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DOI 10.3760/cma.j.issn.0253-3766.2016.02.007

Медицинская библиотека · Zhonghua zhong liu za zhi [Chinese journal of oncology] · 2016

[Application of DNA-image cytometry in the diagnosis of lung cancer].

Tao W, Li J, Cheng L L

Сравнительное исследованиеСтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

OBJECTIVE

To explore the value of DNA-image cytometry (DNA-ICM) in diagnosis of lung cancer.

METHODS

532 cases of bronchoalveolar lavage fluid (BALF) and (or) bronchial brushing cytology (216 cases from lung cancer patients and 209 cases from benign lung disease patients) were detected by DNA-ICM and liquid-based cytology (LBC), respectively. The sensitivity and specificity of the two methods were compared.

RESULTS

The sensitivity and specificity of DNA-ICM were 69.2% and 100.0%, and which of LBC were 46.7% and 97.9%, respectively. The sensitivity of DNA-ICM was significantly higher than that of LBC method in the diagnosis of lung cancer (P<0.05). The sensitivity and specificity of DNA-ICM of BALF were 71.9% and 100.0%, while those of LBC were 48.2% and 98.5%. The sensitivity and specificity of DNA-ICM of bronchial brushing cytology were 62.8% and 100.0%, while those of LBC were 43.0% and 95.3%. The sensitivity of DNA-ICM of BALF and bronchial brushing cytology were higher than that of LBC method (P<0.05). There were 107 patients who underwent BALF and bronchial brushing cytology simultaneously, the sensitivity of DNA-ICM of BALF was higher than that of bronchial brushing cytology (P<0.05). Among different histologic types of the lung cancers, the sensitivity of squamous carcinoma was higher that of adenocarcinoma.

CONCLUSIONS

DNA-ICM has great application value in the diagnosis of lung cancer. DNA-ICM in combination with LBC can increase the detection rate of lung cancer. DNA-ICM of BALF is worthy of application in clinical practice.

Для цитирования: Tao W, Li J, Cheng L L. [Application of DNA-image cytometry in the diagnosis of lung cancer].. Zhonghua zhong liu za zhi [Chinese journal of oncology]. 2016. DOI: 10.3760/cma.j.issn.0253-3766.2016.02.007.

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