The effect of harmonization on the variability of PET radiomic features extracted using various segmentation methods.

ABSTRACT:

Purpose

This study aimed to examine the robustness of positron emission tomography (PET) radiomic features extracted via different segmentation methods before and after ComBat harmonization in patients with non-small cell lung cancer (NSCLC).

Methods

We included 120 patients (positive recurrence = 46 and negative recurrence = 74) referred for PET scanning as a routine part of their care. All patients had a biopsy-proven NSCLC. Nine segmentation methods were applied to each image, including manual delineation, K-means (KM), watershed, fuzzy-C-mean, region-growing, local active contour (LAC), and iterative thresholding (IT) with 40, 45, and 50% thresholds. Diverse image discretizations, both without a filter and with different wavelet decompositions, were applied to PET images

SUBMITTER: Hosseini SA 

PROVIDER: S-EPMC11217131 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature