European Journal of Radiology Open最新文献

{"title":"Editorial for the special issue “Pancreatic imaging: Recent advancements and new frontiers”","authors":"Piero Boraschi","doi":"10.1016/j.ejro.2025.100702","DOIUrl":"10.1016/j.ejro.2025.100702","url":null,"abstract":"","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"15 ","pages":"Article 100702"},"PeriodicalIF":2.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736182","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":"Spectral computer-tomography and the ability to detect occult femoral neck and scaphoid fractures – A systematic review and exploratory meta-analysis","authors":"Camilla Thøgersen Buxbom ,&nbsp;Amalie Braithwaite ,&nbsp;Søren Hess ,&nbsp;Lars Lykke Hermansen ,&nbsp;Martin Weber Kusk","doi":"10.1016/j.ejro.2025.100686","DOIUrl":"10.1016/j.ejro.2025.100686","url":null,"abstract":"<div><h3>Objective</h3><div>This systematic review aims to describe the ability of spectral computed tomography (SCT) to identify bone marrow oedema (BME) in the scaphoid bone and the femoral neck compared to magnetic resonance images (MRI).</div></div><div><h3>Materials and methods</h3><div>PubMed, Embase and Cochrane Library were searched from the 1st of October 2024; eligible studies had patients over 15 years of age, underwent SCT and had MRI as a gold standard. Sensitivities, specificities, negative predictive values (NPV) and positive predictive values (PPV) were noted or calculated from available information. Bias and applicability were assessed using QUADAS-2 tools. A random-effects model was used in the meta-analysis, and heterogeneity was assessed using I² statistics.</div></div><div><h3>Results</h3><div>1061 studies were identified and screened by title/abstract. Twenty-two studies underwent full-text assessment. A total of four were included, of which three were suitable for meta-analysis regarding the scaphoid bone. Pooled sensitivity was 93 %, specificity was 98 %, PPV was 92 % and NPV was 98 %. A single study concerning the femoral neck was located, with sensitivity, specificity, PPV and NPV of 87 %, 94 %, 93 % and 89 % respectively.</div></div><div><h3>Conclusions</h3><div>Data regarding the ability of SCT to detect BME in the femoral neck and scaphoid bone are promising, but limited, with only small studies available. There is a need for larger prospective studies, regarding both the detection of occult fractures in the femoral neck and the scaphoid bone.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"15 ","pages":"Article 100686"},"PeriodicalIF":2.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157319","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":"Deep learning for Three‐Class Classification of ground-glass nodules on non-enhanced chest CT: A multicenter comparative study of CNN architectures","authors":"Meihua Shao ,&nbsp;Jian Wang ,&nbsp;Lin Zhu ,&nbsp;Jianfei Tu ,&nbsp;Guohua Cheng ,&nbsp;Linyang He ,&nbsp;Hengfeng Shi ,&nbsp;Cui Zhang ,&nbsp;Hong Yu","doi":"10.1016/j.ejro.2025.100690","DOIUrl":"10.1016/j.ejro.2025.100690","url":null,"abstract":"<div><h3>Objective</h3><div>To develop, validate, and compare four three-dimensional (3D) convolutional neural network (CNN) models for differentiating ground-glass nodules (GGNs) on non-contrast chest computed tomography (CT) scans, specifically classifying them as adenomatous hyperplasia (AAH)/adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), or invasive adenocarcinoma (IA).</div></div><div><h3>Materials and methods</h3><div>This multi-center study retrospectively enrolled 4284 consecutive patients with surgically resected and pathologically confirmed AAH/AIS, MIA, or IA from four hospitals between January 2015 and December 2023. GGNs were randomly partitioned into a training set (n = 3083, 72 %) and a validation set (n = 1277, 28 %). Four 3D deep learning models (Res2Net 3D, DenseNet3D, ResNet50 3D, Vision Transformer 3D) were implemented for GGN segmentation and three-class classification. Additionally, variants of the Res2Net 3D model were developed by incorporating clinical and CT features: Res2Net 3D_w2 (sex, age), Res2Net 3D_w6 (adding lesion size, location, and smoking history), and Res2Net 3D_w10 (sex, age, location, the mean, maximum, and standard deviation of CT attenuation, nodule volume, volume ratio, volume ratio within the left/right lung, and the maximum CT value of the entire lung). Model performance was evaluated using accuracy, recall, precision, F1-score, and area under the receiver operating characteristic curve (AUC).</div></div><div><h3>Results</h3><div>Res2Net 3D outperformed others, achieving AUCs of 0.91 (AAH/AIS), 0.88 (MIA), and 0.92 (IA). Its F1-scores were 0.416, 0.500, and 0.929, respectively. All Res2Net variants achieved accuracies between 0.83–0.84.</div></div><div><h3>Conclusion</h3><div>The Res2Net 3D model accurately differentiates GGN subtypes using non-contrast CT, showing high performance, especially for invasive adenocarcinoma.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"15 ","pages":"Article 100690"},"PeriodicalIF":2.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145264884","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":"Limited additional value of dual-layer spectral 4DCT compared with conventional 4DCT for preoperative localization in primary hyperparathyroidism","authors":"Jorian P. Krol ,&nbsp;Tessa Veerbeek ,&nbsp;Laura N. Deden ,&nbsp;Frank B.M. Joosten ,&nbsp;Marie Louise E. Bernsen ,&nbsp;Cornelis H. Slump ,&nbsp;Wim J.G. Oyen","doi":"10.1016/j.ejro.2025.100669","DOIUrl":"10.1016/j.ejro.2025.100669","url":null,"abstract":"<div><h3>Purpose</h3><div>Primary hyperparathyroidism, characterized by excessive parathyroid hormone secretion, is typically caused by solitary parathyroid adenomas or multiglandular disease. Accurate preoperative localization is critical for successful surgical parathyroidectomy. While four-dimensional CT (4DCT) is commonly used for this purpose, spectral-CT techniques have recently been introduced, offering improved tissue differentiation. Rapid kV switching and dual-source spectral-CT have been studied, however, this is the first study that evaluates the effectiveness of dual-layer-CT in preoperatively locating parathyroid adenomas in a larger population.</div></div><div><h3>Approach</h3><div>From April 2020 to October 2023, patients with confirmed primary hyperparathyroidism underwent dual-layer spectral 4DCT before surgery. Spectral reconstructions (MonoE40keV, Iodine-Density, Z-effective, Iodine-no-Water, Virtual Non-Contrast) were analyzed alongside conventional CT reconstructions. Mean attenuation values were compared using one-way ANOVA. ROC curves with paired-sample analysis assessed the ability of different reconstructions to distinguish between thyroid and parathyroid tissue, and lymph nodes and parathyroid tissue.</div></div><div><h3>Results</h3><div>Thirty-six patients with thirty-nine parathyroid adenomas were analyzed. Conventional CT reconstructions demonstrated significantly higher AUC values for differentiating thyroid from parathyroid tissue across all phases compared to spectral reconstructions (0.83–0.95 vs. 0.65–0.89, p-value 0.007-&lt;0.001). No significant difference was found between conventional and spectral reconstructions in distinguishing lymph nodes from parathyroid tissue (0.64–0.96 vs. 0.58–0.96, p-value 0.070–0.957). Virtual non-contrast (VNC) reconstructions showed smaller attenuation differences and lower AUC values in arterial and delayed phases compared to true non-contrast (p = 0.031 and 0.034).</div></div><div><h3>Conclusions</h3><div>Dual-layer spectral-CT is comparable or inferior to conventional CT in tissue differentiation. VNC reconstructions are not recommended as a substitute for true non-contrast due to inconsistent results. In this cohort, dual-layer spectral 4DCT did not demonstrate clear clinical advantage; further validation is warranted.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"15 ","pages":"Article 100669"},"PeriodicalIF":1.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144470000","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-driven assessment of over-scanning in chest CT: A systematic review and meta-analysis","authors":"Mo’men Bani-Ahmad ,&nbsp;Andrew England ,&nbsp;Laura McLaughlin ,&nbsp;Marwan Alshipli ,&nbsp;Kholoud Alzyoud ,&nbsp;Yasser H. Hadi ,&nbsp;Mark McEntee","doi":"10.1016/j.ejro.2025.100674","DOIUrl":"10.1016/j.ejro.2025.100674","url":null,"abstract":"<div><h3>Introduction</h3><div>Scan range is crucial for CT acquisitions. However, irrelevant over-scanning in CT is common and contributes to a significant radiation dose. This review explores the role of artificial intelligence (AI) in addressing manual over-scanning in chest CT imaging.</div></div><div><h3>Methods</h3><div>A systematic search of peer-reviewed publications was conducted between December 2015 and March 2025 in Embase, Scopus, Ovid, EBSCOhost, and PubMed. Two reviewers and an academic lecturer independently reviewed the articles to ensure adherence to inclusion criteria. The quality of the included studies was assessed using CLAIM and QUADAS-2 tools. Summary estimates on over-scanning at the upper and lower boundaries of the scan range in chest CT were derived using meta-analysis.</div></div><div><h3>Results</h3><div>Five studies employed AI algorithms to assess manual over-scanning in chest CT using either 2D topograms or 3D axial images at low and standard doses. These models accurately determine the extent of over-scanning, demonstrating strong agreement with radiologist evaluations. All included studies revealed significant variation in over-scanning at the superior (13.5 mm) and inferior (30.2 mm) boundaries of the scan range (p &lt; 0.001), with approximately two-thirds of the total over-scanning (43.2 mm) occurring at the inferior level (abdomen).</div></div><div><h3>Conclusions</h3><div>Integrating AI tools into the over-scanning evaluation process may optimise chest CT imaging protocols and enhance patient safety by reducing over-scanning and radiation dose through real-time monitoring and retrospective analysis.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"15 ","pages":"Article 100674"},"PeriodicalIF":2.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724529","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":"High-pitch photon-counting detector computed tomography angiography of the coronary arteries: Qualitative and quantitative evaluation of monoenergetic image reconstructions","authors":"Andreas Strassl ,&nbsp;Francesco Lauriero ,&nbsp;Maria Alejandra Rueda ,&nbsp;Christian Wassipaul ,&nbsp;Michael Weber ,&nbsp;Christian Loewe ,&nbsp;Dietrich Beitzke ,&nbsp;Lucian Beer","doi":"10.1016/j.ejro.2025.100666","DOIUrl":"10.1016/j.ejro.2025.100666","url":null,"abstract":"<div><h3>Background</h3><div>Dual-source photon-counting detector computed tomography (PCDCT) offers the opportunity to perform cardiac examinations within one beat and simultaneously the acquisition of spectral information. This study, evaluated subjective and objective image quality of virtual monoenergetic image (VMI) reconstructions using data from a first-generation, dual-source PCDCT scanner, operated in high-pitch scanning mode.</div></div><div><h3>Methods</h3><div>We retrospectively included 30 patients who underwent a clinically indicated CTA of the coronary arteries. VMI were reconstructed at five different energy levels. Subjective image quality was assessed by three radiologists according to a four-point Likert scale for four different quality features. To evaluate objective image quality, SNR and CNR were calculated via ROIs placed in the aorta, coronary arteries, myocardium, pectoral muscle, and epicardial fat.</div></div><div><h3>Results</h3><div>VMI at 40, 50, 60, and 70 keV showed equal mean scores (4/4) for subjective vascular contrast, followed by 80 keV reconstructions with a mean score of 3/4. The 40 keV reconstruction yielded the lowest range (3−4) in Likert scores and highest percentage of reader agreement (80 %). Minor differences in subjective image noise, sharpness, and plaque visualization were observed with positive trends toward higher keV levels. SNR and CNR were superior for 40 keV, with a mean of 34.8 ± 1.7HU and 45.4 ± 2.7HU, respectively. Mean applied contrast volume was 65 ml, resulting in a mean CT value of 1150HU for 40 keV VMI.</div></div><div><h3>Conclusion</h3><div>First-generation PCDCT-derived VMI at 40 and 50 keV offer satisfying subjective and objective image quality, even when acquired in high-pitch scanning mode.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"15 ","pages":"Article 100666"},"PeriodicalIF":1.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144279997","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":"Combination of imaging features on pancreatic CT for predicting early recurrence after upfront pancreatoduodenectomy of pancreatic ductal adenocarcinoma","authors":"Shuanglin Zhang ,&nbsp;Yi-Xuan Guo ,&nbsp;Gui-Xue Dai ,&nbsp;Xiumin Qi ,&nbsp;Hao Wang ,&nbsp;Yongping Zhou ,&nbsp;Kai Zhang ,&nbsp;Fang-Ming Chen","doi":"10.1016/j.ejro.2025.100672","DOIUrl":"10.1016/j.ejro.2025.100672","url":null,"abstract":"<div><h3>Purpose</h3><div>This study aimed to identify preoperative computed tomography (CT) imaging features for predicting early recurrence after upfront pancreatoduodenectomy of pancreatic ductal adenocarcinoma (PDAC), and to assess the diagnostic performance and prognostic relevance of their combination.</div></div><div><h3>Methods</h3><div>This study retrospectively included PDAC patients who underwent pancreatoduodenectomy and preoperative pancreatic CT between January 2016 and December 2023. Early recurrence is defined based on imaging evidence or pathology within 12 months after surgery. Significant imaging features for early recurrence were identified using univariate and multivariate analyses. Disease-free survival (DFS) and overall survival (OS) were analyzed in relation to these significant imaging features.</div></div><div><h3>Results</h3><div>A total of 149 patients were evaluated (median age: 67 years; interquartile range: 41–89 years; 82 men), among whom 70 (47.0 %) experienced early recurrence. Rim enhancement, tumor necrosis, peripancreatic tumor infiltration, and suspicious metastatic lymph nodes, were independently associated with early recurrence. When any two or more of these four significant imaging features were combined, the specificity was 86.1 % (68/79) and the sensitivity was 88.6 % (60/70). DFS and OS were significantly worse in PDAC patients with two or more of these features compared to those with none or only one (all log-rank <em>P</em> &lt; 0.001).</div></div><div><h3>Conclusion</h3><div>A combination of two or more imaging features such as rim enhancement, tumor necrosis, peripancreatic tumor infiltration, and suspicious metastatic lymph nodes, could be used as a prognostic imaging marker for early recurrence, demonstrating effective diagnostic performance and an association with DFS and OS after pancreatoduodenectomy of PDAC.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"15 ","pages":"Article 100672"},"PeriodicalIF":1.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711448","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":"The diagnostic value of dual-energy CTA for visualising below the knee arteries in peripheral arterial disease: A systematic review","authors":"Jade Baars ,&nbsp;Thijs Urlings ,&nbsp;Edwin van der Linden ,&nbsp;Ilia Panfilov ,&nbsp;Lodewijk Cobben ,&nbsp;Willem-Jan de Jong ,&nbsp;Joost van der Vorst ,&nbsp;Jaap Hamming ,&nbsp;Ayoub Charehbili","doi":"10.1016/j.ejro.2025.100704","DOIUrl":"10.1016/j.ejro.2025.100704","url":null,"abstract":"<div><h3>Background</h3><div>Computed tomography angiography (CTA) of below the knee (BTK) arteries in patients with peripheral arterial disease (PAD) is often challenging due to reduced contrast enhancement and the presence of arterial wall calcifications. Several studies have been published using dual energy (DE) techniques to improve image quality and diagnostic performance of CTA. This systematic review aims to assess diagnostic performance of dual energy CTA (DECTA) in BTK arteries of patients with PAD.</div></div><div><h3>Methods</h3><div>A systematic literature search was conducted to identify studies reporting on DECTA of BTK arteries. Studies were included if they assessed imaging quality using qualitative or objective parameters, or provided data on diagnostic accuracy. The search was performed in Pubmed, Embase and Cochrane Library.</div></div><div><h3>Results</h3><div>The initial search yielded original 440 articles. 15 studies were included in the final analysis, with 10 studies using bone removal software and 5 studies using virtual monochromatic imaging (VMI+). Pooled sensitivity and specificity for bone removal software for detecting significant stenosis below the knee was 94.8 % (95 % CI 88.1–97.8 %) and 59.3 % (95 % CI 43.3–73.6 %), respectively. All studies on VMI+ reported an increase in signal-to-noise ratio and contrast-to-noise ratio as the energy level decreased. Low energy VMI+ images had consistently higher qualitative imaging scores compared to both high energy and 120 kV blended reconstructions.</div></div><div><h3>Conclusion</h3><div>DECTA provides high sensitivity and moderate specificity for detecting significant stenosis below the knee using bone removal software. Based on available literature, optimal imaging of BTK arteries can be achieved by using low energy VMI+ reconstructions.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"15 ","pages":"Article 100704"},"PeriodicalIF":2.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145464876","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":"The impact of pulmonary artery invasion on bronchial artery embolization in treating hemoptysis in lung cancer","authors":"Yang Zi,&nbsp;Baoqi Shi","doi":"10.1016/j.ejro.2025.100705","DOIUrl":"10.1016/j.ejro.2025.100705","url":null,"abstract":"<div><div>This study investigates the effect of pulmonary artery invasion on bronchial artery embolization (BAE) for the treatment of hemoptysis caused by lung cancer. A single-center retrospective analysis was conducted on the clinical data of 58 lung cancer patients who underwent BAE treatment for hemoptysis between July 2019 and July 2023. Based on preoperative CT angiography results, patients were divided into two groups: the pulmonary artery invasion group (n = 40) and the non-pulmonary artery invasion group (n = 18). The clinical characteristics, technical success rate, clinical success rate, complication rate, hemoptysis recurrence rate, and other factors were compared between the two groups. The prognostic factors for hemoptysis-free survival were analyzed using the Cox proportional hazards model. The results showed that, compared with the non-pulmonary artery invasion group, there was no significant difference in age (65.6 ± 8.2 vs. 67.2 ± 9.0, P = 0.52), gender (P = 0.67), Maximal tumor size (59.7 ± 26.0 vs. 51.6 ± 21.1, P = 0.25), the clinical success rate (85.0 % vs. 100.0 %, P = 0.16), the postoperative complication rate (15.0 % vs. 22.2 %) and so on between the two groups. However, the recurrence rate of hemoptysis one month after BAE was significantly higher in the pulmonary artery invasion group (60.0 % vs. 11.1 %, P &lt; 0.01). The median hemoptysis-free survival time in the pulmonary artery invasion group was 28.5 days (IQR 54.3 days), which was significantly lower than 420.0 days (IQR 637.5 days) in the non-pulmonary artery invasion group (P &lt; 0.01). Multivariate analysis showed that pulmonary artery invasion was an independent risk factor for hemoptysis recurrence after BAE (OR=18.46, 95 % CI: 6.37–53.49, P &lt; 0.01). The study concluded that pulmonary artery invasion has a significant impact on hemoptysis recurrence after BAE in lung cancer.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"15 ","pages":"Article 100705"},"PeriodicalIF":2.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519282","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":"Exercise-related changes in knee articular structures detected using magnetic resonance imaging T1ρ and T2 mapping","authors":"Keita Nagawa ,&nbsp;Hirokazu Shimizu ,&nbsp;Saki Tsuchihashi ,&nbsp;Kaiji Inoue ,&nbsp;Shinji Kakemoto ,&nbsp;Taira Shiratori ,&nbsp;Akane Kaizu ,&nbsp;Masahiro Koyama ,&nbsp;Yuya Yamamoto ,&nbsp;Masami Yoneyama ,&nbsp;Naoki Sugita ,&nbsp;Eito Kozawa","doi":"10.1016/j.ejro.2025.100693","DOIUrl":"10.1016/j.ejro.2025.100693","url":null,"abstract":"<div><h3>Purpose</h3><div>To evaluate the changes in various knee joint structures before and after physical activities using magnetic resonance imaging (MRI) T1ρ and T2 mapping.</div></div><div><h3>Methods</h3><div>MRI of the right knee was performed for 12 healthy volunteers before and after jumping rope, flexion and extension, and at rest. Different parts of articular cartilage, anterior and posterior cruciate ligaments, medial and lateral meniscus, gastrocnemius muscle and Hoffa’s fat pad were quantitatively assessed based on T1ρ and T2 values. A paired t-test was performed to determine whether the effects of various activities on different parts of the knee articular structures were statistically different.</div></div><div><h3>Results</h3><div>The T1ρ values for the lateral meniscus decreased, while both T1ρ and T2 values for the gastrocnemius muscle increased after jumping rope. No statistically significant differences were observed in the other parts of the meniscus, cruciate ligaments, and Hoffa’s fat pad. The T1ρ and T2 values for the weight-bearing cartilages of the femur and tibia were both reduced after jumping rope. However, no statistically significant differences were observed in the cartilage after flexion and extension or at rest.</div></div><div><h3>Conclusions</h3><div>MRI T1ρ and T2 mapping can be used to evaluate the changes in various joint structures before and after physical activities. These changes in knee tissue were hypothesized to reflect variations in tissue fluid, collagen fibers, and proteoglycan content. Further studies are required to investigate the influence of exercise on articular structures using MRI mapping techniques.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"15 ","pages":"Article 100693"},"PeriodicalIF":2.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218998","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}