Purpose To compare predictive efficiency of multiple classifiers modeling and establish a
combined magnetic resonance imaging (MRI) radiomics model for identifying lymph node …

Background: Cervical lymph node (LN) metastasis of papillary thyroid carcinoma (PTC) is
critical for treatment and prognosis. To examine the feasibility of MRI radiomics to …

Background An accurate preoperative assessment of cervical lymph node metastasis (LNM)
is important for choosing an optimal therapeutic strategy for papillary thyroid carcinoma …

Papillary thyroid carcinoma (PTC) is generally considered an indolent cancer. However,
patients with cervical lymph node metastasis (LNM) have a higher risk of local recurrence …

Purpose To develop deep learning (DL) models based on multiphase dual-energy spectral
CT for predicting lymph nodes metastasis preoperatively and noninvasively in papillary …

Objectives: The presence of nodal metastases in patients with papillary thyroid carcinoma
(PTC) has both staging and treatment implications. However, lymph nodes are often not …

Background: The aim of this study was to identify the increased value of integrating
computed tomography (CT) radiomics analysis with the radiologists' diagnosis and clinical …

Background: Preoperative evaluation of the metastasis status of lateral lymph nodes (LNs) in
papillary thyroid cancer is challenging. Strategies for using deep learning to diagnosis of …

Objective. The incidence of primary thyroid cancer has risen steadily over the past decades
because of overdiagnosis and overtreatment through the improvement in imaging …

Background and Objectives Papillary thyroid carcinoma (PTC) is a prevalent histological
type of thyroid cancer; however, noninvasive assessment of cervical lymph node metastasis …