Back to Search
Start Over
[Diagnosis of diseases of the large salivary glands of the head by ultrasound, sialography and CT-sialography. A comparison of methods]
- Source :
- HNO. 41(7)
- Publication Year :
- 1993
-
Abstract
- In the present study 162 patients with clinically suspected diseases of the major salivary glands were examined via sonography (n = 162), sialography (n = 111) and CT-sialography (n = 49). The reliability of the three radiological procedures was assessed in diagnosing sialoadenitis, sialolithiasis and glandular and extraglandular tumors. Forty-seven patients were examined with all three methods, 64 patients with sonography and sialography, 2 patients with sonography and CT-sialography and 49 patients with only sonography. The results were compared retrospectively with histologically (70%), cytologically (26%) and clinically proven diagnoses. A sialoadenitis was diagnosed via sonography at a sensitivity of 58%. Sialography frequently produced a false diagnosis of "glandular tumor", which resulted in a comparatively lower sensitivity of 54%. This finding contrasted with the experiences of other authors. A glandular tumor was correctly diagnosed by all three methods and had approximately the same sensitivity (sonography 89%, sialograph 91% and CT-sialography 92%). The correct diagnosis of salivary gland tumors was found by sonography and CT-sialography in 76% of cases and by sialography in 83% of cases. CT-sialography was clearly the superior diagnostic method for detecting extraglandular tumors. Sonography proved its worth as the fundamental procedure for special diagnostic testings of the salivary glands. Sialography is necessary for obtaining important additional information, especially in cases with suspect glandular tumors. CT-sialography is indispensable in the diagnosis of tumors, especially if a malignant, extraglandular or medially localized process is suspected.
Details
- Language :
- German
- ISSN :
- 00176192
- Volume :
- 41
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- HNO
- Accession number :
- edsair.pmid..........e41983bbbd722b6c1ca977ab59c2e0d3