Impact of segmentation and discretization on radiomic features in ⁶⁸Ga-DOTA-TOC PET/CT images of neuroendocrine tumor.

ABSTRACT:

Objective

To identify the impact of segmentation methods and intensity discretization on radiomic features (RFs) extraction from ⁶⁸Ga-DOTA-TOC PET images in patients with neuroendocrine tumors.

Methods

Forty-nine patients were retrospectively analyzed. Tumor contouring was performed manually by four different operators and with a semi-automatic edge-based segmentation (SAEB) algorithm. Three SUV_max fixed thresholds (20, 30, 40%) were applied. Fifty-one RFs were extracted applying two different intensity rescale factors for gray-level discretization: one absolute (AR60 = SUV from 0 to 60) and one relative (RR = min-max of the VOI SUV). Dice similarity coefficient (DSC) was calculated to quantify segmentation agreement between different segmentation metho

SUBMITTER: Liberini V 

PROVIDER: S-EPMC7914329 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature