Literature DB >> 21146458

Automation-assisted versus manual reading of cervical cytology (MAVARIC): a randomised controlled trial.

Henry C Kitchener1, Roger Blanks, Graham Dunn, Lionel Gunn, Mina Desai, Rebecca Albrow, Jean Mather, Durgesh N Rana, Heather Cubie, Catherine Moore, Rosa Legood, Alastair Gray, Sue Moss.   

Abstract

BACKGROUND: The standard for reading cervical cytology is for a cytoscreener to manually search across an entire slide for abnormal cells using a conventional microscope. Automated technology can select fields of view to assess abnormal cells, which allows targeted reading by cytoscreeners. In the Manual Assessment Versus Automated Reading In Cytology (MAVARIC) trial, we compared the accuracy of these techniques for the detection of underlying disease.
METHODS: For this randomised controlled trial, women aged 25-64 years undergoing primary cervical screening in Manchester, UK, were randomly assigned (1:2) to receive either manual reading only or paired reading (automation-assisted reading and manual reading), between March 1, 2006, and Feb 28, 2009. In the paired arm, two automated systems were used-the ThinPrep Imaging System and the FocalPoint GS Imaging System. General practices and community clinics were randomised to either ThinPrep or to SurePath (for the FocalPoint system) liquid-based cytology with block randomisation stratified by deprivation index. Samples were then individually randomised to manual reading only or paired reading only. Laboratory staff were unaware of the allocation of each slide and concealment was maintained until the end of the reporting process. The primary outcome was sensitivity of automation-assisted reading relative to manual reading for the detection of underlying cervical intraepithelial neoplasia grade 2 or worse (CIN2+) in the paired arm. This trial is registered, number ISRCTN66377374.
FINDINGS: 73,266 liquid-based cytology samples were obtained from women undergoing primary cervical screening; 24,688 allocated to the manual-only arm and 48,578 to the paired-reading arm. Automation-assisted reading was 8% less sensitive than manual reading (relative sensitivity 0·92, 95% CI 0·89-0·95), which was equivalent to an absolute reduction in sensitivity of 6·3%, assuming the sensitivity of manual reading to be 79%. Specificity of automation-assisted reading relative to manual reading increased by 0·6% (1·006, 95% CI 1·005-1·007).
INTERPRETATION: The inferior sensitivity of automation-assisted reading for the detection of CIN2+, combined with an inconsequential increase in specificity, suggests that automation-assisted reading cannot be recommended for primary cervical screening. Copyright Â
© 2011 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 21146458     DOI: 10.1016/S1470-2045(10)70264-3

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  11 in total

Review 1.  [Computer-assisted diagnostics in cervical cytology].

Authors:  H Ikenberg
Journal:  Pathologe       Date:  2011-11       Impact factor: 1.011

Review 2.  [Who performs gynecological cytology and how?].

Authors:  D Schmidt; H H Neumann
Journal:  Pathologe       Date:  2015-11       Impact factor: 1.011

3.  Graph-based segmentation of abnormal nuclei in cervical cytology.

Authors:  Ling Zhang; Hui Kong; Shaoxiong Liu; Tianfu Wang; Siping Chen; Milan Sonka
Journal:  Comput Med Imaging Graph       Date:  2017-01-31       Impact factor: 4.790

4.  Digital imaging in cytopathology.

Authors:  Walid E Khalbuss; Liron Pantanowitz; Anil V Parwani
Journal:  Patholog Res Int       Date:  2011-07-19

5.  Unsatisfactory rates vary between cervical cytology samples prepared using ThinPrep and SurePath platforms: a review and meta-analysis.

Authors:  Daniel Fontaine; Nadira Narine; Christopher Naugler
Journal:  BMJ Open       Date:  2012-04-13       Impact factor: 2.692

6.  Cervical cancer incidence after normal cytological sample in routine screening using SurePath, ThinPrep, and conventional cytology: population based study.

Authors:  Kirsten Rozemeijer; Steffie K Naber; Corine Penning; Lucy I H Overbeek; Caspar W N Looman; Inge M C M de Kok; Suzette M Matthijsse; Matejka Rebolj; Folkert J van Kemenade; Marjolein van Ballegooijen
Journal:  BMJ       Date:  2017-02-14

7.  Effect of Thin Prep(®) imaging system on laboratory rate and relative sensitivity of atypical squamous cells, high-grade squamous intraepithelial lesion not excluded and high-grade squamous intraepithelial lesion interpretations.

Authors:  Brooke R Koltz; Donna K Russell; Naiji Lu; Thomas A Bonfiglio; Sharlin Varghese
Journal:  Cytojournal       Date:  2013-03-30       Impact factor: 2.091

8.  Cervical histology after routine ThinPrep or SurePath liquid-based cytology and computer-assisted reading in Denmark.

Authors:  Matejka Rebolj; Johanne Rask; Marjolein van Ballegooijen; Benny Kirschner; Kirsten Rozemeijer; Jesper Bonde; Carsten Rygaard; Elsebeth Lynge
Journal:  Br J Cancer       Date:  2015-10-08       Impact factor: 7.640

9.  Comparing SurePath, ThinPrep, and conventional cytology as primary test method: SurePath is associated with increased CIN II+ detection rates.

Authors:  Kirsten Rozemeijer; Corine Penning; Albert G Siebers; Steffie K Naber; Suzette M Matthijsse; Marjolein van Ballegooijen; Folkert J van Kemenade; Inge M C M de Kok
Journal:  Cancer Causes Control       Date:  2015-10-12       Impact factor: 2.506

10.  The artificial intelligence-assisted cytology diagnostic system in large-scale cervical cancer screening: A population-based cohort study of 0.7 million women.

Authors:  Heling Bao; Xiaorong Sun; Yi Zhang; Baochuan Pang; Hua Li; Liang Zhou; Fengpin Wu; Dehua Cao; Jian Wang; Bojana Turic; Linhong Wang
Journal:  Cancer Med       Date:  2020-07-22       Impact factor: 4.452

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