A5001973875- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- MRI in cancer diagnosis
- Photoacoustic and Ultrasonic Imaging
- Pancreatic and Hepatic Oncology Research
- Cancer-related cognitive impairment studies
- Head and Neck Cancer Studies
- Acupuncture Treatment Research Studies
- Radiopharmaceutical Chemistry and Applications
- Medical Imaging and Pathology Studies
- Functional Brain Connectivity Studies
- Dementia and Cognitive Impairment Research
Chongqing Cancer Hospital
2014-2023
Chongqing University
2020-2023
Objectives To explore the predictive value of MRI-based radiomics model for progression-free survival (PFS) in non-metastatic nasopharyngeal carcinoma (NPC). Methods 327 NPC patients (training cohort (n=230) and validation (n=97)) were enrolled. The clinical MRI data collected. least absolute shrinkage selection operator (LASSO) recursive feature elimination (RFE) used to select features. Five models (Model 1: data, Model 2: overall stage, 3: radiomics, 4: + 5: stage +EBV DNA) constructed....
Abstract Background Estrogen receptor (ER), progesterone (PR), human epidermal growth factor 2 (HER2) and Ki67 are the most useful immunohistochemical biomarkers of invasive breast cancer. The purpose this study is to investigate possibility quantitative parameters derived from dual-energy CT (DECT) discriminate Methods This prospective enrolled 120 patients with cancer who underwent preoperative contrast-enhanced DECT for staging purposes June 2019 January 2020. parameters, including...
Dual-energy computed tomography (DECT) is widely used to characterize and differentiate tumors. However, data regarding its diagnostic performance for the characterization of breast tumors are limited. In this study, we assessed quantitative parameters derived from DECT in differentiating benign malignant lesions predicting histopathological molecular subtypes patients with cancer.Dual-phase contrast-enhanced thorax was performed on participants Conventional CT attenuation parameters,...
To objectively and subjectively assess compare the characteristics of monoenergetic images [MEI (+)] polyenergetic (PEI) acquired by dual-energy CT (DECT) patients with breast cancer.This retrospective study evaluated data 42 cancer who had undergone dual-phase contrast-enhanced DECT from June to September 2019. One standard PEI, five MEI (+) in 10-kiloelectron volt (keV) intervals (range, 40-80 keV), iodine density (ID) maps, overlay images, Z effective (Zeff) maps were reconstructed. The...
Abstract Breast cancer (BC) patients who undergo chemotherapy are likely to develop chemotherapy‐related cognitive impairment (CRCI). Recent studies of BC after have used graph theory investigate the topological properties brain functional connectome. However, little is known about structural morphological networks in early neoadjuvant (NAC). Brain network organization 47 female participants with was investigated before and NAC. Topological were ascertained based on similarities regional...
The number of metastatic axillary lymph nodes (ALNs) play a crucial role in the staging, prognosis and therapy patients with breast cancer.To predict ALNs cancer via radiomics.We enrolled 197 who underwent dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). A total 3386 radiomic features were extracted from early- delayed-phase subtraction images. To classify ALNs, logistic regression was used to develop signature nomogram.The constructed distinguish N0 group N+ (metastatic ≥ 1)...