4.7 Article

Imaging of Tumor Boundary Based on Multielements and Molecular Fragments Heterogeneity in Lung Cancer

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2021.3102755

Keywords

Heterogeneity; laser-induced breakdown spectroscopy (LIBS); molecular fragments; multielements; tumor boundary

Funding

  1. National Natural Science Foundation of China [61605134]
  2. Sichuan Applied Basic Research Project [2019YJ0078]

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The study proposed an innovative method for diagnostic analysis of clinical lung cancer tissues based on label-free imaging. Laser-induced breakdown spectroscopy imaging was used to obtain the heterogeneity of multielements and molecular fragments in three types of clinical samples. Results revealed differential distribution of Ca, Mg, Na, and Cu in different tissues, as well as spatial heterogeneity of molecular fragments between tumor and necrosis regions.
Elucidating the boundary of tumors is significant for cancer diagnosis and cure. In this work, our group proposed an innovative method for the diagnostic analysis of clinical lung cancer tissues based on label-free imaging. The heterogeneity of multielements and molecular fragments was obtained simultaneously for three types of clinical samples containing different proportions of cancerous tissue by laser-induced breakdown spectroscopy (LIBS) imaging. The results of elemental imaging mainly reveal the differential distribution of Ca, Mg, Na, and Cu in cancer tissues, paracancer tissues, and normal tissues. In particular, for the first time, we discovered the spatial heterogeneity of molecular fragments between tumor and necrosis regions. The tumor regions produced more CN molecules during laser ablation, while almost no C-2 molecules were produced. Further spatial segmentation shows the clearer boundary of the tumor and necrotic areas in cancer tissues and paracancer tissues. Our work indicates that the heterogeneity of multielements and molecular fragments has great potential as diagnostic biomarkers of tumors boundary.

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