Literature DB >> 17017432

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

Noel Bolger1, Cynthia Heffron, Irene Regan, Mary Sweeney, Sinead Kinsella, Mary McKeown, Grace Creighton, Joan Russell, John O'Leary.   

Abstract

OBJECTIVE: To compare automated interactive screening using the ThinPrep Imaging System with independent manual primary screening of 12,000 routine ThinPrep slides. STUDY
DESIGN: With the first 6,000 cases, the Review Scopes (RS) screening results from the 22 fields of view (FOV) only were compared to independent manual primary screening. In the next 6,000 cases, any abnormality detected in the 22 FOV resulted in full manual screening on the cytotechnologist's own microscope. Sensitivity and specificity together with their 95% CIs were calculatedfor each method.
RESULTS: In the first set of 6, 000 cases, diagnostic sensitivity and specificity of the imager were 85.19% and 96.67%, respectively. The diagnostic sensitivity and specificity of manual primary screening were 89.38% and 98.42%. This highersensitivity and specificity of manual primary screening were found to be statistically significant. The second set of 6,000 cases demonstrated no significant statistical difference in sensitivity or specificity between the sets of data.
CONCLUSION: The results from our study show that the sensitivity and specificity of the imager technology are equivalent to those of manual primary screening. The system is ideally suited to the rapid screening of negative cases, allowing increased laboratory productivity and greater throughput of cases on a daily basis.

Mesh:

Year:  2006        PMID: 17017432     DOI: 10.1159/000326001

Source DB:  PubMed          Journal:  Acta Cytol        ISSN: 0001-5547            Impact factor:   2.319


  5 in total

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

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

2.  Projected future impact of HPV vaccination and primary HPV screening on cervical cancer rates from 2017-2035: Example from Australia.

Authors:  Michaela T Hall; Kate T Simms; Jie-Bin Lew; Megan A Smith; Marion Saville; Karen Canfell
Journal:  PLoS One       Date:  2018-02-14       Impact factor: 3.240

3.  A Deep Learning Model for Cervical Cancer Screening on Liquid-Based Cytology Specimens in Whole Slide Images.

Authors:  Fahdi Kanavati; Naoki Hirose; Takahiro Ishii; Ayaka Fukuda; Shin Ichihara; Masayuki Tsuneki
Journal:  Cancers (Basel)       Date:  2022-02-24       Impact factor: 6.639

4.  Does the ThinPrep Imaging System increase the detection of high-risk HPV-positive ASC-US and AGUS? The Women and Infants Hospital experience with over 200,000 cervical cytology cases.

Authors:  M Rudhul Quddus; Theresa Neves; Mary E Reilly; Margaret M Steinhoff; C James Sung
Journal:  Cytojournal       Date:  2009-08-06       Impact factor: 2.091

5.  Imaging and SERS Study of the Au Nanoparticles Interaction with HPV and Carcinogenic Cervical Tissues.

Authors:  Andrea Ceja-Fdez; Ramon Carriles; Ana Lilia González-Yebra; Juan Vivero-Escoto; Elder de la Rosa; Tzarara López-Luke
Journal:  Molecules       Date:  2021-06-20       Impact factor: 4.411

  5 in total

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