Preoperative knowledge of mutational status gastrointestinal stromal tumors (GISTs) is essential to guide the individualized precision therapy. This study aims establish a radiomic model for predicting gastric GISTs with KIT exon 11 mutations. A total 231 GIST patients definitive genetic phenotype were categorized into training data set and validation ratio 7:3. Conventional CT features radiomi...

Hybrid PET/MR imaging is in early development for treatment planning. This article briefly reviews research and clinical applications of PET/MR imaging in radiation oncology. With improvements in workflow, more specific tracers, and fast and robust acquisition protocols, PET/MR imaging will play an increasingly important role in better target delineation for treatment planning and have clear ad...

BACKGROUND Prostate cancer is the most common form of cancer and the second leading cause of cancer death in North America. Auto-detection of prostate cancer can play a major role in early detection of prostate cancer, which has a significant impact on patient survival rates. While multi-parametric magnetic resonance imaging (MP-MRI) has shown promise in diagnosis of prostate cancer, the existi...

The aim of this systematic review was to evaluate the state art radiomics in testicular imaging by assessing quality radiomic workflow using Radiomics Quality Score (RQS) and Assessment Diagnostic Accuracy Studies-2 (QUADAS-2). A literature search performed find potentially relevant articles on applications imaging, 6 final were extracted. mean RQS 11,33 ± 3,88 resulting a percentage 31,48% 10,...

PurposeBrain metastasis (BM) is the primary first failure pattern in patients with curatively resected locally advanced non-small cell lung cancer (LA-NSCLC). It not yet possible to accurately predict occurrence of BM. The purpose research develop and validate a prediction model BM-free survival based on radiomics characterising lesions combined clinical characteristics LA-NSCLC.MethodsThis stu...

Abstract PURPOSE/OBJECTIVE(S) To distinguish radionecrosis (RN) from true progression (TP) in brain metastases treated with stereotactic radiosurgery (SRS), we apply machine learning to create a multi-domain model that incorporates clinical factors, multiparametric radiomics(mpRads), and tumor connectomics, novel MRI-based complex graph theory framework describes the intricate network of relati...

This review outlines current trends in applying texture analysis for the treatment of patients with renal parenchyma tumor. The prospects using radiomics diagnosis and cell carcinoma are presented.