نتایج جستجو برای: glioblastoma multiform radiomics
تعداد نتایج: 27305 فیلتر نتایج به سال:
Lung cancer is the leading cause for cancer related deaths. As such, there is an urgent need for a streamlined process that can allow radiologists to provide diagnosis with greater efficiency and accuracy. A powerful tool to do this is radiomics: a high-dimension imaging feature set. In this study, we take the idea of radiomics one step further by introducing the concept of discovery radiomics ...
Abstract BACKGROUND Currently, most radiomics studies on survival prediction in brain tumor patients are based MRI only. The goal of our study was to evaluate multimodal derived from amino acid PET/MRI and clinical parameters for with newly diagnosed IDH wildtype glioblastoma. METHODS Sixty-three glioblastoma were evaluated retrospectively. At initial diagnosis, all underwent structural O-(2-[1...
PURPOSE To evaluate the usefulness of surrogate biomarkers as predictors of histopathologic tumor grade and aggressiveness using radiomics data from dual-energy computed tomography (DECT), with the ultimate goal of accomplishing stratification of early-stage lung adenocarcinoma for optimal treatment. RESULTS Pathologic grade was divided into grades 1, 2, and 3. Multinomial logistic regression...
In the past decade, the field of medical image analysis has grown exponentially, with an increased number of pattern recognition tools and an increase in data set sizes. These advances have facilitated the development of processes for high-throughput extraction of quantitative features that result in the conversion of images into mineable data and the subsequent analysis of these data for decis...
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