Dual-energy computed tomography for predicting cervical lymph node metastasis in laryngeal squamous cell carcinoma.

ABSTRACT:

Rationale and objectives

We constructed a dual-energy computed tomography (DECT)-based model to assess cervical lymph node metastasis (LNM) in patients with laryngeal squamous cell carcinoma (LSCC).

Materials and methods

We retrospectively analysed 164 patients with LSCC who underwent preoperative DECT from May 2019 to May 2023. The patients were randomly divided into training (n = 115) and validation (n = 49) cohorts. Quantitative DECT parameters of the primary tumours and their clinical characteristics were collected. A logistic regression model was used to determine independent predictors of LNM, and a nomogram was constructed along with a corresponding online model. Model performance was assessed using the area under the curve (AUC) and the calibration curve, and the cli

SUBMITTER: Tu J 

PROVIDER: S-EPMC11369477 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature