A5100714996- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
- Advanced X-ray and CT Imaging
- MRI in cancer diagnosis
- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
- Hepatocellular Carcinoma Treatment and Prognosis
- Advanced MRI Techniques and Applications
- Cardiovascular Disease and Adiposity
- Radiation Dose and Imaging
- Cerebrovascular and Carotid Artery Diseases
- Coronary Artery Anomalies
- Liver Disease Diagnosis and Treatment
- Congenital Heart Disease Studies
- Medical Imaging Techniques and Applications
- Acute Ischemic Stroke Management
- COVID-19 Clinical Research Studies
- Lung Cancer Diagnosis and Treatment
- Aortic Disease and Treatment Approaches
- Renal cell carcinoma treatment
- Cardiovascular Health and Disease Prevention
- Functional Brain Connectivity Studies
- Viral Infections and Immunology Research
- Coronary Interventions and Diagnostics
- Cardiovascular Function and Risk Factors
Soochow University
2016-2025
First Affiliated Hospital of Soochow University
2016-2025
Shandong University
2016-2025
Shandong Provincial Hospital
2008-2025
Shandong First Medical University
2009-2025
Fourth People’s Hospital of Jinan
2025
Xian Yang Central Hospital
2025
Soochow University
2020-2025
Anhui University of Technology
2025
Guangzhou University of Chinese Medicine
2023-2024
Rational structure design benefits the development of efficient nanoplatforms for tumor theranostic application. In this work, a multifunctional polydopamine (PDA)-coated manganese sulfide (MnS) nanocluster was prepared. The polyhydroxy PDA enhanced water interaction with pH-responsive MnS nanoclusters via hydrogen bonds. At pH 5.5 conditions, spin–lattice relaxation rate dramatically increased from 5.76 to 19.33 mM–1·s–1 after coating, which can be beneficial magnetic resonance imaging....
The computed tomography angiography (CTA) postprocessing manually recognized by technologists is extremely labor intensive and error prone. We propose an artificial intelligence reconstruction system supported optimized physiological anatomical-based 3D convolutional neural network that can automatically achieve CTA in healthcare services. This trained tested with 18,766 head neck scans from 5 tertiary hospitals China collected between June 2017 November 2018. overall accuracy of the...
Background Studies have rarely investigated stenosis detection from head and neck CT angiography scans because accurate interpretation is time consuming labor intensive. Purpose To develop an automated convolutional neural network–based method for plaque classification in images compare its performance with that of radiologists. Materials Methods A deep learning (DL) algorithm was constructed trained use were collected retrospectively four tertiary hospitals between March 2020 July 2021....
This study aimed to investigate the correlation of increased volume index epicardial adipose tissue (EAT) and left ventricular hypertrophy (LVH) in patients with Hypertension (HTN). A total 209 HTN 50 healthy controls, who underwent cardiovascular magnetic resonance (CMR) at two medical centers China between June 2015 October 2024, were enrolled for this study. Postprocessing imaging analysis conducted EAT measurements performed. Restricted cubic splines (RCS) used explore potential...
Celastrol is a terpenoid purified from Tripterygium wilfordii Hook F. As natural product with pharmacological activities, this compound promising candidate for drug development. To provide more information about its toxicity clinical trials, assessment of celastrol was conducted zebrafish model in vivo. 1hour post-fertilization (hpf) embryos were treated various concentrations 120h. Developmental phenotypes observed and survival rates recorded. The results showed that the hatching 1.0μM or...
Abstract Purpose To investigate the performance of magnetic resonance imaging (MRI)-based radiomics models for benign and malignant prostate lesion discrimination extracapsular extension (ECE) positive surgical margins (PSM) prediction. Methods materials In total, 459 patients who underwent multiparametric MRI (mpMRI) before biopsy were included. Radiomic features extracted from both T2-weighted (T2WI) apparent diffusion coefficient (ADC). Patients divided into different training sets...
This study aimed to develop deep learning (DL) models based on multicentre biparametric magnetic resonance imaging (bpMRI) for the diagnosis of clinically significant prostate cancer (csPCa) and compare performance these with that Prostate Imaging Reporting Data System (PI-RADS) assessment by expert radiologists multiparametric MRI (mpMRI).We included 1861 consecutive male patients who underwent radical prostatectomy or biopsy at seven hospitals mpMRI. These were divided into training (1216...
Abstract Under normal conditions, insulin promotes hepatic de novo lipogenesis (DNL). However, during resistance (IR), when signalling is blunted and accompanied by hyperinsulinaemia, the promotion of DNL continues unabated steatosis increases. Here, we show that WD40 repeat-containing protein 6 (WDR6) IR. Mechanistically, WDR6 interacts with beta-type catalytic subunit serine/threonine-protein phosphatase 1 (PPP1CB) to facilitate PPP1CB dephosphorylation at Thr316, which subsequently...
Abstract Aldehyde dehydrogenase 3A1 (ALDH3A1) is an NAD + -dependent enzyme that closely related to tumor development. However, its role in non-small-cell lung cancer (NSCLC) has not been elucidated. This study aimed clarify the mechanism of ALDH3A1 and identify potential therapeutic targets for NSCLC. Here, first time, we found expression could be induced by a hypoxic environment was highly expressed NSCLC tissue, especially some late-stage patients, associated with poor prognosis. In...
MicroRNAs (miRNAs) are a class of non-protein-coding small RNAs with the capacity to regulate fundamental biological processes essential for cancer initiation and progression. In present study, we analyzed miRNA expression levels between multidrug-resistant gastric carcinoma cell line SGC7901/ADR its parent SGC7901 using microarray. MiR-103/107 was downregulated compared parental cells. Overexpression miR-103/107 sensitized cells doxorubicin (DOX), as demonstrated by in vitro vivo drug...
We recently confirmed that angiotensin II (Ang II) type 1 receptor (AT1R) was overexpressed in hepatocellular carcinoma tissue using a murine hepatoma model. Angiotensin(Ang)-(1-7) has been found beneficial ameliorating lung cancer and prostate cancer. Which of Ang-(1-7) is activated to mediate its effects much speculated. This study designed investigate the on carcinoma, as well probable mechanisms. H22 hepatoma-bearing mice were randomly divided into five groups for treatment: mock group,...
To investigate the diagnostic performance of deep learning (DL)-based vascular extraction and stenosis detection technology in assessing coronary artery disease (CAD).The DL was evaluated by retrospective analysis computed tomography angiography 124 suspected CAD patients, using invasive as reference standard. Lumen diameter ≥50% considered obstructive, performances were at per-patient, per-vessel per-segment levels. The between model reader compared areas under receiver operating...
Nuclear protein Ki-67 indicates the status of cell proliferation and has been regarded as an attractive biomarker for prognosis HCC. The aim this study is to investigate which radiomics model derived from different sequences phases gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI was superior predict expression in hepatocellular carcinoma (HCC), then further validate optimal preoperative prediction This retrospective included 151 (training cohort: n =...
Abstract Purpose To develop machine learning-based radiomics models derive from different MRI sequences for distinction between benign and malignant PI-RADS 3 lesions before intervention, to cross-institution validate the generalization ability of models. Methods The pre-biopsy datas 463 patients classified as were collected 4 medical institutions retrospectively. 2347 features extracted VOI T2WI, DWI ADC images. ANOVA feature ranking method support vector classifier used construct...
To develop and evaluate machine learning models based on MRI to predict clinically significant prostate cancer (csPCa) International Society of Urological Pathology (ISUP) grade group as well explore the potential value radiomics for improving performance radiologists Prostate Imaging Reporting Data System (PI-RADS) assessment. A total 1616 patients from 4 tertiary care medical centers were retrospectively enrolled. PI-RADS assessments performed by junior, senior, expert-level radiologists....
Nanoplatforms with high Mn
Despite the increasing number of radiological case reports, majority lack a standardised methodology writing and reporting. We therefore develop reporting guideline for reports based on CAse REport (CARE) statement. established multidisciplinary group experts, comprising 40 radiologists, methodologists, journal editors researchers, to according recommended by Enhancing QUAlity Transparency Of health Research network. The Delphi panel was requested evaluate significance list elements...