Literature DB >> 22038134

[Computer-assisted diagnostics in cervical cytology].

H Ikenberg1.   

Abstract

Computer assistance has the ability to reduce screening errors. In cervical cytology only two systems are available: BD FocalPoint™ (BD) utilizes algorithms for image recognition to analyze thin-layer specimens (Surepath) and conventional slides. The ThinPrep® imaging system (Hologic) is based on the densitometric measurement of nuclei and requires a thin-layer preparation. The BD FocalPoint™ system assigns specimens according to declining probability of an abnormality to one of six groups. A further option is location-guided screening (LGS) where the 15 fields of view which are most relevant are presented on a computerized microscope. Several studies indicate that this mode is at least equivalent to manual screening with conventional and surepath (SP) slides. For the ThinPrep® imaging system which only uses the LGS mode the majority of available studies found a significantly higher sensitivity for histologically confirmed grade 2 cervical intraepithelial neoplasia (CIN 2 +). However, most were retrospective or parallel studies. Both systems allow a significantly higher productivity but require a higher technical expenditure.

Entities:  

Mesh:

Year:  2011        PMID: 22038134     DOI: 10.1007/s00292-011-1477-4

Source DB:  PubMed          Journal:  Pathologe        ISSN: 0172-8113            Impact factor:   1.011


  42 in total

1.  Use of automated primary screening on liquid-based, thin-layer preparations.

Authors:  Pierre Vassilakos; Solène Carrel; Patrick Petignat; Michel Boulvain; Aldo Campana
Journal:  Acta Cytol       Date:  2002 Mar-Apr       Impact factor: 2.319

2.  Location-guided screening of liquid-based cervical cytology specimens: a potential improvement in accuracy and productivity is demonstrated in a preclinical feasibility trial.

Authors:  David C Wilbur; Elizabeth M Parker; Joseph A Foti
Journal:  Am J Clin Pathol       Date:  2002-09       Impact factor: 2.493

3.  Effectiveness of AutoPap system location-guided screening in the evaluation of cervical cytology smears.

Authors:  Mark W Stevens; Amanda J Milne; Ian H Parkinson; Walter W Nespolon; Nicola L Fazzalari; Neeru Arora; Thomas J Dodd
Journal:  Diagn Cytopathol       Date:  2004-08       Impact factor: 1.582

4.  Implementation and evaluation of a new automated interactive image analysis system.

Authors:  Noel Bolger; Cynthia Heffron; Irene Regan; Mary Sweeney; Sinead Kinsella; Mary McKeown; Grace Creighton; Joan Russell; John O'Leary
Journal:  Acta Cytol       Date:  2006 Sep-Oct       Impact factor: 2.319

5.  Concordance between original screening and final diagnosis using imager vs. manual screen of cervical liquid-based cytology slides.

Authors:  Maria Cristina Pacheco; Robert C Conley; Donna W Pennington; John W Bishop
Journal:  Acta Cytol       Date:  2008 Sep-Oct       Impact factor: 2.319

6.  Comparison of the sensitivity of conventional cytology and the ThinPrep Imaging System for 1,083 biopsy confirmed high-grade squamous lesions.

Authors:  J A Halford; T Batty; T Boost; J Duhig; J Hall; C Lee; K Walker
Journal:  Diagn Cytopathol       Date:  2010-05       Impact factor: 1.582

7.  MAVARIC - a comparison of automation-assisted and manual cervical screening: a randomised controlled trial.

Authors:  H C Kitchener; R Blanks; H Cubie; M Desai; G Dunn; R Legood; A Gray; Z Sadique; S Moss
Journal:  Health Technol Assess       Date:  2011-01       Impact factor: 4.014

8.  Assisted primary screening using the automated ThinPrep Imaging System.

Authors:  Charles V Biscotti; Andrea E Dawson; Bruce Dziura; Luis Galup; Teresa Darragh; Amir Rahemtulla; Lisa Wills-Frank
Journal:  Am J Clin Pathol       Date:  2005-02       Impact factor: 2.493

9.  Detection of high grade squamous intraepithelial lesions and tumors using the AutoPap System: results of a primary screening clinical trial.

Authors:  D C Wilbur; M U Prey; W M Miller; G F Pawlick; T J Colgan; D Dax Taylor
Journal:  Cancer       Date:  1999-12-25       Impact factor: 6.860

10.  FocalPoint slide classification algorithms show robust performance in classification of high-grade lesions on SurePath liquid-based cervical cytology slides.

Authors:  Elizabeth M Parker; Joseph A Foti; David C Wilbur
Journal:  Diagn Cytopathol       Date:  2004-02       Impact factor: 1.582

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