The Role of 18F-FDG PET/CT on Staging and Prognosis in Patients with Small Cell Lung Cancer

Background We evaluated 18F-FDG PET/CT in small cell lung cancer (SCLC) staging and assessed metabolic (SUVmax, MTV and TLG) and morphologic (CTvol) variables as predictors for overall survival (OS) and progression-free survival (PFS). Methods Patients with newly diagnosed, histopathology-confirmed...

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Veröffentlicht in:European radiology 2016-09, Vol.26 (9), p.3155-3161
Hauptverfasser: Zer, A., Domachevsky, L., Rapson, Y., Nidam, M., Flex, D., Allen, A. M., Stemmer, S. M., Groshar, D., Bernstine, H.
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Sprache:eng
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Zusammenfassung:Background We evaluated 18F-FDG PET/CT in small cell lung cancer (SCLC) staging and assessed metabolic (SUVmax, MTV and TLG) and morphologic (CTvol) variables as predictors for overall survival (OS) and progression-free survival (PFS). Methods Patients with newly diagnosed, histopathology-confirmed SCLC, who underwent 18F-FDG PET/CT were evaluated. A Cox proportional hazard model was used to determine the association between the primary tumour SUVmax, MTV, TLG and CTvol with OS and PFS. Similar evaluations were performed when hilar/mediastinal lymphadenopathy was included [total SUVmax (TSUVmax), total MTV (TMTV) and total TLG (TTLG)]. Results 55 patients were included. 18F-FDG PET/CT changed staging in 6/55 (10.9%) patients who were upstaged to extensive disease. TTLG (>443.8) was a significant variable for OS with HR=2.1 (CI 1.14–3.871, p =0.017). Patients with TTLG>443.8 had a median OS of 13.4 months compared to 25.7 months in patients with TTLG72.4) was significant for PFS with HR=2.3 (CI 1.11 - 4.8, p =0.025). A median PFS of 12.1 and 26.2 months was found with TMTV greater and less than 72.4, respectively ( p =0.005). Conclusions 18F-FDG PET/CT improved staging of patients with SCLC, and TTLG and TMTV can be used as prognostic variables for OS and PFS, respectively. Key Points • Identifying variables that predict the prognosis of patients with SCLC is important. • 18F-FDG PET/CT influences staging of patients with SCLC. • Metabolic parameters could be used as predictors for PFS and OS.
ISSN:0938-7994
1432-1084
DOI:10.1007/s00330-015-4132-2