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Buccal or palatal? AI-based localization of impacted maxillary canines using panoramic radiographs. 颊部还是腭部?基于全景x线片的上颌埋伏牙的人工智能定位。
IF 3.2 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-05 DOI: 10.1186/s12880-025-02143-9
Emine Nur Kahraman, İpek Necla Güldiken, Alperen Tekin, Tunahan Kanbak, Hilal Yılancı
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引用次数: 0
How do age, sex, and carotid segment influence carotid ultrasonography based on vector flow imaging and radiofrequency analysis in healthy subjects? 年龄、性别和颈动脉段如何影响健康受试者颈动脉超声矢量流成像和射频分析?
IF 3.2 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-03 DOI: 10.1186/s12880-025-02067-4
Atiye Cenay Karabörk Kılıç, Nezih Yaylı, Burak Kalafat, Halit Nahit Şendur, Mahi Nur Cerit, Cansu Özbaş, Sevcihan Kesen Özbek, Taylan Altıparmak, Suna Özhan Oktar

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.

目的:动脉粥样硬化受血流动力学力和动脉硬度的影响。矢量流成像(VFI)可以评估壁面剪切应力(WSS)和湍流,而基于射频的定量分析(RVQS)可以测量硬度系数(HC)和脉冲波速(PWV)。迄今为止,这些技术尚未在特征明确的健康队列中同时应用。本研究旨在利用VFI和RVQS评估颈动脉年龄和性别相关的节段差异。方法:60名健康志愿者(女性30名,男性30名,年龄20-59岁)行颈动脉超声检查。检查颈总动脉(CCA)、分岔动脉(BIF)和颈内动脉(ICA)段。测量每个节段的WSS、湍流度、HC、PWV和膨胀参数。采用非参数检验。结论:研究显示动脉粥样硬化参数有明显的节段差异和人口统计学差异。RVQS参数显示出明显的年龄相关差异,而WSS在健康组(20-59岁)中没有随年龄变化,提示RVQS可能对检测亚临床早期血管变化更敏感。VFI和RVQS联合应用可为颈动脉评估提供一个生理学参考框架。
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引用次数: 0
IDH mutation prediction in non-enhancing gliomas with relaxed T2-FLAIR mismatch and fractal dimension: a two-center study. 具有松弛T2-FLAIR失配和分形维数的非增强胶质瘤IDH突变预测:一项双中心研究。
IF 3.2 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-03 DOI: 10.1186/s12880-025-02140-y
Yu Han, Jin Zhang, Yi-Bin Xi, Si-Jie Xiu, Yang Yang, Yu-Yao Wang
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引用次数: 0
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 18F-FDG PET. 非小细胞肺癌淋巴结转移的预测及其与Ki-67表达的相关性:体素内非相干运动显像与18F-FDG PET的比较研究
IF 3.2 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-03 DOI: 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
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引用次数: 0
ART workflow based on CBCT and end-to-end clinical dynamic phantom validation. 基于CBCT和端到端临床动态幻像验证的ART工作流。
IF 3.2 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-03 DOI: 10.1186/s12880-025-02142-w
Zhenkai Li, Lingke Kong, Xiaoyuan Zhang, Peijun Yin, Chentong Ma, Yong Yin, Zhenjiang Li
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引用次数: 0
Hybrid 2D/3D CNN and radiomics model for brain tumor classification using EfficientNetb0 and ResNet-18. 使用EfficientNetb0和ResNet-18的混合2D/3D CNN和放射组学模型进行脑肿瘤分类。
IF 3.2 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-03 DOI: 10.1186/s12880-025-02141-x
Milad Taleb, Sanaz Alibabaei
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引用次数: 0
Dynamic network dysregulation in post-stroke aphasia: analysis of dALFF and dynamic functional connectivity. 脑卒中后失语症的动态网络失调:dALFF与动态功能连通性分析。
IF 3.2 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-03 DOI: 10.1186/s12880-025-02135-9
Li Wang, Xingang Wang, Fengjie He, Linqiong Sang, Najing Zhang, Qiannan Wang, Ye Zhang, Mingguo Qiu, Chen Liu, Rubin Yan
{"title":"Dynamic network dysregulation in post-stroke aphasia: analysis of dALFF and dynamic functional connectivity.","authors":"Li Wang, Xingang Wang, Fengjie He, Linqiong Sang, Najing Zhang, Qiannan Wang, Ye Zhang, Mingguo Qiu, Chen Liu, Rubin Yan","doi":"10.1186/s12880-025-02135-9","DOIUrl":"10.1186/s12880-025-02135-9","url":null,"abstract":"","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":" ","pages":"65"},"PeriodicalIF":3.2,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12866412/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145896287","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}
引用次数: 0
Integrating time-dependent diffusion MRI and intravoxel incoherent motion for predicting NPI and molecular subtypes in breast cancer. 整合时间相关扩散MRI和体素内非相干运动预测乳腺癌NPI和分子亚型。
IF 3.2 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-02 DOI: 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
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引用次数: 0
AI-based denoising improves image quality in HCC volume perfusion CT without affecting Milan classification. 基于人工智能的去噪提高了HCC体积灌注CT图像质量,但不影响米兰分类。
IF 3.2 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-01-02 DOI: 10.1186/s12880-025-02138-6
Patrick Ghibes, Reza Dehdab, Jan Michael Brendel, Saif Afat, Arne Estler, Christoph Artzner, Konstantin Nikolaou, Andreas Brendlin
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引用次数: 0
Diagnostic value of shear wave elastography for diabetic peripheral neuropathy: comparison between junior radiologists and senior radiologists. 横波弹性成像对糖尿病周围神经病变的诊断价值:初级和高级放射科医师的比较。
IF 3.2 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-12-29 DOI: 10.1186/s12880-025-02061-w
Rong-Li Peng, Yan-Feng Jiang, Hua-Liang Shen, Di-Jia Ni, Ying Zhou, Xia-Tian Liu, Zhen-Zhen Jiang

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.

背景:糖尿病周围神经病变(DPN)是糖尿病的一种常见并发症,由于其多变的临床表现和依赖于手术者的诊断工具,常常被误诊。剪切波弹性成像(SWE)定量评估组织刚度,有可能通过提高诊断准确性和一致性来增强传统超声。然而,一项全面的分析检查了SWE与传统超声的结合在多大程度上可以提高放射科医生在不同专业水平上的诊断能力,这还有待进行。方法:对458例2型糖尿病患者的下肢进行超声和SWE检查。四名放射科医生(两名高年级和两名低年级)独立评估灰度超声、SWE和组合图像。通过受试者工作特征(ROC)曲线、敏感性和特异性指标对诊断效果进行比较。结果:SWE测量显示DPN组的胫神经僵硬度明显高于非DPN组,分别为37.30 kPa和25.40 kPa (P结论:SWE结合常规超声提高了DPN的诊断准确性,有助于减少初级和高级放射科医生之间的表现差距。在临床实践中,SWE可以作为支持DPN早期发现和一致评估的有效辅助手段。
{"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}
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BMC Medical Imaging
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