Precise assessment of lymph node metastases is critical to the treatment outcome and overall survival of patients with head and neck squamous cell carcinoma (HNSCC). The purpose of this study was to investigate the effect of time-of-flight (TOF) technique on the diagnostic performance of 18 F-FDG PET/CT for assessment of lymph node metastases in HNSCC patients. Methods: In 39 patients with an initial diagnosis of HNSCC, preoperative staging 18 F-FDG PET/CT was performed to assess lymph node metastases before surgery and histologic verification. Potential lymph node metastases were evaluated and documented separately for the right and left neck in accordance with the head and neck lymph node level classification. Two experienced readers measured lesion volume and uptake for every PET-positive lymph node. Sensitivity, specificity, image quality, and the PET characterization of the lesion (benign or malignant) were compared between different reconstruction methods (TOF PET and standard high-definition PET) and matrices for both readers. Results: TOF PET significantly increased the maximal standardized uptake value (SUV max ) but had no significant effect on lesion volume. However, a higher SUV max did not result in a significant increase in small-lesion detection. Sensitivity and image quality were slightly improved with TOF PET but not significantly so. Matrix, on the other hand, had a significant effect on detected lesion numbers, sensitivity, and image quality. Conclusion: For preoperative assessment of lymph node metastases in HNSCC, 18 F-FDG PET/CT using TOF technique increases SUV max in lesions and improves image quality but has no significant impact on small-lesion detectability. Head and neck squamous cell carcinoma (HNSCC) is still a common cause of death. It is the fifth most common malignancy in the world, with approximately 650,000 new cases reported annually (1). The presence and extent of lymph node metastases is critical for prognosis evaluation and treatment planning. The number, distribution, and size of lymph nodes are equally important for nodal staging of head and neck cancer (2). Ultrasound and conventional cross-sectional imaging, which depend mainly on size criteria, have difficulty in differentiating between reactive lymph nodes and tumor-infiltrated nodes. Diffusionweighted MR imaging of the head and neck region has been shown to improve the outcome of lymph node staging (3). A new dedicated software application, syngo ZOOMit (Siemens Healthcare), has substantially improved image quality and reduced susceptibility artifacts in pancreatic diffusionweighted MR imaging (4) and has also shown practical potential in the head and neck region because it reduces distortion and better delineates cervical lymph nodes. Although head and neck CT scanning and MR imaging are still considered the standard imaging tests for HNSCC, there has been more evidence suggesting that PET should routinely be added to improve staging of nodal or distant disease, detection of unknown primary lesions, and surveillance...