نتایج جستجو برای: radiomic prediction mri

تعداد نتایج: 357714  

Journal: :Neuro-oncology 2022

Abstract Background Clinical and laboratory markers have been exploited to model risk in patients with primary CNS lymphoma (PCNSL), but the derived models do not fully explain observed variation outcome. Here we present an extended framework of phenotype-epigenotype correlations that reveal novel prognostic constellations enable prioritizing epigenetic therapy. Material Methods In this retrosp...

Journal: :Electronics 2023

Aim: Machine learning (ML) and deep (DL) predictive models have been employed widely in clinical settings. Their potential support aid to the clinician of providing an objective measure that can be shared among different centers enables possibility building more robust multicentric studies. This study aimed propose a user-friendly low-cost tool for COVID-19 mortality prediction using both ML DL...

Journal: :Entropy 2015
Tuan D. Pham Taishi Abe Ryuichi Oka Yung-Fu Chen

Current brain-age prediction methods using magnetic resonance imaging (MRI) attempt to estimate the physiological brain age via some kind of machine learning of chronological brain age data to perform the classification task. Such a predictive approach imposes greater risk of either over-estimate or under-estimate, mainly due to limited training data. A new conceptual framework for more reliabl...

Journal: :Neuro-oncology 2022

Abstract PURPOSE Standard clinical magnetic resonance (MR) imaging of glioblastoma (GB) cannot identify malignant infiltration into the peritumoral non-enhancing region. This work implements quantitative MR fingerprinting (MRF) based radiomics to predict infiltrative regions GB. METHODS Pre-operative MRF T1 and T2 maps along with multiparametric (mpMR) images (T1w, T2w, T1w-Gd, FLAIR, ADC) from...

2017
Guillaume Thibault Alina Tudorica Aneela Afzal Stephen Y-C. Chui Arpana Naik Megan L. Troxell Kathleen A. Kemmer Karen Y. Oh Nicole Roy Neda Jafarian Megan L. Holtorf Wei Huang Xubo Song

This study investigates the effectiveness of hundreds of texture features extracted from voxel-based dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parametric maps for early prediction of breast cancer response to neoadjuvant chemotherapy (NAC). In total, 38 patients with breast cancer underwent DCE-MRI before (baseline) and after the first of the 6-8 NAC cycles. Quantitative ph...

Journal: :Ultrasound in Obstetrics and Gynecology 2003

Journal: :Pediatric Neurology Briefs 2010

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