Rapid pathologic grading-based diagnosis of esophageal squamous cell carcinoma via Raman spectroscopy and a deep learning algorithm

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 31, Issue 14

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Gastroenterology

ISSN

1007-9327

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Cohort Study

World J Gastroenterol. Apr 14, 2025; 31(14): 104280
Published online Apr 14, 2025. doi: 10.3748/wjg.v31.i14.104280

Table 6 Analysis of peak positions and assignment in Raman spectra of health, low, and high tissues

Raman shift, cm^-1	Intensity	Band assignment
891	w	Lauric acid
1004	w	v_s(C-C) ring breathing of phenylalanine
1078	w	v(C-C) of lipids
1095	w, m	DNA; symmetric PO, stretching vibration
1132	m	Cytochrome c
1171	w, m	Acetoacetate
1216	m	Amide III and CH₂ wagging
1295	w	Amide III delta (CH)₂
1315	m	Glycerol
1369	w	Thymine
1440	w	Lipin
1448-1468	w	CH₃ deformation

Intensity: “w” means weak (0.4-0.6) and “m” means mid (0.6-0.8).

Citation: Yu XY, Chen J, Li LY, Chen FE, He Q. Rapid pathologic grading-based diagnosis of esophageal squamous cell carcinoma via Raman spectroscopy and a deep learning algorithm. World J Gastroenterol 2025; 31(14): 104280
URL: https://www.wjgnet.com/1007-9327/full/v31/i14/104280.htm
DOI: https://dx.doi.org/10.3748/wjg.v31.i14.104280

Yu XY, Chen J, Li LY, Chen FE, He Q. Rapid pathologic grading-based diagnosis of esophageal squamous cell carcinoma via Raman spectroscopy and a deep learning algorithm. World J Gastroenterol 2025; 31(14): 104280 [PMID: 40248385 DOI: 10.3748/wjg.v31.i14.104280]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.