Document Detail


Early molar pregnancy: experience in a large abortion service.
MedLine Citation:
PMID:  20103454     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: With 1.1 million US women having first-trimester abortions annually, clinicians have an opportunity to diagnose molar pregnancy early. Early moles, however, may lack "classic" diagnostic hallmarks. STUDY DESIGN: This study aimed to assess the accuracy of the diagnosis of hydatidiform mole in women seeking abortion services at a large Planned Parenthood affiliate. We retrospectively identified women with a histopathologic diagnosis of mole from the affiliate's risk management database. The tissue specimens were reviewed by an expert independent pathologist and analyzed by flow cytometry and p57(KIP2) immunohistochemical staining to clarify the diagnosis. RESULTS: Of 21 patients who received an initial histopathologic diagnosis of mole, only six proved to have the condition. The interobserver correlation coefficient (kappa) for pathology examination was (-) 0.353. Overdiagnosis of partial moles was the most common error. CONCLUSIONS: Improved, cost-effective strategies for detection of early moles would benefit patients and providers.
Authors:
Maureen Paul; Suzan Goodman; Juan Felix; Rebekah Lewis; Mitchel Hawkins; Eleanor Drey
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Publication Detail:
Type:  Journal Article     Date:  2009-09-30
Journal Detail:
Title:  Contraception     Volume:  81     ISSN:  1879-0518     ISO Abbreviation:  Contraception     Publication Date:  2010 Feb 
Date Detail:
Created Date:  2010-01-27     Completed Date:  2010-03-31     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0234361     Medline TA:  Contraception     Country:  United States    
Other Details:
Languages:  eng     Pagination:  150-6     Citation Subset:  IM    
Affiliation:
Planned Parenthood of New York City, New York, NY 10012, USA. maureen.paul@ppnyc.org
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MeSH Terms
Descriptor/Qualifier:
Abortion, Induced
False Positive Reactions
Female
Flow Cytometry
Humans
Hydatidiform Mole / diagnosis*,  genetics
Pregnancy
Pregnancy Trimester, First / genetics
Uterine Neoplasms / diagnosis*,  genetics

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


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