A5054303822- Hepatocellular Carcinoma Treatment and Prognosis
- Radiomics and Machine Learning in Medical Imaging
- Liver Disease Diagnosis and Treatment
- Renal cell carcinoma treatment
- Liver Disease and Transplantation
- Cholangiocarcinoma and Gallbladder Cancer Studies
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Glioma Diagnosis and Treatment
- Advanced Neuroimaging Techniques and Applications
- Lung Cancer Treatments and Mutations
- nanoparticles nucleation surface interactions
- Translation Studies and Practices
- Functional Brain Connectivity Studies
- Lung Cancer Diagnosis and Treatment
- Material Dynamics and Properties
- Digital Humanities and Scholarship
- Bone Tumor Diagnosis and Treatments
- Carbon and Quantum Dots Applications
- Sarcoma Diagnosis and Treatment
- Advanced Photocatalysis Techniques
- Brain Metastases and Treatment
- Acute Ischemic Stroke Management
- thermodynamics and calorimetric analyses
- Molecular Junctions and Nanostructures
Second Xiangya Hospital of Central South University
2005-2024
Central South University
2005-2024
Hunan University of Traditional Chinese Medicine
2017-2024
The University of Sydney
2024
Inner Mongolia Medical University
2022
Xiangya Hospital Central South University
2018-2021
Northwest A&F University
2020
University of Michigan–Ann Arbor
2013-2020
Heilongjiang University
2018-2020
University of Pennsylvania
2020
Previous studies have shown that MR imaging features can be used to predict survival and molecular profile of glioblastoma. However, no study a similar type has been performed on lower-grade gliomas (LGGs).Presurgical MRIs 165 patients with diffuse low- intermediate-grade (histological grades II III) were scored according the Visually Accessible Rembrandt Images (VASARI) annotations. Radiomic models using automated texture analysis VASARI built isocitrate dehydrogenase 1 (IDH1) mutation,...
Abstract There is considerable potential for integrating transarterial chemoembolization (TACE), programmed death-(ligand)1 (PD-[L]1) inhibitors, and molecular targeted treatments (MTT) in hepatocellular carcinoma (HCC). It necessary to investigate the therapeutic efficacy safety of TACE combined with PD-(L)1 inhibitors MTT real-world situations. In this nationwide, retrospective, cohort study, 826 HCC patients receiving either plus blockades (combination group, n = 376) or monotherapy...
(CB), used in traditional Chinese medicine, exhibits anti-tumor effects various cancer models. It also constitutes an integral component of a compound formulation known as Pien Tze Huang, which is indicated for the treatment liver cancer. However, its impact on tumor microenvironment, particularly tumor-associated macrophages (TAMs), not well understood.
The ultrasensitive differential scanning calorimetry is used to observe the glass transition in thin (1-400 nm) spin-cast films of polystyrene, poly (2-vinyl pyridine) and (methyl methacrylate) on a platinum surface. A pronounced observed even at thickness as small 1-3 nm. Using high heating (20-200 K/ms) cooling (1-2 K/ms region) rates which are typical for this technique, we do not appreciable dependence temperature over range from hundreds nanometers down 3 nm thick films. evolution...
Abstract Purpose: With increasing incidence of renal mass, it is important to make a pretreatment differentiation between benign mass and malignant tumor. We aimed develop deep learning model that distinguishes tumors from cell carcinoma (RCC) by applying residual convolutional neural network (ResNet) on routine MR imaging. Experimental Design: Preoperative images (T2-weighted T1-postcontrast sequences) 1,162 lesions definitely diagnosed pathology or imaging in multicenter cohort were...
To develop a deep learning model to classify primary bone tumors from preoperative radiographs and compare performance with radiologists. A total of 1356 patients (2899 images) histologically confirmed pre-operative were identified five institutions' pathology databases. Manual cropping was performed by radiologists label the lesions. Binary discriminatory capacity (benign versus not-benign malignant not-malignant) three-way classification intermediate malignant) our evaluated. The...
Diffusion tensor imaging studies in schizophrenia have demonstrated lower diffusion anisotropy within white matter that provides information about brain integrity. We examined whether is abnormal first-episode by using imaging. Twenty-one schizophrenic patients and healthy controls underwent scans analyzed a rigorous voxel-based approach. found fractional of the was than at cerebral peduncle, frontal regions, inferior temporal gyrus, medial parietal lobes, hippocampal insula, right anterior...
Abstract We evaluated whether the optimal selection of CT reconstruction settings enables construction a radiomics model to predict epidermal growth factor receptor (EGFR) mutation status in primary lung adenocarcinoma (LAC) using standard care images. Fifty-one patients (EGFR:wildtype = 23:28) with LACs clinical stage I/II/IIIA were included analysis. The segmented four conditions, two slice thicknesses (Thin: 1 mm; Thick: 5 mm) and convolution kernels (Sharp: B70f/B70s; Smooth:...
The equipment for an ultrasensitive, fast, thin-film differential scanning calorimetry [(TDSC) or nanocalorimetry] technique is described. calorimetric cell (∼0.30 cm2) operates by applying a short (∼10 ms) dc current pulse mA) to thin (∼50 nm) patterned metal strip, which supported SiNx membrane. calorimeter at high heating rates (15–200 K/ms) and very sensitive (30 pJ/K). design of the calorimeter, timing/synchronization methods, as well choice key components instrument are discussed....
Ultrasensitive, thin-film, differential scanning calorimetry is used to determine the glass-transition temperature of 3−400 nm thick, spin-cast films polystyrene, poly (2-vinyl pyridine), and (methyl methacrylate) on a platinum surface. The technique here modified characterize glass transition over time scale seconds rather than milliseconds. No appreciable dependence thickness observed entire range used. results are discussed in comparison with previous calorimetric measurements, characterized by
A MEMS sensor has been developed for use as a calorimetric cell in an ultra-sensitive, thin-film, differential scanning technique. The contains freestanding, thin (30 nm to 1000 nm), low-stress silicon nitride membrane with lateral dimensions of few millimeters. This membrane, along (50 nm) metallization layer, forms exceptionally small addenda. addenda creates very sensitive cell, able make heat capacity measurements nanometer-thick metal and polymer films. fabrication various design...
Background Pretreatment determination of renal cell carcinoma aggressiveness may help to guide clinical decision‐making. Purpose To evaluate the efficacy residual convolutional neural network using routine MRI in differentiating low‐grade (grade I–II) from high‐grade III–IV) stage I and II carcinoma. Study Type Retrospective. Population In all, 376 patients with 430 lesions 2008–2019 a multicenter cohort were acquired. The 353 Fuhrman‐graded carcinomas divided into training, validation, test...
Abstract Background To compare the efficacy and safety between conventional transarterial chemoembolization (cTACE) drug-eluting beads TACE (DEB-TACE) in patients with infiltrative hepatocellular carcinoma (iHCC). Methods A total of 89 iHCC who were treated either cTACE ( n = 33) or DEB-TACE 56) April 2013 September 2017 included this retrospective study. Patients situations that might have a poor outcome defined as advanced disease including Child-Pugh class B, bilobar lesions, tumor size...
The porous ultrathin g-C<sub>3</sub>N<sub>4</sub> nanosheets with strong adsorption capacity have been synthesized for the ultrasensitive fluorescence detection of 2,4,6-trinitrophenol in water by frequently neglected double-logarithmic Stern–Volmer equation.