Author

Zhiwei Zhang

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Open access Oct 2026

Deep Learning-Based Versus Threshold-Based Bone Removal for CT Angiography of Head and Neck Arteriovenous Fistulas: A Retrospective Comparison of Image Quality, Key-Structure Display, and Post-Processing Time

Background/Objectives: Bone overlap at the skull base limits CT angiography (CTA) in head and neck arteriovenous fistulas (hAVFs), and threshold-based bone removal fails where bone and contrast attenuation overlap. Whether deep learning-based removal improves the display of the structures that determine endovascular pl...

Yi-Ting Wang, Li Tao, Wen Li et al. · Diagnostics · 0 citations

Open access Sep 2026

Evaluation of a personalized total iodine dose (TID) combined with fixed injection duration (FID) protocol using high-concentration (400 mgI/mL) iodinated contrast medium in CT portal venography: a randomized trial

Background The portal vasculature is closely associated with clinical outcomes in liver disease. Contrast-enhanced computed tomography (CT) serves as the first-line noninvasive tool for its evaluation. The contrast administration strategy critically influences CT image quality and diagnostic performance. This study aim...

Fang-Lu Zhou, Zhi-Wei Zhang, Hong-Wei Liang et al. · Quantitative Imaging in Medi... · 0 citations

Open access Sep 2026

Image-Domain GAN Denoising for Sn100 kVp Ultra-Low-Dose Chest CT: A Retrospective Paired Image-Quality Study

Background: Ultra-low-dose (ULD) chest CT can reduce radiation exposure but may compromise image quality. We evaluated image-domain generative adversarial network (GAN)-based denoising at low-dose (LD) and ULD levels, focusing on ULD-AiR versus LD-ADMIRE S3. Methods: In this single-center retrospective paired study, 26...

Kai-Qing Yao, Liang Lv, Xue Jiang et al. · Diagnostics · 0 citations

Open access Aug 2026

Beyond Bone Density Alone: Opportunistic Identification of Vertebral Compression Fractures in Breast Cancer Survivors Using Artificial Intelligence-Derived Vertebral Bone Density and Paraspinal Muscle–Fat Metrics

Background/Objectives: This study aimed to evaluate whether artificial intelligence-derived vertebral volumetric bone mineral density (AI-vBMD) and paraspinal intermuscular adipose tissue (IMAT) ratio from routine computed tomography (CT) could identify moderate-to-severe vertebral compression fractures (VCFs) in breas...

Chen Wan, Lingquan Kong, Jie Hao et al. · Journal of Clinical Medicine · 0 citations