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Research ArticleClinical Investigation

Diagnostic Accuracy of [18F]FDG PET/MRI in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Metaanalysis

Akram Al-Ibraheem, Ahmed Abdlkadir, Ken Herrmann, Jamshed Bomanji, Hossein Jadvar, Hongcheng Shi, Asem Mansour, Diana Paez, Arturo Chiti and Andrew M. Scott
Journal of Nuclear Medicine October 2024, 65 (10) 1533-1539; DOI: https://doi.org/10.2967/jnumed.124.268049
Akram Al-Ibraheem
1Department of Nuclear Medicine, King Hussein Cancer Center, Amman, Jordan;
2School of Medicine, University of Jordan, Amman, Jordan;
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Ahmed Abdlkadir
1Department of Nuclear Medicine, King Hussein Cancer Center, Amman, Jordan;
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Ken Herrmann
3Department of Nuclear Medicine, West German Cancer Center, University Hospital Essen, Essen, Germany;
4German Cancer Consortium, Partner Site University Hospital Essen, Essen, Germany;
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Jamshed Bomanji
5Institute of Nuclear Medicine, University College London, London, United Kingdom;
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Hossein Jadvar
6Division of Nuclear Medicine and Molecular Imaging, Keck School of Medicine, University of Southern California, Los Angeles, California;
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Hongcheng Shi
7Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China;
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Asem Mansour
8Department of Radiology, King Hussein Cancer Center, Amman, Jordan;
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Diana Paez
9Nuclear Medicine and Diagnostic Imaging Section, International Atomic Energy Agency, Vienna, Austria;
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Arturo Chiti
10Department of Nuclear Medicine, IRCCS Ospedale San Raffaele, Milan, Italy;
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Andrew M. Scott
11Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, Victoria, Australia;
12Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia; and
13Olivia Newton-John Cancer Research Institute and La Trobe University, Heidelberg, Victoria, Australia
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  • FIGURE 1.
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    FIGURE 1.

    (A) Flowchart illustrating criteria for selecting studies to be included in analysis. (B) Summary charts demonstrating results for assessment of risk of bias and applicability concerns for included studies using QUADAS-2 criteria. End results for each domain are expressed as percentages, whereas number of studies is indicated within bars.

  • FIGURE 2.
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    FIGURE 2.

    Summary receiver-operating-characteristic (SROC) curves for PET/MRI in evaluation of primary tumor (A), nodal regions (B), and locoregional HNSCC (C). SENS = sensitivity; SPEC = specificity; AUC = area under curve.

  • FIGURE 3.
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    FIGURE 3.

    Deeks funnel plot showing relatively evenly distributed studies for locoregional HNSCC evaluated by PET/MRI. OR = odds ratio.

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    TABLE 1.

    Summary of Study Characteristics

    ReferenceCountry of studyPatients (n)Age (y)Cancer subtype
    Park et al. (23)South Korea73 (48 M, 25 F)59Various
    Flygare et al. (15)Sweden40 (32 M, 8 F)64Oropharyngeal
    Platzek et al. (16)Germany38 (30 M, 8 F)63Various
    Cebeci et al. (24)Turkey44 (37 M, 7 F)66Various
    Partovi et al. (22)United States14 (13 M, 1 F)55Various
    Loeffelbein et al. (25)Germany33 (21 M, 12 F)57Various
    Piao et al. (26)China60 (45 M, 15 F)51Nasopharyngeal
    Kubiessa et al. (17)Germany17 (13 M, 4 F)60Various
    Kanda et al. (27)Japan30 (24 M, 6 F)67Various
    Murtojärvi et al. (28)Finland52 (36 M, 16 F)64Various
    Becker et al. (18)Switzerland74 (50 M, 24 F)62Various
    Hayashi et al. (19)Japan11 (8 M, 3 F)73Oropharyngeal
    Chan et al. (20)Taiwan113 (86 M, 27 F)51Nasopharyngeal
    Huang et al. (21)Taiwan27 (26 M, 1 F)55Buccal SCC
    Schaarschmidt et al. (29)Germany12 (12 M)60Various
    • SCC = squamous cell carcinoma.

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    TABLE 2.

    Summary of Pooled Sensitivity and Specificity, Positive Likelihood Ratio, Negative Likelihood Ratio, Diagnostic Odds Ratio, and Study Heterogeneity

    Site of analysis*Pooled sensitivityPI2 (%)Pooled specificityPI2 (%)PLRNLRDOR
    Primary tumor93%
    (95% CI, 87%–97%)
    0.44095%
    (95% CI, 86%–99%)
    0.0957.8823.1%
    (95% CI, 6.1%–87.2%)
    0.07%
    (95% CI, 0.04%–0.14%)
    331%
    (95% CI, 64%–1,696%)
    Nodal89%
    (95% CI, 69%–97%)
    0.009898%
    (95% CI, 95%–99%)
    0.017939.1%
    (95% CI, 17.6%–86.8%)
    0.11%
    (95% CI, 0.03%–0.36%)
    358%
    (95% CI, 58%–2,223%)
    Locoregional93%
    (95% CI, 85%–97%)
    0.009796%
    (95% CI, 92%–98%)
    0.007822.3%
    (95% CI, 11.4%–43.8%)
    0.07%
    (95% CI, 0.03%–0.17%)
    315%
    (95% CI, 90%–1,100%)
    • ↵* Primary tumor is per patient; nodal is per lesion; locoregional is overall.

    • PLR = positive likelihood ratio; NLR = negative likelihood ratio; DOR = diagnostic odds ratio.

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    TABLE 3.

    Results of Metaregression Analysis of PET/MRI for Diagnosis of Locoregional HNSCC

    Diagnostic indicators
    CovariateCategory estimateNumber of studiesSensitivityPSpecificityPI2 (%)
    Study subjectsOne HNSCC subtype2100%
    (95% CI, 99%–100%)
    0.0098%
    (95% CI, 95%–100%)
    0.6881
    Various HNSCC* subtype1088%
    (95% CI, 81%–95%)
    95%
    (95% CI, 92%–98%)
    Study designProspective594%
    (95% CI, 87%–100%)
    0.6095%
    (95% CI, 91%–100%)
    0.260
    Retrospective794%
    (95% CI, 83%–100%)
    96%
    (95% CI, 93%–100%)
    MRI fusionSimultaneous992%
    (95% CI, 85%–99%)
    0.2796%
    (95% CI, 93%–99%)
    0.530
    Retrospective396%
    (95% CI, 89%–100%)
    94%
    (95% CI, 85%–100%)
    MRI acquisitionWith DWI382%
    (95% CI, 61%–100%)
    0.0893%
    (95% CI, 85%–100%)
    0.0333
    Without DWI995%
    (95% CI, 91%–100%)
    97%
    (95% CI, 94%–99%)
    Reference standardPathologic590%
    (95% CI, 78%–100%)
    0.5589%
    (95% CI, 80%–98%)
    0.9267
    Clinical and pathologic795%
    (95% CI, 89%–100%)
    98%
    (95% CI, 96%–99%)
    QUADAS-2 riskPresence597%
    (95% CI, 92%–100%)
    0.0696%
    (95% CI, 91%–100%)
    0.2616
    Absence789%
    (95% CI, 79–99)
    96%
    (95% CI, 93%–99%)
    Publication year4.870.690.9659
    • ↵* Various HNSCC refers to studies evaluating PET/MRI in patients with single primary HNSCC, regardless of its anatomic origin (more than one anatomic origin). Studies evaluating PET/MRI in patients with single primary HNSCC of similar anatomic origin, such as nasopharyngeal HNSCC, are referred to as one HNSCC subtype.

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    TABLE 4.

    Subgroup Analysis of Comparative Studies Featuring Other Modalities

    Diagnostic indicators
    Domain*ModalityNumber of studiesSensitivityPSpecificityPI2 (%)
    Locoregional HNSCCPET/MRI595% (95% CI, 90%–100%)0.1597% (95% CI, 94%–100%)0.2533
    PET/CT86% (95% CI, 74%–99%)94% (95% CI, 88%–100%)
    Locoregional HNSCCPET/MRI493% (95% CI, 86%–100%)0.1198% (95% CI, 95%–100%)0.8526
    MRI82% (95% CI, 64%–99%)98% (95% CI, 95%–100%)
    Nodal HNSCCPET/MRI395% (95% CI, 89%–100%)0.1699% (95% CI, 97%–100%)0.3133
    MRI86% (95% CI, 66%–100%)99% (95% CI, 98%–100%)
    Nodal HNSCCPET/MRI298% (95% CI, 92%–100%)0.0699% (95% CI, 99%–100%)0.0349
    PET/CT87% (95% CI, 68%–100%)97% (95% CI, 96%–99%)
    • ↵* Per lesion.

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Journal of Nuclear Medicine: 65 (10)
Journal of Nuclear Medicine
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October 1, 2024
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Diagnostic Accuracy of [18F]FDG PET/MRI in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Metaanalysis
Akram Al-Ibraheem, Ahmed Abdlkadir, Ken Herrmann, Jamshed Bomanji, Hossein Jadvar, Hongcheng Shi, Asem Mansour, Diana Paez, Arturo Chiti, Andrew M. Scott
Journal of Nuclear Medicine Oct 2024, 65 (10) 1533-1539; DOI: 10.2967/jnumed.124.268049

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Diagnostic Accuracy of [18F]FDG PET/MRI in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Metaanalysis
Akram Al-Ibraheem, Ahmed Abdlkadir, Ken Herrmann, Jamshed Bomanji, Hossein Jadvar, Hongcheng Shi, Asem Mansour, Diana Paez, Arturo Chiti, Andrew M. Scott
Journal of Nuclear Medicine Oct 2024, 65 (10) 1533-1539; DOI: 10.2967/jnumed.124.268049
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Keywords

  • head and neck squamous cell carcinoma
  • HNSCC
  • metaanalysis
  • [18F]FDG
  • PET/MRI
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