Influencing Factors and Prognostic Value of 18F-FDG PET/CT Metabolic and Volumetric Parameters in Non-Small Cell Lung Cancer

doi:10.2147/IJGM.S320744

. 2021 Jul 21:14:3699-3706.

doi: 10.2147/IJGM.S320744. eCollection 2021.

Influencing Factors and Prognostic Value of ¹⁸F-FDG PET/CT Metabolic and Volumetric Parameters in Non-Small Cell Lung Cancer

Lixia Zhang¹, Zhe Ren², Caiyun Xu¹, Qiushuang Li³, Jinyan Chen¹

Affiliations

¹ Department of Nuclear Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310006, People's Republic of China.
² Department of Chest Surgery, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310006, People's Republic of China.
³ Department of Clinical Evaluation Centers, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310006, People's Republic of China.

PMID: 34321915
PMCID: PMC8312333
DOI: 10.2147/IJGM.S320744

Influencing Factors and Prognostic Value of ¹⁸F-FDG PET/CT Metabolic and Volumetric Parameters in Non-Small Cell Lung Cancer

Lixia Zhang et al. Int J Gen Med. 2021.

. 2021 Jul 21:14:3699-3706.

doi: 10.2147/IJGM.S320744. eCollection 2021.

Authors

Lixia Zhang¹, Zhe Ren², Caiyun Xu¹, Qiushuang Li³, Jinyan Chen¹

Affiliations

¹ Department of Nuclear Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310006, People's Republic of China.
² Department of Chest Surgery, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310006, People's Republic of China.
³ Department of Clinical Evaluation Centers, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310006, People's Republic of China.

PMID: 34321915
PMCID: PMC8312333
DOI: 10.2147/IJGM.S320744

Abstract

Objective: This study aims to explore factors influencing metabolic and volumetric parameters of [¹⁸F]fluorodeoxyglucose positron emission tomography/computed tomography (¹⁸F-FDG PET/CT) imaging in non-small cell lung cancer (NSCLC) and the predictive value for prognosis of NSCLC.

Methods: Retrospective analysis was performed on 133 NSCLC patients who received ¹⁸F-FDG PET/CT imaging. After ¹⁸F-FDG injection at 3.7 MBq/kg, 1 h early imaging and 2 h delayed imaging were performed. The metabolic and volumetric parameters such as SUVmax, SUVpeak, SULmax, SULpeak, MTV and TLG were measured. The tumor markers including CFYRA21-1, NSE, SCC-ag and the immunohistochemical biomarkers including Ki-67, P53 and CK-7 were examined. All patients were followed up for 24 months, and the 1-year and 2-year overall survival rate (OS) were recorded.

Results: There were significant differences in metabolic and volumetric parameters (SUVmax, SUVpeak, SULmax, SULpeak and TLG) between adenocarcinoma and squamous cell carcinoma of NSCLC. SUVmax, SUVpeak, SULmax, SULpeak, MTV and TLG were correlated with tumor marker NSE and TNM stage. MTV and TLG were related to CYFRA21-1, and only MTV was associated with SCC-ag. SUVpeak and SULmax were related to P53. In addition, early SULpeak and delayed MTV were significant prognostic factors of 1-year OS, while early SUVpeak, delayed TLG and delayed MTV were predictive factors of 2-year OS in NSCLC.

Conclusion: The metabolic and volumetric parameters of ¹⁸F-FDG PET/CT were related to a variety of factors such as NSE, CFYRA21-1, SCC-ag, P53 and TNM stage, and have a predictive value in prognosis of NSCLC.

Keywords: 18F-FDG; NSCLC; PET/CT; metabolic parameters; volumetric parameters.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

**Figure 1**
The receiver operating characteristics curves. The ROC curves for the optimal cut-off of (A) early SULpeak and delayed MTV of 1-year OS, and (B) early SUVpeak, delayed TLG and delayed MTV of 2-year OS.

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[1] Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424. doi:10.3322/caac.21492 - DOI - PubMed

[2] Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424. doi:10.3322/caac.21492 - DOI - PubMed

[3] Slotman BJ, Senan S. Radiotherapy in small-cell lung cancer: lessons learned and future directions. Int J Radiat Oncol Biol Phys. 2011;79(4):998–1003. doi:10.1016/j.ijrobp.2010.10.039 - DOI - PubMed

[4] Slotman BJ, Senan S. Radiotherapy in small-cell lung cancer: lessons learned and future directions. Int J Radiat Oncol Biol Phys. 2011;79(4):998–1003. doi:10.1016/j.ijrobp.2010.10.039 - DOI - PubMed

[5] Duma N, Santana-Davila R, Molina JR. Non-Small Cell Lung Cancer: epidemiology, Screening, Diagnosis, and Treatment. Mayo Clin Proce. 2019;94(8):1623–1640. doi:10.1016/j.mayocp.2019.01.013 - DOI - PubMed

[6] Duma N, Santana-Davila R, Molina JR. Non-Small Cell Lung Cancer: epidemiology, Screening, Diagnosis, and Treatment. Mayo Clin Proce. 2019;94(8):1623–1640. doi:10.1016/j.mayocp.2019.01.013 - DOI - PubMed

[7] Brainard J, Farver C. The diagnosis of non-small cell lung cancer in the molecular era. Modern Pathol. 2019;32(Suppl 1):16–26. doi:10.1038/s41379-018-0156-x - DOI - PubMed

[8] Brainard J, Farver C. The diagnosis of non-small cell lung cancer in the molecular era. Modern Pathol. 2019;32(Suppl 1):16–26. doi:10.1038/s41379-018-0156-x - DOI - PubMed

[9] Wang C, Wang Z, Zhao T, et al. Optical molecular imaging for tumor detection and image-guided surgery. Biomaterials. 2018;157:62–75. doi:10.1016/j.biomaterials.2017.12.002 - DOI - PMC - PubMed

[10] Wang C, Wang Z, Zhao T, et al. Optical molecular imaging for tumor detection and image-guided surgery. Biomaterials. 2018;157:62–75. doi:10.1016/j.biomaterials.2017.12.002 - DOI - PMC - PubMed

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Influencing Factors and Prognostic Value of ¹⁸F-FDG PET/CT Metabolic and Volumetric Parameters in Non-Small Cell Lung Cancer

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Influencing Factors and Prognostic Value of ¹⁸F-FDG PET/CT Metabolic and Volumetric Parameters in Non-Small Cell Lung Cancer

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