Raw Data and R Script for the Association between the Body Mass Index, Chronic Obstructive Pulmonary Disease and SUV of the Non-Tumorous Lung in the Pretreatment [18F]FDG-PET/CT of Patients with Lung Cancer

This research project aimed to elucidate the association between clinical variables and lung standardized uptake value (SUV) in pretherapeutic [18F]FDG-PET/CT scans of lung cancer patients. The study examined SUV measurements in non-tumorous regions of the lungs from 240 lung cancer patients, comparing SUVMEAN, SUVMAX, SUV95, and ratios of lung tissue to liver tissue and blood pool SUV with various patient characteristics and comorbidities. The analyzed clinical variables included sex, age, BMI, smoking status, pack years, COPD, tumor stage, previous lung operation, previous lung radiation, pleural effusion (PE), pericardial effusion (PCE), diabetes mellitus type II, asthma, coronary heart disease (CHD) and blood hemoglobin level (Hb). This comprehensive analysis aimed to shed light on the interplay between these clinical factors and lung SUV in lung cancer patients, potentially informing more tailored and effective management strategies for the disease. 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/10.3390/diagnostics14111139本研究旨在阐明肺癌患者治疗前[18F]氟代脱氧葡萄糖正电子发射断层扫描/计算机断层扫描([18F]FDG-PET/CT)中，临床变量与肺部标准化摄取值(standardized uptake value, SUV)之间的关联。本研究纳入240例肺癌患者，对其肺部非肿瘤区域的SUV测量值展开分析，对比了SUVMEAN、SUVMAX、SUV95以及肺组织与肝组织、血液池SUV的比值，并结合各类患者特征与合并症开展比较。本次分析涵盖的临床变量包括性别、年龄、体质量指数(Body Mass Index, BMI)、吸烟状况、吸烟包年数、慢性阻塞性肺疾病(Chronic Obstructive Pulmonary Disease, COPD)、肿瘤分期、既往肺部手术史、既往肺部放疗史、胸腔积液(pleural effusion, PE)、心包积液(pericardial effusion, PCE)、2型糖尿病、哮喘、冠状动脉粥样硬化性心脏病(coronary heart disease, CHD)以及血液血红蛋白水平(hemoglobin, Hb)。本综合分析旨在厘清上述临床因素与肺癌患者肺部SUV之间的相互作用，有望为该疾病制定更具针对性、更为有效的管理策略提供参考。本数据集包含可复现本学位论文所述研究成果所需的核心组件：包含概述数据集内容与使用说明的README文件、承载本研究所用数据集的队列文件，以及可复现本论文分析流程的R脚本文件。上述资源旨在提升研究的透明度与可复现性，助力同行研究者验证并拓展本原创研究的成果：https://doi.org/10.3390/diagnostics14111139