Performance comparison between 18 F-FDG PET/CT Plus brain mri and conventional staging plus brain mri in staging of small cell lung carcinoma

Yuji Kishida, Shinichiro Seki, Takeshi Yoshikawa, Tomoo Itoh, Yoshimasa Maniwa, Yoshihiro Nishimura, Yoshiharu Ohno

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2 Citations (Scopus)


OBJECTIVE. The purpose of this study was to prospectively compare the capabilities of integrated FDG PET/CT and conventional staging for identification of TNM factors, evaluation of the TNM and Veterans Administration Lung Study Group (VALSG) stages, and selection of patients with stage I small cell lung carcinoma (SCLC). SUBJECTS AND METHODS. Fifty-nine patients (mean age, 69.6 ± 7.8 [SD] years; range, 40–84 years) with pathologically diagnosed SCLC underwent integrated 18 F-FDG PET/CT and conventional staging with enhanced brain MRI. TNM and VALSG stages were evaluated by two different reader groups. Kappa statistics and chi-square test result were determined for evaluations of interobserver agreement of all factors and for each clinical stage for both methods. Diagnostic accuracy of identification of each factor and clinical stage was statistically compared by McNemar test. RESULTS. Interobserver agreements for all factors and each clinical stage were assessed as almost perfect for PET/CT (0.83 ≤ κ ≤ 0.93; p < 0.001) and substantial and almost perfect (0.63 ≤ κ ≤ 0.96; p < 0.001) for conventional staging plus enhanced brain MRI. The diagnostic accuracy of PET/CT for N factor and TNM stage (N, 89.8% [53/59]; TNM stage, 88.1% [52/59]) was significantly higher than that of conventional staging plus enhanced brain MRI (N, 67.8% [40/59], p = 0.0002; TNM stage, 72.9% [43/59], p = 0.004). CONCLUSION. Integrated FDG PET/CT with contrast-enhanced brain MRI is potentially equal to or more effective than conventional staging plus enhanced brain MRI for T, N, and M assessment and TNM and VALSG staging of SCLC.

Original languageEnglish
Pages (from-to)185-192
Number of pages8
JournalAmerican Journal of Roentgenology
Issue number1
Publication statusPublished - 07-2018
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging


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