Immunocytochemistry versus nucleic acid amplification in fine needle aspirates and tissues of extrapulmonary tuberculosis
نویسندگان
چکیده
منابع مشابه
Nucleic acid amplification of Mycobacterium tuberculosis complex DNA from archival fine needle aspiration smear scrapings vs. fresh fine needle aspirates of tuberculous lymphadenitis.
OBJECTIVE To assess the efficacy of the nucleic acid amplification (NAA) technique for Mycobacterium tuberculosis (MTB) complex from archival fine needle aspirate (FNA) smear scrapings of confirmed cases of extrapulmonary tuberculosis (EPTB) for a retrospective diagnosis of EPTB as compared to NAA from fresh FNA material from the same cases. STUDY DESIGN Smear scrapings from 51 cases; 33 case...
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BACKGROUND The increasing prevalence of extrapulmonary manifestation of tuberculosis with the HIV scourge is a cause for concern. OBJECTIVE To determine the role of fine needle aspiration cytology (FNAC) in the diagnosis of extrapulmonary tuberculosis. PATIENTS AND METHODS This is a consecutive 9-year analysis of patients with peripheral lymphadenopathy. All the patients had fine needle asp...
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BACKGROUND Laboratory-based studies have suggested the nucleic acid amplification test (NAAT) for Mycobacterium tuberculosis may be useful in diagnosing extrapulmonary tuberculosis. We sought to determine how clinicians in one hospital used results of the NAAT in clinical decision making in cases of suspected extrapulmonary tuberculosis. METHODS We performed a retrospective analysis of all pa...
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Background and Objectives: Fine needle aspiration cytology (FNAC) is an established out- patient procedure used in primary diagnosis of palpable thyroid lesions. A modified technique fine needle capillary sampling (FNCS) obviates the need of suction, is less painful, patient friendly and reported to overcome the problem of inadequate and bloody specimens. The aim of our study was to compare the...
متن کاملComputerized Diagnosis of Breast Fine-Needle Aspirates
The goal of this work is to determine the accuracy of computer-based image analysis in diagnosing breast fine-needle aspirates (FNA). On 192 FNAs, the computerbased diagnostic accuracy was 97.9%. This is consistent with the 97.5% accuracy projected by machine learning methods during the initial training in 1994 with 569 FNAs. One of the attributes of this system is the rendering of a value that...
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ژورنال
عنوان ژورنال: Journal of Cytology
سال: 2012
ISSN: 0970-9371
DOI: 10.4103/0970-9371.101151