A5000149090- Liver Disease Diagnosis and Treatment
- Hepatocellular Carcinoma Treatment and Prognosis
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Animal Virus Infections Studies
- Ultrasound and Hyperthermia Applications
- Spectroscopy Techniques in Biomedical and Chemical Research
- Advanced Neuroimaging Techniques and Applications
- Pancreatitis Pathology and Treatment
- Heat shock proteins research
- Colorectal Cancer Surgical Treatments
- Liver Disease and Transplantation
- Elasticity and Material Modeling
- Liver physiology and pathology
- Colorectal and Anal Carcinomas
- Organ Transplantation Techniques and Outcomes
- Gastric Cancer Management and Outcomes
- Hepatitis B Virus Studies
- Cellular Mechanics and Interactions
Sichuan University
2025
Ruijin Hospital
2022-2024
Shanghai Jiao Tong University
2022-2024
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 Objectives The capability of MR elastography (MRE) to differentiate fibrosis and inflammation, provide precise diagnoses is crucial, whereas the coexistence inflammation may obscure diagnostic accuracy. Methods In this retrospective study, from June 2020 December 2022, chronic viral hepatitis patients who underwent multifrequency MRE (mMRE) were included in, further divided into, training validation cohorts. hepatic viscoelastic parameters [shear wave speed ( c ) loss angle φ...
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...
Clinical guidelines recommend ≥12 examined lymph nodes (ELNs) for colon cancer staging, but more may be necessary accuracy. This study utilized nodal staging scores (NSS) to identity the optimal number of ELNs based on tumor location and T stage, assess its prognostic impact. Data from 80,792 patients in Surveillance, Epidemiology, End Results (SEER) database (2004-2014) 2,300 West China Hospital (WCH) cohort (2008-2014) with stage I-III resected were analyzed. Optimal was estimated using a...
Background Pretreatment identification of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) is important when selecting treatment strategies. Purpose To improve models for predicting MVI and recurrence‐free survival (RFS) by developing nomograms containing three‐dimensional (3D) MR elastography (MRE). Study Type Prospective. Population 188 patients with HCC, divided into a training cohort ( n = 150) validation 38). In the cohort, 106/150 completed 2‐year follow‐up. Field...
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...
Glypican-3 (GPC3) expression is investigated as a promising target for tumor-specific immunotherapy of hepatocellular carcinoma (HCC). This study aims to determine whether GPC3 alters the viscoelastic properties HCC and tomoelastography, multifrequency magnetic resonance elastography (MRE) technique, sensitive it.Ninety-five participants (mean age, 58 ± 1 years; 78 men 17 women) with 100 pathologically confirmed lesions were enrolled in this prospective from July 2020 August 2021. All...
Motivation: Non-invasive detection of MVI and Wnt/β-catenin pathway activation remains challenging for hepatocellular carcinoma (HCC). Goal(s): To investigate expression in HCC using preoperative magnetic resonance elastography (MRE). Approach: Totally, 210 patients undergoing hepatectomy were recruited MRE recurrence-free survival was documented. Tumor c φ value represented tissue stiffness viscosity, respectively. Results: The silence the presence MVI-positivity markedly...
Differentiating fibrosis and inflammation is vital important clinical distinction in patients with chronic liver disease (CLD). Liver histopathology the worldwide reference standard for staging inflammation. Therefore, there urgent need to develop non-invasive low risk methods Current researches has been demonstrated that three-dimensional MRE allows showed higher diagnosis accuracy even than 2D MRE. Here, we prospectively evaluate efficacy of parameters 3D MRE-derived grade real situations.
Tumor-liver biomechanical interaction investigated by multifrequency MR elastography in patients with HCC
Hepatic venous pressure gradient (HVPG) measurement is the standard technique of assessing portal pressure. Portal hypertension mainly caused by increased intrahepatic resistance to blood flow related structural changes, including fibrosis and vascular distortion. Here, we used dynamic contrast-enhancement (DCE) MRI quantify segmented liver contours morphology in evaluating Our study showed measurements correlated well with HVPG measurement. A non-invasive prediction model combining surface...
In this study, a combined deep learning and radiomics (DLR) approach using six different network architectures was tested compared for the prediction of high Ki-67 expressions in patients with hepatocellular carcinoma (HCC). The model based primarily on data from MRI tomoelastography, multifrequency MR elastography technique. Xception delivered best performance recognized seven prominent features among which four were obtained tomoelastography. Our findings demonstrated that biomechanical...
Tumor-liver biomechanical interaction investigated by multifrequency MR elastography in patients with HCC
Glypican-3 (GPC3) expression in hepatocellular carcinoma (HCC) is often associated with a poor prognosis. GPC3 promising target for tumor-specific immunotherapy HCC. We investigated the diagnostic performance of viscoelastic properties quantified by tomoelastography, multifrequency MR-elastography (MRE) technique, detection GPC3-positive Preliminary results showed that reduced stiffness tomoelastography mechanical signature positive Combining and serum alpha-fetoprotein (AFP) level could be...
It is known that biomechanical and structural properties of tumor tissues are potential biomarkers for the diagnosis prognosis tumors such as Hepatocellular carcinoma (HCC). Although there many studies on characterization HCC at cellular level, limited information from in situ studies. Here, tissue samples 14 patients diagnosed with were analyzed. Indentation tests showed instantaneous shear modulus long-term 1.19 ± 0.86kPa 0.29 0.25kPa, respectively. The fraction collagen estimated by...