A5037606784- Hepatocellular Carcinoma Treatment and Prognosis
- Radiomics and Machine Learning in Medical Imaging
- Cancer Genomics and Diagnostics
- Pancreatic and Hepatic Oncology Research
- Liver physiology and pathology
- Liver Disease Diagnosis and Treatment
- Colorectal Cancer Treatments and Studies
- Cancer Research and Treatments
- Esophageal Cancer Research and Treatment
- Cancer, Lipids, and Metabolism
- Gastric Cancer Management and Outcomes
- Cancer Mechanisms and Therapy
- Neuroendocrine Tumor Research Advances
- MRI in cancer diagnosis
- Esophageal and GI Pathology
- Lung Cancer Diagnosis and Treatment
- Head and Neck Cancer Studies
- Endometrial and Cervical Cancer Treatments
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Cancer-related molecular mechanisms research
- COVID-19 diagnosis using AI
- Renal cell carcinoma treatment
- Advanced X-ray and CT Imaging
- Viral-associated cancers and disorders
- Sepsis Diagnosis and Treatment
Sun Yat-sen University
2014-2025
Sun Yat-sen University Cancer Center
2014-2025
State Key Laboratory of Oncology in South China
2014-2025
Technical University of Munich
2024
Peking Union Medical College Hospital
2015-2023
Chinese Academy of Medical Sciences & Peking Union Medical College
2015-2023
South China Normal University
2021
Ministry of Education of the People's Republic of China
2021
Sorafenib is the first-line treatment for hepatocellular carcinoma with portal vein invasion; however, it has shown unsatisfactory survival benefit. plus hepatic arterial infusion chemotherapy (HAIC) of oxaliplatin, fluorouracil, and leucovorin (FOLFOX) promising results these patients in a previous phase 2 study.To investigate efficacy safety sorafenib HAIC compared invasion.This randomized, open-label clinical trial enrolled 818 screened patients. Of participants, 247 invasion were...
We attempted to train and validate a model of deep learning for the preoperative prediction response patients with intermediate-stage hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE).All computed tomography (CT) images were acquired 562 from Nan Fang Hospital (NFH), 89 Zhu Hai Affiliated Jinan University (ZHHAJU), 138 Sun Yat-sen Cancer Center (SYUCC). built predictive outputs using transfer techniques residual convolutional neural network (ResNet50). The...
Camrelizumab is an antibody against programmed death protein 1. We assessed the activity and safety of camrelizumab plus apatinib, a tyrosine kinase inhibitor vascular endothelial growth factor receptor-2, in patients with advanced cervical cancer.
Introduction: The pathological grading of pancreatic neuroendocrine neoplasms (pNENs) is an independent predictor survival and indicator for treatment. Deep learning (DL) with a convolutional neural network (CNN) may improve the preoperative prediction pNEN grading. Methods: Ninety-three patients contrast-enhanced computed tomography (CECT) from Hospital I were retrospectively enrolled. A CNN-based DL algorithm was applied to CECT images obtain 3 models (arterial, venous, arterial/venous...
Abstract This randomized phase II trial aims to compare the efficacy and safety of induction chemotherapy followed by definitive chemoradiotherapy (CRT) versus CRT alone in patients with esophageal squamous cell carcinoma (ESCC) unsuitable for surgery ( N = 110). The primary outcome was overall response rate (ORR), whereas secondary survival. did not meet pre-specified endpoints. ORR 74.5% group 61.8% P 0.152). 3-year survival 41.8% 38.1% 0.584; hazard ratio, 0.88; 95% CI, 0.54–1.41). Grade...
The CT/MRI Liver Imaging Reporting and Data System (LI-RADS) demonstrates high specificity with relatively limited sensitivity for diagnosing hepatocellular carcinoma (HCC) in high-risk patients. This study aimed to explore the possibility of improving by combining LI-RADS v2018 second-line contrast-enhanced ultrasound (CEUS) v2017 using sulfur hexafluoride (SHF) or perfluorobutane (PFB). retrospective analysis prospectively collected multicenter data included patients treatment-naive...
To investigate the efficacy, safety, and biomarkers of systemic chemotherapy with oxaliplatin, leucovorin, 5-fluorouracil (FOLFOX) in combination lenvatinib toripalimab as first-line treatment for advanced hepatocellular carcinoma (HCC) extrahepatic metastasis.
Current clinical practice or radiomics studies of pancreatic neuroendocrine neoplasms (pNENs) require manual delineation the lesions in computed tomography (CT) images, which is time-consuming and subjective. We used a semi-automatic deep learning (DL) method for segmentation pNENs verified its feasibility analysis. This retrospective study included two datasets: Dataset 1, contrast-enhanced CT images (CECT) 80 18 patients respectively collected from centers; 2, CECT 56 16 centers. A...
Background: To establish and validate a prediction model for pancreatic neuroendocrine neoplasms (pNENs) recurrence after radical surgery with preoperative computed tomography (CT) images.Methods: We retrospectively collected data from 74 patients pathologically confirmed pNENs (internal group: 56 patients, Hospital I; external validation 18 II). Using the internal group, models were trained CT findings evaluated by radiologists, radiomics, deep learning radiomics (DLR) to predict 5-year...
Stereotactic body radiotherapy (SBRT) has shown promising results in the control of macroscopic vascular invasion patients with hepatocellular carcinoma (HCC); however, its efficacy comparison to sorafenib when combined transarterial chemoembolization (TACE) remains be determined. Between 2009 and 2017, 77 HCC receiving TACE–SBRT or TACE–sorafenib combination therapies were enrolled. The best treatment responses, overall survival (OS), progression-free (PFS) two arms compared. Of enrolled,...
Sorafenib is the standard systemic treatment for patients with advanced hepatocellular carcinoma (HCC); however, its therapeutic value in HCC following resection remains controversial. The current retrospective study was undertaken to assess effects of sorafenib surgical disease who were at a high risk recurrence. Between July 2010 and 2013, consecutive cohort 42 recurrence (i.e., those portal vein tumor thrombosis, adjacent organ involvement or rupture) underwent analyzed. categorized into...
Follicular Dendritic Cell Sarcomas: CT and MRI Findings in 20 PatientsSiyue Mao, MD1, Jun Dong, MD2, Yiqi Wang, Chao Zhang, MD3, Annan MD1 Jingxian Shen, MD1Audio Available | Share
Previously proposed modifications to LI-RADS criteria for contrast-enhanced ultrasound (CEUS) performed using perfluorobutane contrast agent yielded increased sensitivity hepatocellular carcinoma (HCC) without a significant decrease in specificity.
The co-occurrence of type 1 autoimmune pancreatitis (AIP) and pancreatic tumor (PaT) has been previously reported. Pure AIP cases have favorable prognosis are primarily treated with steroids, while PaT associated poor where the primary management is resection. However, it's a challenge to timely identify concurrent in because their similar clinical radiological manifestations.We retrospectively reviewed data two medical centers from January 2010 April 2019. inclusion criteria were as...
Abstract Background Vascular endothelial growth factor (VEGF)-targeted therapy is effective in patients with ovarian cancer. Whether adipose tissue (AT) could predict the efficacy of VEGF receptor (VEGFR) inhibitors cancer unknown. We aimed to evaluate ability distinct AT depots apatinib, a VEGFR inhibitor, recurrent cancers included AEROC trial. Methods The was single-arm phase 2 trial apatinib and oral etoposide platinum-resistant or platinum-refractory Apatinib administered continuously,...
Abstract Background Data collected from hospitals are usually partially annotated by radiologists due to time constraints. Developing and evaluating deep learning models on these data may result in over or under estimation Purpose We aimed quantitatively investigate how the percentage of lesions CT images will influence performance universal lesion detection (ULD) algorithms. Methods trained a multi‐view feature pyramid network with position‐aware attention (MVP‐Net) perform ULD. Three...
Differential diagnosis of tumors is important for computer-aided diagnosis. In systems, expert knowledge lesion segmentation masks limited as it only used during preprocessing or supervision to guide feature extraction. To improve the utilization masks, this study proposes a simple and effective multitask learning network that improves medical image classification using self-predicted guiding knowledge; we call RS 2-net. 2-net, predicted probability map obtained from initial inference added...