A5008923915- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Neuroendocrine Tumor Research Advances
- Lung Cancer Research Studies
- Advanced X-ray and CT Imaging
- Esophageal Cancer Research and Treatment
- Hepatocellular Carcinoma Treatment and Prognosis
- Neuroblastoma Research and Treatments
- Gastric Cancer Management and Outcomes
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
- Brucella: diagnosis, epidemiology, treatment
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Renal cell carcinoma treatment
- Metastasis and carcinoma case studies
- Medical Imaging Techniques and Applications
- Pancreatic and Hepatic Oncology Research
- Esophageal and GI Pathology
- Diverticular Disease and Complications
- Metabolomics and Mass Spectrometry Studies
- Immunotherapy and Immune Responses
- Acute Myeloid Leukemia Research
- MRI in cancer diagnosis
- Cancer Genomics and Diagnostics
Chinese Academy of Agricultural Sciences
2025
Shandong Tumor Hospital
2025
Shandong First Medical University
2025
Pudong New Area People's Hospital
2025
Nantong University
2025
Inner Mongolia Medical University
2022-2025
Columbia University Irving Medical Center
2016-2024
Chongqing University
2002-2024
Xinqiao Hospital
2024
Memorial Sloan Kettering Cancer Center
2023-2024
Existing criteria to estimate the benefit of a therapy in patients with cancer rely almost exclusively on tumor size, an approach that was not designed survival and is challenged by unique properties immunotherapy. More accurate prediction treatment could enhance decisions.To validate, using radiomics machine learning, performance signature quantitative computed tomography (CT) imaging features for estimating overall (OS) advanced melanoma treated immunotherapy.This prognostic study used...
Background Pancreatic cancer remains an extremely malignant digestive tract tumor, posing a significant global public health burden. Patients with pancreatic cancer, once metastasis occurs, lose all hope of cure, and prognosis is poor. It important to investigate liver in depth, not just because it the most common form but also crucial for treatment planning assessment. This study aims delve into mechanisms metastasis, goal providing scientific groundwork development future methods drugs....
The genomic underpinnings of inherited lung cancer risk are poorly understood. This prospective study characterized the clinical phenotype patients and families with germline
We aimed to define a baseline radiomic signature associated with overall survival (OS) using computed tomography (CT) images obtained from patients NSCLC treated nivolumab or chemotherapy. The was developed in CheckMate-017, -026, and -063. Nivolumab-treated were pooled randomized training, calibration, validation sets 2:1:1 ratio. From CT images, volume of tumor lesions semiautomatically segmented, 38 variables depicting phenotype extracted. Association between the OS assessed...
OBJECTIVE. The purpose of this study is to develop and evaluate an unenhanced CT-based radiomics model predict brain metastasis (BM) in patients with category T1 lung adenocarcinoma. MATERIALS AND METHODS. A total 89 eligible adenocarcinoma were enrolled classified as BM (n = 35) or without 54). 1160 quantitative radiomic features extracted from CT images each patient. Three prediction models (the clinical model, the a hybrid [clinical plus radiomics] model) established. ROC AUC value...
Liver cancer has a high mortality rate. Chronic inflammation is one of the leading causes hepatocellular carcinoma. Recent studies suggested levels trimethylamine N-oxide (TMAO) may correlate with increased risk inflammatory-induced liver cancer. However, mechanisms by which TMAO promotes remain elusive. Here, we established model treating Hepa1-6 cells and Huh7 TNF-α. synergistically proliferation, migration invasion in presence We conducted bulk RNA-Seq TMAO-treated cell inflammatory...
We investigated the performance of multiple radiomics feature extractors/software on predicting epidermal growth factor receptor mutation status in 228 patients with non-small cell lung cancer from publicly available data sets The Cancer Imaging Archive. imaging and clinical were split into training (n = 105) validation cohorts 123). Two most cited open-source extractors, IBEX (1563 features) Pyradiomics (1319 features), our in-house software, Columbia Image Feature Extractor (CIFE) (1160...
Abstract Background Studies on robotic total gastrectomy (RTG) are currently limited. This study aimed to compare the intraoperative performance as well short‐ and long‐term outcomes of RTG laparoscopic (LTG). Methods A 969 patients underwent ( n = 161) or 636) between October 2014 2021. The two groups were matched 1:3 using propensity score matching (PSM) method. 147) 371) compared. Results After matching, estimated blood loss was lower (80.51 ± 68.77 vs. 89.89 66.12, p 0.008), number lymph...
Neurobrucellosis is the most morbid form in brucellosis disease. Metabolomics an emerging method which intends to explore global alterations of various metabolites samples. We aimed identify cerebrospinal fluid (CSF) as biomarkers that were potentially unique for neurobrucellosis. CSF samples from 25 neurobrucellosis patients and normal controls (uninfected with hydrocephalus) collected metabolite detection using liquid chromatography-mass spectrometry (LC-MS) approach. Inflammatory...
To evaluate the stress response during general anesthesia intubation using Safe Easy Endotracheal Kit-flexible (SEEKflex) with a video laryngoscope. From January to May 2023, 95 patients scheduled for elective surgery under were randomly assigned either traditional tube core group (n = 48) or SEEKflex-guided 47). Vital signs and first success rate recorded from pre-intubation 2 minutes post-intubation. The trial was registered Chinese Clinical Trial Registry (ChiCTR2200066808). incidence of...
Comprehensive functional annotation of the genome is crucial for elucidating molecular mechanisms underlying complex traits and diseases. Although has been partially completed in sheep, a systematic focused on reproductive tissues remains absent. In this study, we integrated 60 transcriptomic epigenomic datasets from five tissues. Using multi-omics approach, predicted 15 distinct chromatin states conducted thorough annotation. We established first regulatory element atlas sheep examined...
The discovery and structural elucidation of histone demethylases represent a groundbreaking advancement in the field epigenetics. Histone methylation, critical chromatin modification, was long regarded as irreversible until identification overturned this paradigm. In 2004, first demethylase, LSD1 (Lysine-Specific Demethylase 1), unveiled dynamic regulatory mechanisms governing methylation modifications. Subsequent JmjC domain-containing demethylase family further expanded diversity...
We aim to develop effective models for predicting postoperative distant metastasis oesophageal squamous cell carcinoma (OSCC) the purpose of guiding tailored therapy.We used data from two centres establish training (n=319) and validation (n=164) cohorts. All patients underwent curative surgical treatment. The clinicopathological features 23 immunomarkers detected by immunohistochemistry were involved variable selection. constructed eight support vector machine (SVM)-based nomograms...
Purpose New response patterns to anticancer drugs have led tumor size–based criteria shift also include density measurements. Choi criteria, for instance, categorize antiangiogenic therapy as a decrease in > 15% at the portal venous phase (PVP). We studied effect that PVP timing has on measurement of liver metastases (LM) from colorectal cancer (CRC). Methods Pretreatment computed tomography images 291 patients with LM-CRC CRYSTAL trial (Cetuximab Combined With Irinotecan First-Line...
To evaluate the multiple factors influencing survival of elderly patients with locally advanced gastric cancer (LAGC) and develop validate novel nomograms for predicting survival.The clinical features treated between 2000 2018 were collected collated from Surveillance, Epidemiology, End Results (SEER) database three medical centres in China, randomly divided into a training cohort (3494), internal validation (1497) external (841). Univariate multivariate analyses prognostic values performed...
Pancreatic cancer is a malignant tumor of the digestive system. It highly aggressive, easily metastasizes, and extremely difficult to treat. This study aimed analyze genes that might regulate pancreatic migration provide an essential basis for prognostic assessment individualized treatment. A CRISPR knockout library directed against 915 murine was transfected into TB 32047 cell line screen which gene loss promoted migration. Next-generation sequencing PinAPL.py- analysis performed identify...