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July-2018 Volume 16 Issue 1

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Article Open Access

Value of automatic DNA image cytometry for diagnosing lung cancer

  • Authors:
    • Anqi Shi
    • Wang Min
    • Lai Xiang
    • Wu Xu
    • Tao Jiang
  • View Affiliations / Copyright

    Affiliations: Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China
    Copyright: © Shi et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 915-923
    |
    Published online on: May 16, 2018
       https://doi.org/10.3892/ol.2018.8723
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Abstract

The present study aimed to investigate the diagnostic value of automatic DNA image cytometry (DNA‑ICM) for diagnosing lung cancer. A total of three different types of samples from 465 cases were included: Bronchoalveolar lavage fluid (BALF), 386 samples; pleural effusion cases, 70 samples; and fine‑needle aspiration procedures, 9 samples. Two methods, liquid‑based cytology (LBC) and automatic DNA‑ICM, were used to assess the samples, and the pathological results of 120/465 cases were reviewed. The results of DNA‑ICM were compared with those of LBC and pathology. There were 57 cases of lung cancer without aneuploidy and 49 cases without evidence of malignant tumor, but with the presence of heteroploid cells. The positive diagnostic rate for BALF samples using LBC was significantly higher compared with that for DNA‑ICM (P<0.05). No statistically significant difference was observed in the positive diagnostic rate between DNA‑ICM and LBC in pleural effusion samples. For DNA‑ICM in BALF, pleural effusion and all samples, no statistically significant differences were identified between the positive diagnostic rates of lung squamous carcinoma and lung adenocarcinoma. The positive diagnostic rate of LBC combined with DNA‑ICM was not significantly improved. In non‑small cell lung cancer (NSCLC) cases, the difference in the maximum value of DNA (DNAmax) was positively correlated with tumor stage (P<0.05), but no significant correlations were observed among DNA max, tumor type and tumor location. In small‑cell lung cancer (SCLC) cases, no significant correlations were observed among DNAmax, tumor staging or tumor location. The differences in the DNAmax values of squamous cell carcinoma, adenocarcinoma, SCLC and NSCLC were not statistically significant. In the present study, the area under the receiver operating characteristic curve for LBC (0.936) was significantly greater compared with that for DNA‑ICM (0.766) (P<0.05). DNA‑ICM has medium diagnostic value in lung cancer, and the DNAmax was positively correlated with tumor stage in NSCLC. DNA‑ICM may serve as a supplement to LBC, but it is not recommended as a sole procedure for lung cancer screening.

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Copy and paste a formatted citation
Spandidos Publications style
Shi A, Min W, Xiang L, Xu W and Jiang T: Value of automatic DNA image cytometry for diagnosing lung cancer. Oncol Lett 16: 915-923, 2018.
APA
Shi, A., Min, W., Xiang, L., Xu, W., & Jiang, T. (2018). Value of automatic DNA image cytometry for diagnosing lung cancer. Oncology Letters, 16, 915-923. https://doi.org/10.3892/ol.2018.8723
MLA
Shi, A., Min, W., Xiang, L., Xu, W., Jiang, T."Value of automatic DNA image cytometry for diagnosing lung cancer". Oncology Letters 16.1 (2018): 915-923.
Chicago
Shi, A., Min, W., Xiang, L., Xu, W., Jiang, T."Value of automatic DNA image cytometry for diagnosing lung cancer". Oncology Letters 16, no. 1 (2018): 915-923. https://doi.org/10.3892/ol.2018.8723
Copy and paste a formatted citation
x
Spandidos Publications style
Shi A, Min W, Xiang L, Xu W and Jiang T: Value of automatic DNA image cytometry for diagnosing lung cancer. Oncol Lett 16: 915-923, 2018.
APA
Shi, A., Min, W., Xiang, L., Xu, W., & Jiang, T. (2018). Value of automatic DNA image cytometry for diagnosing lung cancer. Oncology Letters, 16, 915-923. https://doi.org/10.3892/ol.2018.8723
MLA
Shi, A., Min, W., Xiang, L., Xu, W., Jiang, T."Value of automatic DNA image cytometry for diagnosing lung cancer". Oncology Letters 16.1 (2018): 915-923.
Chicago
Shi, A., Min, W., Xiang, L., Xu, W., Jiang, T."Value of automatic DNA image cytometry for diagnosing lung cancer". Oncology Letters 16, no. 1 (2018): 915-923. https://doi.org/10.3892/ol.2018.8723
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