Document Detail


PAPNET for cervical cytology screening. Experience in Greece.
MedLine Citation:
PMID:  9987447     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: To validate the efficacy of PAPNET for cervical cytology screening. STUDY DESIGN: From a total of 50,000 gynecologic cases we selected 24 primarily negative smears from patients who, during follow-up, developed a precancerous lesion or cancer in a short time, ranging from a few months to two years. These negative smears were rescreened by the PAPNET automated system and reevaluated by two observers. A third observer blindly reevaluated the same cases manually. RESULTS: Reevaluation after PAPNET screening showed one false negative smear, for a rate comparable to that of manual reevaluation, which also reclassified the same case. The time required to interpret a smear using the PAPNET system was approximately one minute, while the time required for conventional manual screening was approximately five. CONCLUSION: PAPNET is an efficient and fast screener for the detection of precancerous cervical lesions and cancer.
Authors:
S Veneti; M Papaefthimiou; H Symiakaki; L Ioannidou-Mouzaka
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Acta cytologica     Volume:  43     ISSN:  0001-5547     ISO Abbreviation:  Acta Cytol.     Publication Date:    1999 Jan-Feb
Date Detail:
Created Date:  1999-02-25     Completed Date:  1999-02-25     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0370307     Medline TA:  Acta Cytol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  30-3     Citation Subset:  IM    
Affiliation:
Department of Cytology, Lito Hospital for Women, Athens, Greece.
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MeSH Terms
Descriptor/Qualifier:
False Negative Reactions
Female
Follow-Up Studies
Greece
Humans
Image Processing, Computer-Assisted / instrumentation,  standards
Laboratories, Hospital / standards
Mass Screening / instrumentation*,  standards*
Neural Networks (Computer)*
Pathology, Clinical / instrumentation,  standards
Quality Control
Uterine Cervical Neoplasms / diagnosis,  pathology
Vaginal Smears / instrumentation*,  standards*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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