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Revista espanola de medicina nuclear e imagen molecular, 2020-01, Vol.39 (1), p.3
2020

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Autor(en) / Beteiligte
Titel
Volumetric PET parameters can predict overall survival in advanced lung adenocarcinoma
Ist Teil von
  • Revista espanola de medicina nuclear e imagen molecular, 2020-01, Vol.39 (1), p.3
Ort / Verlag
Spain
Erscheinungsjahr
2020
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
  • The present study evaluates the prognostic value of metabolic parameters related to the primary tumor on pretreatment F FDG PET/CT in patients with advanced stage lung adenocarcinoma. This retrospective study included 258 patients with advanced stage lung adenocarcinoma who underwent pretreatment PET/CT scan, and for whom epidermal growth factor receptor (EGFR)/anaplastic lymphoma kinase (ALK) status was available. The maximum standardized uptake value (SUVmax), SUVmean, metabolic tumor volume (MTV) and total lesion glycolysis (TLG) related to the primary tumor at the baseline PET and various clinical factors were recorded. The relation between these factors and overall survival (OS) and progression-free survival (PFS) was evaluated. The study included 258 patients with stage IIIB-IV lung adenocarcinoma (72 female, 186 male, mean age 60.4±10.4 years), 210 of which died and 243 of which progressed at the time of analysis. The median OS and PFS of the patients were 16±1.9 and 5±0.5 months, respectively. The present study revealed no significant relation between OS or PFS and gender, smoking status, presence of distant metastasis, age and tumor size. There was no significant difference in the OS and PFS of patients testing negative for EGFR mutations/ALK rearrangements and those testing positive for both or either of the EGFR mutations and ALK rearrangements. OS was significantly longer in patients with low MTV(p=0.011) and those with low TLG(p=0.012) than high ones. However, no significant relation was found between SUVmax and SUVmean values and OS, and between all PET parameters and PFS. MTV and TLG reflecting the metabolic tumor burden can predict OS in patients with advanced lung adenocarcinoma.

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