BMC Medical Imaging最新文献

{"title":"Efficacy of PSMA PET/CT radiomics analysis for risk stratification in newly diagnosed prostate cancer: a multicenter study.","authors":"Esmail Jafari, Amin Zarei, Habibollah Dadgar, Ahmad Keshavarz, Hamid Abdollahi, Rezvan Samimi, Reyhaneh Manafi-Farid, GhasemAli Divband, Babak Nikkholgh, Babak Fallahi, HamidReza Amini, Hojjat Ahmadzadehfar, Arman Rahmim, Farshad Zohrabi, Majid Assadi","doi":"10.1186/s12880-025-01914-8","DOIUrl":"10.1186/s12880-025-01914-8","url":null,"abstract":"","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"375"},"PeriodicalIF":3.2,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465446/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145173496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Value of multimodal ultrasound in the assessment of snakebite.","authors":"Shipei Xu, Yao Liu, Liwen Zhu, Yingchun Hu, Jiqing Xuan","doi":"10.1186/s12880-025-01908-6","DOIUrl":"10.1186/s12880-025-01908-6","url":null,"abstract":"<p><strong>Background: </strong>This study aimed to analyze the ultrasound features of snakebite-affected limbs and explore the diagnostic utility of multimodal ultrasound.</p><p><strong>Methods: </strong>An analysis was conducted on 70 patients with snakebites admitted to The Affiliated Hospital of Southwest Medical University from July 2023 to October 2023. Two-dimensional ultrasound was used to observe subcutaneous tissue edema, color Doppler flow imaging to observe hemodynamic changes, and shear-wave elastography to measure subcutaneous tissue elasticity. Patient demographics and multimodal ultrasound findings were recorded, comparing affected versus unaffected limbs.</p><p><strong>Results: </strong>In all patients, the thickness of the subcutaneous fat layer, ultrasound grayscale median value, elasticity, and limb circumferences were significantly higher on the affected side than those on the unaffected side (P < 0.05). Continuous testing was conducted on 39 patients hospitalized for ≥ 3 days, and a gradual decrease in the thickness and elasticity of the subcutaneous fat layer was observed with treatment progression.</p><p><strong>Conclusion: </strong>Multimodal ultrasound can assess limb edema and provides useful indicators for assessing the risk of compartment syndrome. This provides clinicians with a decision-making reference for treatment after snakebite.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"376"},"PeriodicalIF":3.2,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465720/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145173503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sonoelastographic evaluation of diaphragmatic thickness and stiffness in dialysis patients.","authors":"Nurullah Dag, Haci Bayram Berktas, Aysun Gunduz Uslu, Veysel Burulday","doi":"10.1186/s12880-025-01932-6","DOIUrl":"10.1186/s12880-025-01932-6","url":null,"abstract":"","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"380"},"PeriodicalIF":3.2,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465852/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145173509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic contrast-enhanced magnetic resonance imaging-based radiomics for predicting programmed death ligand 1 expression in nasopharyngeal carcinoma.","authors":"Wen-Zhu Li, Jia-Li Song, Gang Wu, Meng-Ying Dong, Yu-Ting Liao, Zhi-Jie Huang, Feng Chen, Wei-Yuan Huang","doi":"10.1186/s12880-025-01917-5","DOIUrl":"10.1186/s12880-025-01917-5","url":null,"abstract":"","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"377"},"PeriodicalIF":3.2,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465251/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145173534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Magnetic resonance imaging follow-up after anterior cruciate ligament reconstruction.","authors":"Hui Luo, Minzhi Zhong, Kun Feng, Zhuoran Li, Min Wang, Yuemin Weng, Zhiping Liang","doi":"10.1186/s12880-025-01904-w","DOIUrl":"10.1186/s12880-025-01904-w","url":null,"abstract":"<p><strong>Objective: </strong>This study endeavors to systematically investigate factors influencing knee joint stability following anterior cruciate ligament reconstruction (ACLR) using magnetic resonance imaging (MRI), with the goal of providing quantitative imaging evidence for determining clinical rehabilitation timelines and objectively evaluating treatment efficacy.</p><p><strong>Method: </strong>A total of 31 patients undergoing ACLR were retrospectively evaluated with MRI scans at 1, 4, and 12 months postoperatively. Parameters included graft length, tibial anteroposterior displacement, tunnel position, and angulation metrics JGS, JGC, angle α, angle β, angle θ)).Clinical outcomes were assessed using the Lysholm score. Longitudinal differences in stability parameters were analyzed by repeated-measures ANOVA (p < 0.05), with ROC curves evaluating diagnostic sensitivity.</p><p><strong>Result: </strong>Among 31 patients, 28 achieved satisfactory graft healing, while three required revision reconstruction. At 4 months postoperatively, significant reductions in joint effusion volume and soft tissue swelling were observed. Knee joint stability at 12 months was significantly superior to values at both 1- and 4-month intervals (p < 0.05). Tibial range of motion and β-angle were significantly associated with joint stability, with AUC values of 0.64 and 0.62, respectively.</p><p><strong>Conclusion: </strong>Multiparametric MRI objectively evaluates post-ACLR intra-articular healing and joint stability, delivering critical imaging evidence to guide evidence-based rehabilitation planning.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"371"},"PeriodicalIF":3.2,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465169/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145147553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reduction of metallic artifacts from the novel leadless pacemaker using single-energy metal artifact reduction algorithm in coronary CT angiography.","authors":"Yahui Hu, Ying Chen, Jianjun Huo, Linxin Zhang, Yan Li, Qian Liu, Yaohui Yu, Haicheng Qi, Zicheng Zhao, Jiaojiao Zhang, Min Xu, Yan Xing","doi":"10.1186/s12880-025-01856-1","DOIUrl":"10.1186/s12880-025-01856-1","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the efficacy of single-energy metal artifact reduction (SEMAR) algorithm in removing metallic artifacts for patients with novel leadless pacemakers (PMs) compared to those with conventional transvenous PMs.</p><p><strong>Methods: </strong>30 patients with transvenous PMs and 30 patients with leadless PMs having coronary CT angiography (CCTA) were included. Images were reconstructed using two methods: a conventional hybrid-iterative reconstruction (HIR) algorithm separately, and the HIR combined with SEMAR algorithm. The artifact index (AI) was calculated for both datasets to quantitatively assess the artifact reduction. Two senior radiologists independently scored the artifact extent and diagnostic confidence of surrounding tissues. The position of artifacts-impaired tissues was also visually evaluated as follows: non-impaired, impaired, and equivocal. The study was ethics committee-approved.</p><p><strong>Results: </strong>The leadless PM_SEMAR exhibited significantly lower AIs than the leadless PM_non-SEMAR, with an improvement of hypodense artifacts and a significant reduction of hyperdense artifacts (all p < 0.001). The AIs of leadless PMs performed with and without SEMAR were slightly lower than those of transvenous PMs, although no statistical difference existed (all p > 0.05). Qualitatively, the artifact extent of SEMAR significantly outperformed non-SEMAR in both types of PM (p < 0.001). The aorta, right coronary artery, right atrium, and left ventricle were less impaired in leadless PM_non-SEMAR compared to transvenous PM_non-SEMAR (all p < 0.05).</p><p><strong>Conclusions: </strong>SEMAR provides effective reduction of metallic artifacts from both types of cardiac PMs. The artifact-impaired tissues are fewer on leadless PMs, resulting in an enhanced diagnostic confidence in the surrounding tissues.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"370"},"PeriodicalIF":3.2,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12462349/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145136270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized deep learning-accelerated single-breath-hold abdominal HASTE with and without fat saturation improves and accelerates abdominal imaging at 3 Tesla.","authors":"Qinxuan Tan, Felix Kubicka, Dominik Nickel, Elisabeth Weiland, Bernd Hamm, Dominik Geisel, Moritz Wagner, Thula C Walter-Rittel","doi":"10.1186/s12880-025-01838-3","DOIUrl":"10.1186/s12880-025-01838-3","url":null,"abstract":"<p><strong>Background: </strong>Deep learning-accelerated single-shot turbo-spin-echo techniques (DL-HASTE) enable single-breath-hold T2-weighted abdominal imaging. However, studies evaluating the image quality of DL-HASTE with and without fat saturation (FS) remain limited. This study aimed to prospectively evaluate the technical feasibility and image quality of abdominal DL-HASTE with and without FS at 3 Tesla.</p><p><strong>Materials and methods: </strong>DL-HASTE of the upper abdomen was acquired with variable sequence parameters regarding FS, flip angle (FA) and field of view (FOV) in 10 healthy volunteers and 50 patients. DL-HASTE sequences were compared to clinical sequences (HASTE, HASTE-FS and T2-TSE-FS BLADE). Two radiologists independently assessed the sequences regarding scores of overall image quality, delineation of abdominal organs, artifacts and fat saturation using a Likert scale (range: 1-5).</p><p><strong>Results: </strong>Breath-hold time of DL-HASTE and DL-HASTE-FS was 21 ± 2 s with fixed FA and 20 ± 2 s with variable FA (p < 0.001), with no overall image quality difference (p > 0.05). DL-HASTE required a 10% larger FOV than DL-HASTE-FS to avoid aliasing artifacts from subcutaneous fat. Both DL-HASTE and DL-HASTE-FS had significantly higher overall image quality scores than standard HASTE acquisitions (DL-HASTE vs. HASTE: 4.8 ± 0.40 vs. 4.1 ± 0.50; DL-HASTE-FS vs. HASTE-FS: 4.6 ± 0.50 vs. 3.6 ± 0.60; p < 0.001). Compared to the T2-TSE-FS BLADE, DL-HASTE-FS provided higher overall image quality (4.6 ± 0.50 vs. 4.3 ± 0.63, p = 0.011). DL-HASTE achieved significant higher image quality (p = 0.006) and higher sharpness score of organs compared to DL-HASTE-FS (p < 0.001).</p><p><strong>Conclusion: </strong>Deep learning-accelerated HASTE with and without fat saturation were both feasible at 3 Tesla and showed improved image quality compared to conventional sequences.</p><p><strong>Trial registration: </strong>Not applicable.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"369"},"PeriodicalIF":3.2,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12447598/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145084895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inter-reader agreement of quantitative FDG PET/CT biomarkers in lymphoma: a multicentre evaluation of MTV, TLG and Dmax.","authors":"Elin Trägårdh, Malin Lewold, Jesus Lopez Urdaneta, Måns Larsson, Olof Enqvist, Sally F Barrington, Mats Jerkeman, Lars Edenbrandt, May Sadik","doi":"10.1186/s12880-025-01937-1","DOIUrl":"10.1186/s12880-025-01937-1","url":null,"abstract":"","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"368"},"PeriodicalIF":3.2,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12442285/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145079728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dual-energy computed tomography collagen density mapping of the temporomandibular disc.","authors":"Sevtap Tugce Ulas, Thomas Matthias Wittig, Virginie Kreutzinger, Friedemann Göhler, Erin C Argentieri, Torsten Diekhoff, Katharina Ziegeler","doi":"10.1186/s12880-025-01935-3","DOIUrl":"10.1186/s12880-025-01935-3","url":null,"abstract":"","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"367"},"PeriodicalIF":3.2,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12439412/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145069067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated quantification of abdominal aortic calcification using 3D nnU-Net: a novel approach to assess AAA rupture risk.","authors":"Yuan-Lin Luo, Yi-Fan Liu, Zhi Huang, Chu Wang, Ling-Yue Zhang, Shui-Chuan Huang","doi":"10.1186/s12880-025-01911-x","DOIUrl":"10.1186/s12880-025-01911-x","url":null,"abstract":"<p><strong>Background: </strong>Abdominal aortic aneurysms (AAA) pose a serious rupture risk, heightened by aortic calcification. Traditional calcification scoring methods are slow and require expertise. This study aims to construct a convolutional neural network (nnU-Net) model for automatic quantification and segmentation of abdominal aortic calcification from a single CTA scan.</p><p><strong>Methods: </strong>This retrospective study included 100 patients who underwent abdominal aortic CTA between January 2018 and October 2023, meeting specific inclusion criteria. Vessel and calcification segmentation were manually scored by two physicians, and an nnU-Net deep learning model was developed to automate calcification measurement. Model performance was assessed using Dice scores. Agreement between manual and model-based scoring was assessed using Spearman rank correlation and Bland-Altman analysis.</p><p><strong>Results: </strong>The nnU-Net model achieved median Dice scores of 93.60% for blood vessels and 81.06% for calcification. Average Dice scores were 92.37 ± 4.87% for blood vessel segmentation and 81.03 ± 5.11% for calcified plaque. The model's Agatston scores correlated closely with manual scores (Spearman's ρ = 0.969), with a mean difference of -229.51 (95% limits of agreement: -6003.92 to 5544.90). The model's evaluation time was also shorter than manual scoring (112 ± 4.4 s vs. 3796 ± 6.6 s, p < 0.001).</p><p><strong>Conclusion: </strong>The nnU-Net-based model shows potential as an automated tool for accurately segmenting and quantifying abdominal aortic calcification, offering comparable results to manual scoring with significantly reduced evaluation time. This approach may assist in more efficient assessment of AAA rupture risk, supporting clinical decision-making in patient management.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"366"},"PeriodicalIF":3.2,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12403428/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144941963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}