In-vitro study on the identification of gastrointestinal stromal tumor tissues using laser-induced breakdown spectroscopy with chemometric methods

Bushra Sana Idrees; Qianqian Wang; M Nouman Khan; Geer Teng; Xutai Cui; Wenting Xiangli; Kai Wei

doi:10.1364/BOE.442489

In-vitro study on the identification of gastrointestinal stromal tumor tissues using laser-induced breakdown spectroscopy with chemometric methods

Biomed Opt Express. 2021 Dec 2;13(1):26-38. doi: 10.1364/BOE.442489. eCollection 2022 Jan 1.

Authors

Bushra Sana Idrees^{1

2}, Qianqian Wang^{1

2

3}, M Nouman Khan^{1

2}, Geer Teng^{1

2

3}, Xutai Cui^{1

2}, Wenting Xiangli^{1

2}, Kai Wei^{1

2}

Affiliations

¹ School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China.
² Key Laboratory of Photonic Information Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, 100081 Beijing, China.
³ Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314033, China.

Abstract

Early-stage detection of tumors helps to improve patient survival rate. In this work, we demonstrate a novel discrimination method to diagnose the gastrointestinal stromal tumor (GIST) and its healthy formalin fixed paraffin embedded (FFPE) tissues by combining chemometric algorithms with laser-induced breakdown spectroscopy (LIBS). Chemometric methods which include partial least square discrimination analysis (PLS-DA), k-nearest neighbor (k-NN) and support vector machine (SVM) were used to build the discrimination models. The comparison of PLS-DA, k-NN and SVM classifiers shows an increase in accuracy from 94.44% to 100%. The comparison of LIBS signal between the healthy and infected tissues shows an enhancement of calcium lines which is a signature of the presence of GIST in the FFPE tissues. Our results may provide a complementary method for the rapid detection of tumors for the successful treatment of patients.