Objectives: Atherosclerosis is influenced by hemodynamic forces and arterial stiffness. Vector flow imaging (VFI) provides assessment of wall shear stress (WSS) and turbulence, while radiofrequency-based quantitative analysis (RVQS) measures hardness coefficient (HC) and pulse wave velocity (PWV). To date, these techniques have not been applied together in a well-characterised healthy cohort. This study aimed to evaluate segmental age and sex-related differences in the carotid artery using VFI and RVQS.
Methods: Sixty healthy volunteers (30 women, 30 men; aged 20-59 years) underwent carotid ultrasonography. The common carotid artery (CCA), the bifurcation (BIF), and the internal carotid artery (ICA) segments were examined. WSS, turbulence, HC, PWV, and distension parameters were measured in each segment. Non-parametric tests were used.
Results: Significant segmental variation was found (p < 0.001). The BIF showed the lowest mean WSS (median = 0.84 Pa, < 0.001), the highest turbulence 3.87 (< 0.001), and the highest stiffness (HC: 3.22 < 0.001, PWV: 6.04, < 0.001). ICA had greatest distension (866 μm, < 0.001) and lowest stiffness (HC = 1.25, < 0.001, PWV: 3,83 < 0.001). Older participants had markedly stiffer arteries. PWV was higher in the older vs. younger group at both CCA (6.1 m/s vs. 4.6 m/s, p < 0.001) and BIF (7.2 vs. 4.96 m/s, p < 0.001). HC was also significantly higher in CCA and BIF (3.3 vs. 1.8, p < 0.001, 1.3 vs. 2.3, p < 0.001). Distension decreased with age in CCA and BIF (CCA: 364 vs. 560 μm, p < 0.001, BIF: 547 vs. 355 μm, p < 0.001). In contrast, WSS and turbulence did not differ significantly by age. Women exhibited higher mean WSS in the ICA (1.3 vs. 1.1 Pa, p = 0.018) and BIF (0.94 vs. 0.74 Pa, p = 0.045). Men showed slightly higher turbulence in the ICA (TAT = 1.1 vs. 0.5, p = 0.020).
Conclusion: The study revealed marked segmental and demographic differences in atherosclerosis parameters. RVQS parameters showed significant age-related differences, whereas WSS did not vary with age in this healthy group (20-59 years), suggesting RVQS may be more sensitive for detecting subclinical early vascular change. The combined application of VFI and RVQS may provide a physiologic reference framework for assessing the carotid arteries.
{"title":"How do age, sex, and carotid segment influence carotid ultrasonography based on vector flow imaging and radiofrequency analysis in healthy subjects?","authors":"Atiye Cenay Karabörk Kılıç, Nezih Yaylı, Burak Kalafat, Halit Nahit Şendur, Mahi Nur Cerit, Cansu Özbaş, Sevcihan Kesen Özbek, Taylan Altıparmak, Suna Özhan Oktar","doi":"10.1186/s12880-025-02067-4","DOIUrl":"10.1186/s12880-025-02067-4","url":null,"abstract":"<p><strong>Objectives: </strong>Atherosclerosis is influenced by hemodynamic forces and arterial stiffness. Vector flow imaging (VFI) provides assessment of wall shear stress (WSS) and turbulence, while radiofrequency-based quantitative analysis (RVQS) measures hardness coefficient (HC) and pulse wave velocity (PWV). To date, these techniques have not been applied together in a well-characterised healthy cohort. This study aimed to evaluate segmental age and sex-related differences in the carotid artery using VFI and RVQS.</p><p><strong>Methods: </strong>Sixty healthy volunteers (30 women, 30 men; aged 20-59 years) underwent carotid ultrasonography. The common carotid artery (CCA), the bifurcation (BIF), and the internal carotid artery (ICA) segments were examined. WSS, turbulence, HC, PWV, and distension parameters were measured in each segment. Non-parametric tests were used.</p><p><strong>Results: </strong>Significant segmental variation was found (p < 0.001). The BIF showed the lowest mean WSS (median = 0.84 Pa, < 0.001), the highest turbulence 3.87 (< 0.001), and the highest stiffness (HC: 3.22 < 0.001, PWV: 6.04, < 0.001). ICA had greatest distension (866 μm, < 0.001) and lowest stiffness (HC = 1.25, < 0.001, PWV: 3,83 < 0.001). Older participants had markedly stiffer arteries. PWV was higher in the older vs. younger group at both CCA (6.1 m/s vs. 4.6 m/s, p < 0.001) and BIF (7.2 vs. 4.96 m/s, p < 0.001). HC was also significantly higher in CCA and BIF (3.3 vs. 1.8, p < 0.001, 1.3 vs. 2.3, p < 0.001). Distension decreased with age in CCA and BIF (CCA: 364 vs. 560 μm, p < 0.001, BIF: 547 vs. 355 μm, p < 0.001). In contrast, WSS and turbulence did not differ significantly by age. Women exhibited higher mean WSS in the ICA (1.3 vs. 1.1 Pa, p = 0.018) and BIF (0.94 vs. 0.74 Pa, p = 0.045). Men showed slightly higher turbulence in the ICA (TAT = 1.1 vs. 0.5, p = 0.020).</p><p><strong>Conclusion: </strong>The study revealed marked segmental and demographic differences in atherosclerosis parameters. RVQS parameters showed significant age-related differences, whereas WSS did not vary with age in this healthy group (20-59 years), suggesting RVQS may be more sensitive for detecting subclinical early vascular change. The combined application of VFI and RVQS may provide a physiologic reference framework for assessing the carotid arteries.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"26 1","pages":"1"},"PeriodicalIF":3.2,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12763856/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145896242","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}
Pub Date : 2026-01-03DOI: 10.1186/s12880-025-02140-y
Yu Han, Jin Zhang, Yi-Bin Xi, Si-Jie Xiu, Yang Yang, Yu-Yao Wang
{"title":"IDH mutation prediction in non-enhancing gliomas with relaxed T2-FLAIR mismatch and fractal dimension: a two-center study.","authors":"Yu Han, Jin Zhang, Yi-Bin Xi, Si-Jie Xiu, Yang Yang, Yu-Yao Wang","doi":"10.1186/s12880-025-02140-y","DOIUrl":"10.1186/s12880-025-02140-y","url":null,"abstract":"","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":" ","pages":"61"},"PeriodicalIF":3.2,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12866136/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145896266","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}
Pub Date : 2026-01-03DOI: 10.1186/s12880-025-02131-z
Wei Wei, Qianqian Chen, Nan Meng, Xinyu Wang, Yue Liu, Jingwen Zhang, Yaping Wu, Jiayin Pan, Zhun Huang, Yang Yang, Zhe Wang, Qiuyu Liu, Fangfang Fu, Meiyun Wang
{"title":"Prediction of lymph node metastasis in non-small cell lung cancer and its correlation with Ki-67 expression: a comparative study between intravoxel incoherent motion imaging and <sup>18</sup>F-FDG PET.","authors":"Wei Wei, Qianqian Chen, Nan Meng, Xinyu Wang, Yue Liu, Jingwen Zhang, Yaping Wu, Jiayin Pan, Zhun Huang, Yang Yang, Zhe Wang, Qiuyu Liu, Fangfang Fu, Meiyun Wang","doi":"10.1186/s12880-025-02131-z","DOIUrl":"10.1186/s12880-025-02131-z","url":null,"abstract":"","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":" ","pages":"64"},"PeriodicalIF":3.2,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12866322/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145896246","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}
Pub Date : 2026-01-03DOI: 10.1186/s12880-025-02141-x
Milad Taleb, Sanaz Alibabaei
{"title":"Hybrid 2D/3D CNN and radiomics model for brain tumor classification using EfficientNetb0 and ResNet-18.","authors":"Milad Taleb, Sanaz Alibabaei","doi":"10.1186/s12880-025-02141-x","DOIUrl":"10.1186/s12880-025-02141-x","url":null,"abstract":"","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":" ","pages":"62"},"PeriodicalIF":3.2,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12866514/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145896235","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}
Pub Date : 2026-01-02DOI: 10.1186/s12880-025-02128-8
Litong He, Zhiqiang Liu, Lingqiao Yang, Yanjin Qin, Zhendong Luo, Yunfei Zhang, Xiaopeng Song, Wei Mao, Dan Wu, Tao Ai
{"title":"Integrating time-dependent diffusion MRI and intravoxel incoherent motion for predicting NPI and molecular subtypes in breast cancer.","authors":"Litong He, Zhiqiang Liu, Lingqiao Yang, Yanjin Qin, Zhendong Luo, Yunfei Zhang, Xiaopeng Song, Wei Mao, Dan Wu, Tao Ai","doi":"10.1186/s12880-025-02128-8","DOIUrl":"10.1186/s12880-025-02128-8","url":null,"abstract":"","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":" ","pages":"63"},"PeriodicalIF":3.2,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12866526/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145896285","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}
Pub Date : 2026-01-02DOI: 10.1186/s12880-025-02138-6
Patrick Ghibes, Reza Dehdab, Jan Michael Brendel, Saif Afat, Arne Estler, Christoph Artzner, Konstantin Nikolaou, Andreas Brendlin
{"title":"AI-based denoising improves image quality in HCC volume perfusion CT without affecting Milan classification.","authors":"Patrick Ghibes, Reza Dehdab, Jan Michael Brendel, Saif Afat, Arne Estler, Christoph Artzner, Konstantin Nikolaou, Andreas Brendlin","doi":"10.1186/s12880-025-02138-6","DOIUrl":"10.1186/s12880-025-02138-6","url":null,"abstract":"","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":" ","pages":"53"},"PeriodicalIF":3.2,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12849736/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145896250","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}
Background: Diabetic peripheral neuropathy (DPN) is a prevalent complication of diabetes mellitus, and is often underdiagnosed because of its variable clinical presentation and operator-dependent diagnostic tools. Shear wave elastography (SWE), which quantitatively evaluates tissue stiffness, has the potential to enhance conventional ultrasound by improving diagnostic accuracy and consistency. Nevertheless, a comprehensive analysis examining the extent to which the integration of SWE with conventional ultrasound can enhance the diagnostic performance of radiologists across varying levels of expertise has yet to be performed.
Methods: In this study, a total of 458 lower extremities from patients with type 2 diabetes were examined via ultrasound and SWE. Four radiologists (two seniors and two juniors) independently assessed the grayscale ultrasound, SWE, and combined images. Diagnostic performance was compared via receiver operating characteristic (ROC) curves and sensitivity and specificity metrics.
Results: SWE measurements revealed significantly greater stiffness of the tibial nerve in the DPN group than in the non-DPN group, with values of 37.30 kPa versus 25.40 kPa (P < 0.001) and corresponding shear wave velocities of 3.54 m/s versus 2.90 m/s (P < 0.001). The combined images improved diagnostic accuracy across all readers. Notably, junior radiologists exhibited a substantial improvement in terms of sensitivity (ΔSensitivity = 25.565, 95% CI: 18.477-32.653, P = 0.004). In contrast, for the senior radiologists, neither the sensitivity nor the specificity significantly increased with increasing integration SWE.
Conclusion: Combining SWE with conventional ultrasound improves the diagnostic accuracy for DPN and helps reduce performance gaps between junior and senior radiologists. SWE may serve as an effective adjunct to support early detection and consistent evaluation of DPN in clinical practice.
{"title":"Diagnostic value of shear wave elastography for diabetic peripheral neuropathy: comparison between junior radiologists and senior radiologists.","authors":"Rong-Li Peng, Yan-Feng Jiang, Hua-Liang Shen, Di-Jia Ni, Ying Zhou, Xia-Tian Liu, Zhen-Zhen Jiang","doi":"10.1186/s12880-025-02061-w","DOIUrl":"10.1186/s12880-025-02061-w","url":null,"abstract":"<p><strong>Background: </strong>Diabetic peripheral neuropathy (DPN) is a prevalent complication of diabetes mellitus, and is often underdiagnosed because of its variable clinical presentation and operator-dependent diagnostic tools. Shear wave elastography (SWE), which quantitatively evaluates tissue stiffness, has the potential to enhance conventional ultrasound by improving diagnostic accuracy and consistency. Nevertheless, a comprehensive analysis examining the extent to which the integration of SWE with conventional ultrasound can enhance the diagnostic performance of radiologists across varying levels of expertise has yet to be performed.</p><p><strong>Methods: </strong>In this study, a total of 458 lower extremities from patients with type 2 diabetes were examined via ultrasound and SWE. Four radiologists (two seniors and two juniors) independently assessed the grayscale ultrasound, SWE, and combined images. Diagnostic performance was compared via receiver operating characteristic (ROC) curves and sensitivity and specificity metrics.</p><p><strong>Results: </strong>SWE measurements revealed significantly greater stiffness of the tibial nerve in the DPN group than in the non-DPN group, with values of 37.30 kPa versus 25.40 kPa (P < 0.001) and corresponding shear wave velocities of 3.54 m/s versus 2.90 m/s (P < 0.001). The combined images improved diagnostic accuracy across all readers. Notably, junior radiologists exhibited a substantial improvement in terms of sensitivity (ΔSensitivity = 25.565, 95% CI: 18.477-32.653, P = 0.004). In contrast, for the senior radiologists, neither the sensitivity nor the specificity significantly increased with increasing integration SWE.</p><p><strong>Conclusion: </strong>Combining SWE with conventional ultrasound improves the diagnostic accuracy for DPN and helps reduce performance gaps between junior and senior radiologists. SWE may serve as an effective adjunct to support early detection and consistent evaluation of DPN in clinical practice.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"512"},"PeriodicalIF":3.2,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12751637/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145854312","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}