Cargando…

Predicting Glioblastoma Cellular Motility from In Vivo MRI with a Radiomics Based Regression Model

SIMPLE SUMMARY: A diagnosis of glioblastoma carries a uniformly dismal prognosis. Contributing to this is the near certain chance of aggressive tumor spread and recurrence following treatment. Tumor cell motility may provide one way to characterize the tendencies of glioblastomas to spread and recur...

Descripción completa

Detalles Bibliográficos
Autores principales:	Mulford, Kellen, McMahon, Mariah, Gardeck, Andrew M., Hunt, Matthew A., Chen, Clark C., Odde, David J., Wilke, Christopher
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833801/ https://www.ncbi.nlm.nih.gov/pubmed/35158845 http://dx.doi.org/10.3390/cancers14030578

Ejemplares similares

Main Manuscript for Cell migration simulator-based biomarkers for glioblastoma
por: Hou, Jay, et al.
Publicado: (2023)

A radiomics-based model for predicting local control of resected brain metastases receiving adjuvant SRS
por: Mulford, Kellen, et al.
Publicado: (2021)

MRI radiomics and potential applications to glioblastoma
por: Hooper, Grayson W., et al.
Publicado: (2023)

Synthetic MRI improves radiomics‐based glioblastoma survival prediction
por: Moya‐Sáez, Elisa, et al.
Publicado: (2022)

Radiomics prognostication model in glioblastoma using diffusion- and perfusion-weighted MRI
por: Park, Ji Eun, et al.
Publicado: (2020)

Radiomics in the diagnosis of glioblastoma
por: Kwiatkowska-Miernik, Agnieszka, et al.
Publicado: (2023)

Endocytosis, cell signalling, adhesion and motility
por: McMahon, HT
Publicado: (2009)

Prediction of Prognosis in Glioblastoma Using Radiomics Features of Dynamic Contrast-Enhanced MRI
por: Pak, Elena, et al.
Publicado: (2021)

A Predictive Clinical-Radiomics Nomogram for Survival Prediction of Glioblastoma Using MRI
por: Ammari, Samy, et al.
Publicado: (2021)

The Application of DTCWT on MRI-Derived Radiomics for Differentiation of Glioblastoma and Solitary Brain Metastases
por: Wu, Wen-Feng, et al.
Publicado: (2022)

MACC1 driven alterations in cellular biomechanics facilitate cell motility in glioblastoma
por: Hohmann, Tim, et al.
Publicado: (2020)

300 Improving the diagnosis and classification of facial pain conditions with MRI-based features
por: Mulford, Kellen, et al.
Publicado: (2022)

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics
por: Bakas, Spyridon, et al.
Publicado: (2022)

Differentiation of Glioblastoma and Brain Metastases by MRI-Based Oxygen Metabolomic Radiomics and Deep Learning
por: Stadlbauer, Andreas, et al.
Publicado: (2022)

MRI radiomic features of peritumoral edema may predict the recurrence sites of glioblastoma multiforme
por: Long, Hao, et al.
Publicado: (2023)

The Effect of Heterogenous Subregions in Glioblastomas on Survival Stratification: A Radiomics Analysis Using the Multimodality MRI
por: Yin, Lulu, et al.
Publicado: (2021)

Machine learning based differentiation of glioblastoma from brain metastasis using MRI derived radiomics
por: Priya, Sarv, et al.
Publicado: (2021)

Machine-Learning-Based Radiomics MRI Model for Survival Prediction of Recurrent Glioblastomas Treated with Bevacizumab
por: Ammari, Samy, et al.
Publicado: (2021)

Multiparametric MRI-based radiomics analysis for the prediction of breast tumor regression patterns after neoadjuvant chemotherapy
por: Zhuang, Xiaosheng, et al.
Publicado: (2020)

Comparison of peripheral leukocyte parameters in patients receiving conventionally and hypofractionated radiotherapy schemes for the treatment of newly diagnosed glioblastoma
por: Greenlund, Lindsey, et al.
Publicado: (2023)

Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI
por: Cepeda, Santiago, et al.
Publicado: (2023)

In vivo MRI volumetric measurement of prostate regression and growth in mice
por: Nastiuk, Kent L, et al.
Publicado: (2007)

Challenges in Glioblastoma Radiomics and the Path to Clinical Implementation
por: Martin, Philip, et al.
Publicado: (2022)

Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme
por: Zinn, Pascal O., et al.
Publicado: (2011)

Cellular Density Effect on RGD Ligand Internalization in Glioblastoma for MRI Application
por: Moncelet, Damien, et al.
Publicado: (2013)

Glioblastoma motility occurs in the absence of actin polymer
por: Panopoulos, Andreas, et al.
Publicado: (2011)

Coordination of glioblastoma cell motility by PKCι
por: Baldwin, R Mitchell, et al.
Publicado: (2010)

Preoperative MRI-radiomics features improve prediction of survival in glioblastoma patients over MGMT methylation status alone
por: Tixier, Florent, et al.
Publicado: (2019)

Multiregional radiomics profiling from multiparametric MRI: Identifying an imaging predictor of IDH1 mutation status in glioblastoma
por: Li, Zhi‐Cheng, et al.
Publicado: (2018)

Unraveling response to temozolomide in preclinical GL261 glioblastoma with MRI/MRSI using radiomics and signal source extraction
por: Núñez, Luis Miguel, et al.
Publicado: (2020)

Radiomics-based neural network predicts recurrence patterns in glioblastoma using dynamic susceptibility contrast-enhanced MRI
por: Shim, Ka Young, et al.
Publicado: (2021)

A Multiparametric MRI-Based Radiomics Nomogram for Preoperative Prediction of Survival Stratification in Glioblastoma Patients With Standard Treatment
por: Jia, Xin, et al.
Publicado: (2022)

MRI-derived radiomics to guide post-operative management of glioblastoma: Implication for personalized radiation treatment volume delineation
por: Chiesa, S., et al.
Publicado: (2023)

Multi-parameter MRI based radiomics nomogram for predicting telomerase reverse transcriptase promoter mutation and prognosis in glioblastoma
por: Chen, Ling, et al.
Publicado: (2023)

A spline-based regression parameter set for creating customized DARTEL MRI brain templates from infancy to old age
por: Wilke, Marko
Publicado: (2017)

Radiomic Analysis to Predict Histopathologically Confirmed Pseudoprogression in Glioblastoma Patients
por: McKenney, Anna Sophia, et al.
Publicado: (2022)

Quantitative radiomic profiling of glioblastoma represents transcriptomic expression
por: Kong, Doo-Sik, et al.
Publicado: (2018)

Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques
por: Suter, Yannick, et al.
Publicado: (2020)

Differentiation Between Glioblastoma Multiforme and Metastasis From the Lungs and Other Sites Using Combined Clinical/Routine MRI Radiomics
por: Han, Yuqi, et al.
Publicado: (2021)

Correction: Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme
por: Zinn, Pascal O., et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_sjoca541udqk82ncb9bpcl54ph