نتایج جستجو برای: radiomic prediction mri

تعداد نتایج: 357714  

2016
HIROFUMI NAGASHINO

In medical imaging for clinical diagnosis and biomedical research magnetic resonance imaging (MRI) is one of the prevailing techniques. A lot of subjects of MRI are annoyed by the loud noise that MRI generates. In the present study computer simulation of active control of the noise induced by MRI was performed. The sound generated by the measurement sequences for the brain was recorded with an ...

Journal: :Magnetic Resonance Materials in Physics Biology and Medicine 2021

To assess pre-therapeutic MRI-based radiomic analysis to predict the pathological complete response neoadjuvant chemotherapy (NAC) in women with early triple negative breast cancer (TN). This monocentric retrospective study included 75 TN female patients MRI (T1-weighted, T2-weighted, diffusion-weighted and dynamic contrast enhancement images) performed before NAC. For each patient, tumor(s) pa...

Journal: :Journal of nuclear medicine : official publication, Society of Nuclear Medicine 2017
Stephen S F Yip John Kim Thibaud P Coroller Chintan Parmar Emmanuel Rios Velazquez Elizabeth Huynh Raymond H Mak Hugo J W L Aerts

PET-based radiomics have been used to noninvasively quantify the metabolic tumor phenotypes; however, little is known about the relationship between these phenotypes and underlying somatic mutations. This study assessed the association and predictive power of 18F-FDG PET-based radiomic features for somatic mutations in non-small cell lung cancer patients. Methods: Three hundred forty-eight non-...

Journal: :Journal of Personalized Medicine 2023

Determining histological subtypes, such as invasive ductal and lobular carcinomas (IDCs ILCs) immunohistochemical markers, estrogen response (ER), progesterone (PR), the HER2 protein status is important in planning breast cancer treatment. MRI-based radiomic analysis emerging a non-invasive substitute for biopsy to determine these signatures. We explore effectiveness of radiomics-based CNN (con...

2017
Ahmad Chaddad Christian Desrosiers Matthew Toews

We propose using multi-scale image textures to investigate links between neuroanatomical regions and clinical variables in MRI. Texture features are derived at multiple scales of resolution based on the Laplacian-of-Gaussian (LoG) filter. Three quantifier functions (Average, Standard Deviation and Entropy) are used to summarize texture statistics within standard, automatically segmented neuroan...

Journal: :AJNR. American journal of neuroradiology 2016
P Tiwari P Prasanna L Wolansky M Pinho M Cohen A P Nayate A Gupta G Singh K J Hatanpaa A Sloan L Rogers A Madabhushi

BACKGROUND AND PURPOSE Despite availability of advanced imaging, distinguishing radiation necrosis from recurrent brain tumors noninvasively is a big challenge in neuro-oncology. Our aim was to determine the feasibility of radiomic (computer-extracted texture) features in differentiating radiation necrosis from recurrent brain tumors on routine MR imaging (gadolinium T1WI, T2WI, FLAIR). MATER...

Journal: :European Journal of Nuclear Medicine and Molecular Imaging 2019

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