Literature DB >> 19813268

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

J A Halford1, T Batty, T Boost, J Duhig, J Hall, C Lee, K Walker.   

Abstract

Liquid-based cytology continues to be utilized as an adjunct to conventional cytology in most Australian laboratories, even though a direct-to-vial ThinPrep protocol has been introduced in many countries with established cervical screening programs. Manual screening of ThinPrep slides has been widely practiced for more than 10 years and the recent introduction of the ThinPrep Imaging System (TPI) has been reported as being more sensitive than the conventional smear (CS) in the identification of high-grade cervical disease.We report our experience with ThinPrep Imaging since its introduction into our routine gynecological cytology service. 87,284 split sample pairs reported using the Imaging System demonstrated a decrease in unsatisfactory reports (3.65% for CS and 0.87% for TPI) and an increase in possible high grade and definite high-grade squamous reports (1.57% for CS and 1.62% for TPI).For 1,083 biopsy confirmed high-grade lesions, the correct diagnosis of high grade or possible high-grade squamous disease was made on the ThinPrep imaged slide in 61.0% (661/1,083) of cases and on the CS in 59.4% (643/1,083). This was not statistically significant. When all abnormalities identified on cytology were considered, including possible low grade and definite low-grade abnormalities, the difference in sensitivity for Thinprep imaged slides of 96.0% (1,040/1,083) and CSs of 91.6% (992/1,083) was statistically significant.

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Mesh:

Year:  2010        PMID: 19813268     DOI: 10.1002/dc.21199

Source DB:  PubMed          Journal:  Diagn Cytopathol        ISSN: 1097-0339            Impact factor:   1.582


  8 in total

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

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

2.  Comparison of ThinPrep Integrated Imager-Assisted Screening versus Manual Screening of ThinPrep Liquid-Based Cytology Specimens.

Authors:  Kyoko Tanaka; Daisuke Aoki; Akiko Tozawa-Ono; Nao Suzuki; Kiyoshi Takamatsu; Masaru Nakamura; Hajime Tsunoda; Shigeo Seino; Noriko Kobayashi; Takefumi Shirayama; Fumiaki Takahashi
Journal:  Acta Cytol       Date:  2020-06-12       Impact factor: 2.319

3.  A retrospective analysis of serous effusions based on the newly proposed international system for reporting serous fluid cytopathology: a report of 3633 cases in an oncological center.

Authors:  Yan-Li Zhu; Wen-Hao Ren; Qian Wang; Hai-Zhu Jin; Yi-Yi Guo; Dong-Mei Lin
Journal:  Diagn Pathol       Date:  2022-07-02       Impact factor: 3.196

4.  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

Review 5.  A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification.

Authors:  Teresa Conceição; Cristiana Braga; Luís Rosado; Maria João M Vasconcelos
Journal:  Int J Mol Sci       Date:  2019-10-15       Impact factor: 5.923

6.  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

7.  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

8.  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

  8 in total

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