View clinical trials related to Predictive Cancer Model.
Filter by:Platinum-sensitive is an important basis for the treatment of recurrent epithelial ovarian cancer (EOC) without effective methods to predict.We aimed to develop and validate the EOC deep learning system to predict the platinum-sensitive of EOC patients through analysis of enhanced magnetic resonance imaging (MRI) images before initial treatment.Ninety-three EOC patients received platinum-based chemotherapy (>= 4 cycles) and debulking surgery from Sun Yat-sen Memorial Hospitalin China from January 2011 to January 2020 were enrolled. This deep-learning EOC signature achieved a high predictive power for platinum-sensitive, and the signature based on MRI whole volume is better than that on primary tumor area only.
The purpose of this study was to investigate whether the combined radiomic model based on radiomic features extracted from focus and perifocal area (5mm) can effectively improve prediction performance of distinguishing precancerous lesions from early-stage lung adenocarcinoma, which could assist clinical decision making for surgery indication. Besides, response and long term clinical benefit of immunotherapy of advanced NSCLC lung cancer patients could also be predicted by this strategy.
This is a cross-sectional study aimed at identifying factors which best predicts patients at high risk of colorectal cancer or colorectal adenomas and to develop a risk prediction model.
In the previous study, the investigator established a predictive model for non-sentinel lymph node involvement in early breast cancer (cT1-2cN0, 1-2 SLNs involvement). To validation the clinical value of the model, the investigator design a prospectively research using the model guiding for further axillary lymph node dissection in SLN-positve early breast cancer.
- discovery and validation of biomarker predicting gastric cancer chemotherapy response - Analysis for expression level of mRNA using Next generation sequencing in gastric cancer tissue by chemotherapy response - Analysis for expression level of miRNA using Next generation sequencing in gastric cancer tissue and blood by chemotherapy response - Validation of mRNA and miRNA using qRT-PCR in multiple independent cohort - Biological biomarkers-clinical factor combined prediction model of gastric cancer chemotherapy response