Multiphoton microscopy as a diagnostic imaging modality for lung cancer

Area of Science:

• Biomedical Optics
• Cancer Imaging
• Pulmonology

Background:

• Lung cancer is a leading cause of cancer death with low survival rates.
• Current diagnostic methods like CT-guided biopsies lack accuracy for small lesions.
• Early diagnosis is crucial for improving patient outcomes.

Purpose of the Study:

• To evaluate multiphoton microscopy (MPM) for differentiating normal and neoplastic lung tissues.
• To explore MPM's potential as a real-time optical guidance method for lung cancer diagnosis.
• To investigate MPM's ability to distinguish between normal alveolar tissue, inflammatory foci, and neoplasms.

Main Methods:

• Utilized multiphoton microscopy (MPM) with multichannel fluorescence detection.
• Applied MPM to ex vivo lung tissue samples from a murine model of lung cancer.
• Analyzed spectral imaging data based on two-photon excited intrinsic fluorescence and second harmonic generation.

Main Results:

• MPM spectral imaging successfully differentiated normal and neoplastic lung tissues in ex vivo samples.
• Distinct morphologies and fluorescence emission properties allowed direct tissue discrimination.
• MPM imaging showed potential in distinguishing normal alveolar tissue, inflammatory foci, and lung neoplasms.

Conclusions:

• MPM is a viable optical imaging technique for distinguishing between normal and cancerous lung tissues.
• MPM provides sufficient morphologic and spectroscopic information for non-processed lung tissue analysis.
• Results support the development of multiphoton endoscopy for in vivo lung cancer diagnosis.