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Effective early diagnosis for NSCLC: an algorithm.

Paul Zarogoulidis1,2, Dimitris Matthaios3, Christoforos Kosmidis3

  • 13rd Department of Surgery, ``ahepa`` University Hospital, Aristotle University of Thessaloniki, Medical School, Thessaloniki, Greece.

Expert Review of Respiratory Medicine
|August 17, 2021
PubMed
Summary
This summary is machine-generated.

Early diagnosis of lung cancer is crucial as most cases are found when inoperable. This study reviews diagnostic tools and proposes an algorithm for timely biopsy upon initial diagnosis to improve patient outcomes.

Keywords:
BronchoscopyEBUS-TBNAct-biopsyendoscopylung cancerultrasound

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Area of Science:

  • Pulmonology
  • Oncology
  • Medical Imaging

Background:

  • Lung cancer diagnosis is often delayed until advanced, inoperable stages.
  • Lack of early symptoms significantly hinders timely detection.

Purpose of the Study:

  • To review current diagnostic equipment and imaging techniques for lung cancer.
  • To propose an algorithm for biopsy following initial disease diagnosis.

Main Methods:

  • Literature search on PubMed using keywords: EBUS, radial-EBUS, bronchoscopy, lung cancer, electromagnetic navigation, CT-biopsy, transthoracic biopsy.
  • Review of diagnostic modalities including PET, navigation systems, EBUS, radial-EBUS, ultrasound-guided biopsy, and CT-guided biopsy.

Main Results:

  • Various diagnostic tools and imaging techniques are available for lung cancer diagnosis.
  • An algorithm for biopsy upon initial diagnosis is proposed.

Conclusions:

  • Screening and early diagnosis are essential for improving lung cancer outcomes.
  • The proposed algorithm aims to facilitate timely biopsy and diagnosis.