Literature DB >> 10569425

A prospective, blinded comparison of clinical examination and computed tomography in deep neck infections.

W D Miller1, I M Furst, G K Sàndor, M A Keller.   

Abstract

OBJECTIVES/HYPOTHESIS: To determine whether there is a scientific basis for the routine use of contrast-enhanced computed tomography (CECT) in the evaluation of suspected deep neck infection (DNI). STUDY
DESIGN: We conducted a prospective, blinded comparison of clinical examination and CECT in DNI.
METHODS: Thirty-five consecutive patients with suspected DNI were prospectively assessed by clinical examination and CECT for the presence and extent of surgically drainable purulent collections. Before CECT a surgeon recorded clinical data and predicted the extent of infection. A head and neck neuroradiologist, blinded to the clinical evaluation, predicted the extent of infection based on CECT. Final outcome (the presence of a purulent collection) was determined at surgery or in long-term follow-up. The clinical and CECT findings were compared with the final outcome to determine the sensitivity, specificity, and accuracy of each modality.
RESULTS: Twenty patients had purulent drainable collections. The accuracy of clinical examination alone in identifying a drainable collection was 63%, the sensitivity was 55%, and the specificity was 73%. The accuracy of CECT alone was 77%, the sensitivity was 95%, and the specificity 53%. When CECT and clinical examination were combined, the accuracy in identifying a drainable collection was 89%, the sensitivity was 95%, and the specificity 80%. If fluid collections with volumes of 2 mL or greater on CECT were considered, the accuracy of CECT would have been 85%, the sensitivity 89%, and the specificity 80%.
CONCLUSION: CECT and clinical examination are both critical components in the evaluation of suspected DNI.

Entities:  

Mesh:

Year:  1999        PMID: 10569425     DOI: 10.1097/00005537-199911000-00029

Source DB:  PubMed          Journal:  Laryngoscope        ISSN: 0023-852X            Impact factor:   3.325


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