Publications by authors named "Jinzhao Jiang"

Article Synopsis
  • Scientists are trying to make it easier and faster to find tumors in the liver (HCC) using new technology.
  • They developed a method that uses computer programs (deep learning) and help from doctors to automatically outline the tumors on MRI scans.
  • Their test showed that their new method is better at finding tumors than a doctor with moderate experience.
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Purpose: To establish and validate an optimal predictive model based on multiparametric MRI for staging liver fibrosis (LF) in rabbits with magnetic resonance elastography (MRE), spin-lattice relaxation time in the rotating frame (T1ρ imaging), SWI, intravoxel incoherent motion (IVIM), and DCE-MRI.

Methods: The LF group included 120 rabbits induced by subcutaneous injections of carbon tetrachloride (CCl ); 30 normal rabbits served as the control group. Multiparametric MRI was performed, including MRE, T1ρ, SWI, IVIM, and DCE-MRI.

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Objective: To study the difference of the Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) parameters among the primary tumor, metastatic node and peripheral normal tissue of head and neck cancer.

Materials And Methods: Consecutive newly-diagnosed head and neck cancer patients with nodal metastasis between December 2010 and July 2013 were recruited, and 25 patients (8 females; 24~63,mean 43±11 years old) were enrolled. DCE-MRI was performed in the primary tumor region including the regional lymph nodes on a 3.

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It has been controversial whether ankylosing spondylitis (AS) and nonradiographic axial spondyloarthritis (nr-axSpA) are separate or different phases of radiographic progression. We determined that serum calprotectin level (ng/ml) was higher in AS (15.30 ± 6.

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This study aimed to determine the relationships between magnetic resonance elastography (MRE) imaging biomarkers and the stages of liver fibrosis in a rabbit model of liver fibrosis, a longitudinal validation for clinical translation. Liver fibrosis was induced in 38 male New Zealand rabbits by weekly subcutaneous injections of 0.1 ml 50% carbon tetrachloride oily solution per kilogram of body weight for 4 to 10 weeks to produced varying degrees of liver fibrosis.

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Objective: To assess the feasibility of susceptibility weighted imaging (SWI) in staging hepatic fibrosis(HF).

Methods: Sixty healthy rabbits were divided into three groups: HF group(n=32), control group(n=16), supplementary group(n=12). Rabbits in HF group and supplementary group were injected subcutaneously with 50% CCl4 oil solution to establish hepatic fibrosis model.

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Objective: To explore the correlation between the T1ρ values of liver and liver fibrosis by using magnetic resonance (MR) T1ρ imaging.

Materials And Methods: The study consisted of the control group and the hepatic fibrosis (HF) group. Carbon tetrachloride (CCl4) injection was performed once a week for 10 weeks (week 1-10) in the HF group which was divided into 5 subgroups and underwent MR examinations at weeks 4, 5, 6, 10, and 15 respectively post the first CCl4 injection (week 1).

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Background: To compare the diagnostic values of magnetic resonance elastography (MRE) and diffusion-weighted imaging (DWI) in staging hepatic fibrosis (HF) in an animal model.

Methods: This study consisted of 44 rabbits served as HF group and 9 normal rabbits. HF group was divided into two subgroups: Group A (n = 32) and Group B (n = 12).

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Objective: The objective of this study was to compare the accuracy of calculating the primary tumor volumes using a gradient-based method and fixed threshold methods on the standardized uptake value (SUV) maps and the net influx of FDG (Ki) maps from positron emission tomography-computed tomography (PET-CT) images.

Materials And Methods: Newly diagnosed patients with head and neck cancer were recruited, and dynamic PET-CT scan and T2-weighted magnetic resonance imaging were performed. The maps of Ki and SUV were calculated from PET-CT images.

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