This dataset is part of a research project that investigated the pretherapeutic standardized uptake value (SUV) on 18F-fluorodeoxyglucose positron emission tomography/computed tomography ([18F]FDG-PET/CT) of non-tumorous lung tissue as a predictive imaging marker for the development of checkpoint inhibitor pneumonitis (CIP) in patients with lung cancer.

In this retrospective study, we analyzed [18F]FDG-PET/CT datasets from 240 lung cancer patients who were consecutively scanned prior to receiving immune checkpoint inhibitor (ICI) therapy. The study compared SUVMEAN, SUVMAX, and SUV95 values, treatment regimens, and comorbidities between patients who developed CIP and those who did not. Logistic regression analyses were performed to assess the predictive value of pretherapeutic SUV for CIP development.

This dataset comprises essential components for replicating the research findings presented in my dissertation. Included are a README file offering an overview of the dataset's contents and usage instructions, a cohort file containing the dataset used in the study, and R scripts facilitating the reproduction of the analyses outlined in the dissertation. These resources aim to enhance transparency and reproducibility, enabling fellow researchers to validate and build upon the findings of the original research article: https://doi.org/10.3389/fonc.2025.1563030