Literature DB >> 12116340

Increase of sensitivity of sputum cytology using high-resolution image cytometry: field study results.

Branko Palcic1, David M Garner, Jack Beveridge, Xiao Rong Sun, Alexei Doudkine, Calum MacAulay, Stephen Lam, Peter W Payne.   

Abstract

Lung cancer remains the leading cause of cancer deaths in the developed world. There is no widely accepted method to screen for this cancer. The most commonly used method remains conventional sputum cytology, but this method is hampered by low sensitivity. We tested the hypothesis that sensitivity of sputum cytology for early lung cancer can be greatly improved by using image analysis of sputum cells, at a modest reduction of specificity. The study was double-blinded and used sputum samples from subjects with well-characterized clinical diagnoses. There were 177 cancers, 98 dysplasias, and 558 normals. The study samples were separated into two independent sets: training set and test set. Sputum samples were collected prospectively from subjects with a high probability of having lung cancer. Seven institutions from five countries participated in the study. All subjects had complete clinical diagnoses which included, as a minimum, negative chest x-rays for all negative cancers, while all cancers had confirmed tissue pathology. Samples were prepared according to the Saccomanno method. For conventional cytology, slides were stained using Papanicolaou stain. For image analysis, slides were stained using a DNA-specific (Feulgen-Thionin) stain. An automated, high-resolution image cytometer was used for measurements. At 90% specificity, sensitivity of 60% can be achieved for adenocarcinoma, compared to only 14% sensitivity of conventional cytology (at 99% specificity). Similarly, 45% sensitivity at 90% specificity can be reached for stages 0 and I lung cancer, compared to only 14% (at 99% specificity) using conventional cytology.Cytometry combined with conventional cytology shows an increase in sensitivity to early-stage cancer and to adenocarcinomas compared to conventional cytology alone. While the results are encouraging, the sensitivity to detect early lung cancer should be further improved to 70-80% at 90-95% specificity before this test can be considered for screening of high-risk individuals for lung cancer. Cytometry (Clin. Cytometry) 50:168-176, 2002. Copyright 2002 Wiley-Liss, Inc.

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Mesh:

Year:  2002        PMID: 12116340     DOI: 10.1002/cyto.10065

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  7 in total

Review 1.  Sputum examination for early detection of lung cancer.

Authors:  F B J M Thunnissen
Journal:  J Clin Pathol       Date:  2003-11       Impact factor: 3.411

2.  Application of a methylation gene panel by quantitative PCR for lung cancers.

Authors:  Narayan Shivapurkar; Victor Stastny; Makoto Suzuki; Ignacio I Wistuba; Lin Li; Yingye Zheng; Ziding Feng; Bernard Hol; Clemens Prinsen; Frederik B Thunnissen; Adi F Gazdar
Journal:  Cancer Lett       Date:  2006-04-27       Impact factor: 8.679

3.  DNA Replication Licensing Proteins for Early Detection of Lung Cancer

Authors:  Veena V S; Rajan K; Saritha V N; Preethi Sara George; Chandramohan K; Jayasree K; Thara S; K Sujathan
Journal:  Asian Pac J Cancer Prev       Date:  2017-11-26

4.  DNA image cytometric analysis of bronchial washings as an adjunct for the detection of lung cancer in a clinical setting.

Authors:  Yan Hu; Qing Yu; Cuiyan Guo; Guangfa Wang
Journal:  Cancer Med       Date:  2022-02-11       Impact factor: 4.711

5.  Is it useful to combine sputum cytology and low-dose spiral computed tomography for early detection of lung cancer in formerly asbestos-exposed power industry workers?

Authors:  Michael K Felten; Lars Knoll; Christian Schikowsky; Marco Das; Christian Feldhaus; Kurt G Hering; Alfred Böcking; Thomas Kraus
Journal:  J Occup Med Toxicol       Date:  2014-04-17       Impact factor: 2.646

6.  A multi-parameterized artificial neural network for lung cancer risk prediction.

Authors:  Gregory R Hart; David A Roffman; Roy Decker; Jun Deng
Journal:  PLoS One       Date:  2018-10-24       Impact factor: 3.752

7.  Automated detection of cancer cells in effusion specimens by DNA karyometry.

Authors:  Alfred H Böcking; David Friedrich; Dietrich Meyer-Ebrecht; Chenyan Zhu; Anna Feider; Stefan Biesterfeld
Journal:  Cancer Cytopathol       Date:  2018-10-19       Impact factor: 5.284

  7 in total

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