A5043453271- Liver Disease Diagnosis and Treatment
- Hepatocellular Carcinoma Treatment and Prognosis
- MRI in cancer diagnosis
- Liver Disease and Transplantation
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Ultrasound Imaging and Elastography
- Elasticity and Material Modeling
- Hepatitis B Virus Studies
- Organ Transplantation Techniques and Outcomes
- Advanced Neuroimaging Techniques and Applications
- Optical measurement and interference techniques
- Advanced Measurement and Metrology Techniques
- Abdominal vascular conditions and treatments
- Cellular Mechanics and Interactions
- Cardiac Imaging and Diagnostics
- Advanced X-ray and CT Imaging
- Medical Imaging Techniques and Applications
- Drug-Induced Hepatotoxicity and Protection
- AI in cancer detection
- Optical Systems and Laser Technology
- Traumatic Brain Injury and Neurovascular Disturbances
- Ultrasound and Hyperthermia Applications
- Hepatitis Viruses Studies and Epidemiology
- Animal Virus Infections Studies
Ruijin Hospital
2017-2024
Shanghai Jiao Tong University
2018-2024
Nanjing University of Science and Technology
2022-2023
Jinshan Hospital of Fudan University
2009-2016
Zhongshan Hospital
2011-2015
Fudan University
2010-2015
The First Affiliated Hospital, Sun Yat-sen University
2011-2015
Sun Yat-sen University
2011-2015
People's Government of Yunnan Province
2012
Huashan Hospital
2010
Accurate measures of liver fat content are essential for investigating the role hepatic steatosis in pathophysiology multiple metabolic disorders. No traditional imaging methods can accurately quantify content. [ 1 H]‐magnetic resonance spectroscopy (MRS) is restricted large‐scale studies because practical and technological issues. Previous attempts on computer‐aided ultrasound quantification varied method, quantitative parameters measured from different machines were hardly comparable. We...
This study aimed to explore the added value of viscoelasticity measured by magnetic resonance elastography (MRE) in prediction Ki-67 expression hepatocellular carcinoma (HCC) using a deep learning combined radiomics (DLCR) model. retrospective included 108 histopathology-proven HCC patients (93 males; age, 59.6 ± 11.0 years) who underwent preoperative MRI and MR elastography. They were divided into training (n = 87; 61.0 9.8 testing 21; 60.6 10.1 cohorts. An independent validation cohort...
Abstract Background To investigate the viscoelastic signatures of proliferative hepatocellular carcinoma (HCC) using three-dimensional (3D) magnetic resonance elastography (MRE). Methods This prospective study included 121 patients with 124 HCCs as training cohort, and validation cohort 33 HCCs. They all underwent preoperative conventional imaging (MRI) tomoelastography based on 3D multifrequency MRE. Viscoelastic parameters tumor liver were quantified shear wave speed ( c , m/s) loss angle...
Abstract Purpose: To evaluate the role of abdominal susceptibility‐weighted imaging (SWI) in detection siderotic nodules cirrhotic liver. Materials and Methods: Forty patients with pathologically identified liver cirrhosis 40 age/sex‐matched normal controls underwent T1‐, T2‐, T2*‐weighted SWI at 3T. Two radiologists prospectively analyzed all magnetic resonance (MRI) studies. Siderotic detected by each technique were counted for comparison. The conspicuity was assessed using a scale from 1...
Safety data reported from the large-scale clinical trials of coronavirus disease 2019 (COVID-19) vaccine are extremely limited in patients with decompensated cirrhosis. The vaccination campaign this specific population could be difficult due to uncertainty about adverse events following vaccination. We aimed assessed COVID-19 rate, factors associated unvaccinated status, and cirrhosis.This is a retrospective study Ruijin Hospial (Shanghai, China) on an ongoing prospective cohort designed for...
Magnetic Resonance Elastography (MRE) can characterize biomechanical properties of soft tissue for disease diagnosis and treatment planning. However, complicated wavefields acquired from MRE coupled with noise pose challenges accurate displacement extraction modulus estimation. Using optimization-based Traveling Wave Expansion-based Neural Network (TWENN) estimation, we propose a new pipeline processing images. An objective function Dual Data Consistency (Dual-DC) has been used to ensure...
Abstract Background and objective. Early detection of hepatocellular carcinoma (HCC) is crucial for clinical management. Current studies have reported large HCC detections using automatic algorithms, but there a lack research on small HCCs (sHCCs). This study to investigate the feasibility sHCC (≤2 cm) based pattern matching deep learning (PM-DL) model. Materials methods . A retrospective included 5376 image sets from 56 cirrhosis patients (28 with 32 pathologically confirmed lesions 28...
Aims . Calcifying fibrous tumor (CFT) is a very rare begin fibroblastic featuring widely anatomical distribution and may mimic various spindle cell tumors. Misdiagnosis hence mistreatment are likely caused due to unfamiliarity clinicians or junior pathologists. We collected relatively large series of CFTs in our institution aiming at further summarizing their clinicopathologic features Chinese patients discussing the diagnosis differential clinical practice. Methods. Clinicopathologic data...
Abstract Measurement the viscoelastic properties is important for studying developmental and pathological behavior of soft biological tissues. Magnetic resonance elastography (MRE) a non-invasive method in vivo measurement tissue viscoelasticity. As flexible capable testing small samples, indentation has been widely used characterizing Using 2nd-order Prony series dimensional analysis, we analyzed compared model parameters estimated from both MRE. Conversions two methods were established. We...
To compare the results of T1ρ MR imaging and 2D real-time shear-wave elastography (SWE) for liver fibrosis detection staging. Twenty-nine rabbit models CCl4-induced were established six untreated rabbits served as controls. SWE examination performed at 2, 4, 6, 8, 10, 12 weeks. values stiffness (LS) measured. Fibrosis was staged according to METAVIR scoring system. Correlation test among values, LS stage. Receiver operating characteristic (ROC) analysis assessing diagnostic performance in no...
Abstract Objectives To assess whole-liver texture analysis on T1 maps for risk stratification of advanced fibrosis in patients with suspected nonalcoholic fatty liver disease (NAFLD). Methods This retrospective study included 53 patients. Histogram and parameters (volume, mean, SD, median, 5th percentile, 95th skewness, kurtosis, diff-entropy, diff-variance, contrast, entropy) were calculated based the semi-automatically segmented volume. A two-step approach combining Nonalcoholic Fatty...
Objective To evaluate multi-slice computed tomography (CT) perfusion imaging (CTPI) for identifying microcirculatory dysfunction in small intestinal ischemia−reperfusion (IR) injury a porcine model. Materials and Methods Fifty-two pigs were randomly divided into 4 groups: (1) the IR group (n = 24), where ischemia was induced by separating clamping superior mesenteric artery (SMA) 2 h, followed reperfusion 1, 2, 3, h (IR-1h, IR-2h, IR-3h, IR-4h; n 6, respectively); (2) sham-operated (SO) 20),...
Our goal is to design, test and verify an electromagnetic actuator for brain magnetic resonance elastography (MRE). We proposed a grappler‐shaped design that can transmit stable vibrations into the brain. To validate its performance, simulations were carried out ensure field generated by did not interfere with B 0 field. The actuation vibration spectrum was analyzed accuracy. Phantom volunteer experiments evaluate performance of actuator. Simulation showed has fringe less than 3 G in imaging...
Three-dimensional (3D) magnetic resonance imaging (MRI) can be acquired with a high spatial resolution flexibility being reformatted into arbitrary planes, but at the cost of reduced signal-to-noise ratio. Deep-learning methods are promising for denoising in MRI. However, existing 3D convolutional neural networks (CNNs) rely on either multi-channel two-dimensional (2D) network or single-channel limited ability to extract dimensional features. We aim develop deep learning approach based...
Objective To investigate the value of susceptibility-weighted imaging (SWI) for characterization hepatocellular carcinoma (HCC) and dysplastic nodule (DN). Materials Methods Sixty-eight cirrhotic patients with 89 nodules underwent SWI. The radiological features on SWI were classified into three types: type A (iso- or hypointensity, background liver siderosis), B (hyperintensity, C no siderosis). Intranodular iron content was quantified correlated pattern. Prussian blue staining performed to...
Hepatocellular carcinoma (HCC) is the most common primary hepatic malignancy. This study was designed to investigate value of computed tomography (CT) spectral imaging in differentiating HCC from hemangioma (HH) and focal nodular hyperplasia (FNH).This a retrospective 51 patients who underwent multiple-phase CT at 40-140 keV during arterial phase (AP) portal venous (PP). Slopes curves, iodine density, water density derived iodine- water-based material decomposition images, uptake ratio...
Estimating liver function reserve is essential for preoperative surgical planning and predicting post-hepatectomy complications in patients with hepatocellular carcinoma (HCC). We investigated hepatic viscoelasticity quantified by tomoelastography, a multifrequency magnetic resonance elastography technique, to predict reserve.One hundred fifty-six suspected HCC (mean age, 60 ± 1 years; 131 men) underwent tomoelastography examination between July 2020 August 2021. Sixty-nine were included the...
Chronic hepatitis B is the most common chronic liver disease in China. For patients with B, steatosis increases risk of cirrhosis and hepatocellular carcinoma. This study aimed to analyze compare clinical value a newly developed ultrasound attenuation parameter, analysis (LiSA), acquired by Hepatus (Mindray, China), controlled parameter (CAP), widely used FibroScan (Echosens, France), for grading infection.A total 203 were divided into two groups according fat content validated biopsy: group...
Diffusion-weighted imaging (DWI) with parallel reconstruction may suffer from a mismatch between the coil calibration scan and due to motions, especially for abdominal imaging.This study aimed construct an iterative multichannel generative adversarial network (iMCGAN)-based framework simultaneous sensitivity map estimation calibration-free image reconstruction. The included 106 healthy volunteers 10 patients tumors.The performance of iMCGAN was evaluated in participants compared SAKE,...