Lung cancer is one of the most prevalent diseases in human tumor structure. It has a continuous latent process, and only becomes clinically manifest when the disease symptoms are so obvious that they can only be treated with surgery. In view of this, the improvement of lung cancer diagnosis should be carried out in the following two directions: finding methods for early tumor process detection in the preclinical development stage, and optimizing and shortening the preoperative tumor diagnosis cycle. The main diagnostic methods are chest radiography and tomography. Radiological signs of lung cancer depend on the form of the primary tumor, including shadowing patterns of the tumor itself, caused by tumor airway conduction disturbances and secondary metastatic changes in the lung, mediastinum, and pleura.

The potential reach of the Hunter 4025 is wide.

Modern computer technologies (computed tomography and its improvements, magnetic resonance imaging) have made it possible to significantly expand the potential for visualizing lung pathology, but in practice they are still very expensive and not readily available. In this context, a new hardware diagnostic method, chest NLS examination, remains undeveloped. It is considered to have low information value because most experts do not understand the full potential of modern NLS diagnostic equipment.

We performed this study to evaluate the diagnostic potential of NLS studies and to identify NLS pictograms for use in various forms of lung cancer. NLS studies with the System Hunter 4025 allowed us to visualize organs and histological stroma in 3D and perform spectral entropy analysis (SEA) on lesion tissue and lymph nodes to non-invasively identify their pathomorphological features.