Publications by authors named "Fubi Hu"

Article Synopsis
  • This study is about using special computer programs to help doctors figure out how serious stomach cancer (GC) is by looking at CT scans.
  • Researchers tested different models, including one that combines regular features and deep learning, to automatically categorize stages of GC.
  • The hybrid model worked the best, correctly identifying cancer stages 81.4% of the time, which means it's a promising tool for helping doctors in their treatment plans.
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Diagnosing liver lesions is crucial for treatment choices and patient outcomes. This study develops an automatic diagnosis system for liver lesions using multiphase enhanced computed tomography (CT). A total of 4039 patients from six data centers are enrolled to develop Liver Lesion Network (LiLNet).

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Rationale And Objectives: To investigate the diagnostic performance of water-specific T1 mapping for staging liver fibrosis in a non-alcoholic fatty liver disease (NAFLD) rabbit model, in comparison to Modified Look-Locker Inversion recovery (MOLLI) T1 mapping.

Materials And Methods: 60 rabbits were randomly divided into the control group (12 rabbits) and NAFLD model groups (eight rabbits per subgroup) corresponding to different durations of high-fat high cholesterol diet feeding. All rabbits underwent MRI examination including MOLLI T1 mapping and 3D multi-echo variable flip angle (VFAME- GRE) sequences were acquired before and 20 min after the administration of Gd- EOB-DTPA.

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Article Synopsis
  • The study aims to evaluate how effective different MRI techniques (T1ρ dispersion and Gd-EOB-DTPA-enhanced T1 mapping) are in detecting early liver fibrosis and non-alcoholic steatohepatitis in rabbits with a fatty liver diet.
  • Results show significant differences in various MRI metrics when comparing rabbits with normal livers to those with varying degrees of liver fibrosis and NASH, indicating these imaging techniques can help in early diagnosis.
  • T1ρ dispersion proved to be the most effective measure for identifying early liver fibrosis, while △T1 and HBP T1 showed superior performance for diagnosing NASH compared to T1ρ variations.
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Objective: Clinical evidence suggests that the risk stratification of portal hypertension (PH) plays a vital role in disease progression and patient outcomes. However, the gold standard for stratifying PH [portal vein pressure (PVP) measurement] is invasive and therefore not suitable for routine clinical practice. This study is aimed to stratify PH and predict patient outcomes using liver or spleen texture features based on computed tomography (CT) images non-invasively.

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Purpose: To develop a bounding box (BBOX)-based radiomics model for the preoperative diagnosis of occult peritoneal metastasis (OPM) in advanced gastric cancer (AGC) patients.

Materials And Methods: 599 AGC patients from 3 centers were retrospectively enrolled and were divided into training, validation, and testing cohorts. The minimum circumscribed rectangle of the ROIs for the largest tumor area (R_BBOX), the nonoverlapping area between the tumor and R_BBOX (peritumoral area; PERI) and the smallest rectangle that could completely contain the tumor determined by a radiologist (M_BBOX) were used as inputs to extract radiomic features.

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Background: We explored the association of epicardial fat volume (EFV) with coronary plaque characteristics, coronary artery calcification (CAC) score, coronary stenosis, lesion-specific ischemia in patients with known or suspected coronary artery disease (CAD).

Methods: 88 controls and 221 patients were analyzed in the study. High-risk plaque was defined as existing≥2 features, including positive remodeling, low attenuation, napkin-ring sign and spotty calcification.

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BACKGROUND The diagnosis of myocarditis is challenging, and the treatment is generally delayed due to misdiagnosis or missed diagnosis. Endomyocardial biopsy (EMB) is not a specific or sensitive method. A case-controlled observational study was conducted to evaluate early gadolinium enhancement (EGE) and left ventricular functional parameters on Artificial Intelligence in cine-MRI in patients with acute myocarditis.

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Background: Patients with chronic liver diseases (CLDs) often suffer from lipidosis or siderosis. Proton density fat fraction (PDFF) and R2* can be used as quantitative parameters to assess the fat/iron content of the liver. The aim of this study was to evaluate the influence of liver fibrosis and inflammation on the 3D Multi-echo Dixon (3D ME Dixon) parameters (MRI-PDFF and R2*) in patients with CLDs and to determine the feasibility of 3D ME Dixon technique for the simultaneous assessment of liver steatosis and iron overload using histopathologic findings as the reference standard.

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Introduction: It is urgent to find an effective method to diagnose and prognose early hepatocellular carcinoma (HCC). The purpose of this study was to investigate the correlation between HCC histological degree and water percentage (WP) obtained from magnetic resonance imaging 3D-VIBE multiecho Dixon, and to evaluate the feasibility of WP in the postoperative prediction of early HCC recurrence.

Methods And Materials: From June 2016 to July 2017, 76 patients with diagnostic HCC all underwent 3D-VIBE Multiecho Dixon and ultrahigh b value diffusion-weighted imaging (DWI) examination.

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Accurate preoperative differentiation of intrahepatic cholangiocarcinoma (ICC) and hepatocellular carcinoma (HCC) in the setting of cirrhotic liver is of great clinical significance because the treatment and prognosis of these entities differ markedly. Through a retrospectively research, we sought to determine the diagnostic performances of intravoxel incoherent motion (IVIM) and diffusion weighted imaging (DWI) parameters in the differentiating of ICC and HCC. According to the results, we found that apparent diffusion coefficient (ADC) derived from mono-exponential model and true ADC (ADC) derived from bi-exponential model can be used to distinguish the ICC and HCC, and ADCentailed the higher diagnostic performance than ADC.

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Purpose: To retrospectively determine the feasibility of intravoxel incoherent motion (IVIM) imaging based on histogram analysis for the staging of liver fibrosis (LF) using histopathologic findings as the reference standard.

Methods: 56 consecutive patients (14 men, 42 women; age range, 15-76, years) with chronic liver diseases (CLDs) were studied using IVIM-DWI with 9 b-values (0, 25, 50, 75, 100, 150, 200, 500, 800 s/mm) at 3.0 T.

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Angiolipoma of the spine is a benign neoplasm consisting of both mature fatty tissue and abnormal vascular elements, and usually presents with a slow progressive clinical course. Our patient presented with bilateral lower extremity weakness and chest-back numbness. Physical examination revealed adipose elements superficial hypesthesia below the T5 level and analgesia below the T6 level.

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