Prediction of iodine-125 seed implantation efficacy in lung cancer using an enhanced CT-based nomogram model.

ABSTRACT:

Background

Lung cancer, a leading cause of death, sees variable outcomes with iodine-125 seed implantation. Predictive tools are lacking, complicating clinical decisions. This study integrates radiomics and clinical features to develop a predictive model, advancing personalized treatment.

Objective

To construct a nomogram model combining enhanced CT image features and general clinical characteristics to evaluate the efficacy of radioactive iodine-125 seed implantation in lung cancer treatment.

Methods

Patients who underwent lung iodine-125 seed implantation at the Nuclear Medicine Department of Xiling Campus, Yichang Central People's Hospital from January 1, 2018, to January 31, 2024, were randomly divided into a training set (73 cases) and a test set (31 cases). Radi

SUBMITTER: Guibin D 

PROVIDER: S-EPMC11567524 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature