Frontiers in Oncology (Sep 2022)

The value of narrow-band imaging bronchoscopy in diagnosing central lung cancer

  • Juanjuan Zhu,
  • Juanjuan Zhu,
  • Juanjuan Zhu,
  • Rui Liu,
  • Rui Liu,
  • Xiancheng Wu,
  • Xiancheng Wu,
  • Qin Li,
  • Qin Li,
  • Qin Li,
  • Beilei Gong,
  • Beilei Gong,
  • Yuanbing Shen,
  • Yuanbing Shen,
  • Yurong Ou,
  • Wei Li,
  • Wei Li

DOI
https://doi.org/10.3389/fonc.2022.998770
Journal volume & issue
Vol. 12

Abstract

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AimsThis research aimed to study the value of narrow-band imaging(NBI) in the diagnosis of central lung cancer.Materials and methodsThis study included 916 patients with clinical suspected of central lung cancer or follow-up of patients after curative lung cancer surgery. All of the patients were examined by Olympus Evis Lucera electronic bronchoscope system, any sites that were abnormal when viewed by white-light bronchoscopy (WLB) or NBI were biopsied, four to six biopsies were taken at each site of the abnormal region visualized as lesions, we record the endoscopic features of NBI and compared with histopathology results, to evaluate the diagnostic value of NBI for central lung cancer and the relationship between vascular patterns of NBI and histological types of lung cancer, and try to establish a multinomial logistic regression model for predicting the histological types of lung cancer. The biopsy specimens were examined by CD34 antibody through immunohistochemistry (IHC) method, CD34 marked microvessel density(MVD), compared the number of microvessels between benign and malignant diseases and the number between different histological types of lung cancer, to verify the results of NBI.ResultsNBI provided high sensitivity (91.7%), specificity (84.9%), positive predictive value (97.6%), negative predictive value (61.5%), and agreement rate (90.7%). The predominant vascular patterns in the well-defined histological types of lung cancer were dotted blood vessels (121 patients), tortuous blood vessels (248 patients), and abrupt-ending blood vessels (227 patients). Logistic regression analysis of the results showed that smoking status of the patient, combined with vascular patterns under NBI, and age partly affect the histological types of lung cancer.ConclusionsNBI is highly accurate for the diagnosis of central lung cancer.

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