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Research ArticleHEAD AND NECK IMAGING

[18F]-FDG Uptake as a Marker of Residual Anaplastic and Poorly Differentiated Thyroid Carcinoma following BRAF-Targeted Therapy

Samir A. Dagher, Kim O. Learned, Richard Dagher, Jennifer Rui Wang, Xiao Zhao, S. Mohsen Hosseini, Anastasios Maniakas, Maria E. Cabanillas, Naifa L. Busaidy, Ramona Dadu, Priyanka Iyer, Mark E. Zafereo and Alexander M. Khalaf
American Journal of Neuroradiology May 2025, DOI: https://doi.org/10.3174/ajnr.A8588
Samir A. Dagher
aFrom the Department of Neuroradiology/Head and Neck Imaging (S.A.M., K.O.L., R.D., A.M.K), The University of Texas MD Anderson Cancer Center, Houston, Texas
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  • ORCID record for Samir A. Dagher
Kim O. Learned
aFrom the Department of Neuroradiology/Head and Neck Imaging (S.A.M., K.O.L., R.D., A.M.K), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Richard Dagher
aFrom the Department of Neuroradiology/Head and Neck Imaging (S.A.M., K.O.L., R.D., A.M.K), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Jennifer Rui Wang
bDepartment of Head and Neck Surgery (J.R.W., X.Z., A.M., M.E.Z.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Xiao Zhao
bDepartment of Head and Neck Surgery (J.R.W., X.Z., A.M., M.E.Z.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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S. Mohsen Hosseini
cDepartment of Pathology (S.M.H.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Anastasios Maniakas
bDepartment of Head and Neck Surgery (J.R.W., X.Z., A.M., M.E.Z.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Maria E. Cabanillas
dDepartment of Endocrine Neoplasia and Hormonal Disorders (M.E.C., N.L.B., R.D., P.I.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Naifa L. Busaidy
dDepartment of Endocrine Neoplasia and Hormonal Disorders (M.E.C., N.L.B., R.D., P.I.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Ramona Dadu
dDepartment of Endocrine Neoplasia and Hormonal Disorders (M.E.C., N.L.B., R.D., P.I.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Priyanka Iyer
dDepartment of Endocrine Neoplasia and Hormonal Disorders (M.E.C., N.L.B., R.D., P.I.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Mark E. Zafereo
bDepartment of Head and Neck Surgery (J.R.W., X.Z., A.M., M.E.Z.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Alexander M. Khalaf
aFrom the Department of Neuroradiology/Head and Neck Imaging (S.A.M., K.O.L., R.D., A.M.K), The University of Texas MD Anderson Cancer Center, Houston, Texas
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  • FIG 1.
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    FIG 1.

    Correlation between pathology report and preoperative FDG-PET/CT in a 53-year-old female patient with ATC stage IVB, status post 3.5 months of neoadjuvant dabrafenib/trametinib. A, Lymph node cluster contoured in green, labeled as “Neck, left level IIB, dissection: 4 lymph nodes, negative for tumor (0/4)” on the pathology report. B, Lymph node cluster contoured in purple, labeled as “Neck, left level III, dissection: metastatic anaplastic thyroid carcinoma in 1 of 12 lymph nodes (1/12); tumor size of 1.5 cm with no extranodal extension” on the pathology report. C, Lymph node cluster contoured in yellow, labeled as “Neck, right level III, dissection: 4 lymph nodes, negative for tumor (0/4)” on the pathology report. D, Thyroid tissue contoured in bright blue, labeled as “Thyroid, total thyroidectomy: extensive treatment effect with complete response; exuberant lymphocytic thyroiditis and follicular atrophy with few remaining thyroid follicles” on the pathology report.

  • FIG 2.
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    FIG 2.

    Boxplots illustrating the distribution of SULmax values by pathologic risk. High-risk lesions include anaplastic and PDTC thyroid carcinoma, and low-risk lesions include PTCs and those without residual tumor.

  • FIG 3.
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    FIG 3.

    Boxplots illustrating the distribution of SULmax values across all 4 pathologic grades.

  • FIG 4.
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    FIG 4.

    Representative cases for each of the 4 pathologic grades, illustrated with corresponding axial fusion FDG-PET/CT images, uniformly windowed across all studies. A, 66-year-old male patient with ATC stage IVB, status post 1 year of neoadjuvant dabrafenib/trametinib. Preoperative FDG-PET/CT shows a hypermetabolic right paratracheal lesion (purple) with an SULmax = 8.44. Postoperative pathology of this lesion revealed residual ATC. B, Same patient with prominent right level IV lymph node (bright blue) and low FDG uptake (SULmax = 1.58), which is negative for residual tumor on surgical pathology. C, 70-year-old female patient with ATC stage IVB, status post 16 months of neoadjuvant dabrafenib/trametinib. The right thyroid lobe lesion (yellow) on preoperative FDG-PET/CT has an SULmax of 4.92 and harbors PDTC cells on surgical specimen. D, 72-year-old male patient with ATC stage IVC, status post 5 months of neoadjuvant dabrafenib/trametinib. The prominent right level IV lymph node (green) on preoperative FDG-PET/CT has an SULmax of 3.12 and harbors residual PTC cells on biopsy.

  • FIG 5.
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    FIG 5.

    ROC curve for the preoperative classification of lesions as high-risk or low-risk demonstrates an area under the curve of 0.793 [95% CI, 0.702–0.884], indicating acceptable performance of the SULmax-based classifier. An optimal SULmax threshold of 2.75 is identified and can identify high-risk lesions with a sensitivity, specificity, and accuracy of 0.784 [95% CI, 0.628–0.886], 0.702 [95% CI, 0.573–0.805], and 0.734 [95% CI, 0.637–0.813], respectively. A clinically meaningful cutoff of 1.36 is also identified to prioritize a higher sensitivity 0.919 [95% CI, 0.787–0.972] at the expense of the specificity and accuracy (0.544 [95% CI, 0.416–0.666] and 0.691 [95% CI, 0.592–0.776], respectively). Of note, the latter threshold falls within the physiologic range of background soft tissue uptake in the head and neck.

  • FIG 6.
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    FIG 6.

    Kaplan-Meier curves comparing OS in patients with at least 1 high-risk lesion versus no high-risk lesion in the head and neck based on pathology results and FDG uptake. A, When pathologic risk group is determined via histopathologic assessment of surgically sampled specimens, median OS is 257 days for patients with at least 1 high-risk lesion versus not attained in patients with no high-risk lesions (P = .004, log-rank test). The right-censored cumulative survival for the latter group at the end of follow-up was 81.8% (9/11). B, When SULmax of 2.75 is used as a proxy for high-risk lesions, median OS is 259 days for patients with at least 1 lesion with SULmax ≥2.75 versus not attained in patients without lesion with SULmax ≥2.75 (P = .038, log-rank test) The right-censored cumulative survival for the latter group at the end of follow-up was 75.0% (6/8).

Tables

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    Table 1:

    Baseline characteristics for BRAFV600E-mutant patients with ATC (n=30)

    Baseline CharacteristicSummary Statistic
    Age at surgery, mean (standard deviation)66.5 (9.0)
    Sex, frequency (percent)
     Men17 (56.7%)
     Women13 (43.3%)
    AJCC Eighth Edition stage,30 frequency (percent)
     IVB15 (50.0%)
     IVC15 (50.0%)
    Days of neoadjuvant BRAF/MEK inhibitor therapy, median (IQR)103.5 (79.8–196.5)
    Immunotherapy before and/or after surgery, frequency (percent)28 (93.3%)
     Pembrolizumab25 (89.3%)
     Atezolizumab3 (10.7%)
    Surgically sampled lesions with known pathology
     Low risk (no tumor, PTC)57 (60.6%)
     High risk (PDTC, ATC)37 (39.4%)
    • Note:—AJCC indicates American Joint Committee on Cancer Classification.

    • View popup
    Table 2:

    Predicted pathology risk group on FDG-PET/CT by using the optimal SULmax cutoff of 2.75

    Actual Pathology Risk Group
    High-RiskLow-RiskTotal
    Predicted pathologyHigh-risk291746
    Risk groupLow-risk84048
    Total375794
    • This cutoff can identify high-risk lesions with a sensitivity, specificity, and accuracy of 0.784 [95% CI, 0.628–0.886], 0.702 [95% CI, 0.573–0.805], and 0.734 [95% CI, 0.637–0.813], respectively.

    • View popup
    Table 3:

    Predicted pathology risk group on FDG-PET/CT by using the clinically meaningful SULmax cutoff of 1.36

    Actual Pathology Risk Group
    High-RiskLow-RiskTotal
    Predicted pathologyHigh-risk342660
    Risk groupLow-risk33134
    Total375794
    • Note:—This cutoff can identify high-risk lesions with a sensitivity, specificity, and accuracy of 0.919 [95% CI, 0.787–0.972], 0.544 [95% CI, 0.416–0.666], and 0.691 [95% CI, 0.592–0.776], respectively.

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Samir A. Dagher, Kim O. Learned, Richard Dagher, Jennifer Rui Wang, Xiao Zhao, S. Mohsen Hosseini, Anastasios Maniakas, Maria E. Cabanillas, Naifa L. Busaidy, Ramona Dadu, Priyanka Iyer, Mark E. Zafereo, Alexander M. Khalaf
[18F]-FDG Uptake as a Marker of Residual Anaplastic and Poorly Differentiated Thyroid Carcinoma following BRAF-Targeted Therapy
American Journal of Neuroradiology May 2025, DOI: 10.3174/ajnr.A8588

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FDG Uptake and Thyroid Cancer Post-BRAF Therapy
Samir A. Dagher, Kim O. Learned, Richard Dagher, Jennifer Rui Wang, Xiao Zhao, S. Mohsen Hosseini, Anastasios Maniakas, Maria E. Cabanillas, Naifa L. Busaidy, Ramona Dadu, Priyanka Iyer, Mark E. Zafereo, Alexander M. Khalaf
American Journal of Neuroradiology May 2025, DOI: 10.3174/ajnr.A8588
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