Purpose Diagnosis of lymph node metastasis (LNM) is critical for patients with pancreatic
ductal adenocarcinoma (PDAC). We aimed to build deep learning radiomics (DLR) models …

The accurate and timely assessment of lymph node involvement is paramount in the
management of patients with malignant tumors, owing to its direct correlation with cancer …

Objectives To investigate the potential of dual-energy computed tomography (DECT)
parameters in identifying metastatic cervical lymph nodes in oral squamous cell carcinoma …

Background and purpose This study evaluated the use of quantitative spectral computed
tomography (CT) parameters to identify lymph node metastasis (LM) in lung cancer …

Rationale and Objectives This study aimed to develop and validate a dual-energy CT
(DECT)-based model for preoperative prediction of the number of central lymph node …

Background Contrast-enhanced ultrasound (CEUS) has been recently used for the
assessment of cervical lymph node metastasis (LNM) to guide surgical operation in patients …

Background Variations in axillary lymph node (ALN) metastatic potential between different
breast cancers lead to microscopical alterations in tumor perfusion heterogeneity. This study …

Background The accurate assessment of lymph node metastasis (LNM) is crucial for the
staging, treatment, and prognosis of lung cancer. In this study, we explored the potential …

This study aimed to evaluate the diagnostic performances of dual-layer CT (DLCT) for the
identification of positive lymph nodes (LNs) in patients with lymphoma and retrospectively …

Objectives This study investigated the diagnostic performance of dual-energy computed
tomography (CT) and deep learning for the preoperative classification of equivocal lymph …