Potential of photodynamic therapy using polycationic photosensitizers in the treatment of lung cancer patients with SARS-CoV-2 infection and bacterial complications: Our recent experience.

The problem of treating cancer patients with lung cancer has become more difficult due to the SARS-CoV-2 viral infection and concomitant bacterial lesions. The analysis shows that the photodynamic effect of long-wavelength polycationic photosensitizers suppresses the tumor process (including the destruction of cancer stem cells), SARS-CoV-2 coronavirus infection, Gram-positive and Gram-negative bacteria, including those that can cause pneumonia. Therefore, the photodynamic approach using such photosensitizers is promising for the development of an effective treatment method for patients with lung cancer, including those with SARS-CoV-2 infection and bacterial complications.

LVI-PathNet: Segmentation-classification pipeline for detection of lymphovascular invasion in whole slide images of lung adenocarcinoma.

Lymphovascular invasion (LVI) in lung cancer is a significant prognostic factor that influences treatment and outcomes, yet its reliable detection is challenging due to interobserver variability. This study aims to develop a deep learning model for LVI detection using whole slide images (WSIs) and evaluate its effectiveness within a pathologist's information system. Experienced pathologists annotated blood vessels and invading tumor cells in 162 WSIs of non-mucinous lung adenocarcinoma sourced from two external and one internal datasets.