نتایج جستجو برای: radiomic prediction mri
تعداد نتایج: 357714 فیلتر نتایج به سال:
OBJECTIVES To determine the added discriminative value of detailed quantitative characterization of background parenchymal enhancement in addition to the tumor itself on dynamic contrast-enhanced (DCE) MRI at 3.0 Tesla in identifying "triple-negative" breast cancers. MATERIALS AND METHODS In this Institutional Review Board-approved retrospective study, DCE-MRI of 84 women presenting 88 invasi...
Machine Learning Based Radiomic HPV Phenotyping of Oropharyngeal SCC : A Feasibility Study Using MRI
Reliability of tumor segmentation in glioblastoma: Impact on the robustness of MRI‐radiomic features
INTRODUCTION "Radiomics" extracts and mines a large number of medical imaging features in a non-invasive and cost-effective way. The underlying assumption of radiomics is that these imaging features quantify phenotypic characteristics of an entire tumor. In order to enhance applicability of radiomics in clinical oncology, highly accurate and reliable machine-learning approaches are required. In...
In addition to clinical factors (tumor and node stage) and treatment factors (equivalent radiotherapy dose and chemotherapy regimen), we assessed whether different performances of various tumor volume measurements help predict the pathological complete response (pCR) of locally advanced rectal cancer (LARC) after preoperative concurrent chemoradiotherapy (CCRT). A total of 122 patients with LAR...
PURPOSE Textural measures have been widely explored as imaging biomarkers in cancer. However, their robustness under dynamic range and spatial resolution changes in brain 3D magnetic resonance images (MRI) has not been assessed. The aim of this work was to study potential variations of textural measures due to changes in MRI protocols. MATERIALS AND METHODS Twenty patients harboring glioblast...
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