Document Detail

Testing automated liquid-based cytology samples with a manual liquid-based cytology method using residual cell suspensions from 500 ThinPrep cases.
MedLine Citation:
PMID:  16680773     Owner:  NLM     Status:  MEDLINE    
We report a technical improvement upon a previously disclosed manual liquid-based cytology (MLBC) method; and, we use the improved method to prepare slides from residual ThinPrep specimens in order to see how often ThinPrep diagnoses correspond to diagnoses derived from exhaustive examination of their parent sample suspensions. Residual cell suspensions from 500 ThinPrep cases comprising (1) 20 low-grade squamous intraepithelial lesions (LSILs); (2) 200 high risk (HR) negatives and 20 ASC-US; and (3) 260 screening cytology specimens were studied. Institutional review committee guidelines allowed us to know diagnoses by groups of specimens, but did not allow us to know individual patient diagnoses, so we could not perform case-by-case matched outcome-comparisons. Cells were concentrated by conventional centrifugation and sedimented into a polymer gel that was then vortex-mixed and converted into a viscous cell-rich suspension. The cell suspension was smeared between two clean glass slides, which were air-dried and stained with the Papanicolaou stain. Two study-sets were created, comprising one slide from each case. Each of the two study sets was examined by two cytopathologists, and discordant diagnoses were adjudicated. Because of the ambiguity involved in the "atypical" (ASC-US, ASC-H, AGC) diagnosis categories, only outcomes at the level of LSIL or greater were recorded. All MLBC SILs were digitally imaged and abnormal slides plus digital images were sent to the laboratory that provided the residual automated liquid-based cytology (ALBC) suspensions. The final diagnoses were confirmed by the laboratory that provided the residual ALBC specimens. MLBC slides of the 20 LSIL cases afforded 2 high-grade squamous intraepithelial lesions (HSILs) and 18 LSILs. Those of the 200 HR-Negatives showed 3 HSILs and 30 LSILs; and those of the 20 HR-ASC-US showed 3 HSILs and 9 LSILs. MLBC slides of the 260 screening cytology specimens showed 1 Carcinoma, 3 HSILs and 20 LSILs; affording 3 HSILs and 14 LSILs more than originally diagnosed. The MLBC method of this report is useful for preparing cell suspensions for cytological examination. Our analytical method was exhaustive and used nearly all of the cell material that was provided to us for analysis; therefore, we conclude that this approach is useful for determining how well ALBC instruments represent their parent sample suspensions. It appears that "rare events" may be overlooked when limited sample aliquots are analyzed by ALBC instruments, and this probably accounts for our increased discovery of SILs by the MLBC method. Also, SILs often present as aggregates of cohesive cells which, if overlooked or ineffectively transferred to ALBC slides, would not be diagnosed.
John A Maksem; Vijaya Dhanwada; Joy E Trueblood; James Weidmann; Bruce Kane; David R Bolick; Carlos W M Bedrossian; Daniel F I Kurtycz; Jim Stewart
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Diagnostic cytopathology     Volume:  34     ISSN:  8755-1039     ISO Abbreviation:  Diagn. Cytopathol.     Publication Date:  2006 Jun 
Date Detail:
Created Date:  2006-05-11     Completed Date:  2006-07-18     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8506895     Medline TA:  Diagn Cytopathol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  391-6     Citation Subset:  IM    
Bostwick Laboratories, 2500 Sand Lake Road, Orlando, Florida 32809, USA.
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MeSH Terms
Cervical Intraepithelial Neoplasia / diagnosis,  prevention & control
Cytological Techniques / methods*,  standards
Mass Screening
Precancerous Conditions / diagnosis,  prevention & control
Reproducibility of Results
Sensitivity and Specificity
Uterine Cervical Neoplasms / diagnosis*,  prevention & control
Vaginal Smears

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

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