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While contrast\u2010enhanced CT is the standard imaging modality for evaluating head and neck infections, MRI can better characterize the skull base, intracranial involvement, and osteomyelitis, implying that these are complementary techniques for a comprehensive assessment. Both CT and MRI are useful in the evaluation of abscesses and thrombophlebitis, while MRI is especially useful in the evaluation of intracranial inflammatory spread\/abscess formation, differentiation of abscess from other conditions, evaluation of the presence and activity of inflammation and osteomyelitis, evaluation of mastoid extension in middle ear cholesteatoma, and evaluation of facial neuritis and labyrinthitis. Apparent diffusion coefficient derived from diffusion\u2010weighted imaging is useful for differential diagnosis and treatment response of head and neck infections in various anatomical sites. Dynamic contrast\u2010enhanced MRI perfusion may be useful in assessing the activity of skull base osteomyelitis. MR bone imaging may be of additional value in evaluating bony structures of the skull base and jaw. Dual\u2010energy CT is helpful in reducing metal artifacts, evaluating deep neck abscess, and detecting salivary stones. Subtraction CT techniques are used to detect progressive bone\u2010destructive changes and to reduce dental amalgam artifacts. This article provides a region\u2010based approach to the imaging evaluation of head and neck infections, using both conventional and advanced imaging techniques.<\/jats:p>","DOI":"10.1111\/jon.13099","type":"journal-article","created":{"date-parts":[[2023,3,15]],"date-time":"2023-03-15T22:15:41Z","timestamp":1678918541000},"page":"477-492","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Advanced imaging of head and neck infections"],"prefix":"10.1111","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6913-5307","authenticated-orcid":false,"given":"Akira","family":"Baba","sequence":"first","affiliation":[{"name":"Division of Neuroradiology, Department of Radiology University of Michigan  Ann Arbor Michigan 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