Ultrasound (US) is the first imaging modality for thyroid parenchyma evaluation. In the last
decades, the role of ultrasound has been improved with the introduction of new US software …

Purpose To investigate whether a computer-aided diagnosis (CAD) program developed
using the deep learning convolutional neural network (CNN) on neck US images can predict …

Objective: FN present a management quandary as they are often benign but may also be
aggressive TC. Consensus recommendations have historically advised thyroidectomy for …

Purpose Our purposes were: 1) to estimate the prediction performance (PP) of cytology in
identifying papillary thyroid carcinoma (PTC) subtypes; 2) to explore how the PTC subtypes …

Papillary thyroid carcinoma (PTC) is the most common type of thyroid carcinoma and has
characteristic nuclear features. Genetic abnormalities of PTC affect recent molecular target …

Papillary thyroid carcinoma (PTC) is usually indolent; however, some rare subtypes of PTCs,
such as columnar cell and hobnail subtypes, carry poor prognosis as an intermediate …

Purpose To create an ultrasound-based deep learning radiomics nomogram (DLRN) for
preoperatively predicting the presence of RET rearrangement among patients with papillary …

Background: The BRAFV600E mutation is a valuable indicator for thyroid cancer diagnosis.
This study aimed to develop a deep convolutional neural network (DCNN) model based on …

The ability of cancer to metastasize is regulated by various signaling pathways, including
transforming growth factor β (TGFβ), also implicated in the upregulation of Snail-1 …

Simple Summary Commercially available molecular tests for thyroid fine needle aspiration
biopsy are expensive and usually require an additional aspiration of the nodule. Therefore …