Literature DB >> 15526273

Identification of progressive cervical epithelial cell abnormalities using DNA image cytometry.

Hans Juergen Grote1, Huy V Q Nguyen, Anand Gilbert Leick, Alfred Böcking.   

Abstract

BACKGROUND: The objectives of the current study were to compare the capabilities of conventional cervical cytology and of DNA image cytometry (DNA-ICM) in the prediction of progressive or regressive behavior in atypical squamous cells (ASC), low-grade squamous intraepithelial lesions (LSIL), and atypical glandular cells (AGC).
METHODS: One hundred ninety-six women with Papanicolaou (Pap) smears that yielded diagnoses of ASC, LSIL, or AGC were included in a prospective cohort study. Slides were classified according to the Bethesda system. DNA-ICM was performed according to the consensus reports of the European Society of Analytical Cellular Pathology.
RESULTS: Reference standard verification was available in 108 patients. The rate of DNA aneuploidy in Pap smears increased significantly from cervical intraepithelial neoplasia 1 (CIN1) (54%) and CIN2 (64.3%) to CIN3 or greater (CIN3+) (83.3%) in subsequent biopsies (P < 0.05). Using ASC, LSIL, and AGC as input cytologic diagnoses and >/= CIN2 as the output histologic diagnosis, the positive predictive values (PPVs) for conventional cytology and DNA-ICM were 35.2% and 65.9%, respectively (P < 0.001). The negative predictive value (NPV) of DNA-ICM was 85.0%. When >/= CIN3 was used as the output histologic diagnosis, conventional cytology had a PPV of 22.2%. The PPV and NPV of DNA-ICM were 43.9% and 93.3%, respectively.
CONCLUSIONS: The results of the current study confirmed the prognostic validity of DNA image cytometry for differentiation between progressive and regressive lesions in patients with ASC, LSIL, and AGC diagnoses.

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Year:  2004        PMID: 15526273     DOI: 10.1002/cncr.20644

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  10 in total

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3.  [Risk-adapted multimodal laboratory cervical screening---Pap test of the future?].

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4.  Role of brush biopsy and DNA cytometry for prevention, diagnosis, therapy, and followup care of oral cancer.

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5.  Biomarkers of cervical dysplasia and carcinoma.

Authors:  Sonya J Hwang; Kenneth R Shroyer
Journal:  J Oncol       Date:  2011-10-29       Impact factor: 4.375

6.  Comparability of tumor-cytogenetics and -DNA-cytometry.

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Journal:  Mol Cytogenet       Date:  2015-04-18       Impact factor: 2.009

7.  Evaluation of ploidy status using DNA-image cytometry of exfoliated mucosal cells in oral lichen planus.

Authors:  Ravi Teja Chitturi; R Madhavan Nirmal; Paramel Mohan Sunil; A Santha Devy; B Venkat Ramana Reddy
Journal:  J Cytol       Date:  2014-07       Impact factor: 1.000

Review 8.  DNA Karyometry for Automated Detection of Cancer Cells.

Authors:  Alfred Böcking; David Friedrich; Martin Schramm; Branko Palcic; Gregor Erbeznik
Journal:  Cancers (Basel)       Date:  2022-08-30       Impact factor: 6.575

Review 9.  Molecular basis for advances in cervical screening.

Authors:  John Doorbar; Heather Cubie
Journal:  Mol Diagn       Date:  2005

10.  Economic evaluation of DNA ploidy analysis vs liquid-based cytology for cervical screening.

Authors:  V T Nghiem; K R Davies; J R Beck; M Follen; C MacAulay; M Guillaud; S B Cantor
Journal:  Br J Cancer       Date:  2015-04-28       Impact factor: 7.640

  10 in total

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