A5074215835- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
- Cardiovascular Function and Risk Factors
- Thyroid Cancer Diagnosis and Treatment
- Birth, Development, and Health
- Cardiomyopathy and Myosin Studies
- Cardiovascular Health and Disease Prevention
- Lung Cancer Treatments and Mutations
- Cardiovascular Disease and Adiposity
- Extracellular vesicles in disease
- AI in cancer detection
- Autophagy in Disease and Therapy
- Atrial Fibrillation Management and Outcomes
- Radiation Dose and Imaging
- Phagocytosis and Immune Regulation
- Lung Cancer Diagnosis and Treatment
- Protein Tyrosine Phosphatases
- Cardiac Arrhythmias and Treatments
Guiyang Medical University
2022-2025
Dalian Medical University
2021-2024
Chongqing Medical University
2021-2024
Second Affiliated Hospital of Chongqing Medical University
2021-2024
This study aimed to explore the role of lactoferrin (LTF) in atherosclerosis (AS) and its possible mechanisms. Human left coronary artery tissues were collected divided into control (CON), heart disease (CHD) sudden death (SCD) groups. Pathologic changes (including plaque area, necrotic core, collagen fibers, foam cell content) observed. The LTF, P62, 4-hydroxynonenal (4-HNE) expression levels assessed. ApoE–/– AS mouse model was established. pathological related protein analyzed after...
This study aimed to explore the ability of combination model ultrasound radiomics score (Rad-score) and thyroid imaging, reporting data system by American College Radiology (ACR TI-RADS) in predicting benign malignant nodules (TNs). Up 286 features were extracted from images TNs. By using lowest probability classification error average correlation coefficients (POE + ACC) least absolute shrinkage selection operator (LASSO), we finally selected four establish Rad-score (Vertl-RLNonUni,...
This study aimed to explore the feasibility of ultrasound radiomics analysis before invasive coronary angiography (ICA) for evaluating severity artery disease (CAD) quantified by SYNTAX score (SS). included 105 carotid plaques from patients (64 low-SS patients, 41 intermediate-high-SS patients). The clinical characteristics and three-dimensional (3D-US) features ICA were assessed. Ultrasound images used analysis. Least absolute shrinkage selection operator (LASSO) regression, which generated...
Identifying cervical lymph node metastasis (LNM) in primary thyroid cancer preoperatively using ultrasound is challenging. Therefore, a non-invasive method needed to assess LNM accurately.To address this need, we developed the Primary Thyroid Cancer Lymph Node Metastasis Assessment System (PTC-MAS), transfer learning-based and B-mode images-based automatic assessment system for assessing cancer.The has two parts: YOLO Nodule Recognition (YOLOS) obtaining regions of interest (ROIs) nodules,...
To analyze the radiomic and clinical features extracted from 2D ultrasound images of thyroid tumors in patients with Hashimoto's thyroiditis (HT) combined papillary carcinoma (PTC) using machine learning (ML) models, to explore diagnostic performance method making preoperative noninvasive identification cervical lymph node metastasis (LNM).
目的: 探讨腹主动脉缩窄小鼠在向心衰发展的过程中心脏结构和功能的动态变化。方法: 健康雄性昆明小鼠,随机分为模型组、假手术组和对照组。模型组采用腹主动脉缩窄的方法制备慢性心力衰竭小鼠模型,假手术组只分离出腹主动脉但不结扎,对照组不做任何处理。模型组组内分为2周组、4周组、6周组和8周组,每组10只。观察各组小鼠行为学表现、心电图、超声心动图和心肌组织病理学的变化。结果: 模型组与对照组相比:模型组小鼠术后2周开始出现行为学改变并且仅有2周组小鼠出现IVSS降低(P＜0.05);术后4周开始出现病理性J波、EF降低(P＜0.05)、IVSD增加(P＜0.05)和心肌损伤;术后6周开始出现LVPWD和LVPWS增加(P＜0.05);术后8周开始出现LV mass corrected增加(P＜0.05)。各组小鼠心率、R幅值、T幅值、ST段、PR间期、QT间期、QTc等数据差异均无显著性。结论: 腹主动脉缩窄导致小鼠出现心衰的过程中出现了EF降低、室间隔肥厚、病理性J波、左室后壁肥厚以及左室质量增加等变化。.