P132. Femtosecond Laser Imaging (FLI): A Rapid and Reliable Alternative for Intraoperative Pathological Assessment in Thoracic Oncology
Presented During: Adult Cardiac Poster Session II
Zhongshan Hospital, Fudan University
Shanghai, Shanghai
China - Contact Me
Dr. Yin is a doctoral candidate in thoracic surgery at Zhongshan Hospital, Fudan University. He has completed standardized surgical training at Zhongshan Hospital and is actively involved in clinical and translational research. His main research interests include the surgical treatment of esophageal and lung cancer, perioperative neoadjuvant and adjuvant therapies, and visualization-based research. Dr. Yin has delivered an oral presentation at the 20th World Congress for Esophageal Diseases, and his work has been published in leading journals such as J Thorac Cardiovasc Surg, Cancer Immunol Immunother, and Thoracic Cancer.
Monday, May 4, 2026: 9:00 AM - 4:00 PM
McCormick Place Lakeside Center
Room: Exhibit Hall, Poster Area
Description
Objective
This study aims to evaluate the potential of FLI as a supplementary tool for intraoperative frozen section analysis in lung cancer and as a method for predicting the efficacy of neoadjuvant therapy in esophageal cancer. The goal is to assess how FLI images can enhance intraoperative decision-making in lung cancer and provide insights into treatment responses in esophageal cancer.
Methods
We collected 73 tissue samples from 40 patients undergoing resection for lung and esophageal cancers. The tissue was imaged using the FLI system, which provides high-resolution, label-free, and multi-modal imaging without the need for staining or sectioning. HE-stained sections were prepared for each sample as the gold standard for pathological comparison. The FLI images and HE sections were analyzed for their ability to detect key tissue structures and tumor regions.
Results
We collected tissue samples from 40 patients undergoing resection for lung and esophageal cancers, including both pre- and post-treatment samples from esophageal cancer patients receiving neoadjuvant therapy. A total of 73 samples were imaged using the FLI system, which enables high-resolution, label-free, multi-modal imaging without the need for staining or slicing. H&E-stained sections were prepared for each sample for comparison. FLI images were analyzed for tumor detection, margin evaluation, and therapy-induced tissue changes in esophageal cancer.
Conclusions
FLI technology holds great promise as a real-time, label-free imaging method that could complement intraoperative frozen section analysis. The findings suggest that FLI may offer enhanced precision in tumor detection and surgical margin evaluation. However, further studies with a larger sample size and continued development of machine learning algorithms are needed to fully realize its potential as a reliable adjunct to traditional pathology techniques.
Authors
Hao Yin (1), Hao Yin (1), Ming Li (1), Fangyi Liu (1), Wendi Zhu (1), Wenlong Yu (2), Xin Zhu (2), Mingxiang Feng (1), Lijie Tan (1)
Institutions
(1) Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, Shanghai, (2) Femtosecond Research Center(Guangzhou), Ltd, Guangdong, Guangzhou
This study aims to evaluate the potential of FLI as a supplementary tool for intraoperative frozen section analysis in lung cancer and as a method for predicting the efficacy of neoadjuvant therapy in esophageal cancer. The goal is to assess how FLI images can enhance intraoperative decision-making in lung cancer and provide insights into treatment responses in esophageal cancer.
Methods
We collected 73 tissue samples from 40 patients undergoing resection for lung and esophageal cancers. The tissue was imaged using the FLI system, which provides high-resolution, label-free, and multi-modal imaging without the need for staining or sectioning. HE-stained sections were prepared for each sample as the gold standard for pathological comparison. The FLI images and HE sections were analyzed for their ability to detect key tissue structures and tumor regions.
Results
We collected tissue samples from 40 patients undergoing resection for lung and esophageal cancers, including both pre- and post-treatment samples from esophageal cancer patients receiving neoadjuvant therapy. A total of 73 samples were imaged using the FLI system, which enables high-resolution, label-free, multi-modal imaging without the need for staining or slicing. H&E-stained sections were prepared for each sample for comparison. FLI images were analyzed for tumor detection, margin evaluation, and therapy-induced tissue changes in esophageal cancer.
Conclusions
FLI technology holds great promise as a real-time, label-free imaging method that could complement intraoperative frozen section analysis. The findings suggest that FLI may offer enhanced precision in tumor detection and surgical margin evaluation. However, further studies with a larger sample size and continued development of machine learning algorithms are needed to fully realize its potential as a reliable adjunct to traditional pathology techniques.
Authors
Hao Yin (1), Hao Yin (1), Ming Li (1), Fangyi Liu (1), Wendi Zhu (1), Wenlong Yu (2), Xin Zhu (2), Mingxiang Feng (1), Lijie Tan (1)
Institutions
(1) Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, Shanghai, (2) Femtosecond Research Center(Guangzhou), Ltd, Guangdong, Guangzhou
Presentation Duration
There is no formal presentation for posters. Your poster will be on display on your assigned day from 9:00AM - 4:00PM
View Submission
ADULT CARDIAC
Innovations: New devices or novel approaches, preclinical or clinical