Dynamic Telecytology Compares Favorably to Rapid Onsite Evaluation of Endoscopic Ultrasound Fine Needle Aspirates
نویسندگان
چکیده
منابع مشابه
Onsite evaluation of endoscopic ultrasound fine needle aspiration: the endosonographer, the cytotechnologist and the cytopathologist.
Endoscopic ultrasound guided fine needle aspiration (EUS-FNA) has become an essential tool in the management of multiple diseases. Its accuracy is related to different aspects of the technique, one of the most important being the experience and interaction of the endosonographer and pathologist. Certain studies over the past years have highlighted the importance of having rapid on-site evaluati...
متن کاملA meta-analysis of endoscopic ultrasound–fine-needle aspiration compared to endoscopic ultrasound–fine-needle biopsy: diagnostic yield and the value of onsite cytopathological assessment
Background The diagnostic yield of endoscopic ultrasound (EUS) guided fine-needle aspiration (FNA) is variable, and partly dependent upon rapid onsite evaluation (ROSE) by a cytopathologist. Second generation fine-needle biopsy (FNB) needles are being increasingly used to obtain core histological tissue samples. Aims Studies comparing the diagnostic yield of EUS guided FNA versus FNB have reach...
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RM The primary goal of fine-needle aspiration is to acquire individual cells as opposed to tissue, which is the aim of fine-needle biopsy. Cells may not necessarily provide the stroma, or the associated architecture, of the surrounding tissue. Thus, if the surrounding architecture is needed to make a diagnosis, a fine-needle biopsy, which typically uses a core biopsy needle, should provide that.
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BACKGROUND The comparison between endoscopic ultrasound guided fine needle aspiration (EUS-FNA) and endoscopic ultrasound guided fine needle biopsy (EUS-FNB) for the diagnosis of pancreatic masses is still controversial. Many factors can affect the final results. METHODS Databases, such as PubMed, EMBASE, Cochrane Library, and Science Citation Index updated from 2000 to 2016 were searched to ...
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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: Digestive Diseases and Sciences
سال: 2012
ISSN: 0163-2116,1573-2568
DOI: 10.1007/s10620-012-2275-4