Publications by authors named "Marielena Rivas"
Article Synopsis
- The study aimed to find CT-based radiomic patterns related to CD8-T cell infiltration and PD-L1 expression in patients with clear-cell renal cell carcinoma (ccRCC).
- Researchers analyzed CT images of 78 patients with localized ccRCC, using machine learning techniques to create signatures for CD8-T cells and PD-L1.
- Results showed that CT-radiomic signatures can moderately accurately identify high CD8-T cell infiltration and more accurately detect PD-L1 expression in ccRCC tumors.
Objectives: To evaluate the utility of CT-based radiomics signatures in discriminating low-grade (grades 1-2) clear cell renal cell carcinomas (ccRCC) from high-grade (grades 3-4) and low TNM stage (stages I-II) ccRCC from high TNM stage (stages III-IV).
Methods: A total of 587 subjects (mean age 60.2 years ± 12.
Objectives: Using a radiomics framework to quantitatively analyze tumor shape and texture features in three dimensions, we tested its ability to objectively and robustly distinguish between benign and malignant renal masses. We assessed the relative contributions of shape and texture metrics separately and together in the prediction model.
Materials And Methods: Computed tomography (CT) images of 735 patients with 539 malignant and 196 benign masses were segmented in this retrospective study.
A systematic search was conducted to categorize targeted ultrasound contrast agents (UCAs) used in cancer-related angiogenesis detection. We identified 15 unique contrast agents from 2008 to March 2018. Most primary research articles studied UCAs targeted to vascular endothelial growth factor receptor or α β -integrin.
View Article and Find Full Text PDFObjective: To determine the intra-, inter- and test-retest variability of CT-based texture analysis (CTTA) metrics.
Materials And Methods: In this study, we conducted a series of CT imaging experiments using a texture phantom to evaluate the performance of a CTTA panel on routine abdominal imaging protocols. The phantom comprises of three different regions with various textures found in tumors.