Current indications and techniques in evaluating inflammatory disease and neoplasia of the sinonasal cavities.
Imaging strategies of the sinonasal cavities have undergone extensive revision over the last 5-year period. The traditional imaging examination of the paranasal sinuses, plain film radiography, does reasonably well in diagnosing maxillary, frontal, and sphenoid sinusitis. However, it less reliable in depicting abnormalities in the ethmoid sinuses, the most common area first affected with inflammatory disease. Compared with sinus computed tomography (CT), plain films prove to be less specific and sensitive in depicting the extent of sinus abnormalities. One series plainly concluded that sinus radiographs were not reliable enough to be an integral part of the clinical decision process. The use of plain radiographs of the sinuses has clearly been reduced by medical cost-containment concerns, replacement by superior techniques, and by clear weaknesses of the modality. Although it is inexpensive and easily accessible, the low sensitivities and inaccuracies of plain film radiography have resulted in the current use of CT and high-field-strength (1.5 Tesla) magnetic resonance imaging (MRI). By using this cross-sectional imaging, we now visualize directly the pathologic conditions within the sinuses, as well as the normal anatomy. We discuss current use of diagnostic imaging in the evaluation of patients with nasosinusoidal complaints (most commonly resulting from acute and chronic inflammatory disease), with complications of sinonasal inflammatory disease, and with suspected/documented neoplasia. In addition to developing an imaging algorithm to provide the information affecting clinical decision making, we detail the specific imaging techniques necessary accurately to obtain that information. We also review the specific concerns about imaging patients in the intensive care unit and touch on several emerging imaging techniques. The imaging workup in pediatric patients and patients with congenital anomalies is beyond the scope of this review.
Goldstein
J H
JH
University of Virginia Health Sciences Center, USA.
Phillips
C D
CD
D000465:Algorithms; D004724:Endoscopy; D006801:Humans; D008279:Magnetic Resonance Imaging; D010255:Paranasal Sinus Neoplasms / Q000000981:diagnostic imaging*; D010256:Paranasal Sinuses / Q000033:anatomy & histology / Q000502:physiology; D012852:Sinusitis / Q000000981:diagnostic imaging* / Q000601:surgery; D014057:Tomography, X-Ray Computed