European Journal of Radiology Open最新文献

{"title":"Prediction early recurrence of hepatocellular carcinoma after hepatectomy using gadoxetic acid-enhanced MRI and IVIM","authors":"Da Guo , Liping Liu , Yu Jin","doi":"10.1016/j.ejro.2025.100643","DOIUrl":"10.1016/j.ejro.2025.100643","url":null,"abstract":"<div><h3>Objectives</h3><div>This study aims to develop and validate a predictive nomogram for early recurrence in hepatocellular carcinoma (HCC), utilizing gadoxetic acid-enhanced MRI and intravoxel incoherent motion (IVIM) imaging to improve preoperative assessment and decision-making.</div></div><div><h3>Materials and methods</h3><div>From March 2018 and June 2022, a total of 245 patients with pathologically confirmed HCC, who underwent preoperative gadoxetic acid-enhanced MRI and IVIM, were retrospectively enrolled from two hospitals. These patients were divided into a training cohort (n = 160) and a validation cohort (n = 85). All patients were followed until death or the last follow-up date, with a minimum follow-up period of two years. Clinical indicators and pathologic information were compared between train cohort and validation cohort. Radiological features and diffusion parameters were compared between recurrence and non-recurrence groups using the chi-square test, Mann-Whitney U test and independent sample t test in training cohort. Univariate and multivariate analyses were performed to identify significant clinical-radiological variables associated with early recurrence in the training cohort. Based on these findings, a predictive nomogram integrating risk factors and diffusion parameters was developed. The predictive performance of the nomogram was evaluated in both the training and validation cohorts.</div></div><div><h3>Results</h3><div>No statistically significant difference in clinical and pathologic characteristics were observed between the training and validation cohorts. In training cohort, significant differences were identified between the recurrence and non-recurrence groups in tumor size, nodule-in-nodule architecture, mosaic architecture, non-smooth tumor margin, intratumor necrosis, satellite nodule, and peritumoral hypo-intensity in the hepatobiliary phase (HBP). The results of multivariate analysis identified tumor size (HR, 1.435; 95 % CI, 0.702–2.026; p < 0.05), mosaic architecture (HR, 0.790; 95 % CI, 0.421–1.480; p < 0.05), non-smooth tumor margin (HR, 1.775; 95 % CI, 0.941–3.273; p < 0.05), intratumor necrosis (HR, 1.414; 95 % CI, 0.807–2.476; p < 0.05), satellite nodule (HR, 0.648; 95 % CI, 0.352–1.191; p < 0.01), peritumoral hypo-intensity on HBP (HR, 2.786; 95 % CI, 1.141–6.802; p < 0.001) and D (HR, 0.658; 95 % CI,0.487–0.889; p < 0.01) were the independent risk factor for recurrence. The nomogram exhibited excellent predictive performance with C-index of 0.913 and 0.875 in the training cohort and validation cohort, respectively. Also, based on the nomogram score, the patients were classified according to risk factor and the Kaplan-Meier curve analysis also showed that the nomogram had a good predictive efficacy.</div></div><div><h3>Conclusion</h3><div>The nomogram, integrating radiological risk factors and diffusion parameters, offers a reliable tool for preoperative prediction of early ","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100643"},"PeriodicalIF":1.8,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143631869","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":"3D non-contrast whole‑heart coronary MR angiography at 3 T with compressed sensing in elderly patients: Optimization of the acceleration factor","authors":"Yue Jiang ,&nbsp;Qiuju Hu ,&nbsp;Yane Zhao ,&nbsp;Dongsheng Jin ,&nbsp;Guangming Lu ,&nbsp;Tong Chen ,&nbsp;Yong Yuan ,&nbsp;Wenjing Liu","doi":"10.1016/j.ejro.2025.100641","DOIUrl":"10.1016/j.ejro.2025.100641","url":null,"abstract":"<div><h3>Background</h3><div>Coronary magnetic resonance angiography (CMRA) is increasingly used in clinical practice, but lengthy scan times can be challenging for elderly patients. This study evaluates the impact of compressed sensing (CS) technology on image quality and diagnostic performance of 3 T CMRA in elderly patients, aiming to identify the optimal acceleration factor.</div></div><div><h3>Methods</h3><div>We prospectively enrolled elderly individuals who underwent coronary computed tomography angiography (CCTA) from June to November 2023 for non-contrast whole-heart CMRA with CS acceleration factors of 4, 6, or 8. Elderly volunteers rated their experiences with the optimal acceleration factor. Image quality and diagnostic performance were analyzed using a general linear model and the area under the receiver operating characteristic curves (AUC), with CCTA as the reference standard.</div></div><div><h3>Results</h3><div>Sixty-seven individuals (34 men, mean age 74.3 ± 7.2 years) were enrolled. Scan times significantly decreased from 578.6 ± 131.4 s to 366.1 ± 91.2 s and 261.1 ± 76.5 s for acceleration factors 4, 6, and 8, respectively. Subjective image quality scores, signal-to-noise ratio, and contrast-to-noise ratio were significantly better with CS4 and CS6 than with CS8. Diagnostic performance declined with increasing acceleration, with sensitivities of 92.2 %, 88.0 %, and 72.5 %, and specificities of 94.1 %, 92.6 %, and 85.3 % for CS4, CS6, and CS8, respectively. CS6 was determined to be the optimal acceleration factor. Volunteers reported that CS6 was more acceptable than CS4.</div></div><div><h3>Conclusions</h3><div>CMRA with CS6 provides rapid scanning while maintaining adequate diagnostic performance, making it a reliable alternative to CCTA for diagnosing coronary artery disease in elderly patients.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100641"},"PeriodicalIF":1.8,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578056","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":"Role of region-of-interest magnetic resonance imaging fusion biopsy in mitigating overtreatment of localized prostate cancer – A retrospective cohort study","authors":"Carrie Wang ,&nbsp;Purvish Trivedi ,&nbsp;Esther Katende ,&nbsp;Varun Awasthi ,&nbsp;Riley Smith ,&nbsp;Ryan Putney ,&nbsp;Yahya Bondokji ,&nbsp;Jong Y. Park ,&nbsp;Jasreman Dhillon ,&nbsp;Kosj Yamoah","doi":"10.1016/j.ejro.2025.100642","DOIUrl":"10.1016/j.ejro.2025.100642","url":null,"abstract":"<div><h3>Background</h3><div>Traditional ultrasonography-based prostate biopsy uses a transrectal approach for systematic sampling of 12 cores. The magnetic resonance imaging (MRI) fusion biopsy uses a targeted approach, first identifying regions of interest (ROI) clinically suspicious for prostate cancer (PCa) through MRI, before performing a prostate biopsy aided by ultrasonography.</div></div><div><h3>Methods</h3><div>The single-center institutional retrospective cohort study used 442 men who were recommended for localized PCa management. Cohort A (n = 346) comprised patients who underwent MRI-guided TRUS biopsies, which included both standard 12-core TRUS biopsies and MRI-targeted biopsies performed simultaneously. Cohort B (n = 96) comprised patients who received only standard TRUS biopsy. The primary endpoint was Gleason reclassification, defined as the change in Gleason scores between standard TRUS and targeted region-of-interest (ROI) biopsies among cohort A. Secondary endpoint assessed the role of ROI biopsies in mitigating overtreatment by analyzing the probability of undergoing treatment and the duration of active surveillance (AS).</div></div><div><h3>Results</h3><div>Among men classified as no tumor on standard biopsy, 16.9 % showed Gleason disease on subsequent ROI biopsy. Additionally, ROI group also had a longer time to receive primary treatment (<em>P</em> = .017), as they were more likely to opt for AS (54 %). Lastly, median time spent on AS was longer for the ROI group compared with the non-ROI cohort (<em>P</em> = .002).</div></div><div><h3>Conclusion</h3><div>Adding multiparametric MRI (mpMRI) biopsy to standard TRUS biopsy may increase the detection of PCa. Additionally, mpMRI may allow patients to remain safely on AS, thereby reducing the need of prostate biopsies and improving cost-effectiveness.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100642"},"PeriodicalIF":1.8,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563569","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":"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}