T2-FLAIR Mismatch sign as an imaging biomarker for IDH-mutant, 1p/19q non-codeleted lower-grade gliomas. Initial experience utilizing contrast-enhanced FLAIR acquisition

Munir, Yunib Hassan; Arevalo, Octavio; Soto, Carolina; Alba, Luis De; Riascos, Roy

doi:10.26226/morressier.5e8335ba7cb08a046ef7c6d1

2020

DOI: 10.26226/morressier.5e8335ba7cb08a046ef7c6d1

|View full text |Cite

Preprint

T2-FLAIR Mismatch sign as an imaging biomarker for IDH-mutant, 1p/19q non-codeleted lower-grade gliomas. Initial experience utilizing contrast-enhanced FLAIR acquisition

Yunib Hassan Munir¹,

Octavio Arevalo²,

Carolina Soto³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Potential roles of transformers in brain tumor diagnosis and treatment

Lan

Zou

Qin

et al. 2023

Brain-X

View full text Add to dashboard Cite

Brain tumor (BT) is one of many malignancies that have substantially enhanced global human morbidity and mortality rates. Early detection and characterization of glioma are essential for effective preventive strategies. Currently, the use of Transformers, a deep learning model for BT diagnosis and treatment, is attracting significant attention. The transformer self‐attention mechanism automatically learns the associations between input data for efficient processing and analysis. Research indicates that Transformers could play an essential role in the BT segmentation of magnetic resonance imaging (MRI) images, the MRI and histopathology‐based grading of brain cancer, BT molecular expression prediction, the classification of primary brain metastasis sites, voxel‐level dose and BT radiotherapy outcome prediction, synergistic prediction, and the pathway deconvolution of drug combinations. In this review, the feasibility, accuracy, and applicability of various algorithms are systematically analyzed and their prospects are discussed. Overall, this review aimed to discuss and provide an overview of the increasing applications of Transformers in real‐time BT detection and therapy, indicating their broad prospects and potential. In the future, Transformers are expected to be increasingly used for the diagnosis and subsequent treatment of BT because of the continuous development and improvement of Transformer‐based deep learning technology. However, more work is required to investigate their properties for anomaly detection, medical image classification, network design development, and application to other medical data.

show abstract

Potential roles of transformers in brain tumor diagnosis and treatment

Lan

Zou

Qin

et al. 2023

Brain-X

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

T2-FLAIR Mismatch sign as an imaging biomarker for IDH-mutant, 1p/19q non-codeleted lower-grade gliomas. Initial experience utilizing contrast-enhanced FLAIR acquisition

Cited by 1 publication

References 0 publications

Potential roles of transformers in brain tumor diagnosis and treatment

Potential roles of transformers in brain tumor diagnosis and treatment

Contact Info

Product

Resources

About