Standard deviation of CT radiomic features among malignancies in each individual: prognostic ability in lung cancer patients.

ABSTRACT:

Purpose

It was reported that individual heterogeneity among malignancies (IHAM) might correlate well to the prognosis of lung cancer; however, seldom radiomic study is on this field. Standard deviation (SD) in statistics could scale average amount of variability of a variable; therefore, we used SD of CT feature (Feature_SD) among primary tumor and malignant lymph nodes (LNs) in an individual to represent IHAM, and its prognostic ability was explored.

Methods

The enrolled patients who had accepted PET/CT scans were selected from our previous study (ClinicalTrials.gov, NCT03648151). The patients had primary tumor and at least one LN, and standardized uptake value of LN higher than 2.0 and 2.5 were enrolled as the cohort 1 (n = 94) and 2 (n = 88), respectively. Featu

SUBMITTER: Hongwei S 

PROVIDER: S-EPMC11796657 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature