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Research ArticleClinical Investigations

Prognostic Value of Metabolic Tumor Volume and Total Lesion Glycolysis in Head and Neck Cancer: A Systematic Review and Meta-Analysis

Kyoungjune Pak, Gi Jeong Cheon, Hyun-Yeol Nam, Seong-Jang Kim, Keon Wook Kang, June-Key Chung, E. Edmund Kim and Dong Soo Lee
Journal of Nuclear Medicine June 2014, 55 (6) 884-890; DOI: https://doi.org/10.2967/jnumed.113.133801
Kyoungjune Pak
1Department of Nuclear Medicine, Seoul National University Hospital, Seoul, Korea
2Department of Nuclear Medicine, Pusan National University Hospital, Busan, Korea
3Medical Research Institute, Pusan National University Hospital, Busan, Korea
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Gi Jeong Cheon
1Department of Nuclear Medicine, Seoul National University Hospital, Seoul, Korea
4Cancer Research Institute, Seoul National University Hospital, Seoul, Korea
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Hyun-Yeol Nam
5Department of Nuclear Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
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Seong-Jang Kim
2Department of Nuclear Medicine, Pusan National University Hospital, Busan, Korea
3Medical Research Institute, Pusan National University Hospital, Busan, Korea
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Keon Wook Kang
1Department of Nuclear Medicine, Seoul National University Hospital, Seoul, Korea
4Cancer Research Institute, Seoul National University Hospital, Seoul, Korea
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June-Key Chung
1Department of Nuclear Medicine, Seoul National University Hospital, Seoul, Korea
4Cancer Research Institute, Seoul National University Hospital, Seoul, Korea
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E. Edmund Kim
6WCU Graduate School of Concergence Science and Technology, Seoul National University College of Medicine, Seoul, Korea; and
7University of California at Irvine, Irvine, California
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Dong Soo Lee
1Department of Nuclear Medicine, Seoul National University Hospital, Seoul, Korea
4Cancer Research Institute, Seoul National University Hospital, Seoul, Korea
6WCU Graduate School of Concergence Science and Technology, Seoul National University College of Medicine, Seoul, Korea; and
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  • FIGURE 1.
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    FIGURE 1.

    Flowchart of study selection.

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    FIGURE 2.

    Forest plots of HR for events with MTV.

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    FIGURE 3.

    Forest plots of HR for events with TLG.

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    FIGURE 4.

    Forest plots of HR for deaths with MTV.

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    FIGURE 5.

    Forest plots of HR for death with TLG.

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    FIGURE 6.

    General protocol for analyzing volumetric parameters.

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    TABLE 1

    Studies Included in Meta-Analysis

    Cutoff values
    StudyYearCountryStudy designQuality score (%)No. of patientsDiseaseTNM stagingTreatmentEndpointsVolumetric parametersVOITumor delineation (thresholds)Determination of cutoff valuesMTV (cm3)TLG
    Chung et al. (16)2009KoreaR8082N/O/HI–IVRTx/CCRTxDFSMTVT + LNSUV2.5Minimum P value method40
    Xie et al. (8)2009ChinaR72.541NI–IVRTx/CCRTxDFS/OSMTV/TLGTSUV2.5ROC30130
    Kim et al. (15)2011KoreaR72.569Or/O/H/LIII/IVop + RTx/op + CCRTxDFS/OSMTVT + LNSUV2.5Minimum P value method41
    Chan et al. (19)2011TaiwanP85196NIII/IVCCRTxDFS/OSMTV/TLGTSUV2.5Minimum P value method45330
    Park et al. (2)2013KoreaR82.581H/LIII/IVop/op + RTx/op + CTxLRC/OSMTVTSUV2.5ROC18
    Kao et al. (17)2012TaiwanR8064O/HII–IVCCRTxDFSMTVTSUV2.5Median13.6
    Chang et al. (18)2012TaiwanP80108NI–IVRTx/CCRTxDFS/OSTLGTSUV2.5Median65
    Dibble et al. (20)2012United StatesR7545Or/OI–IVop/CCRTx/RTx/CTxOSMTV/TLGTGradient segmentationMedian7.755
    Lim et al. (21)2012United StatesR82.5176OI–IVCCRTxOSMTV/TLGTSUVmax42%Median9.679.8
    Lee et al. (22)2012KoreaR8557OrI–IVop/op + CTxOSMTV/TLGTSUV2.5Minimum P value method7.78
    Abd El-Hafez et al. (23)2013TaiwanP85126OrII–IVop/op + RTx/op + CCRTxDFSMTV/TLGTSUV3.0Median11.271.4
    Ryu et al. (24)2013KoreaR82.549SI–IVop/op + RTx/op + CCRTxPFS/OSMTV/TLGT + LNSUVmax30%ROC17.756.3
    Garsa et al. (25)2013United StatesR7086OI–IVRTxDFS/OSMTV/TLGT + LNSUVmax50%ROC20.5
    • R = retrospective; N = nasopharynx; O = oropharynx; H = hypopharynx; RTx = radiotherapy; CCRTx = concurrent chemoradiotherapy; DFS = disease-free survival; T = tumor; Or = oral cavity; L = larynx; op = surgery; P = prospective; LRC = locoregional control; CTx = chemotherapy; S = salivary gland; PFS = progression free survival.

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    TABLE 2

    Subgroup Analyses

    EndpointVolumetric parametersFactorNo. of studiesHR95% CI of HRHeterogeneity, I2 (%)Model used
    EFSMTVVOI:
    • Tumor53.032.22–4.130Random effects
    • Tumor + LN33.151.80–5.510Fixed effect
    Tumor delineation:
    • Fixed SUV2.563.172.30–4.360Random effects
    • Others22.781.66–4.6650Fixed effect
    Cutoff values:
    • ROC34.302.46–7.540Fixed effect
    • Others52.752.02–3.750Random effects
    TLGTumor delineation:
    • Fixed SUV2.533.452.33–5.120Fixed effect
    • Others22.591.55–4.3112Fixed effect
    OSMTVVOI:
    • Tumor63.192.28–4.480Random effects
    • Tumor + LN24.712.60–8.540Fixed effect
    Tumor delineation:
    • Fixed SUV2.544.092.63–6.360Random effects
    • Others43.231.95–5.3432Random effects
    Cutoff values:
    • ROC44.572.89–7.250Random effects
    • Others42.932.0–4.290Random effects
    TLGTumor delineation:
    • Fixed SUV2.533.902.45–6.210Fixed effect
    • Others32.461.51–4.020Fixed effect
    • View popup
    TABLE 3

    Pooled HRs of Parameters

    EndpointParameterHR95% CI of HRP
    EFSSUVmax1.831.39–2.42<0.0001
    MTV3.062.33–4.01<0.00001
    TLG3.102.27–4.24<0.00001
    OSSUVmax2.361.48–3.770.0003
    MTV3.512.62–4.72<0.00001
    TLG3.142.24–4.40<0.00001
    • View popup
    TABLE 4

    Previous Meta-Analyses of HNC

    StudyYearCountryNo. of studiesNo. of patientsClassificationEffect size
    Yongkui et al. (29)2013China14742Pretreatment, staging, detection of regional nodal metastasisSensitivity/specificity
    Xu et al. (31)2012China81,147Pretreatment, staging, detection of distant malignanciesSensitivity/specificity
    Xu et al. (32)2011China121,276Pretreatment, staging, detection of distant metastases and second primary cancersSensitivity/specificity
    Kyzas et al. (30)2008Greece321,236Pretreatment, staging, detection of cervical node metastasesSensitivity/specificity
    Yi et al. (33)2013China172,912Pretreatment, staging, detection of bone metastasisSensitivity/specificity
    Xu et al. (34)2011China151,445Pretreatment, staging, detection of distant metastasisSensitivity/specificity
    Isles et al. (36)2008United Kingdom27917Posttreatment, follow-up, detection of residual or recurrent disease after chemoradiotherapySensitivity/specificity
    Gupta et al. (35)2011India512,335Posttreatment, follow-up, detection of residual or recurrent disease or metastasisSensitivity/specificity
    Zhang et al. (37)2010China8495Prognosis, DFS/OSRisk ratio
    Xie et al. (38)2011China261,415Prognosis, DFS/OS/LRCOdds ratio
    • DFS = disease-free survival; LRC = locoregional control.

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Journal of Nuclear Medicine: 55 (6)
Journal of Nuclear Medicine
Vol. 55, Issue 6
June 1, 2014
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Prognostic Value of Metabolic Tumor Volume and Total Lesion Glycolysis in Head and Neck Cancer: A Systematic Review and Meta-Analysis
Kyoungjune Pak, Gi Jeong Cheon, Hyun-Yeol Nam, Seong-Jang Kim, Keon Wook Kang, June-Key Chung, E. Edmund Kim, Dong Soo Lee
Journal of Nuclear Medicine Jun 2014, 55 (6) 884-890; DOI: 10.2967/jnumed.113.133801

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Prognostic Value of Metabolic Tumor Volume and Total Lesion Glycolysis in Head and Neck Cancer: A Systematic Review and Meta-Analysis
Kyoungjune Pak, Gi Jeong Cheon, Hyun-Yeol Nam, Seong-Jang Kim, Keon Wook Kang, June-Key Chung, E. Edmund Kim, Dong Soo Lee
Journal of Nuclear Medicine Jun 2014, 55 (6) 884-890; DOI: 10.2967/jnumed.113.133801
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