Chunhong Hu

ORCID: 0000-0002-6343-758X
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About
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Research Areas
  • Cardiac Imaging and Diagnostics
  • Cardiovascular Disease and Adiposity
  • Cardiovascular Function and Risk Factors
  • Radiomics and Machine Learning in Medical Imaging
  • Prostate Cancer Diagnosis and Treatment
  • Nanoplatforms for cancer theranostics
  • Parkinson's Disease Mechanisms and Treatments
  • Nanoparticle-Based Drug Delivery
  • Advanced Neuroimaging Techniques and Applications
  • Amyotrophic Lateral Sclerosis Research
  • MRI in cancer diagnosis
  • Advanced X-ray and CT Imaging
  • Cerebrovascular and Carotid Artery Diseases
  • Graphene and Nanomaterials Applications
  • Bone Tumor Diagnosis and Treatments
  • Ultrasound and Hyperthermia Applications
  • Endometriosis Research and Treatment
  • Nutrition and Health in Aging
  • Cellular Mechanics and Interactions
  • Salivary Gland Tumors Diagnosis and Treatment
  • Prion Diseases and Protein Misfolding
  • Fetal and Pediatric Neurological Disorders
  • Ovarian cancer diagnosis and treatment
  • Teratomas and Epidermoid Cysts
  • Head and Neck Anomalies

Soochow University
2013-2025

First Affiliated Hospital of Soochow University
2015-2025

Tianjin Medical University
2024

University of Shanghai for Science and Technology
2024

Shanghai Sixth People's Hospital
2024

The Affiliated Yongchuan Hospital of Chongqing Medical University
2024

Chongqing Medical University
2024

Capital Medical University
2024

Shanghai Jiao Tong University
2024

Shanghai First People's Hospital
2024

Abstract Objectives To develop and validate radiomics deep learning models based on contrast-enhanced MRI (CE-MRI) for differentiating dual-phenotype hepatocellular carcinoma (DPHCC) from HCC intrahepatic cholangiocarcinoma (ICC). Methods Our study consisted of 381 patients four centers with 138 HCCs, 122 DPHCCs, 121 ICCs (244 training 62 internal tests, 1 2; 75 external 3 4). Radiomics, transfer (DTL), fusion CE-MRI were established differential diagnosis, respectively, their diagnostic...

10.1186/s13244-025-01904-y article EN cc-by Insights into Imaging 2025-01-29

BACKGROUND Coronary heart disease (CHD) is a prevalent type 2 diabetes mellitus (T2DM) complication. Further, the risk stratification before angiography may help diagnose T2DM with CHD early. However, few studies have investigated coronary imaging characteristics and factors of patients complicated CHD. AIM To compare differences in between without CHD, determine establish predictive tool for diagnosing T2DM. METHODS This study retrospectively analyzed 103 from January 2022 to May 2024. They...

10.4239/wjd.v16.i4.99151 article EN World Journal of Diabetes 2025-02-28

Deep learning radiopathomics models based on MR images and pathologic effectively helped predict the vessels encapsulating tumor clusters pattern in hepatocellular carcinoma risk for early recurrence progression-free survival.

10.1148/rycan.240213 article EN Radiology Imaging Cancer 2025-03-01

Background Deep learning (DL) could improve the labor-intensive, challenging processes of diagnosing cerebral aneurysms but requires large multicenter data sets. Purpose To construct a DL model using set for accurate aneurysm segmentation and detection on CT angiography (CTA) images to compare its performance with radiology reports. Materials Methods Consecutive head or neck CTA suspected unruptured were gathered retrospectively from eight hospitals between February 2018 October 2021...

10.1148/radiol.233197 article EN Radiology 2024-08-01

Dual-phenotype hepatocellular carcinoma (DPHCC) is highly aggressive and difficult to distinguish from (HCC).To develop validate clinical radiomics models based on contrast-enhanced MRI for the preoperative diagnosis of DPHCC.Retrospective.A total 87 patients with DPHCC 92 non-DPHCC randomly divided into a training cohort (n = 125: 64 non-DPHCC; 61 DPHCC) validation 54: 28 26 DPHCC).A 3.0 T; dynamic time-resolved T1-weighted imaging sequence.In model, maximum tumor diameter hepatitis B virus...

10.1002/jmri.28391 article EN Journal of Magnetic Resonance Imaging 2022-08-17

To investigate the prognostic performance of radiomics analysis lesion-specific pericoronary adipose tissue (PCAT) for major adverse cardiovascular events (MACE) with guidance CT derived fractional flow reserve (CT-FFR) in coronary artery disease (CAD).

10.1186/s12880-024-01325-1 article EN cc-by BMC Medical Imaging 2024-06-17

The aim of the present study was to assess atypical imaging manifestations branchial cleft cysts (BCCs) confirmed by pathology. Computerized tomography (CT) or magnetic resonance (MRI) 17 BCC cases were reviewed. features, including laterality, location, border, attenuation and internal architecture, evaluated. All second BCCs, 5 Bailey type Ⅰ classification 12 Ⅱ cysts. features included signal morphological abnormalities. abnormal intensities caused intracapsular bleeding (n=2)...

10.3892/ol.2013.1656 article EN Oncology Letters 2013-11-04

Abstract Background Skeletal muscle mass and quality assessed by computed tomography (CT) images of the third lumbar vertebra (L3) level have been established as risk factors for poor clinical outcomes in several illnesses, but relevance dialysis patients is unclear. A few studies suggested a correlation between CT‐determined skeletal at first (L1) adverse outcomes. Generally, chest CT does not reach beyond L1. We aimed to determine whether opportunistic scan (chest CT)‐determined L1 are...

10.1002/jcsm.13331 article EN cc-by Journal of Cachexia Sarcopenia and Muscle 2023-09-18

Abstract Objectives To determine whether lesion-specific pericoronary adipose tissue CT attenuation (PCATa) is superior to PCATa around the proximal right coronary artery (PCATa-RCA) and left anterior descending (PCATa-LAD) for major adverse cardiovascular events (MACE) prediction in disease (CAD). Methods Six hundred eight CAD patients who underwent CTA from January 2014 December 2018 were retrospectively included, with clinical risk factors, plaque features, PCATa, PCATa-RCA, PCATa-LAD...

10.1093/bjr/tqad017 article EN British Journal of Radiology 2023-12-12

Glioma is the most common primary malignant tumor in brain. The diagnostic accuracy and treatment efficiency of glioma are facing great challenges due to presence blood-brain barrier (BBB) high infiltration glioma. There an urgent need explore combination therapeutic approaches achieve a more accurate diagnosis, as well guidance before after surgery. In this work, we induced human induction pluripotent stem cell into neural progenitor cells (NPCs) synthesized nanoprobes labeled with enhanced...

10.1021/acsabm.4c00414 article EN ACS Applied Bio Materials 2024-06-14

In recent years, the application of hollow mesoporous silicon nanoparticles in biomedical field has attracted much attention because their excellent features. this study, sonosensitizer curcumin (Cur), chemotherapy drug doxorubicin (Dox), and perfluoropropane (C3F8) gas were loaded into a multifunctional silica nanoparticle (MHMSN). The surface MHMSN was modified with biotin molecule acid-sensitive groups (cis-aconitic anhydride-polyethylene glycol, CDM-PEG). as-prepared (CDF-MHMSN)...

10.1021/acsanm.4c02319 article EN ACS Applied Nano Materials 2024-06-26

Abstract Active surveillance (AS) is the primary strategy for managing patients with low or favorable-intermediate risk prostate cancer (PCa). Identifying who may benefit from AS relies on unpleasant biopsies, which entail of bleeding and infection. In current study, we aimed to develop a radiomics model based magnetic resonance images identify candidates non-invasively. A total 956 PCa complete biopsy reports six hospitals were included in multicenter retrospective study. The National...

10.1186/s42492-024-00167-6 article EN cc-by Visual Computing for Industry Biomedicine and Art 2024-07-05

Abstract Background Type 2 diabetes mellitus (T2DM) patients have a higher incidence of coronary artery disease than the general population. The aim this study was to develop radiomics nomogram pericoronary adipose tissue (PCAT) based on non-contrast CT predict haemodynamically significant stenosis in T2DM patients. Methods enrolled 215 who underwent and computed tomography angiography (CCTA). CCTA derived fractional flow reserve (FFR ) ≤ 0.80 defined as hemodynamically stenosis.1691...

10.1186/s12880-023-01051-0 article EN cc-by BMC Medical Imaging 2023-07-28

Background Type 2 diabetes mellitus (T2DM) is associated with a markedly increased prevalence of coronary artery disease (CAD). Radiomics features pericoronary adipose tissue (PCAT) were correlated inflammation, which may have potential value in the prediction CAD. Purpose To determine whether radiomics analysis PCAT captured by plain computed tomography (CT) could predict obstructive CAD patients T2DM. Material and Methods The study included 155 T2DM suspected between January 2020 December...

10.1177/02841851231189998 article EN Acta Radiologica 2023-08-21

Primary intrathoracic chondrosarcomas are rare tumors. The present study reports three cases of primary in two males and one female aged between 45 64 years. Clinically, case presented with cough blood sputum, while the other chondrosarcoma were found incidently during a routine health examination. Radiologically, as large masses intratumoral calcification. Chondrosarcoma should be distinguished from calcified pulmonary lesions. In this study, all underwent surgical treatment, case, surgery...

10.3892/ol.2014.2275 article EN Oncology Letters 2014-06-23

Purpose Biomechanical properties can be used as biomarkers to diagnose tumors, monitor tumor development, and evaluate treatment efficacy. The purpose of this preliminary study is characterize the biomechanical environment two typical liver hemangiomas (HEMs) hepatocellular carcinomas (HCCs), investigate potential using strain metrics for diagnosis, based on a limited clinical dataset. Methods Magnetic resonance (MR) tagging was quantify motion deformation types tumors. Displacements tumors...

10.1002/mp.13434 article EN Medical Physics 2019-02-07

Background Identifying the cause of renal allograft dysfunction is important for clinical management kidney transplant recipients. Purpose To evaluate diagnostic efficiency diffusion tensor imaging (DTI) identifying allografts with acute rejection (AR) and chronic nephropathy (CAN). Study Type Prospective. Subjects Seventy‐seven patients (aged 42.5 ± 9.5 years), including 29 well‐functioning stable (Control group), 25 diagnosed (AR 23 (CAN group). Field Strength/Sequence 1.5 T/T2‐weighted...

10.1002/jmri.29042 article EN Journal of Magnetic Resonance Imaging 2023-10-09

Objective. To assess the diagnostic usefulness of magic in conjunction with PI-RADS v2.1 for prostate cancer malignant foci. Methods. A total 202 lesions (97 transitional zone and 105 peripheral lesions) from 198 people were investigated retrospectively using traditional MRI images. Each lesion has a unique pathological consequence. Lesions T1, T2, PD values employed as observation markers. The locations aggregated, paired <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1">...

10.1155/2022/3613540 article EN cc-by Computational and Mathematical Methods in Medicine 2022-08-29

Background Previous studies using emerging diffusion MRI techniques have revealed damage to the white matter (WM) microstructure in amyotrophic lateral sclerosis (ALS), particularly influence of crossed fibers, but there is a lack subgroup analyses. Purpose To detect WM microstructural changes ALS patients fixel‐based analysis (FBA) and neurite orientation dispersion density imaging (NODDI) MRI. Study Type Prospective. Population Thirty‐six (aged 60.50 ± 9.5 years) 25 healthy controls (HCs)...

10.1002/jmri.29171 article EN Journal of Magnetic Resonance Imaging 2023-12-07
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