A5027341625- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Hepatocellular Carcinoma Treatment and Prognosis
- Advanced MRI Techniques and Applications
- Renal cell carcinoma treatment
- Adrenal and Paraganglionic Tumors
- Advanced X-ray and CT Imaging
- Hormonal Regulation and Hypertension
- Optical measurement and interference techniques
- Surface Roughness and Optical Measurements
- Advanced Measurement and Metrology Techniques
- Cerebrovascular and Carotid Artery Diseases
- Thyroid Cancer Diagnosis and Treatment
- Cancer, Hypoxia, and Metabolism
- Vitamin D Research Studies
- Optical Imaging and Spectroscopy Techniques
- Adrenal Hormones and Disorders
- Electrospun Nanofibers in Biomedical Applications
- Hydraulic Fracturing and Reservoir Analysis
- Thyroid and Parathyroid Surgery
- Inflammatory Biomarkers in Disease Prognosis
- Traditional Chinese Medicine Analysis
- Image and Object Detection Techniques
- Functional Brain Connectivity Studies
- Neuroendocrine Tumor Research Advances
Affiliated Hospital of Southwest Medical University
2025
Wenzhou Medical University
2021-2024
Nantong University
2024
Chongqing University
2024
Chongqing Cancer Hospital
2024
Chongqing University of Posts and Telecommunications
2021-2022
Nanjing Medical University
2021
China Medical University
2014-2019
Guangdong Medical College
2012
Background Vessels encapsulating tumor cluster (VETC) is a critical prognostic factor and therapeutic predictor of hepatocellular carcinoma (HCC). However, noninvasive evaluation VETC remains challenging. Purpose To develop validate deep learning radiomic (DLR) model dynamic contrast‐enhanced MRI (DCE‐MRI) for the preoperative discrimination prognosis HCC. Study type Retrospective. Population A total 221 patients with histologically confirmed HCC stratified this cohort into training set ( n...
Objective People with Hashimoto’s thyroiditis (HT) often have low vitamin D3 concentrations. Some research has suggested that supplementation reduces thyroid inflammation, but this remains controversial. Methods EAT was induced in female NOD/ShiLtJ mice by giving them water containing 0.05% sodium iodide, and 1μg/kg of 1α,25-(OH) 2 D 3 injected intraperitoneally every other day. After 8 weeks, the morphological architecture mouse follicles examined histological sections, autoantibodies...
It is difficult for radiologists to differentiate adrenal lipid-poor adenomas from non-adenomas; nevertheless, this differentiation important as the clinical interventions required are different and non-adenomas.To develop an unenhanced computed tomography (CT)-based radiomics model identifying assist in decision-making.Patients with lesions who underwent CT between January 2015 August 2021 were retrospectively recruited two independent institutions. Patients institution 1 randomly divided...
Arterial input function (AIF) plays an important role in the quantification of cerebral hemodynamics. The purpose this study was to select best reproducible clustering method for AIF detection by comparing three algorithms reported previously terms accuracy and computational complexity. First, methods, normalized cut (Ncut), hierarchy (HIER), fast affine propagation (FastAP), were applied independently simulated data which contained true AIF. Next, a clinical verification performed where 42...
The arterial input function (AIF) plays a crucial role in the quantification of cerebral perfusion parameters. traditional method for AIF detection is based on manual operation, which time-consuming and subjective. Two automatic methods have been reported that are two frequently used clustering algorithms: fuzzy c-means (FCM) K-means. However, it still not clear better detection. Hence, we compared performance these using both simulated clinical data. results demonstrate K-means analysis can...
Purpose To propose a new clustering method for the automatic detection of arterial input function (AIF) with high accuracy in dynamic susceptibility contrast‐magnetic resonance imaging (DSC‐MRI). Materials and Methods A novel automatically determining AIF was proposed to facilitate analysis MR perfusion, which relied on normalized cut (Ncut) clustering. Its performance compared those two other previously reported methods: k ‐means fuzzy c (FCM) techniques, terms computational time. Both...
Cetuximab is an effective antibody to treat colorectal cancer (CRC) by targeting the epidermal growth factor receptor (EGFR). However, mechanisms of acquired resistance cetuximab therapy, especially in patients without identifiable gene mutations, are not fully understood.Our study investigated role pumilio RNA-binding family member 1 (PUM1) resistance. We established cetuximab-resistant colon cell lines SW480R and Caco-2R knocked out PUM1 DEAD-box helicase 5 (DDX5) with clustered regularly...
During dynamic susceptibility contrast-magnetic resonance imaging (DSC-MRI), it has been demonstrated that the arterial input function (AIF) can be obtained using fuzzy c-means (FCM) and k-means clustering methods. However, due to dependence on initial centers of clusters, both methods have poor reproducibility between calculation recalculation steps. To address this problem, present study developed an alternative technique based agglomerative hierarchy (AH) method for AIF determination. The...
Traditional subjective method for the analysis of time-intensity curves (TICs) from breast dynamic contrast enhanced MRI (DCE-MRI) presented a low specificity. Hence, semi-automatic quantitative was proposed and evaluated distinguishing invasive ductal carcinomas benign lesions.In traditional method, lesion extracted by placing region interest (ROI) manually. The mean curve TICs ROI subjectively classified as one three patterns. Only parameter, value maximum slope increase (MSI), provided....
Purpose: To investigate the performance of a new semi-automatic method for analyzing signal time-intensity curve (TIC) obtained by breast dynamic contrast enhancement (DCE)-MRI.Methods: In conventional method, circular region interest was drawn manually onto map reflecting maximum slope increase (MSI) to delineate suspicious lesions.The mean TIC determined subjectively as one three different wash-out patterns.In lesion area identified semi-automatically.The categorized quantitatively.In...
Many patients have a higher risk of thyroid cancer if they both papillary carcinoma (PTC) and Type 2 diabetes mellitus (T2DM). Meanwhile, the primary reason for local PTC recurrence is cervical lymph node metastasis. Therefore, prognosis affects how nodes are managed during surgery. Due to surgical complications such as laryngeal nerve palsy hypocalcemia, it still debatable whether prevent central dissection (CLND). Predicting metastasis (CLNM) crucial direct CLND. It unclear important...
The aim of the current study was to develop a semi-automatic and quantitative method for analysis time-intensity curve (TIC) from breast dynamic contrast-enhanced magnetic resonance imaging. performance proposed method, based on level set segmentation algorithm, evaluated by comparison with traditional method. In lesion area is delineated manually corresponding mean TIC classified subjectively as one three washout patterns. addition, only parameter, maximum slope increase (MSI), calculated....
Treatment of leiomyomatosis peritonealis disseminata with goserelin acetate: A case report and review the literature
Residual tumor and central lymph node metastasis after thermal ablation of papillary thyroid carcinoma: A case report review literature