Cargando…

Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation

The purpose of this study was to establish a high-performing radiomics strategy with machine learning from conventional and diffusion MRI to differentiate recurrent glioblastoma (GBM) from radiation necrosis (RN) after concurrent chemoradiotherapy (CCRT) or radiotherapy. Eighty-six patients with GBM...

Descripción completa

Detalles Bibliográficos
Autores principales:	Park, Yae Won, Choi, Dongmin, Park, Ji Eun, Ahn, Sung Soo, Kim, Hwiyoung, Chang, Jong Hee, Kim, Se Hoon, Kim, Ho Sung, Lee, Seung-Koo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7858615/ https://www.ncbi.nlm.nih.gov/pubmed/33536499 http://dx.doi.org/10.1038/s41598-021-82467-y

Ejemplares similares

Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results
por: An, Chansik, et al.
Publicado: (2021)

Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation
por: Bae, Sohi, et al.
Publicado: (2020)

Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls
por: Park, Yae Won, et al.
Publicado: (2020)

Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors
por: Park, Yae Won, et al.
Publicado: (2019)

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

Quality of Radiomics Research on Brain Metastasis: A Roadmap to Promote Clinical Translation
por: Park, Chae Jung, et al.
Publicado: (2022)

Cycle-consistent adversarial networks improves generalizability of radiomics model in grading meningiomas on external validation
por: Park, Yae Won, et al.
Publicado: (2022)

Quality Reporting of Radiomics Analysis in Mild Cognitive Impairment and Alzheimer's Disease: A Roadmap for Moving Forward
por: Won, So Yeon, et al.
Publicado: (2020)

An interpretable radiomics model to select patients for radiotherapy after surgery for WHO grade 2 meningiomas
por: Park, Chae Jung, et al.
Publicado: (2022)

Radiomics-based prediction of multiple gene alteration incorporating mutual genetic information in glioblastoma and grade 4 astrocytoma, IDH-mutant
por: Sohn, Beomseok, et al.
Publicado: (2021)

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

An interpretable multiparametric radiomics model for the diagnosis of schizophrenia using magnetic resonance imaging of the corpus callosum
por: Bang, Minji, et al.
Publicado: (2021)

An interpretable multiparametric radiomics model of basal ganglia to predict dementia conversion in Parkinson’s disease
por: Park, Chae Jung, et al.
Publicado: (2023)

A Radiomics-Based Model for Potentially More Accurate Identification of Subtypes of Breast Cancer Brain Metastases
por: Cho, Seonghyeon, et al.
Publicado: (2023)

Procarbazine and CCNU Chemotherapy for Recurrent Glioblastoma with MGMT Promoter Methylation
por: Kim, Se-Hyuk, et al.
Publicado: (2018)

Combined Diagnostic Accuracy of Diffusion and Perfusion MR Imaging to Differentiate Radiation-Induced Necrosis from Recurrence in Glioblastoma
por: Jajodia, Ankush, et al.
Publicado: (2022)

Machine learning‑based radiomics models for prediction of locoregional recurrence in patients with breast cancer
por: Lee, Joongyo, et al.
Publicado: (2023)

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

Qualitative and Quantitative Magnetic Resonance Imaging Phenotypes May Predict CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytomas: A Multicenter Study
por: Park, Yae Won, et al.
Publicado: (2023)

Comparison of Diagnostic Performance of Two-Dimensional and Three-Dimensional Fractal Dimension and Lacunarity Analyses for Predicting the Meningioma Grade
por: Kim, Soopil, et al.
Publicado: (2020)

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

Ipsilateral Recurrence of DCIS in Relation to Radiomics Features on Contrast Enhanced Breast MRI
por: Park, Ga Eun, et al.
Publicado: (2022)

Differentiation of Recurrence from Radiation Necrosis in Gliomas Based on the Radiomics of Combinational Features and Multimodality MRI Images
por: Zhang, Quan, et al.
Publicado: (2019)

Differentiating Radiation Necrosis and Metastatic Progression in Brain Tumors Using Radiomics and Machine Learning
por: Salari, Elahheh, et al.
Publicado: (2023)

Prediction of Response to Concurrent Chemoradiotherapy with Temozolomide in Glioblastoma: Application of Immediate Post-Operative Dynamic Susceptibility Contrast and Diffusion-Weighted MR Imaging
por: Lee, Eun Kyoung, et al.
Publicado: (2015)

Individualized discrimination of tumor recurrence from radiation necrosis in glioma patients using an integrated radiomics-based model
por: Wang, Kai, et al.
Publicado: (2019)

Radiation-Induced Intratumoral Necrosis and Peritumoral Edema after Gamma Knife Radiosurgery for Intracranial Meningiomas
por: Lee, Sang Ryul, et al.
Publicado: (2012)

Recurrent Glioblastomas Reveal Molecular Subtypes Associated with Mechanistic Implications of Drug-Resistance
por: Kwon, So Mee, et al.
Publicado: (2015)

Compassionate use of recombinant human IL‐7‐hyFc as a salvage treatment for restoring lymphopenia in patients with recurrent glioblastoma
por: Ahn, Stephen, et al.
Publicado: (2022)

Prognosis Prediction of Measurable Enhancing Lesion after Completion of Standard Concomitant Chemoradiotherapy and Adjuvant Temozolomide in Glioblastoma Patients: Application of Dynamic Susceptibility Contrast Perfusion and Diffusion-Weighted Imaging
por: Kim, Jae Hyun, et al.
Publicado: (2014)

A systematic review reporting quality of radiomics research in neuro-oncology: toward clinical utility and quality improvement using high-dimensional imaging features
por: Park, Ji Eun, et al.
Publicado: (2020)

Spinal Cord Glioblastoma Induced by Radiation Therapy of Nasopharyngeal Rhabdomyosarcoma with MRI Findings: Case Report
por: Ahn, Se Jin, et al.
Publicado: (2012)

T1 Map-Based Radiomics for Prediction of Left Ventricular Reverse Remodeling in Patients With Nonischemic Dilated Cardiomyopathy
por: Chang, Suyon, et al.
Publicado: (2023)

Three-dimensional fractal dimension and lacunarity features may noninvasively predict TERT promoter mutation status in grade 2 meningiomas
por: Won, So Yeon, et al.
Publicado: (2022)

Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphoma
por: Yun, Jihye, et al.
Publicado: (2019)

Low-dose external beam radiotherapy as a postoperative treatment for patients with diffuse pigmented villonodular synovitis of the knee: 4 recurrences in 23 patients followed for mean 9 years
por: Park, Geumju, et al.
Publicado: (2012)

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

11C-methionine-PET for differentiating recurrent brain tumor from radiation necrosis: radiomics approach with random forest classifier
por: Hotta, Masatoshi, et al.
Publicado: (2019)

True Progression versus Pseudoprogression in the Treatment of Glioblastomas: A Comparison Study of Normalized Cerebral Blood Volume and Apparent Diffusion Coefficient by Histogram Analysis
por: Song, Yong Sub, et al.
Publicado: (2013)

Preoperative Magnetic Resonance Imaging Radiomics for Predicting Early Recurrence of Glioblastoma
por: Wang, Jing, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_usa6u4318bea9mkc1k5eo0pk7c