathological results from clinically indicated biopsies.</div></div><div><h3>Results</h3><div>Inter-reader agreement was good for both mpMRI (κ = 0.83) and ultra-fast bpMRI (κ = 0.87). Both readers demonstrated high sensitivity (≥94 %/≥91 %, R1/R2) and NPV (≥96 %/≥95 %) for csPCa detection using both protocols. The more experienced reader mostly showed notably higher specificity (≥77 %/≥53 %), PPV (≥62 %/≥45 %), and diagnostic accuracy (≥82 %/≥65 %) compared to the less experienced reader. There was no significant difference in the diagnostic performance of correctly identifying csPCa between both protocols (p &gt; 0.05). The ultra-fast bpMRI protocol had significantly better image quality ratings (p &lt; 0.001) and achieved a reduction in scan time of 80 % compared to conventional mpMRI.</div></div><div><h3>Conclusion</h3><div>Deep-learning-assisted ultra-fast bpMRI protocols offer a promising alternative to conventional mpMRI for diagnosing csPCa in biopsy-naïve patients with comparable inter-reader agreement and diagnostic performance at superior image quality. However, reader experience remains essential for diagnostic performance.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100635"},"PeriodicalIF":1.8,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of objective quality parameters between CTA and CTP angiographic reconstructions in ischemic stroke patients","authors":"M.M.Q. Robbe ,&nbsp;F.M.E. Pinckaers ,&nbsp;A.H.H. Dirx ,&nbsp;P.H.M. Voorter ,&nbsp;W.H. van Zwam ,&nbsp;B.A.J.M. Wagemans ,&nbsp;A.A. Postma","doi":"10.1016/j.ejro.2025.100634","DOIUrl":"10.1016/j.ejro.2025.100634","url":null,"abstract":"<div><h3>Introduction</h3><div>CT perfusion-angiographic reconstructions (CTP-AR) may be used for occlusion detection in ischemic stroke patients. Objective image quality of CTP-AR needs to be evaluated before implementation as it may affect occlusion detection. In this study, we aimed to assess the objective image quality, by means of contrast to noise ratio (CNR) and signal to noise ratio (SNR), of both CT-angiography and CT perfusion-angiographic reconstructions (CTP-AR).</div></div><div><h3>Methods</h3><div>Patients with an ischemic stroke between September 2020 up to and including September 2021 who underwent both CT perfusion and CTA at baseline were included. CTP-AR was reconstructed from 1 mm CTP series at the peak arterial enhancement. Per patient, five ipsilateral and five contralateral regions of interest (ROI) were placed. Attenuation and standard deviation per ROI were used to calculate CNR and SNR. Differences in CNR and SNR between CTA and CTP-AR were tested using paired-sample t-tests.</div></div><div><h3>Results</h3><div>In total, 195/239 patients were included. Both on the ipsilateral and contralateral side, the CNR was significantly higher on CTP-AR compared to CTA (<em>P</em> &lt; .001 and <em>P</em> &lt; .001, respectively). The SNR measured in the M1 was not significantly different between CTA and CTP-AR (ipsilateral: <em>P</em> = .68; contralateral: <em>P</em> = .63). The SNR, both on the ipsilateral and contralateral side, was significantly lower on CTP-AR compared to CTA in all parenchyma regions; the caudate nucleus (<em>P</em> &lt; .001), lentiform nucleus (<em>P</em> &lt; .001), centrum semiovale (<em>P</em> &lt; .001), and the parenchyma adjacent to the M1 (<em>P</em> &lt; .001).</div></div><div><h3>Conclusion</h3><div>Image quality measures of CTP-derived angiographic reconstructions indicate higher CNR compared to CTA, but a lower SNR in non-angiographic structures.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100634"},"PeriodicalIF":1.8,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11782948/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143081532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of hemodynamic disturbances and impaired ventricular filling in asymptomatic fontan patients: A 4D flow CMR study","authors":"Li-Wei Hu ,&nbsp;Xiaodan Zhao ,&nbsp;Shuang Leng ,&nbsp;RongZhen Ouyang ,&nbsp;Qian Wang ,&nbsp;Ai-Min Sun ,&nbsp;Yi-Man Liu ,&nbsp;Wei Dong ,&nbsp;Liang Zhong ,&nbsp;Yu-Min Zhong","doi":"10.1016/j.ejro.2024.100631","DOIUrl":"10.1016/j.ejro.2024.100631","url":null,"abstract":"<div><h3>Background</h3><div>The Fontan procedure is a surgical intervention designed for patients with single ventricle physiology, wherein the systemic venous return is redirected into the pulmonary circulation, thereby facilitating passive pulmonary blood flow without the assistance of ventricular propulsion. Consequently, long-term follow-up of individuals who have undergone the asymptomatic Fontan procedure is essential.</div></div><div><h3>Objectives</h3><div>The aims of this investigation were to: 1) examine the impact of flow components and kinetic energy (KE) parameters on hemodynamic disturbances in asymptomatic Fontan patients and control group; 2) Assess left ventricular diastolic dysfunction through the analysis of 4D flow parameters across different Fontan sub-groups; 3) Compare intracardiac flow parameters among Fontan sub-groups based on morphological features of the left ventricle (LV) and right ventricle (RV).</div></div><div><h3>Methods</h3><div>Twenty-five Fontan patients (mean age: 10 ± 3 years, male/female: 15/10) and fourteen control subjects (mean age: 10 ± 2 years, male/female: 8/6) were recruited retrospectively for the study. The Fontan patients were further categorized into three groups based on their ventricular function: left ventricular (LV), right ventricular (RV), and biventricular (BiV). Each participant underwent cardiovascular magnetic resonance (CMR) imaging, including cine and 4D flow sequences on a 3.0 T scanner. Ventricular flow components and KE were assessed using 4D flow. The study utilized cine images to analyze cardiac function and inter-ventricular mechanical dyssynchrony. Echocardiography evaluated functional ventricular diastolic dysfunction.</div></div><div><h3>Results</h3><div>Fontan patients had a higher median functional single ventricle (FSV) residual volume compared to controls (28 % vs. 23 %, P = 0.034), with lower median FSV direct flow (32 % vs. 40 %, P = 0.005) and delayed ejection flow (17 % vs. 24 %, P = 0.024). The parameters of FSV normalized to the ventricular end-diastolic volume (KEi_EDV) were found to be significantly lower in Fontan patients (all P &lt; 0.05). In both left ventricle (LV) and biventricular (BiV) Fontan subgroups, direct flow was identified as an independent predictor of LV diastolic dysfunction (AUC=0.76, Sensitivity=86 %, Specificity=70 %). Furthermore, residual volume and E-wave KEi_EDV were observed to be significantly different between LV and right ventricle (RV) Fontan subgroups.</div></div><div><h3>Conclusions</h3><div>The altered flow pattern and reduced kinetic energy observed in Fontan patients may indicate hemodynamic disturbances and compromised ventricular filling. Reduced direct flow is associated with LV diastolic dysfunction in LV and BiV Fontan subgroups. Systemic LV exhibited a more efficient intracardiac flow pattern compare with systemic RV in Fontan patients.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100631"},"PeriodicalIF":1.8,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11762912/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143048211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Peroneus brevis split tear – A challenging diagnosis: A pictorial review of magnetic resonance and ultrasound imaging. Part 1. Anatomical basis and clinical insights","authors":"Katarzyna Bokwa-Dąbrowska ,&nbsp;Rafał Zych ,&nbsp;Dan Mocanu ,&nbsp;Michael Huuskonen ,&nbsp;Dawid Dziedzic ,&nbsp;Pawel Szaro","doi":"10.1016/j.ejro.2024.100633","DOIUrl":"10.1016/j.ejro.2024.100633","url":null,"abstract":"<div><div>Diagnosing peroneus brevis split tears is a significant challenge, as many cases are missed both clinically and on imaging. Anatomical variations within the superior peroneal tunnel can contribute to peroneus brevis split tears or instability of the peroneal tendons. However, determining which anatomical variations predispose patients to these injuries remains challenging due to conflicting data in the literature. In this review, we present the current understanding of the role of anatomical variants in the development of peroneus brevis split tears. Many studies emphasize the significance of the retromalleolar groove and retromalleolar tubercle, the impact of a low-lying muscle belly, and the presence of accessory muscles within the superior peroneal tunnel as contributors to peroneal pathology. Hypertrophy of the peroneal tubercle or post-traumatic irregularities in the surface of the retromalleolar groove can accelerate degenerative changes in the peroneal tendons, potentially leading to peroneus brevis split tears. The topographic anatomy of the superior peroneal tunnel is essential for systematically performing ultrasound and interpreting magnetic resonance imaging of the ankle. The first part of this review focuses on the anatomical foundations of imaging diagnostics for peroneus brevis pathology. In the second part, we will examine the radiological spectrum of peroneal tendon injuries, offering a framework to enhance diagnostic confidence in this frequently underdiagnosed pathology.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100633"},"PeriodicalIF":1.8,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11764704/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143048214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}