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FDG-PET staging and importance of lymph node SUV in head and neck cancer.

By Gregory J Kubicek, Collin Champ, Shannon Fogh, Fen Wang, Eashwer Reddy, Charles Intenzo, Reginald W Dusing and Mitchell Machtay


OBJECTIVES: The role of positron emission tomography (PET) with fluoro-deoxy-glucose (FDG) in the staging of head and neck cancer (HNC) is unclear. The NCCN guidelines do not recommend FDG-PET as a part of standard workup. The purpose of this report is to examine the role of FDG-PET imaging in altering management and providing prognostic information for HNC. METHODS: Retrospective review of HNC patients who had a staging FDG-PET scan performed at either Thomas Jefferson University or University of Kansas Medical Center between the years 2001 and 2007. A total of 212 PET scans were performed in patients who went on to receive radiotherapy. RESULTS: The median follow-up time for all patients was 469 days. The PPV and NPV of PET imaging to correctly identify lymph node status was 94% and 89% respectively. Lymph nodes with extracapsular extension (ECE) had higher SUVs than nodes without ECE, 11.0 vs. 5.0 (p \u3c 0.0007). Maximum SUV for the primary tumor \u3e 8.0 was predictive of worse overall survival (p \u3c 0.045), while the SUV of the lymph nodes was predictive for distant recurrence at one year--with a mean SUV value of 10.4 for patients with distant failure vs. 7.0 without (p \u3c 0.05). CONCLUSIONS: FDG-PET staging in head and neck cancer has good positive and negative predictive values in determining lymph node status. The maximum SUV of the primary tumor is predictive of overall survival. This is the first report to find that the SUV of a lymph node is predictive for ECE and also for distant recurrence

Topics: Disease-Free Survival, Female, Fluorodeoxyglucose F18, Head and Neck Neoplasms, Humans, Lymph Nodes, Lymphatic Metastasis, Male, Middle Aged, Neoplasm Staging, Positron-Emission Tomography, Prognosis, Radiopharmaceuticals, Retrospective Studies, Medicine and Health Sciences, Oncology
Publisher: Jefferson Digital Commons
Year: 2010
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