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

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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.

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Potential roles of transformers in brain tumor diagnosis and treatment

Lan

Zou

Qin

et al. 2023

Brain-X

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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.

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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

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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

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