Ultrasound-Based Radiomics and Deep Learning for Prediction of Lateral and Central Lymph Node Metastasis and BRAF Gene Mutation in Papillary Thyroid Carcinoma.

doi:10.1177/15330338261490262

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Article

Ultrasound-Based Radiomics and Deep Learning for Prediction of Lateral and Central Lymph Node Metastasis and BRAF Gene Mutation in Papillary Thyroid Carcinoma.

Technology in cancer research & treatment - 1 Jan 2026

Zheng Qiao, Li Huihui, Zhang Tongbin, Guo Wenhao, Li Sunjun, Wang Wenjing, Zhang Long, Cui Jiaye, Jin Xiance, Qu Jinmiao

Abstract excerpt

IntroductionPredicting B-Raf proto-oncogene, serine/threonine kinase (BRAF) gene mutations, lateral lymph node metastasis (LLNM) and central lymph node metastasis (CLNM) is crucial for selecting preoperative surgical approaches and predicting survival outcomes in patients with papillary thyroid carcinoma (PTC). In this study, features extracted from ultrasound images were combined with clinical characteristics to...

Read the complete abstract on PubMed

Topics

Humans
Radiomics
Proto-Oncogene Proteins B-raf
Lymphatic Metastasis
Thyroid Cancer, Papillary

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Mutation

Nomograms

Ultrasonography

Proto-Oncogene Mas

Deep Learning

Female

Male

Thyroid Neoplasms

Middle Aged

Retrospective Studies

Adult

Prognosis

Source

Open in PubMed

Identifiers

PMID: 42771519
DOI: 10.1177/15330338261490262

Genes

BRAF

Provenance

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