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Invasive growth of cancer cells in the brain makes it difficult to accurately locate the tumor boundary, which is the main reason for the high mortality and high recurrence rate of glioma
.
The acidification of extracellular fluid caused by high levels of glucolysis in cancer cells is a typical feature of almost all solid tumors
.
There is a spatiotemporal correlation between extra-tissue fluid acidification and the degree of malignancy
.
In addition, acidification of the microenvironment plays an important role in tumor cell stemness maintenance, phenotype screening, invasion, invasion, and immune evasion
.
Therefore, intraoperative visualization of tumor metabolic acidification boundary provides a new idea for complete resection of glioma
.
Recently, a joint research team of Professor Li Cong from the School of Pharmacy of Fudan University, Researcher Zhang Xiaoyong from the Institute of Brain-inspired Intelligence Science and Technology, Professor Yu Jinhua from the School of Information Science and Technology, and Professor Mao Ying from the Department of Neurosurgery of the Huashan Hospital Affiliated Huashan Hospital has constructed a new type of surface-enhanced Raman scattering based on surface-enhanced Raman scattering.
Proof-of-Principle System for Glioma Surgical Navigation (SERS) Technology
.
The system consists of a self-developed pH-responsive SERS chip, a handheld Raman spectrometer and a Raman spectroscopy deep learning system
.
This work proposes a water droplet-assisted tissue sampling technique, which can nondestructively transfer metabolites on the surface of suspicious tissue from surgical sections to a SERS chip
.
A new principle of the reporter-induced surface-enhanced Raman resonance effect is also proposed
.
The rapid determination of pH value of micro-droplet samples is realized
.
The self-built deep learning model automatically analyzes the sample Raman spectrum and accurately and quickly determines the pH value of the sample
.
The intelligent SERS system navigation can measure pH at 64 tissue sites (approximately 1 cm2) within 6 minutes, and locate the “acidic metabolic boundary” by mapping the tissue pH distribution
.
Compared with clinical surgical navigation technology, the surgical navigation strategy based on the "acidified boundary" significantly improves the survival rate of rat glioma model and delays the rate of tumor recurrence
.
In addition, through the analysis of glioma tissue samples from five patients, a correlation between acidification and malignancy was also found, revealing the feasibility of clinical translation of the "metabolic boundary" surgical navigation strategy
.
Figure 1.
Schematic diagram of the intelligent Raman surgical navigation system
.
The system consists of a self-developed SERS chip, a handheld Raman spectrometer and a deep learning model
.
A water droplet-assisted tissue sampling technique is proposed to non-destructively transfer metabolites from suspicious tissue regions to a SERS chip
.
The Raman spectrometer collects the Raman signal on the SERS chip and uses the deep learning model to determine the pH of the sample and draw the pH distribution map of the surgical section
.
The work was published online in the journal Advanced Science under the title "Intelligent SERS Navigation System Guiding Brain Tumor Surgery by Intraoperatively Delineating the Metabolic Acidosis" (Intelligent SERS Navigation System Guiding Brain Tumor Surgery by Intraoperatively Delineating the Metabolic Acidosis)
.
Jin Ziyi, a doctoral student from the School of Pharmacy of Fudan University, Yue Qi, an attending physician of Huashan Hospital, Duan Wenjia, a doctoral student, and Sui An, a master student from the Department of Electronic Engineering of Fudan University, are the co-first authors of the paper
.
Prof.
Mao Ying from the Department of Neurosurgery of Huashan Hospital, Prof.
Yu Jinhua from the Department of Electronic Engineering, Prof.
Zhang Xiaoyong from the Institute of Brain-inspired Intelligence Science and Technology, and Prof.
Li Cong from the School of Pharmacy of Fudan University are the co-corresponding authors of the paper
.
The surgical navigation system can quickly locate the glioma-infiltrating area during surgery and improve the surgical prognosis of glioma patients
.
In addition, this technology does not require the injection of exogenous probes, which is expected to speed up clinical translation applications
.
This work has been supported by the National Key R&D Program of the Ministry of Science and Technology, the National Fund for Distinguished Young Scholars of the National Natural Science Foundation of China, the Shanghai Municipal Science and Technology Major Project for the Basic Transformation and Application of Brain and Brain-like Intelligence, and the Double First-Class Project of the Shanghai Science and Technology Commission and Fudan University.
support
.
WILEY paper information: Intelligent SERS Navigation System Guiding Brain Tumor Surgery by Intraoperatively Delineating the Metabolic AcidosisZiyi Jin, Qi Yue, Wenjia Duan, An Sui, Botao Zhao, Yinhui Deng, Yuting Zhai, Yuwen Zhang, Tao Sun, Guang-Ping Zhang, Limei Han, Ying Mao*, Jinhua Yu*, Xiao-Yong Zhang*, Cong Li*Advanced ScienceDOI:10.
1002/advs.
202104935Click "Read the original text" in the lower left corner to view the original text of the paper
.
Introduction to AdvancedScience Journal Advanced Science is a high-quality open-source journal founded by Wiley in 2014.
It publishes innovative achievements and cutting-edge progress in various fields such as materials science, physical chemistry, biomedicine, and engineering
.
The journal is committed to maximizing the dissemination of scientific research to the public, and all articles are freely available
.
The latest impact factor is 16.
806, and the 2020 SCI journals of the Chinese Academy of Sciences are divided into the Q1 area of materials science and the Q1 area of engineering technology
.
Press and hold the QR code on the official WeChat platform of AdvancedScienceNewsWiley's scientific research information to follow us and share cutting-edge information｜Focus on scientific research trends to publish scientific research news or apply for information sharing, please contact: ASNChina@Wiley.
com
.
The acidification of extracellular fluid caused by high levels of glucolysis in cancer cells is a typical feature of almost all solid tumors
.
There is a spatiotemporal correlation between extra-tissue fluid acidification and the degree of malignancy
.
In addition, acidification of the microenvironment plays an important role in tumor cell stemness maintenance, phenotype screening, invasion, invasion, and immune evasion
.
Therefore, intraoperative visualization of tumor metabolic acidification boundary provides a new idea for complete resection of glioma
.
Recently, a joint research team of Professor Li Cong from the School of Pharmacy of Fudan University, Researcher Zhang Xiaoyong from the Institute of Brain-inspired Intelligence Science and Technology, Professor Yu Jinhua from the School of Information Science and Technology, and Professor Mao Ying from the Department of Neurosurgery of the Huashan Hospital Affiliated Huashan Hospital has constructed a new type of surface-enhanced Raman scattering based on surface-enhanced Raman scattering.
Proof-of-Principle System for Glioma Surgical Navigation (SERS) Technology
.
The system consists of a self-developed pH-responsive SERS chip, a handheld Raman spectrometer and a Raman spectroscopy deep learning system
.
This work proposes a water droplet-assisted tissue sampling technique, which can nondestructively transfer metabolites on the surface of suspicious tissue from surgical sections to a SERS chip
.
A new principle of the reporter-induced surface-enhanced Raman resonance effect is also proposed
.
The rapid determination of pH value of micro-droplet samples is realized
.
The self-built deep learning model automatically analyzes the sample Raman spectrum and accurately and quickly determines the pH value of the sample
.
The intelligent SERS system navigation can measure pH at 64 tissue sites (approximately 1 cm2) within 6 minutes, and locate the “acidic metabolic boundary” by mapping the tissue pH distribution
.
Compared with clinical surgical navigation technology, the surgical navigation strategy based on the "acidified boundary" significantly improves the survival rate of rat glioma model and delays the rate of tumor recurrence
.
In addition, through the analysis of glioma tissue samples from five patients, a correlation between acidification and malignancy was also found, revealing the feasibility of clinical translation of the "metabolic boundary" surgical navigation strategy
.
Figure 1.
Schematic diagram of the intelligent Raman surgical navigation system
.
The system consists of a self-developed SERS chip, a handheld Raman spectrometer and a deep learning model
.
A water droplet-assisted tissue sampling technique is proposed to non-destructively transfer metabolites from suspicious tissue regions to a SERS chip
.
The Raman spectrometer collects the Raman signal on the SERS chip and uses the deep learning model to determine the pH of the sample and draw the pH distribution map of the surgical section
.
The work was published online in the journal Advanced Science under the title "Intelligent SERS Navigation System Guiding Brain Tumor Surgery by Intraoperatively Delineating the Metabolic Acidosis" (Intelligent SERS Navigation System Guiding Brain Tumor Surgery by Intraoperatively Delineating the Metabolic Acidosis)
.
Jin Ziyi, a doctoral student from the School of Pharmacy of Fudan University, Yue Qi, an attending physician of Huashan Hospital, Duan Wenjia, a doctoral student, and Sui An, a master student from the Department of Electronic Engineering of Fudan University, are the co-first authors of the paper
.
Prof.
Mao Ying from the Department of Neurosurgery of Huashan Hospital, Prof.
Yu Jinhua from the Department of Electronic Engineering, Prof.
Zhang Xiaoyong from the Institute of Brain-inspired Intelligence Science and Technology, and Prof.
Li Cong from the School of Pharmacy of Fudan University are the co-corresponding authors of the paper
.
The surgical navigation system can quickly locate the glioma-infiltrating area during surgery and improve the surgical prognosis of glioma patients
.
In addition, this technology does not require the injection of exogenous probes, which is expected to speed up clinical translation applications
.
This work has been supported by the National Key R&D Program of the Ministry of Science and Technology, the National Fund for Distinguished Young Scholars of the National Natural Science Foundation of China, the Shanghai Municipal Science and Technology Major Project for the Basic Transformation and Application of Brain and Brain-like Intelligence, and the Double First-Class Project of the Shanghai Science and Technology Commission and Fudan University.
support
.
WILEY paper information: Intelligent SERS Navigation System Guiding Brain Tumor Surgery by Intraoperatively Delineating the Metabolic AcidosisZiyi Jin, Qi Yue, Wenjia Duan, An Sui, Botao Zhao, Yinhui Deng, Yuting Zhai, Yuwen Zhang, Tao Sun, Guang-Ping Zhang, Limei Han, Ying Mao*, Jinhua Yu*, Xiao-Yong Zhang*, Cong Li*Advanced ScienceDOI:10.
1002/advs.
202104935Click "Read the original text" in the lower left corner to view the original text of the paper
.
Introduction to AdvancedScience Journal Advanced Science is a high-quality open-source journal founded by Wiley in 2014.
It publishes innovative achievements and cutting-edge progress in various fields such as materials science, physical chemistry, biomedicine, and engineering
.
The journal is committed to maximizing the dissemination of scientific research to the public, and all articles are freely available
.
The latest impact factor is 16.
806, and the 2020 SCI journals of the Chinese Academy of Sciences are divided into the Q1 area of materials science and the Q1 area of engineering technology
.
Press and hold the QR code on the official WeChat platform of AdvancedScienceNewsWiley's scientific research information to follow us and share cutting-edge information｜Focus on scientific research trends to publish scientific research news or apply for information sharing, please contact: ASNChina@Wiley.
com
