A5101961461- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Head and Neck Cancer Studies
- AI in cancer detection
- Gastric Cancer Management and Outcomes
- Cell Image Analysis Techniques
- Cardiac tumors and thrombi
- Sarcoma Diagnosis and Treatment
- Medical Imaging and Pathology Studies
- Cancer Genomics and Diagnostics
- Lung Cancer Treatments and Mutations
- Medical Imaging Techniques and Applications
- Computational Drug Discovery Methods
- Advanced MRI Techniques and Applications
- Lung Cancer Diagnosis and Treatment
- Pancreatic and Hepatic Oncology Research
- Viral Infections and Immunology Research
- Lymphoma Diagnosis and Treatment
- RNA regulation and disease
- Eosinophilic Disorders and Syndromes
- Radiation Dose and Imaging
- Helicobacter pylori-related gastroenterology studies
- Eosinophilic Esophagitis
- Acute Kidney Injury Research
- Textile materials and evaluations
Nanjing Tech University
2025
Guangdong Academy of Medical Sciences
2011-2024
Guangdong Provincial People's Hospital
2019-2024
Fuzhou University
2024
Incell Corporation (United States)
2023-2024
Guangdong General Hospital
2011-2019
Southern Medical University
2016-2017
Shantou University
2016
Shantou University Medical College
2016
Qingdao University
2013
Purpose: To identify MRI-based radiomics as prognostic factors in patients with advanced nasopharyngeal carcinoma (NPC).Experimental Design: One-hundred and eighteen (training cohort: n = 88; validation 30) NPC were enrolled. A total of 970 features extracted from T2-weighted (T2-w) contrast-enhanced T1-weighted (CET1-w) MRI. Least absolute shrinkage selection operator (LASSO) regression was applied to select for progression-free survival (PFS) nomograms. Nomogram discrimination calibration...
We aimed to identify a magnetic resonance imaging (MRI)-based model for assessment of the risk individual distant metastasis (DM) before initial treatment nasopharyngeal carcinoma (NPC).This retrospective cohort analysis included 176 patients with NPC. Using PyRadiomics platform, we extracted features primary tumors in all who did not exhibit DM treatment. Subsequently, used minimum redundancy-maximum relevance and least absolute shrinkage selection operator algorithms select strongest build...
Objective To evaluate the outcome of conservative treatment young women with endometrial cancer. Design Observational study. Setting Gifu University Hospital, Japan from 1988 to 2002. Population Twelve cancer, FIGO IA estimated by MRI under 35 years. Methods Patients were treated medroxyprogestreone acetate (400–600 mg/day) for 6–10 months, curettage performed every four weeks. Main measures Response therapy, pregnancies and reoccurrence disease during follow up over a 30‐month period....
Early radiation-induced temporal lobe injury (RTLI) diagnosis in nasopharyngeal carcinoma (NPC) is clinically challenging, and prediction models of RTLI are lacking. Hence, we aimed to develop radiomic for early detection RTLI.We retrospectively included a total 242 NPC patients who underwent regular follow-up magnetic resonance imaging (MRI) examinations, including contrast-enhanced T1-weighted T2-weighted imaging. For each MRI sequence, four non-texture 10,320 texture features were...
Background: To develop and validate a radiomic nomogram incorporating features with clinical variables for individual local recurrence risk assessment in nasopharyngeal carcinoma (NPC) patients before initial treatment. Methods: One hundred forty were randomly divided into training cohort (n = 80) validation 60). A total of 970 extracted from pretreatment magnetic resonance (MR) images NPC May 2007 to December 2013. Univariate multivariate analyses used selecting associated recurrence, was...
Cell morphology is a fundamental feature used to evaluate patient specimens in pathologic analysis. However, traditional cytopathology analysis of effusion samples limited by low tumor cell abundance coupled with the high background nonmalignant cells, restricting ability downstream molecular and functional analyses identify actionable therapeutic targets. We applied Deepcell platform that combines microfluidic sorting, brightfield imaging, real-time deep learning interpretations based on...
An efficient machine learning scheme using a SVM classifier for predicting the aggregation-induced emission effect of triphenylamine-based luminophores was proposed.
Therapeutic drug treatments of solid tumors are often undermined by various resistance mechanisms. Identification drug-resistance phenotypes at the single cell level is challenging because conventional molecular methods cell-destructive, labor-intensive, and cost-prohibitive. To overcome these challenges, we developed an orthogonal approach to phenotyping, through use deep-learning-driven morphology analysis single, high resolution images. Specifically, trained deep learning-based...
Melt-blown nonwoven materials have shown significant advancements in a multitude of industrial sectors, mainly due to their high production efficiency, extensive specific surface area, and narrow aperture. The demand for melt-blown has increased further recent time, particularly the wake novel coronavirus (Covid-19) pandemic. We systematically summarize main research applications technology last few years. First, this review describes principles processes that govern micro/nano fibers....
Some epidemiologic surveillance studies have recorded adverse drug reactions to radiocontrast agents. We aimed investigate the incidence and management of acute (AARs) Ultravist-370 Isovue-370 in patients who underwent contrast-enhanced computed tomography (CT) scanning.Data from 137,473 were analyzed. They had undergone enhanced CT scanning with intravenous injection or during period January 1, 2006 December 31, 2012 our hospital. investigated classified AARs according American College...
Background: Although there is good evidence that warming of contrast media changes the bolus kinetics and injection pressure iodinated media, has been little it affects clinical adverse event rates in a meaningful way. Objective: To determine whether extrinsic low-osmolality to 37°C reduced reactions. Methods: Data on reactions were collected from two cohorts, one which used at room temperature other warmed before administration. Adverse reactions, including allergic-like physiological...
Introduction Diabetic nephropathy (DN) has become a major public health burden in China. A more stable method is needed to reflect the different stages of renal function impairment. We aimed determine possible practicability machine learning (ML)-based multimodal MRI texture analysis (mMRI-TA) for assessing DN. Methods For this retrospective study, 70 patients (between 1 January 2013 and 2020) were included randomly assigned training cohort ( n = 49) testing 2 21). According estimated...
In the early phase of viral encephalitis, conventional MRI may appear normal. Diffusion-weighted imaging (DWI) is a sensitive tool for detecting changes in cellular function central nervous system.To investigate usefulness DWI diagnosis enterovirus 71 (EV71) and to determine whether superior MR sequences.MRI scans 26 patients were retrospectively evaluated distribution lesions on T1-weighted images (T1WI), T2-weighted (T2WI), fluid-attenuated inversion recovery (FLAIR), DWI....
A 36-year-old woman with a 2-week history of fever and markedly elevated lactate dehydrogenase levels. Nonenhanced CT contrast-enhanced showed hepatosplenomegaly, diffusely decreased attenuation the liver, homogeneous enhancement in hepatic splenic parenchyma. F-FDG PET/CT revealed diffuse intense heterogeneous uptake by liver (like superscan bone scintigraphy). needle biopsy confirmed diagnosis hepatosplenic alphabeta T-cell lymphoma. Subsequently, she received chemotherapy. The follow-up spleen.
18F-FDG PET/CT is a key molecular imaging modality to noninvasively assess and differentiate benign malignant cardiac tumors. However, few tumors can be characterized by increased uptake, which makes differential diagnosis difficult. This study sought retrospectively evaluate whether combined with thoracic contrast-enhanced CT (CECT) helps in assessing primary adult patients, compared CECT or alone. Forty-six consecutive patients who were diagnosed as enrolled. All underwent followed before...
The aim of the present study was to analyze differences in imaging and clinical features between primary pulmonary lymphoma (PPL) secondary (SPL) provide insight into for an improved diagnosis. A retrospective 38 patients with (19 PPL 19 SPL) treated September 1, 2006, December 31, 2015, performed. manifestations, computed tomography (CT) positron emission tomography-CT images each case were collected. χ2 Fisher's exact tests applied assess statistically significant SPL terms features....
Abstract Background: Urothelial cancer (UCC) is the 4th most common malignancy in men. The current clinical problem UCC management high interobserver variability of tissue grading and low sensitivity urine cytology for early detection recurrences progression. We hypothesize that assessing samples tissues with detailed quantitative image analysis based on artificial intelligence has strong potential both urine-based tumor recurrence progression as well tissue-based pathological grading....