MRI Texture Features are Associated with Vestibular Schwannoma Histology-Reference-Cited by-同舟云学术

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MRI Texture Features are Associated with Vestibular Schwannoma Histology

Published:2020-12-10 Issue:6 Volume:131 Page:
ISSN:0023-852X
Container-title:The Laryngoscope
language:en
Short-container-title:The Laryngoscope

Author:

George‐Jones Nicholas A.¹^ORCID,Chkheidze Rati²,Moore Samantha²,Wang Jing³,Hunter Jacob B.¹

Affiliation:

1. Department of Otolaryngology‐Head and Neck Surgery University of Texas Southwestern Medical Center Dallas Texas U.S.A.

2. Department of Pathology University of Texas Southwestern Medical Center Dallas Texas U.S.A.

3. Department of Radiation Oncology University of Texas Southwestern Medical Center Dallas Texas U.S.A.

Funder

National Institute of Biomedical Imaging and Bioengineering

Publisher

Wiley

Subject

Otorhinolaryngology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/lary.29309

Reference31 articles.

1. Radiomics: Images Are More than Pictures, They Are Data

2. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

3. A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images

4. Computational quantitative MR image features - a potential useful tool in differentiating glioblastoma from solitary brain metastasis

5. Differential Diagnostic Value of Texture Feature Analysis of Magnetic Resonance T2 Weighted Imaging between Glioblastoma and Primary Central Neural System Lymphoma

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1. Computer Vision—Radiomics & Pathognomics;Otolaryngologic Clinics of North America;2024-10

2. CT-Based Radiomics Analysis of Different Machine Learning Models for Discriminating the Risk Stratification of Pheochromocytoma and Paraganglioma: A Multicenter Study;Academic Radiology;2024-07

3. CT-based radiomics research for discriminating the risk stratification of pheochromocytoma using different machine learning models: a multi-center study;Abdominal Radiology;2024-04-08

4. Development and Validation of a Deep Learning Predictive Model Combining Clinical and Radiomic Features for Short-Term Postoperative Facial Nerve Function in Acoustic Neuroma Patients;Current Medical Science;2023-04

5. Whole Tumor Radiomics Analysis for Risk Factors Associated With Rapid Growth of Vestibular Schwannoma in Contrast-Enhanced T1-Weighted Images;World Neurosurgery;2022-10

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