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Finnålsdiagnostik i hoved-hals-området. Hvad er er årsagen til uegnede pröver?
Engelsk titel: Fine-needle aspiration cytology in the evaluation of head and neck tumours. What is the cause of inadequate samples? Läs online Författare: Thomsen JB ; Björndal Sörensen K ; Krogdahl AS Språk: Dan Antal referenser: 16 Dokumenttyp: Artikel UI-nummer: 04091172

Tidskrift

Ugeskrift for Laeger 2004;166(40)3497-9 ISSN 0041-5782 E-ISSN 1603-6824 KIBs bestånd av denna tidskrift Denna tidskrift är expertgranskad (Peer-Reviewed)

Sammanfattning

Introduction: Fine-needle aspiration cytology (FNAC) is a fast, easy, inexpensive and practically risk-free method of evaluating tumours in the head and neck. We performed a retrospective study in which we evaluated the frequency of inadequate FNACs. Materials and methods: 715 FNACs sampled by ear, nose and throat (ENT) specialists in the County of Funen and in the Department of Otorhinolaryngology (ORL), Odense University Hospital, were reviewed to determine the frequency and possible causes of inadequate samples. Results: 715 FNACs were performed, 62% by ENT specialists in their clinics and 38% in the Department of ORL, Odense University Hospital. 32% of the FNACs were inadequate for diagnosis; 6% were inadequate when the indication was malignancy and 36% in other indications. There was a significant difference between the frequency of inadequate samples between those performed by the consultants in the ENT department and those done by the ENT specialists outside the hospital, p=0.007, and also a significant difference between those performed by consultants and non-consultants, p=0.004. Discussion: The frequency of inadequate samples in this study (32%) was higher than that in prospective studies (13%). Several of the FNACs were sampled from a variety of uncharacteristic lesions, with no indication of malignancy. Moreover, a large portion of the samples were performed by relatively inexperienced doctors. Experience, the correct indi-cation and knowledge of aspiration and smear techniques as well as possible pitfalls are essential in avoiding too many inadequate samples.