A5101738795- Radiomics and Machine Learning in Medical Imaging
- Sarcoma Diagnosis and Treatment
- Bone Tumor Diagnosis and Treatments
- Lung Cancer Diagnosis and Treatment
- Gastrointestinal Tumor Research and Treatment
- Bladder and Urothelial Cancer Treatments
- Lung Cancer Treatments and Mutations
- Medical Imaging and Pathology Studies
- Lung Cancer Research Studies
- HER2/EGFR in Cancer Research
- Colorectal Cancer Screening and Detection
- Colorectal and Anal Carcinomas
- Pancreatic and Hepatic Oncology Research
- Urinary and Genital Oncology Studies
- Cancer Immunotherapy and Biomarkers
- Gastric Cancer Management and Outcomes
- MRI in cancer diagnosis
- Renal cell carcinoma treatment
- Soft tissue tumor case studies
- Cell Adhesion Molecules Research
- Oral and Maxillofacial Pathology
- PI3K/AKT/mTOR signaling in cancer
- Neuroendocrine Tumor Research Advances
- Soft tissue tumors and treatment
- Advanced X-ray and CT Imaging
Qingdao University
2016-2025
Affiliated Hospital of Qingdao University
2016-2025
Weatherford College
2024
Tongji Hospital
2023
Huazhong University of Science and Technology
2023
Shanxi Academy of Medical Sciences
2023
Shanxi Medical University
2023
Qilu Hospital of Shandong University
2023
Shandong University
2018-2021
Background Preoperative differentiation between malignant and benign soft‐tissue masses is important for treatment decisions. Purpose/Hypothesis To construct/validate a radiomics‐based machine method masses. Study Type Retrospective. Population In all, 206 cases. Field Strength/Sequence The T 1 sequence was acquired with the following range of parameters: relaxation time / echo (TR/TE), 352–550/2.75–19 msec. 2 TR/TE, 700–6370/40–120 data were divided into 3.0T training cohort, 1.5T MR...
Preoperative prediction of soft tissue sarcoma (STS) grade is important for treatment decisions. Therefore, formulation an STS model strongly needed.To develop and test magnetic resonance imaging (MRI)-based radiomics nomogram predicting the (low-grade vs. high grade).Retrospective POPULATION: One hundred eighty patients with confirmed by pathologic results at two independent institutions were enrolled (training set, N = 109; external validation 71).Unenhanced T1-weighted (T1WI)...
OBJECTIVE. The purpose of this study was to assess the value radiomics features for differentiating soft tissue sarcomas (STSs) different histopathologic grades. MATERIALS AND METHODS. T1-weighted and fat-suppressed T2-weighted MR images 70 STSs varying grades (35 low-grade [grades 1 2], 35 high-grade [grade 3]) formed primary dataset used train multiple machine learning algorithms construction models assigning STS grade. were tested with a separate validation dataset. RESULTS. Different had...
Abstract Background We sought to evaluate the performance of a computed tomography (CT)-based radiomics nomogram we devised in distinguishing benign from malignant bone tumours. Methods Two hundred and six patients with tumours were spilt into two groups: training set ( n = 155) validation 51). A feature extraction process based on 3D Slicer software was used extract features unenhanced CT images, least absolute shrinkage selection operator logistic regression calculate radiomic score...
To construct and assess a deep learning (DL) signature that employs computed tomography imaging to predict the expression status of programmed cell death ligand 1 in patients with bladder cancer (BCa). This retrospective study included 190 from two hospitals who underwent surgical removal BCa (training set/external validation set, 127/63). We used convolutional neural network radiomics machine technology generate prediction models. then compared performance DL selected optimal build nomogram...
Most common ovarian cancers are epithelial carcinoma in which the etiology for carcinogenesis remains elusive. ANO1/TMEM16A, a member of Ca2+ -activated Cl- channels (CaCCs), has been demonstrated to promote epithelium-originated and whether it plays role pathogenesis cancer is unknown. In our study we found that ANO1 proteins were overexpressed human cells tissue samples. protein upregulation was correlated with clinical FIGO (International Federation Gynecology Obstetrics) staging poor...
Accurate stratification of recurrence risk for bladder cancer (BCa) is essential precise individualized therapy. This study aimed to develop and validate a model predicting the in BCa patients postoperatively using 3-phase enhanced CT images.We retrospectively enrolled 874 across four centers between January 2006 December 2021. Patients from one center were used as training set, while remaining went into validation set. We trained deep learning (DL) based on convolutional neural networks...
Abstract Background To construct and assess a computed tomography (CT)-based deep learning radiomics nomogram (DLRN) for predicting the pathological grade of bladder cancer (BCa) preoperatively. Methods We retrospectively enrolled 688 patients with BCa (469 in training cohort, 219 external test cohort) who underwent surgical resection. extracted handcrafted (HCR) features (DL) from three-phase CT images (including corticomedullary-phase [C-phase], nephrographic-phase [N-phase]...
To build and evaluate a deep learning radiomics nomogram (DLRN) for preoperative prediction of lung metastasis (LM) status in patients with soft tissue sarcoma (STS).In total, 242 STS (training set, n=116; external validation n=126) who underwent magnetic resonance imaging were retrospectively enrolled this study. We identified independent predictors LM-status evaluated their performance. The minimum redundancy maximum relevance (mRMR) method least absolute shrinkage selection operator...
Abstract Background Whether programmed cell death-1/ligand-1 (PD-1/PD-L1) blockade-based neoadjuvant treatment may benefit locally advanced oncogene-mutant non–small lung cancer (NSCLC) patients remains controversial. This retrospective study was designed to observe the efficacy and safety of PD-1/PD-L1 blockade plus chemotherapy versus corresponding tyrosine kinase inhibitors (TKIs) in with resectable oncogene-positive NSCLC. Methods Patients potential NSCLC harbouring oncogene alterations...
Transmembrane protease serine 4 (TMPRSS4) is a novel type II transmembrane that overexpressed in various types of human cancers and has an important function cancer progression. However, there paucity data available regarding the biological effects TMPRSS4 on breast (BC) cells underlying mechanisms. In this study, expression BC tissues was detected by immunohistochemistry. The relationship between clinicopathological characteristics as well prognosis evaluated. cell proliferation, migration...
Gastric cancer is the second most common cause of cancer-related mortality; thus, mechanisms underlying tumor metastasis and growth in gastric need to be extensively explored. Differentially expressed genes were examined samples with lymph node (LNM) without LNM using mRNA microarray RT-qPCR. The effects G antigen 7B (GAGE7B) on metastasis, growth, angiogenesis investigated vitro vivo. GAGE7B protein expression was detected by immunohistochemical (IHC) analysis. Microarray, RT-qPCR, western...
To characterize and evaluate the MR imaging features of early myositis ossificans (MO) without calcification or ossification.The MRI manifestations seven patients with pathologically proven MO were retrospectively analyzed regard to tumor location, size, margins, signal intensity, enhancement appearance in images. Additionally, surrounding soft-tissue edema adjacent bone change assessed.All cases (n=7) had intramuscular tumor-like masses calcifications. The lesions appeared as isointense...
The aim of this study was to investigate the magnetic resonance (MR) features alveolar soft-part sarcoma (ASPS).We studied 12 patients with ASPS confirmed by pathology in retrospective study. MR were analyzed, especially for location, morphology, signals, and related enhanced tumor vessels.Flow voids shown central part on T2-weighted imaging (T2WI) all patients; they arrayed a radiating mode gathered toward center (8 cases), designated us as vascular center-gathered syndrome (VCGS), or...
Tumor spread through air spaces (STAS) is a novel pathologic characteristic in lung adenocarcinomas that indicates invasive tumor behavior. We aimed to explore the relationship between Twist, Slug and STAS adenocarcinoma investigate potential epithelial-mesenchymal transition (EMT) STAS.Our study retrospectively analyzed 115 patients with resected evaluate STAS. was diagnosed using hematoxylin-eosin (H&E) staining. Immunohistochemistry used expression levels of Twist.In this study, 56...
Renal oncocytoma (RO) and chromophobe renal cell carcinoma (chRCC) have a common cellular origin different clinical management prognosis.To explore the utility of computed tomography (CT) in differentiation RO chRCC.Twenty-five patients with 73 chRCC presenting central scar were included retrospectively. Two experienced radiologists independently reviewed CT imaging features, including location, tumor size, relative density ratio, segmental enhancement inversion (SEI), necrosis, perirenal...