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Research ArticleHead and Neck Imaging

PET/MR Imaging in Evaluating Treatment Failure of Head and Neck Malignancies: A Neck Imaging Reporting and Data System–Based Study

L.D. Patel, K. Bridgham, J. Ciriello, R. Almardawi, J. Leon, J. Hostetter, S. Yazbek and P. Raghavan
American Journal of Neuroradiology February 2022, DOI: https://doi.org/10.3174/ajnr.A7427
L.D. Patel
aFrom the Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine Ringgold Standard Institution, Baltimore, Maryland
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K. Bridgham
aFrom the Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine Ringgold Standard Institution, Baltimore, Maryland
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J. Ciriello
aFrom the Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine Ringgold Standard Institution, Baltimore, Maryland
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R. Almardawi
aFrom the Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine Ringgold Standard Institution, Baltimore, Maryland
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J. Leon
aFrom the Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine Ringgold Standard Institution, Baltimore, Maryland
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J. Hostetter
aFrom the Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine Ringgold Standard Institution, Baltimore, Maryland
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S. Yazbek
aFrom the Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine Ringgold Standard Institution, Baltimore, Maryland
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P. Raghavan
aFrom the Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine Ringgold Standard Institution, Baltimore, Maryland
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  • FIG 1.
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    FIG 1.

    ROC curves for the performance of PET/MR imaging–based NI-RADS for discriminating treatment failure or no treatment failure. Blue curves reflect the performance of PET/MR imaging for the primary site, neck lymph nodes, and all sites combined. Inflection points in the curves are discrimination points between NI-RADS 1 and 2 and 2 and 3. The red diagonal curve is a reference. The AUC is reported for each curve, with values >0.500 signifying good performance of the test to discriminate treatment failure.

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    FIG 2.

    Conspicuity of disease recurrence with PET/MR imaging. Coronal T1WI post gadolinium (A) shows subtle enhancement along the right soft palate (arrow) in a patient with history of treated SCC. Fused coronal PET/MR imaging (B) demonstrates avid FDG uptake at the area of enhancement (arrow), which was recurrent SCC on biopsy and subsequently treated with wide local excision. Postresection axial T1WI postgadolinium sequence (C) shows ill-defined enhancement in the right oropharynx (arrow) with corresponding avid FDG uptake (D), which was biopsy-proved as SCC.

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    FIG 3.

    PET/MR imaging to evaluate perineural spread of adenoid cystic carcinoma. Coronal T1WI postgadolinium (A) and coronal fused PET/MR imaging (B) of a patient with a history of left maxillary sinus adenoid cystic carcinoma status post resection and radiation. On this initial posttreatment PET/MR imaging, the enhancing tissue along the thickened extraocular muscles (arrow) and infraorbital foramen (dashed arrow) of the left orbit corresponds to areas of increased FDG uptake and increased metabolic activity. The site was scored as NI-RADS 3 at consensus. The patient underwent orbital exenteration, with surgical pathology positive for perineural spread of tumor.

  • FIG 4.
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    FIG 4.

    Interreader variability in the interpretation of PET/MR imaging–based NI-RADS. Axial T1WI postgadolinium sequence (A) and axial fused PET/MR imaging (B) in a patient with a history of maxillary sinus SCC status post subtotal maxillectomy and radiation. On the initial posttreatment PET/MR imaging, enhancing tissue in the pterygopalatine fossa (arrow) does not have corresponding FDG uptake. This primary site finding was scored a 2 by 1 reader (for discordant PET and MR imaging findings) and as a 1 by the other reader (for expected treatment related change). The patient has no evidence of recurrence on follow-up imaging nor clinical evidence of recurrence. In these scenarios, although agreement may not be perfect, the linked NI-RADS management decision of “short interval follow-up” allows these patients to be correctly risk-stratified.

Tables

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    Table 1:

    Univariate association between PET/MR imaging NI-RADS and treatment failure

    PET/MR Imaging NI-RADS ScoreNo. SitesFailureP Value
    Primary site4318 (41.9%)<.001
     1192 (10.5%)
     2125 (41.7%)
     31211 (91.7%)
    Neck lymph nodes435 (11.6%)<.001
     1330 (0.0%)
     261 (16.7%)
     344 (100%)
    Combined sites8623 (26.7%)<.001
     1522 (3.8%)
     2186 (33.3%)
     31615 (93.8%)
    • View popup
    Table 2:

    Receiver operating characteristic AUC values for PET/MR imaging NI-RADS performance

    ROC CurveAUC95% CIP Value
    SCC vs non-SCC subgroups
     NI-RADS 1° site vs 1° failure (SCC)0.8670.688–1.000.007
     NI-RADS 1° site vs 1° failure (non-SCC)0.8560.685–1.000.004
     NI-RADS LN vs LN failure (SCC)1.0001.000–1.000.024
     NI-RADS LN vs LN failure (non-SCC)0.9680.889–1.000.010
     PET/MR imaging NI-RADS by reader
     Reader A 1° site vs 1° failure0.8530.729–0.977<.001
     Reader B 1° site vs 1° failure0.8660.747–0.985<.001
     Reader A LN vs LN failure0.9510.890–1.000<.001
     Reader B LN vs LN failure0.9630.910–1.000<.001
    MRI only NI-RADS by reader
     Reader A 1° site vs 1° failure0.8210.673–0.970<.001
     Reader B 1° site vs 1° failure0.7030.540–0.867.021
     Reader A LN vs LN failure0.7680.533–1.000.052
     Reader B LN vs LN failure0.9000.689–1.000.004
    • Note:—1° indicates the primary site; LN, lymph node.

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L.D. Patel, K. Bridgham, J. Ciriello, R. Almardawi, J. Leon, J. Hostetter, S. Yazbek, P. Raghavan
PET/MR Imaging in Evaluating Treatment Failure of Head and Neck Malignancies: A Neck Imaging Reporting and Data System–Based Study
American Journal of Neuroradiology Feb 2022, DOI: 10.3174/ajnr.A7427

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PET/MR Imaging in Evaluating Treatment Failure of Head and Neck Malignancies: A Neck Imaging Reporting and Data System–Based Study
L.D. Patel, K. Bridgham, J. Ciriello, R. Almardawi, J. Leon, J. Hostetter, S. Yazbek, P. Raghavan
American Journal of Neuroradiology Feb 2022, DOI: 10.3174/ajnr.A7427
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