Cargando…

Relating multi-sequence longitudinal intensity profiles and clinical covariates in incident multiple sclerosis lesions

The formation of multiple sclerosis (MS) lesions is a complex process involving inflammation, tissue damage, and tissue repair — all of which are visible on structural magnetic resonance imaging (MRI) and potentially modifiable by pharmacological therapy. In this paper, we introduce two statistical...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sweeney, Elizabeth M., Shinohara, Russell T., Dewey, Blake E., Schindler, Matthew K., Muschelli, John, Reich, Daniel S., Crainiceanu, Ciprian M., Eloyan, Ani
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2015
Materias:	Regular Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4660378/ https://www.ncbi.nlm.nih.gov/pubmed/26693397 http://dx.doi.org/10.1016/j.nicl.2015.10.013

Ejemplares similares

Health Effects of Lesion Localization in Multiple Sclerosis: Spatial Registration and Confounding Adjustment
por: Eloyan, Ani, et al.
Publicado: (2014)

PREVAIL: Predicting Recovery through Estimation and Visualization of Active and Incident Lesions
por: Dworkin, Jordan D., et al.
Publicado: (2016)

PItcHPERFeCT: Primary Intracranial Hemorrhage Probability Estimation using Random Forests on CT
por: Muschelli, John, et al.
Publicado: (2017)

Fully automated detection of paramagnetic rims in multiple sclerosis lesions on 3T susceptibility-based MR imaging
por: Lou, Carolyn, et al.
Publicado: (2021)

freesurfer: Connecting the Freesurfer software with R
por: Muschelli, John, et al.
Publicado: (2018)

OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI()
por: Sweeney, Elizabeth M., et al.
Publicado: (2013)

A Comparison of Supervised Machine Learning Algorithms and Feature Vectors for MS Lesion Segmentation Using Multimodal Structural MRI
por: Sweeney, Elizabeth M., et al.
Publicado: (2014)

TAPAS: A Thresholding Approach for Probability Map Automatic Segmentation in Multiple Sclerosis
por: Valcarcel, Alessandra M., et al.
Publicado: (2020)

Statistical estimation of white matter microstructure from conventional MRI
por: Suttner, Leah H, et al.
Publicado: (2016)

Longitudinal multiple sclerosis lesion segmentation data resource
por: Carass, Aaron, et al.
Publicado: (2017)

Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique
por: Tur, Carmen, et al.
Publicado: (2021)

Fast covariance estimation for sparse functional data
por: Xiao, Luo, et al.
Publicado: (2017)

Rxnat: An Open-Source R Package for XNAT-Based Repositories
por: Gherman, Adrian, et al.
Publicado: (2020)

Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenues
por: La Rosa, Francesco, et al.
Publicado: (2022)

A dual modeling approach to automatic segmentation of cerebral T2 hyperintensities and T1 black holes in multiple sclerosis
por: Valcarcel, Alessandra M., et al.
Publicado: (2018)

An improved algorithm of white matter hyperintensity detection in elderly adults
por: Ding, T, et al.
Publicado: (2019)

Longitudinal analysis of white matter and cortical lesions in multiple sclerosis
por: Fartaria, Mário João, et al.
Publicado: (2019)

Analytic Programming with fMRI Data: A Quick-Start Guide for Statisticians Using R
por: Eloyan, Ani, et al.
Publicado: (2014)

Measuring longitudinal myelin water fraction in new multiple sclerosis lesions
por: Vargas, Wendy S., et al.
Publicado: (2015)

Quantification of multiple-sclerosis-related brain atrophy in two heterogeneous MRI datasets using mixed-effects modeling()
por: Jones, Blake C., et al.
Publicado: (2013)

From pathology to MRI and back: Clinically relevant biomarkers of multiple sclerosis lesions
por: Kolb, Hadar, et al.
Publicado: (2022)

ALL-Net: Anatomical information lesion-wise loss function integrated into neural network for multiple sclerosis lesion segmentation
por: Zhang, Hang, et al.
Publicado: (2021)

Exploring in vivo lesion myelination dynamics: Longitudinal Myelin Water Imaging in early Multiple Sclerosis
por: Kitzler, Hagen H., et al.
Publicado: (2022)

Statistical normalization techniques for magnetic resonance imaging()()
por: Shinohara, Russell T., et al.
Publicado: (2014)

Corrigendum to “Statistical normalization techniques for magnetic resonance imaging” [NeuroImage: Clinical 6 (2014) 9–19]
por: Shinohara, Russell T., et al.
Publicado: (2015)

Longitudinal MR spectroscopy of neurodegeneration in multiple sclerosis with diffusion of the intra-axonal constituent N-acetylaspartate
por: Wood, Emily Turner, et al.
Publicado: (2017)

Structural Covariance of Cortical Gyrification at Illness Onset in Treatment Resistance: A Longitudinal Study of First-Episode Psychoses
por: Ajnakina, Olesya, et al.
Publicado: (2021)

Brainstem pathology in amyotrophic lateral sclerosis and primary lateral sclerosis: A longitudinal neuroimaging study
por: Bede, Peter, et al.
Publicado: (2019)

Fully automated longitudinal segmentation of new or enlarged multiple sclerosis lesions using 3D convolutional neural networks
por: Krüger, Julia, et al.
Publicado: (2020)

QSMRim-Net: Imbalance-aware learning for identification of chronic active multiple sclerosis lesions on quantitative susceptibility maps
por: Zhang, Hang, et al.
Publicado: (2022)

A supervised framework with intensity subtraction and deformation field features for the detection of new T2-w lesions in multiple sclerosis
por: Salem, Mostafa, et al.
Publicado: (2017)

Sensitivity of portable low-field magnetic resonance imaging for multiple sclerosis lesions
por: Arnold, T. Campbell, et al.
Publicado: (2022)

Diffusivity in multiple sclerosis lesions: At the cutting edge?()
por: Klistorner, Alexander, et al.
Publicado: (2016)

On Information Rank Deficiency in Phenotypic Covariance Matrices
por: O’Keefe, F Robin, et al.
Publicado: (2021)

Daily patterns of physical activity by type 2 diabetes definition: Comparing diabetes, prediabetes, and participants with normal glucose levels in NHANES 2003–2006()
por: Steeves, Jeremy A., et al.
Publicado: (2015)

Partial volume-aware assessment of multiple sclerosis lesions
por: Fartaria, Mário João, et al.
Publicado: (2018)

Brain structure segmentation in the presence of multiple sclerosis lesions
por: González-Villà, Sandra, et al.
Publicado: (2019)

Lesion location across diagnostic regions in multiple sclerosis
por: Pongratz, Viola, et al.
Publicado: (2023)

Brain disconnectome mapping derived from white matter lesions and serum neurofilament light levels in multiple sclerosis: A longitudinal multicenter study
por: Rise, Henning H., et al.
Publicado: (2022)

Predictive performance of selected breath volatile organic carbon compounds in stage 1 lung cancer
por: Smirnova, Ekaterina, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_hon4j8f9ofmjg5manosn0l5o3g