Publications by authors named "J Arevalo-Perez"
Article Synopsis
- Reliable AI in medical diagnoses requires effective uncertainty quantification (UQ), but current methods can be impractical for clinical use.
- The proposed UQ approach utilizes deep neuroevolution (DNE) to efficiently create an ensemble of accurate models, particularly analyzing language lateralization maps from rs-fMRI scans.
- Results show that DNE-based UQ aligns well with expert assessments, indicating its potential reliability for identifying uncertainties in medical imaging, especially with out-of-distribution data.
Distinguishing treatment-induced imaging changes from progressive disease has important implications for avoiding inappropriate discontinuation of a treatment. Our goal in this study is to evaluate the utility of dynamic contrast-enhanced (DCE) perfusion MRI as a biomarker for the early detection of progression. We hypothesize that DCE-MRI may have the potential as an early predictor for the progression of disease in GBM patients when compared to the current standard of conventional MRI.
View Article and Find Full Text PDFBackground And Purpose: The aim of this study was to determine the diagnostic value of fractional plasma volume derived from dynamic contrast-enhanced perfusion MR imaging versus ADC, obtained from DWI in differentiating between grade 2 (low-grade) and grade 3 (high-grade) intracranial ependymomas.
Materials And Methods: A hospital database was created for the period from January 2013 through June 2022, including patients with histologically-proved ependymoma diagnosis with available dynamic contrast-enhanced MR imaging. Both dynamic contrast-enhanced perfusion and DWI were performed on each patient using 1.
Background And Purpose: Current imaging techniques have difficulty differentiating treatment success and failure in spinal metastases undergoing radiation therapy. This study investigated the correlation between changes in dynamic contrast-enhanced MR imaging perfusion parameters and clinical outcomes following radiation therapy for spinal metastases. We hypothesized that perfusion parameters will outperform traditional size measurements in discriminating treatment success and failure.
View Article and Find Full Text PDFArticle Synopsis
- Dynamic contrast-enhanced MRI (DCE-MRI) is being used to study vertebral body tumors, but the delayed contrast flow in the spine can lead to incorrect diagnoses of malignancies due to miscalculations in analyses.
- Researchers adjusted the arterial input function (AIF) curve to compensate for this delay, hypothesizing that this would improve the accuracy of blood volume measurements (V) in vertebral lesions.
- In a study of 18 patients with confirmed spinal metastases, adjustments to the AIF curve resulted in significantly higher V values, indicating that refining the DCE-MRI analysis can enhance the detection of active metastases.