Literature DB >> 11339569

Telediagnosis of transbronchial fine needle aspirations--a feasibility study.

K Kayser1, G Kayser, H D Becker, F Herth.   

Abstract

AIM: To analyze the diagnostic accuracy of telediagnostic procedures for transbronchial fine needle aspirations.
MATERIAL AND METHODS: A double blind study was performed on cytological slides of 54 randomly selected cases with transbronchial fine needle aspirations. The slides were digitized using a Leica digital camera DC100 mounted on a microscope Leica Laborlux S, and analyzed by an experienced pathologist without knowing the definite diagnosis or any additional clinical data. The diagnoses stated by analyzing the digital images were compared to the final conventional diagnoses. In addition, the duration of the digital diagnosis, used magnifications, and difficulties for correct sampling were documented.
RESULTS: The "digital" diagnoses of the 54 cases were all in general agreement with the definite diagnoses. No wrong positive or wrong negative case in respect to malignant/non-malignant (31/23) or to small cell/non-small cell (9/22) occurred. The performance of a digital diagnosis lasted for 115 s at average (15-260 s), and is significantly longer compared to that of conventional fine needle aspiration judgement (20 s). The screening magnification was commonly set to x2.5, that for definite diagnostic analysis x40. Benign diseases (2 tuberculosis and 3 sarcoidosis cases) were correctly classified.
CONCLUSIONS: Telepathology systems can probably be used for fine needle aspiration analysis without major diagnostic errors. Their use can improve the endoscopic sampling and avoid second anesthesia when missing the lesion of request during the first examination.

Entities:  

Mesh:

Year:  2000        PMID: 11339569      PMCID: PMC4618217          DOI: 10.1155/2000/103073

Source DB:  PubMed          Journal:  Anal Cell Pathol        ISSN: 0921-8912            Impact factor:   2.916


  3 in total

1.  History and structures of telecommunication in pathology, focusing on open access platforms.

Authors:  Klaus Kayser; Stephan Borkenfeld; Amina Djenouni; Gian Kayser
Journal:  Diagn Pathol       Date:  2011-11-07       Impact factor: 2.644

2.  The history of pathology informatics: A global perspective.

Authors:  Seung Park; Anil V Parwani; Raymond D Aller; Lech Banach; Michael J Becich; Stephan Borkenfeld; Alexis B Carter; Bruce A Friedman; Marcial Garcia Rojo; Andrew Georgiou; Gian Kayser; Klaus Kayser; Michael Legg; Christopher Naugler; Takashi Sawai; Hal Weiner; Dennis Winsten; Liron Pantanowitz
Journal:  J Pathol Inform       Date:  2013-05-30

3.  Theory of sampling and its application in tissue based diagnosis.

Authors:  Klaus Kayser; Holger Schultz; Torsten Goldmann; Jürgen Görtler; Gian Kayser; Ekkehard Vollmer
Journal:  Diagn Pathol       Date:  2009-02-16       Impact factor: 2.644

  3 in total

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