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Prognostic impact of maximum standardized uptake value on <scp><sup>18</sup>F‐FDG PET</scp>/<scp>CT</scp> imaging of the primary lung lesion on survival in advanced non‐small cell lung cancer: A retrospective study

Xiaoling Qiu, Hongge Liang, Wei Zhong, Jing Zhao, Minjiang Chen, Zhaohui Zhu, Yan Xu, Mengzhao Wang

2021Thoracic Cancer16 citationsDOIOpen Access PDF

Abstract

BACKGROUND: F-FDG PET/CT imaging in patients with advanced non-small cell lung cancer (NSCLC) remains controversial. METHODS: F-FDG PET/CT before systemic treatment between June 2012 and June 2016. The relationship between the maximum SUV (SUVmax) of the pulmonary lesion and lesion size was evaluated via Spearman's correlation analysis. We collected patients' clinical and pathological data. Univariate and multivariate analyses were performed to analyze the factors influencing survival. RESULTS: We included 157 patients with advanced NSCLC. Among these, 135 died, 13 survived, and nine were lost to follow-up (median follow-up period, 69 months). SUVmax was correlated with lesion size and was significantly greater for tumors ≥3 cm than for tumors <3 cm (10.2 ± 5.4 vs. 5.6 ± 3.3, t = -6.709, p = 0.000). Univariate analysis showed that survival was associated with gender, tumor size, epidermal growth factor receptor gene mutation or anaplastic lymphoma kinase rearrangement, SUVmax of the primary lung lesion, and treatment lines. Multivariate analysis showed a significant correlation between SUVmax of the primary lung lesion and survival. The mortality risk of patients with SUVmax ≤6 was 35% lower than that of patients with SUVmax >6 (HR = 0.651, 95% confidence interval, 0.436-0.972; Wald value, 4.400; p = 0.036). CONCLUSIONS: The SUVmax of the primary lung lesion on PET/CT is significantly correlated with survival in treatment-naive patients with advanced NSCLC.

Topics & Concepts

MedicineStandardized uptake valueUnivariate analysisLung cancerPositron emission tomographyLesionNuclear medicineLungAnaplastic lymphoma kinaseConfidence intervalRadiologyMultivariate analysisInternal medicinePathologyMalignant pleural effusionLung Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingMedical Imaging Techniques and Applications