11 July 2016 Differentiating gastrointestinal stromal tumors from gastric adenocarcinomas and normal mucosae using confocal Raman microspectroscopy
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Abstract
Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal neoplasms of the gastrointestinal tract, and gastric adenocarcinomas are a common cancer worldwide. To differentiate GISTs from adenocarcinomas is important because the surgical processes for both are different; the former excises the tumor with negative margins, while the latter requires radical gastrectomy with lymph node dissection. Endoscopy with biopsy is used to distinguish GISTs from adenocarcinomas; however, it may cause tumor bleeding in GISTs. We reported here the confocal Raman microspectroscopy as an effective tool to differentiate GISTs, adenocarcinomas, and normal mucosae. Of 119 patients enrolled in this study, 102 patients underwent gastrectomy (40 GISTs and 62 adenocarcinomas), and 17 patients with benign lesions were obtained as normal mucosae. Raman signals were integrated for 100 s for each spot on the specimen, and 5 to 10 spots, depending on the sample size, were chosen for each specimen. There were significant differences among those tissues as evidenced by different Raman signal responding to phospholipids and protein structures. The spectral data were further processed and analyzed by using principal component analysis. A two-dimensional plot demonstrated that GISTs, adenocarcinomas, and normal gastric mucosae could be effectively differentiated from each other.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Chih-Wei Hsu, Chih-Wei Hsu, Chia-Chi Huang, Chia-Chi Huang, Jeng-Horng Sheu, Jeng-Horng Sheu, Chia-Wen Lin, Chia-Wen Lin, Lien-Fu Lin, Lien-Fu Lin, Jong-Shiaw Jin, Jong-Shiaw Jin, Wenlung Chen, Wenlung Chen, } "Differentiating gastrointestinal stromal tumors from gastric adenocarcinomas and normal mucosae using confocal Raman microspectroscopy," Journal of Biomedical Optics 21(7), 075006 (11 July 2016). https://doi.org/10.1117/1.JBO.21.7.075006 . Submission:
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