Tumor Size Is Not Everything: Advancing Radiomics as a Precision Medicine Biomarker in Oncology Drug Development and Clinical Care

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Medical Imaging, Oncology, Life Sciences, Cell Biology, Immunology,
tumor size   precision medicine   radiomics   oncology   drug development   clinical care   multidisciplinary workshop  

In contemporary clinical oncology practice and drug development, the methods for evaluating tumor response are on the cusp of a revolution. Since the World Health Organization (WHO) proposed tumor response classification criteria for assessing the effectiveness of anti-cancer drugs in 1981, this field has undergone several improvements. Notably, th...

Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features from Multiparametric MRI Images

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurology, Medical Imaging, Oncology,
glioma grade   radiomics   intratumoral volumes   peritumoral volumes   multiparametric MRI   noninvasive  

“Prediction of Glioma Grades Based on Radiomic Features Inside and Outside Tumors Using Multiparametric MRI Images” Research Background Glioma is the most common primary brain tumor in the central nervous system, accounting for 80% of adult malignant brain tumors. In clinical practice, treatment decisions often require individualized adjustments ba...

Glioma Survival Analysis Empowered with Data Engineering—A Survey

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
glioma   survival prediction   genomics   radiomics   prognosis  

Survival Analysis of Glioblastoma Patients: An Overview Empowered by Data Engineering Introduction Glioblastoma is a type of tumor that occurs in glial cells and accounts for 26.7% of all primary brain and central nervous system tumors. Survival analysis of glioblastoma patients is a key task in clinical management due to the heterogeneity of the t...

Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer Using Multi-View Adaptive Weighted Graph Convolutional Networks

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Imaging, Oncology, Life Sciences, Immunology,
immunotherapy   non-small cell lung cancer   graph convolutional networks   multi-view   radiomics  

Research Report on Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer: A Study of Multi-View Adaptive Weighted Graph Convolutional Networks Background Introduction Lung cancer is a highly prevalent and poorly prognostic malignant tumor with a persistently high mortality rate. Among all lung cancer patients, Non-Small Cell Lung Cancer ...

Development and Validation of a Deep Learning Radiomics Model with Clinical-Radiological Characteristics for the Identification of Occult Peritoneal Metastases in Patients with Pancreatic Ductal Adenocarcinoma

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Medical Imaging, Oncology,
deep learning   radiomics   occult peritoneal metastases   pancreatic ductal adenocarcinoma   computed tomography  

Development and Validation of a Deep Learning Radiomics Model Combined with Clinical Radiological Features for Predicting Occult Peritoneal Metastasis in Patients with Pancreatic Ductal Adenocarcinoma Background Pancreatic ductal adenocarcinoma (PDAC) is an extremely lethal malignancy with a 5-year survival rate of approximately 11%. The poor progn...

Radiomics-based Prediction of Local Control in Patients with Brain Metastases Following Postoperative Stereotactic Radiotherapy

Information Science, Artificial Intelligence, Medicine, Neurology, Neurosurgery, Medical Imaging, Oncology,
radiomics   machine learning   local failure prediction   brain metastases   artificial intelligence  

Application of Radiomics in Predicting Local Control in Postoperative Stereotactic Radiotherapy for Brain Metastasis Patients Academic Background Brain Metastases (BMs) are the most common malignant brain tumors, far surpassing primary brain tumors like gliomas in incidence. Recent medical guidelines recommend surgical treatment for patients with s...