Search Results - "Huang, Zixing"
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The Battle Against Coronavirus Disease 2019 (COVID-19): Emergency Management and Infection Control in a Radiology Department
Published in Journal of the American College of Radiology (01-06-2020)“…To describe the strategy and the emergency management and infection control procedure of our radiology department during the coronavirus disease 2019…”
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Gadoxetic acid disodium–enhanced magnetic resonance imaging outperformed multidetector computed tomography in diagnosing small hepatocellular carcinoma: A meta‐analysis
Published in Liver transplantation (01-12-2017)“…Early detection of small hepatocellular carcinoma (HCC) lesions can improve longterm patient survival. A systematic review and meta‐analysis of the diagnostic…”
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Imaging evaluation of the pancreas in diabetic patients
Published in Abdominal radiology (New York) (01-02-2022)“…Diabetes mellitus (DM) is becoming a global epidemic and its diagnosis and monitoring are based on laboratory testing which sometimes have limitations. The…”
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Combining initial chest CT with clinical variables in differentiating coronavirus disease 2019 (COVID-19) pneumonia from influenza pneumonia
Published in Scientific reports (19-03-2021)“…Coronavirus disease 2019 (COVID-19) has spread in more than 100 countries and regions around the world, raising grave global concerns. COVID-19 has a similar…”
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CT and MR imaging of primary biliary cholangitis: a pictorial review
Published in Insights into imaging (26-10-2023)“…Primary biliary cholangitis (PBC) is a rare chronic autoimmune-mediated cholestatic liver disease involving medium and small bile ducts that can lead to liver…”
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Development and Validation of a Computed Tomography-Based Model for Noninvasive Prediction of the T Stage in Gastric Cancer: Multicenter Retrospective Study
Published in Journal of medical Internet research (09-10-2024)“…As part of the TNM (tumor-node-metastasis) staging system, T staging based on tumor depth is crucial for developing treatment plans. Previous studies have…”
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Imaging and clinical features of Castleman Disease
Published in Cancer imaging (25-07-2019)“…Castleman disease (CD) is a group of uncommon lymphoproliferative disorders that is easily confused with lymphoma or other solid tumors. The purpose of our…”
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Two-dimensional Texture Analysis Based on CT Images to Differentiate Pancreatic Lymphoma and Pancreatic Adenocarcinoma: A Preliminary Study
Published in Academic radiology (01-08-2019)“…To retrospectively assess the diagnostic performance of texture analysis and characteristics of CT images for the discrimination of pancreatic lymphoma (PL)…”
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Intravoxel incoherent motion diffusion-weighted imaging for assessment of histologic grade of hepatocellular carcinoma: comparison of three methods for positioning region of interest
Published in European radiology (01-02-2019)“…Objectives To prospectively compare the diagnostic performances of three methods of region of interest (ROI) placement for the measurements of intravoxel…”
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Focal liver lesion diagnosis with deep learning and multistage CT imaging
Published in Nature communications (15-08-2024)“…Diagnosing liver lesions is crucial for treatment choices and patient outcomes. This study develops an automatic diagnosis system for liver lesions using…”
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Effectiveness of a socioecological model-guided, smart device-based, self-management-oriented lifestyle intervention in community residents: protocol for a cluster-randomized controlled trial
Published in BMC public health (02-01-2024)“…Healthy lifestyles are crucial for preventing chronic diseases. Nonetheless, approximately 90% of Chinese community residents regularly engage in at least one…”
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Deep Convolutional Neural Network Based on Computed Tomography Images for the Preoperative Diagnosis of Occult Peritoneal Metastasis in Advanced Gastric Cancer
Published in Frontiers in oncology (02-11-2020)“…We aimed to develop a deep convolutional neural network (DCNN) model based on computed tomography (CT) images for the preoperative diagnosis of occult…”
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Development and validation of MRI‐based deep learning models for prediction of microsatellite instability in rectal cancer
Published in Cancer medicine (Malden, MA) (01-06-2021)“…Background Microsatellite instability (MSI) predetermines responses to adjuvant 5‐fluorouracil and immunotherapy in rectal cancer and serves as a prognostic…”
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Esophageal carcinoma: Intravoxel incoherent motion diffusion‐weighted MRI parameters and histopathological correlations
Published in Journal of magnetic resonance imaging (01-01-2019)“…Background The pathological grade of esophageal carcinoma is highly determinant of patient prognosis, but it still cannot be adequately evaluated…”
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Container CT scanner: a solution for modular emergency radiology department during the COVID-19 pandemic
Published in Diagnostic and interventional radiology (Ankara, Turkey) (01-05-2021)“…During the coronavirus disease 2019 (COVID-19) pandemic period, container computed tomography (CT) scanners were developed and used for the first time in China…”
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IVIM improves preoperative assessment of microvascular invasion in HCC
Published in European radiology (01-10-2019)Get full text
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A Bounding Box-Based Radiomics Model for Detecting Occult Peritoneal Metastasis in Advanced Gastric Cancer: A Multicenter Study
Published in Frontiers in oncology (03-12-2021)“…To develop a bounding box (BBOX)-based radiomics model for the preoperative diagnosis of occult peritoneal metastasis (OPM) in advanced gastric cancer (AGC)…”
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Feasibility of using software-aided selection of virtual monoenergetic level for optimal image quality of acute necrotising pancreatitis based on dual-energy computed tomography: a preliminary study
Published in BMC medical imaging (18-07-2023)“…This study aimed to assess the feasibility of software-aided selection of monoenergetic level for acute necrotising pancreatitis (ANP) depiction compared to…”
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Oxygen and Glucose as Stimulation Agents for BOLD Functional MR Imaging of Rabbit Liver: A Feasibility Study
Published in Magnetic Resonance in Medical Sciences (01-01-2018)“…Purpose: To assess the feasibility of using oxygen and glucose as stimulating agents in blood-oxygen-level-dependent (BOLD) Functional Magnetic Resonance…”
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