¹⁸F-FDG PET/CT radiomics nomogram for predicting occult lymph node metastasis of non-small cell lung cancer.

ABSTRACT:

Purpose

To investigate the ability of a PET/CT-based radiomics nomogram to predict occult lymph node metastasis in patients with clinical stage N0 non-small cell lung cancer (NSCLC).

Materials and methods

This retrospective study included 228 patients with surgically confirmed NSCLC (training set, 159 patients; testing set, 69 patients). ITKsnap3.8.0 was used for image(CT and PET images) segmentation, AK version 3.2.0 was used for radiomics feature extraction, and Python3.7.0 was used for radiomics feature screening. A radiomics model for predicting occult lymph node metastasis was established using a logistic regression algorithm. A nomogram was constructed by combining radiomics scores with selected clinical predictors. Receiver operating characteristic (ROC) curves were u

SUBMITTER: Qiao J 

PROVIDER: S-EPMC9554943 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature