Margin diagnosis for endoscopic submucosal dissection of early gastric cancer using multiphoton microscopy.


Journal

Surgical endoscopy
ISSN: 1432-2218
Titre abrégé: Surg Endosc
Pays: Germany
ID NLM: 8806653

Informations de publication

Date de publication:
01 2020
Historique:
received: 18 11 2018
accepted: 04 04 2019
pubmed: 12 4 2019
medline: 21 10 2020
entrez: 12 4 2019
Statut: ppublish

Résumé

Endoscopic submucosal dissection (ESD) has become the primary option for the treatment of early gastric cancer (EGC). Thus, it is necessary to diagnose whether residual cancer cells exist in the ESD specimen margins, which can affect tumor recurrence and survival rates in the future. Multiphoton microscopy (MPM) can be suitably used for nondestructive imaging of biological tissue on a cellular level to enable real-time guidance during endoscopic therapy. Considering this, the objective of this study is to explore the practicality of MPM for the diagnosis of ESD specimen margins in the case of EGC. First, a total of 20 surgical samples was imaged using the proposed MPM technique to obtain two-photo excited fluorescence signal from the intrinsic fluorescent substances within cells and second-harmonic generation signal from collagen; these signals were used to determine MPM pathological features for margin diagnosis. Then, a double-blind study of 50 samples was conducted to evaluate the diagnosis results based on the obtained MPM pathological features. Multiphoton microscopy can accurately identify the cytological and morphological differences between tissue in the negative and positive margin. The sensitivity, specificity, accuracy, negative predictive, and positive predictive values of MPM in the diagnosis of ESD specimen margins were 97.62, 75.00, 94.00, 95.35, and 85.71%, respectively. These results indicate that MPM can be used as an effective, real-time, and label-free novel method to determine intraoperative resection margins.

Sections du résumé

BACKGROUND AND AIMS
Endoscopic submucosal dissection (ESD) has become the primary option for the treatment of early gastric cancer (EGC). Thus, it is necessary to diagnose whether residual cancer cells exist in the ESD specimen margins, which can affect tumor recurrence and survival rates in the future. Multiphoton microscopy (MPM) can be suitably used for nondestructive imaging of biological tissue on a cellular level to enable real-time guidance during endoscopic therapy. Considering this, the objective of this study is to explore the practicality of MPM for the diagnosis of ESD specimen margins in the case of EGC.
METHODS
First, a total of 20 surgical samples was imaged using the proposed MPM technique to obtain two-photo excited fluorescence signal from the intrinsic fluorescent substances within cells and second-harmonic generation signal from collagen; these signals were used to determine MPM pathological features for margin diagnosis. Then, a double-blind study of 50 samples was conducted to evaluate the diagnosis results based on the obtained MPM pathological features.
RESULTS
Multiphoton microscopy can accurately identify the cytological and morphological differences between tissue in the negative and positive margin. The sensitivity, specificity, accuracy, negative predictive, and positive predictive values of MPM in the diagnosis of ESD specimen margins were 97.62, 75.00, 94.00, 95.35, and 85.71%, respectively.
CONCLUSION
These results indicate that MPM can be used as an effective, real-time, and label-free novel method to determine intraoperative resection margins.

Identifiants

pubmed: 30972623
doi: 10.1007/s00464-019-06783-1
pii: 10.1007/s00464-019-06783-1
doi:

Types de publication

Clinical Trial Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

408-416

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Auteurs

Xiaoling Zheng (X)

Department of Endoscopy, Fujian Provincal Hospital, Fujian Medical University & College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, China.

Ning Zuo (N)

Fujian Provincial Key Laboratory for Photonics Technology & Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, China.

Hongxin Lin (H)

Fujian Provincial Key Laboratory for Photonics Technology & Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, China.

Liqin Zheng (L)

Fujian Provincial Key Laboratory for Photonics Technology & Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, China.

Ming Ni (M)

School of Biological Sciences & Engineering, Yachay Tech University, Hacienda San José s/n, 100105, San Miguel de Urcuquí, Ecuador.

Guizhu Wu (G)

Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China. wugz6666@126.com.

Jianxin Chen (J)

Fujian Provincial Key Laboratory for Photonics Technology & Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, China.

Shuangmu Zhuo (S)

Department of Endoscopy, Fujian Provincal Hospital, Fujian Medical University & College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, China. shuangmuzhuo@gmail.com.
Fujian Provincial Key Laboratory for Photonics Technology & Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, China. shuangmuzhuo@gmail.com.

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