Automatic extraction of asymmetric collagen for T staging of esophageal cancer in multiphoton microscopy

Research goal was to demonstrate whether multiphoton microscopy (MPM) can be employed for identifying T staging of esophageal cancer (EC). For comprehending T staging of EC better, the tumor infiltration depth in esophageal wall of each cancer staging was first shown. In order to automatic identification the boundaries between normal layers that without tumor infiltration, a boundary detection algorithm is proposed by extracting SHG signals which are produced by collagen molecules with asymmetric architecture in MPM images. Then, the morphological differentiation of tumor cells from main components of esophageal wall was performed. The tumor infiltration depth was decided by evaluating the position of tumor cells and the boundaries. After then, Tis, T1a, T1b, T2 and T3 staging of esophageal cancer were identified. The outcomes indicate that MPM can be applied for automatic identifying T staging of EC. Every effort was made to developed compact multiphoton microendoscope system with high speed and ultra-deep penetration depth in recent years. There was every reason to believe that clinical application of MPM in automatic identifying esophageal cancer staging will be possible in the future.

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Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1117/12.3039098
Primary Topic
Advanced Biosensing Techniques and Applications
Type
article
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article

Automatic extraction of asymmetric collagen for T staging of esophageal cancer in multiphoton microscopy

Deyong Kang, Shanghai Jiang, Jiangbo Lin, Chi Zhang et al.
Advanced Biosensing Techniques and Applications
article

Automatic extraction of asymmetric collagen for T staging of esophageal cancer in multiphoton microscopy

Deyong Kang, Shanghai Jiang, Jiangbo Lin, Chi Zhang, Jianxin Chen, Jian Xu, Yuan-Hua Wu, Ge‐Liang Xu
article en

Abstract

Research goal was to demonstrate whether multiphoton microscopy (MPM) can be employed for identifying T staging of esophageal cancer (EC). For comprehending T staging of EC better, the tumor infiltration depth in esophageal wall of each cancer staging was first shown. In order to automatic identification the boundaries between normal layers that without tumor infiltration, a boundary detection algorithm is proposed by extracting SHG signals which are produced by collagen molecules with asymmetric architecture in MPM images. Then, the morphological differentiation of tumor cells from main components of esophageal wall was performed. The tumor infiltration depth was decided by evaluating the position of tumor cells and the boundaries. After then, Tis, T1a, T1b, T2 and T3 staging of esophageal cancer were identified. The outcomes indicate that MPM can be applied for automatic identifying T staging of EC. Every effort was made to developed compact multiphoton microendoscope system with high speed and ultra-deep penetration depth in recent years. There was every reason to believe that clinical application of MPM in automatic identifying esophageal cancer staging will be possible in the future.

Fujian Normal University (CN), Fujian Medical University (CN), Bengbu Medical College (CN), Bengbu University, Chaohu University (CN)
Openalex Percentile: Top 86%
Advanced Biosensing Techniques and Applications
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