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Research ArticleMethodologic Perspectives

A Meta-Analysis on the Diagnostic Performance of 18F-FDG and 11C-Methionine PET for Differentiating Brain Tumors

C. Zhao, Y. Zhang and J. Wang
American Journal of Neuroradiology June 2014, 35 (6) 1058-1065; DOI: https://doi.org/10.3174/ajnr.A3718
C. Zhao
aFrom the Department of Nuclear Medicine (C.Z., J.W.), Hangzhou First People's Hospital, Hangzhou Cancer Hospital, Hangzhou, China
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Y. Zhang
bDepartment of Nuclear Medicine (Y.Z.), Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
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J. Wang
aFrom the Department of Nuclear Medicine (C.Z., J.W.), Hangzhou First People's Hospital, Hangzhou Cancer Hospital, Hangzhou, China
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    Fig 1.

    Flow chart of identification of eligible studies.

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    Fig 2.

    HSROC curve of 18F-FDG-PET for differentiating brain tumors.

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    Fig 3.

    HSROC curve of 11C-MET PET for differentiating brain tumors.

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    Table 1:

    Metaregression analyses and diagnostic performance of 18F-FDG-PET in subgroups of brain tumors

    AnalysisNo. of Studies (pts)I2 of Metaregression (95% CI, P Value)Independent Estimates (95% CI)LR (95% CI)
    SensitivitySpecificityLR+LR−
    Design
        Retrospective9 (333)0.00 (0–100, .86)0.71 (0.58–0.81)0.73 (0.57–0.85)2.63 (1.68–4.13)0.40 (0.29–0.55)
        Prospective15 (524)0.71 (0.60–0.79)0.80 (0.66–0.89)3.45 (1.96–6.07)0.37 (0.26–0.52)
    PET or PET/CT
        PET17 (511)0.00 (0–100, .38)0.74 (0.64–0.81)0.74 (0.60–0.84)2.82 (1.74–4.55)0.36 (0.25–0.51)
        PET/CT7 (346)0.65 (0.50–0.78)0.84 (0.68–0.92)3.97 (2.09–7.54)0.42 (0.29–0.59)
    PET measurement
        Qualitative19 (757)57.87 (4.96–100, .09)0.69 (0.60–0.76)0.79 (0.67–0.87)3.24 (2.00–5.24)0.40 (0.30–0.52)
        Quantitative4 (85)0.86 (0.71–0.94)0.67 (0.43–0.84)2.59 (1.40–4.81)0.21 (0.09–0.45)
    Malignant grade
        Low14 (330)a0.00 (0–100, .46)0.60 (0.35–0.81)0.79 (0.64–0.89)2.87 (1.52–5.41)0.50 (0.27–0.92)
        High17 (473)a0.74 (0.68–0.80)0.78 (0.65–0.87)3.35 (2.09–5.38)0.33 (0.26–0.42)
        NS7 (192)0.70 (0.50–0.84)0.70 (0.54–0.82)2.33 (1.47–3.67)0.44 (0.26–0.74)
    Disease status
        SPBT3 (127)b77.72 (51.54–100, .01)0.43 (0.28–0.59)0.74 (0.49–0.90)1.67 (0.59–4.76)0.77 (0.48–1.24)
        SRBT20 (643)b0.75 (0.67–0.81)0.79 (0.66–0.88)3.51 (2.17–5.66)0.32 (0.25–0.41)
    Histology
        Glioma17 (609)c,d0.00 (0–100, .47)0.75 (0.64–0.83)0.78 (0.64–0.87)3.36 (2.02–5.59)0.33 (0.23–0.47)
        Nonglioma or NS8 (250)c0.64 (0.52–0.75)0.75 (0.63–0.84)2.58 (1.69–3.94)0.48 (0.35–0.65)
    • Note:—NS indicates not separable; pts, patients.

    • ↵a Patients with nonneoplastic lesions in 14 studies2,6⇓–8,11,12,15,16,18,19,21,23⇓–25 were used for both low- and high-grade subgroups.

    • ↵b Patients with nonneoplastic lesions in 2 studies8,25 were used for both SPBT and SRBT subgroups.

    • ↵c Five patients with nonneoplastic lesions from Hong et al 201116 were used for both glioma and nonglioma subgroups.

    • ↵d One patient with lymphoma in Pauleit et al 20098 and 2 patients with esthesioblastoma and renal cell metastasis in Kahn et al 199412 were excluded from subgroup analysis.

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    Table 2:

    Diagnostic performance of 11C-MET PET in subgroups of brain tumors

    AnalysisNo. of Studies (pts)Independent Estimates (95% CI)LR (95% CI)
    SensitivitySpecificityLR+LR−
    Design
        Prospective4 (156)0.91 (0.84–0.95)0.92 (0.78–0.97)11.49 (3.87–34.08)0.10 (0.06–0.18)
        Retrospective7 (260)0.91 (0.81–0.96)0.84 (0.73–0.90)5.50 (3.18–9.51)0.11 (0.05–0.24)
    PET measurement
        Qualitative5 (189)0.93 (0.87–0.96)0.85 (0.73–0.92)6.10 (3.34–11.15)0.08 (0.04–0.16)
        Quantitative6 (227)0.89 (0.79–0.94)0.89 (0.74–0.96)8.38 (3.07–22.88)0.13 (0.07–0.25)
    PET or PET/CT
        PET7 (232)0.86 (0.78–0.91)0.89 (0.72–0.96)7.96 (2.75–23.00)0.16 (0.10–0.26)
        PET/CT4 (184)0.95 (0.89–0.97)0.86 (0.74–0.93)6.62 (3.48–12.59)0.06 (0.03–0.13)
    Malignant grade
        Low5 (97)a0.90 (0.76–0.96)0.88 (0.77–0.94)7.44 (3.68–15.02)0.12 (0.05–0.30)
        High7 (132)a0.98 (0.75–1.00)0.88 (0.75–0.95)8.51 (3.78–19.17)0.02 (0.00–0.34)
        NS4 (153)0.87 (0.79–0.93)0.87 (0.69–0.96)6.93 (2.52–19.04)0.15 (0.08–0.26)
    Disease status
        SPBT2 (85)0.95 (0.85–0.98)0.83 (0.65–0.93)5.49 (2.47–12.21)0.07 (0.02–0.20)
        SRBT8 (238)0.92 (0.83–0.97)0.87 (0.75–0.93)6.81 (3.39–13.69)0.09 (0.04–0.21)
        NS2 (93)0.88 (0.78–0.94)0.95 (0.71–0.99)16.69 (2.47–112.66)0.13 (0.07–0.24)
    Histology
        Glioma9 (292)b0.92 (0.85–0.95)0.87 (0.76–0.93)7.01 (3.67–13.38)0.10 (0.05–0.18)
        Nonglioma and NS4 (182)b0.88 (0.79–0.93)0.83 (0.66–0.92)5.07 (2.39–10.79)0.14 (0.08–0.28)
    • Note:—NS indicates not separable; pts, patients.

    • ↵a Patients with non-neoplastic lesions in 5 studies23⇓–25,30,43 were used for both low and high grade subgroups.

    • ↵b Patients with non-neoplastic lesions in 2 studies29,41 were used for both glioma and non-glioma subgroups.

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American Journal of Neuroradiology: 35 (6)
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C. Zhao, Y. Zhang, J. Wang
A Meta-Analysis on the Diagnostic Performance of 18F-FDG and 11C-Methionine PET for Differentiating Brain Tumors
American Journal of Neuroradiology Jun 2014, 35 (6) 1058-1065; DOI: 10.3174/ajnr.A3718

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A Meta-Analysis on the Diagnostic Performance of 18F-FDG and 11C-Methionine PET for Differentiating Brain Tumors
C. Zhao, Y. Zhang, J. Wang
American Journal of Neuroradiology Jun 2014, 35 (6) 1058-1065; DOI: 10.3174/ajnr.A3718
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