Intratumoral metabolic heterogeneity by 18F‐FDG PET/CT to predict prognosis for patients with thymic epithelial tumors

Autor: Fangfang Chao, Ran Wang, Xingmin Han, Wenpeng Huang, Ruihua Wang, Yanxia Yu, Xuyang Lin, Ping Yuan, Meng Yang, Jianbo Gao
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Thoracic Cancer, Vol 15, Iss 18, Pp 1437-1445 (2024)
Druh dokumentu: article
ISSN: 1759-7714
1759-7706
DOI: 10.1111/1759-7714.15331
Popis: Abstract Background The aim of the present study was to evaluate the impact of intratumoral metabolic heterogeneity and quantitative 18F‐FDG PET/CT imaging parameters in predicting patient outcomes in thymic epithelial tumors (TETs). Methods This retrospective study included 100 patients diagnosed with TETs who underwent pretreatment 18F‐FDG PET/CT. The maximum and mean standardized uptake values (SUVmax and SUVmean), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) on PET/CT were measured. Heterogeneity index‐1 (HI‐1; standard deviation [SD] divided by SUVmean) and heterogeneity index‐2 (HI‐2; linear regression slopes of the MTV according with different SUV thresholds), were evaluated as heterogeneity indices. Associations between these parameters and patient survival outcomes were analyzed. Results The univariate analysis showed that Masaoka stage, TNM stage, WHO classification, SUVmax, SUVmean, TLG, and HI‐1 were significant prognostic factors for progression‐free survival (PFS), while MTV, HI‐2, age, gender, presence of myasthenia gravis, and maximum tumor diameter were not. Subsequently, multivariate analyses showed that HI‐1 (p
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