A5090363073- Radiomics and Machine Learning in Medical Imaging
- Renal cell carcinoma treatment
- Advanced X-ray and CT Imaging
- MRI in cancer diagnosis
- AI in cancer detection
- Medical Imaging Techniques and Applications
- Hernia repair and management
- Surgical Simulation and Training
- Bladder and Urothelial Cancer Treatments
- Radiation Dose and Imaging
- Prostate Cancer Diagnosis and Treatment
- Digital Radiography and Breast Imaging
- Renal and related cancers
- Medical Imaging and Analysis
- COVID-19 Clinical Research Studies
- COVID-19 diagnosis using AI
- Pancreatic and Hepatic Oncology Research
- COVID-19 and healthcare impacts
- Healthcare professionals’ stress and burnout
- Obesity, Physical Activity, Diet
- Pelvic and Acetabular Injuries
- Colorectal Cancer Surgical Treatments
- Minimally Invasive Surgical Techniques
- Advanced Radiotherapy Techniques
- Birth, Development, and Health
Gannan Medical University
2025
University of Southern California
2020-2024
University of California, Los Angeles
2024
Claremont Graduate University
2017-2024
Southern California University for Professional Studies
2023
Jiangxi University of Traditional Chinese Medicine
2023
Keck Hospital of USC
2023
Claremont Colleges
2020
Cornell University
2019
Abstract Predictors of the need for intensive care and mechanical ventilation can help healthcare systems in planning surge capacity COVID-19. We used socio-demographic data, clinical blood panel profile data at time initial presentation to develop machine learning algorithms predicting ventilation. Among considered, Random Forest classifier performed best with $$\text {AUC} = 0.80$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mtext>AUC</mml:mtext>...
Melatonin, also known as the pineal hormone, is secreted by gland and primarily regulates circadian rhythms. Additionally, it possesses immunomodulatory properties anticancer effects. However, its specific mechanism in hepatocellular carcinoma (HCC) remains unclear, particularly regarding effect on HCC-mediated immune escape through PD-L1 expression.In this study, vitro experiments were conducted using Huh7 HepG2 HCC cells. Melatonin treatment was applied to both cell types observe changes...
Abstract Objectives To evaluate the performance of machine learning–augmented MRI-based radiomics models for predicting response to neoadjuvant chemotherapy (NAC) in soft tissue sarcomas. Methods Forty-four subjects were identified retrospectively from patients who received NAC at our institution pathologically proven Only had both a baseline MRI prior initiating and post-treatment scan least 2 months after surgical resection included. 3D ROIs used delineate whole-tumor volumes on pre-...
During robotic surgeries, kinematic metrics objectively quantify surgeon performance.To determine whether clinical factors confound the ability of performance to anticipate urinary continence recovery after robot-assisted radical prostatectomies (RARPs).Clinical data (patient characteristics, recovery, and treatment factors) from RARPs performed between July 2016 November 2018 were prospectively collected. Surgeon included 40 automated (APMs) derived robot systems (instrument kinematics...
Pseudocirrhosis is a poorly understood acquired morphologic change of the liver that occurs in setting metastatic malignancy and radiographically resembles cirrhosis. has been primarily described breast carcinoma, with few case reports arising from other primary malignancies. We present 29 cases pseudocirrhosis, including several malignancies not previously described. Radiologic, clinical, demographic, biomedical data were collected retrospectively analyzed. compared clinical radiologic...
Abstract Objective The objective of this study was to evaluate the robustness and reproducibility computed tomography‐based texture analysis (CTTA) metrics extracted from CT images a customized phantom built for assessing association three‐dimensional (3D) printed progressively increasing textural heterogeneity. Materials Methods A custom‐built 3D‐printed comprising six patterns used radiomics panel under variety routine abdominal imaging protocols. scanned on four scanners (Philips, Canon,...
Objectives For optimal utilization of healthcare resources, there is a critical need for early identification COVID-19 patients at risk poor prognosis as defined by the intensive unit care and mechanical ventilation. We tested feasibility chest X-ray (CXR)-based radiomics metrics to develop machine-learning algorithms predicting with outcomes. Methods In this Institutional Review Board (IRB) approved, Health Insurance Portability Accountability Act (HIPAA) compliant, retrospective study, we...
To create a suturing skills assessment tool that comprehensively defines criteria around relevant sub-skills of and to confirm its validity.
Ischemic stroke is a difficult-to-treat brain disease that may be attributed to limited therapeutic time window and lack of effective clinical drugs. Nasal-brain administration characterized by low systemic toxicity direct non-invasive targeting route. Preliminary studies have shown the volatile oil Chaxiong (VOC) has an obvious anti-ischemic effect. In this work, we designed nanoemulsion thermosensitive in situ gel (VOC-NE-ISG) loaded with for ischemia via intranasal delivery rat treatment...
Evaluation of surgical competency has important implications for training new surgeons, accreditation, and improving patient outcomes. A method to specifically evaluate dissection performance does not yet exist. This project aimed design a tool assess quality.Delphi was used validate structure content the evaluation. multi-institutional multi-disciplinary panel 14 expert surgeons systematically evaluated each element tool. Ten blinded reviewers 46 de-identified videos pelvic lymph node...
Meloxicam (MLX) is one of the most effective NSAIDs, but its poor water solubility and low bioavailability limit clinical application. In this study, we designed a thermosensitive in situ gel hydroxypropyl-β-cyclodextrin inclusion complex (MLX/HP-β-CD-ISG) for rectal delivery to improve bioavailability. The best method preparing MLX/HP-β-CD was saturated aqueous solution method. optimal prescription optimized using an orthogonal test, evaluated via PXRD, SEM, FTIR DSC. Then, MLX/HP-β-CD-ISG...
Abstract Objective This study assesses the robustness of first‐order radiomic texture features namely interquartile range (IQR), coefficient variation (CV) and standard deviation (SD) derived from computed tomography (CT) images by varying dose, reconstruction algorithms slice thickness using scans a uniform water phantom, commercial anthropomorphic liver human in‐vivo. Materials Methods Scans were acquired on 16 cm detector GE Revolution Apex Edition CT scanner with variations across three...
Abstract Objective This study identifies key characteristics to help build a physical liver computed tomography (CT) phantom for radiomics harmonization; particularly, the higher‐order texture metrics. Materials and methods CT scans of comprising 18 novel 3D printed inserts with varying size, shape, material combinations were acquired on 64‐slice scanner (Brilliance 64, Philips Healthcare). The images at 120 kV, 250 mAs, CTDIvol 16.36 mGy, 2 mm slice thickness, iterative noise‐reduction...
In this IRB approved retrospective study 41 women with biopsy-proven invasive breast cancers (IBC) were imaged using contrast-enhanced mammography (CEM), prior to any treatment. Size-matched regions of interest (ROIs) manually contoured by an experienced radiologist on the CEM capturing lesion and parenchymal enhancement (BPE), respectively. Radiomics analysis was performed LifEx software 109 radiomics metrics spanning 6 different texture families extracted from each ROI. Predictive models...