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Zhang C, Yin Q, Ge S, Qi J, Han Q, Gao W, Wang Y, Zhang M, Dong J. Optical anti-counterfeiting and information storage based on rare-earth-doped luminescent materials. MATERIALS RESEARCH BULLETIN 2024; 176:112801. [DOI: 10.1016/j.materresbull.2024.112801] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2025]
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Ullah Z, Roy S, Muhammad S, Yu C, Huang H, Chen D, Long H, Yang X, Du X, Guo B. Fluorescence imaging-guided surgery: current status and future directions. Biomater Sci 2024; 12:3765-3804. [PMID: 38961718 DOI: 10.1039/d4bm00410h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/05/2024]
Abstract
Surgery is one of the most important paradigms for tumor therapy, while fluorescence imaging (FI) offers real-time intraoperative guidance, greatly boosting treatment prognosis. The imaging fidelity heavily relies on not only imaging facilities but also probes for imaging-guided surgery (IGS). So far, a great number of IGS probes with emission in visible (400-700 nm) and near-infrared (NIR 700-1700 nm) windows have been developed for pinpointing disease margins intraoperatively. Herein, the state-of-the-art fluorescent probes for IGS are timely updated, with a special focus on the fluorescent probes under clinical examination. For a better demonstration of the superiority of NIR FI over visible FI, both imaging modalities are critically compared regarding signal-to-background ratio, penetration depth, resolution, tissue autofluorescence, photostability, and biocompatibility. Various types of fluorescence IGS have been summarized to demonstrate its importance in the medical field. Furthermore, the most recent progress of fluorescent probes in NIR-I and NIR-II windows is summarized. Finally, an outlook on multimodal imaging, FI beyond NIR-II, efficient tumor targeting, automated IGS, the use of AI and machine learning for designing fluorescent probes, and the fluorescence-guided da Vinci surgical system is given. We hope this review will stimulate interest among researchers in different areas and expedite the translation of fluorescent probes from bench to bedside.
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Affiliation(s)
- Zia Ullah
- School of Science, Shenzhen Key Laboratory of Flexible Printed Electronics Technology, Shenzhen Key Laboratory of Advanced Functional Carbon Materials Research and Comprehensive Application, Harbin Institute of Technology, Shenzhen-518055, China.
| | - Shubham Roy
- School of Science, Shenzhen Key Laboratory of Flexible Printed Electronics Technology, Shenzhen Key Laboratory of Advanced Functional Carbon Materials Research and Comprehensive Application, Harbin Institute of Technology, Shenzhen-518055, China.
| | - Saz Muhammad
- School of Science, Shenzhen Key Laboratory of Flexible Printed Electronics Technology, Shenzhen Key Laboratory of Advanced Functional Carbon Materials Research and Comprehensive Application, Harbin Institute of Technology, Shenzhen-518055, China.
- School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Chen Yu
- School of Science, Shenzhen Key Laboratory of Flexible Printed Electronics Technology, Shenzhen Key Laboratory of Advanced Functional Carbon Materials Research and Comprehensive Application, Harbin Institute of Technology, Shenzhen-518055, China.
- College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, 518060, China
| | - Haiyan Huang
- School of Science, Shenzhen Key Laboratory of Flexible Printed Electronics Technology, Shenzhen Key Laboratory of Advanced Functional Carbon Materials Research and Comprehensive Application, Harbin Institute of Technology, Shenzhen-518055, China.
| | - Dongxiang Chen
- School of Science, Shenzhen Key Laboratory of Flexible Printed Electronics Technology, Shenzhen Key Laboratory of Advanced Functional Carbon Materials Research and Comprehensive Application, Harbin Institute of Technology, Shenzhen-518055, China.
| | - Haodong Long
- School of Science, Shenzhen Key Laboratory of Flexible Printed Electronics Technology, Shenzhen Key Laboratory of Advanced Functional Carbon Materials Research and Comprehensive Application, Harbin Institute of Technology, Shenzhen-518055, China.
| | - Xiulan Yang
- School of Computer Science and Engineering, Yulin Normal University, Yulin, 537000, China.
| | - Xuelian Du
- Department of Gynecology, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, No. 1, Fuhua Road, Futian District, Shenzhen, 518033, China.
| | - Bing Guo
- School of Science, Shenzhen Key Laboratory of Flexible Printed Electronics Technology, Shenzhen Key Laboratory of Advanced Functional Carbon Materials Research and Comprehensive Application, Harbin Institute of Technology, Shenzhen-518055, China.
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Li H, Du Z, Zhu L, Zhang C, Xiong J, Zhou B, Dong B, Zhang X, Alifu N. Ultrabright NIR-IIb Fluorescence Quantum Dots for Targeted Imaging-Guided Surgery. ACS APPLIED MATERIALS & INTERFACES 2024; 16:32045-32057. [PMID: 38861701 DOI: 10.1021/acsami.4c04748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2024]
Abstract
Pioneering approaches for precise tumor removal involve fluorescence-guided surgery, while challenges persist, including the low fluorescence contrast observed at tumor boundaries and the potential for excessive damage to normal tissue at the edges. Lead/cadmium sulfide quantum dots (PbS@CdS QDs), boasting high quantum yields (QYs) and vivid fluorescence, have facilitated advancements in the second near-infrared window (NIR-II, 900-1700 nm). However, during fluorescent surgical navigation operations, hydrophilic coatings of these inorganic nanoparticles (NPs) guarantee biosafety; it also comes at the expense of losing a significant portion of QY and NIR-II fluorescence, causing heightened damage to normal tissues caused by cutting edges. Herein, we present hydrophilic core-shell PbS@CdS@PEG NPs with an exceptionally small diameter (∼8 nm) and a brilliant NIR-IIb (1500-1700 nm) emission at approximately 1600 nm. The mPEG-SH (MW: 2000) addresses the hydrophobicity and enhances the biosafety of PbS@CdS QDs. In vivo fluorescence-guided cervical tumor resection becomes achievable immediately upon injection of an aqueous solution of PbS@CdS@PEG NPs. Notably, this approach results in a significantly reduced thickness (100-500 μm) of damage to normal tissues at the margins of the resected tumors. With a high QY (∼30.2%) and robust resistance to photobleaching, NIR-IIb imaging is sustained throughout the imaging process.
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Affiliation(s)
- Hui Li
- Department of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi 830054, China
| | - Zhong Du
- The Second Affiliated Hospital of Xinjiang Medical University, Urumqi 841100, China
| | - Lijun Zhu
- The Second Affiliated Hospital of Xinjiang Medical University, Urumqi 841100, China
| | - Chi Zhang
- Department of Labor Hygiene and Environmental Hygiene, School of Public Health, Xinjiang Medical University, Urumqi 830054, China
| | - Jiabao Xiong
- The Second Affiliated Hospital of Xinjiang Medical University, Urumqi 841100, China
| | - Bingshuai Zhou
- State Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, China
| | - Biao Dong
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, School of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830054, China
- State Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, China
| | - Xueliang Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi 830054, China
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, School of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830054, China
| | - Nuernisha Alifu
- Department of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi 830054, China
- Department of Labor Hygiene and Environmental Hygiene, School of Public Health, Xinjiang Medical University, Urumqi 830054, China
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, School of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830054, China
- The Second Affiliated Hospital of Xinjiang Medical University, Urumqi 841100, China
- Engineering Research Center of Xinjiang and Central Asian Medicine Resources, Ministry of Education, Urumqi 830017, China
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Grajales D, Le WT, Tran T, David S, Dallaire F, Ember K, Leblond F, Ménard C, Kadoury S. Robot-assisted biopsy sampling for online Raman spectroscopy cancer confirmation in the operating room. Int J Comput Assist Radiol Surg 2024; 19:1103-1111. [PMID: 38573566 DOI: 10.1007/s11548-024-03100-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 03/04/2024] [Indexed: 04/05/2024]
Abstract
PURPOSE Cancer confirmation in the operating room (OR) is crucial to improve local control in cancer therapies. Histopathological analysis remains the gold standard, but there is a lack of real-time in situ cancer confirmation to support margin confirmation or remnant tissue. Raman spectroscopy (RS), as a label-free optical technique, has proven its power in cancer detection and, when integrated into a robotic assistance system, can positively impact the efficiency of procedures and the quality of life of patients, avoiding potential recurrence. METHODS A workflow is proposed where a 6-DOF robotic system (optical camera + MECA500 robotic arm) assists the characterization of fresh tissue samples using RS. Three calibration methods are compared for the robot, and the temporal efficiency is compared with standard hand-held analysis. For healthy/cancerous tissue discrimination, a 1D-convolutional neural network is proposed and tested on three ex vivo datasets (brain, breast, and prostate) containing processed RS and histopathology ground truth. RESULTS The robot achieves a minimum error of 0.20 mm (0.12) on a set of 30 test landmarks and demonstrates significant time reduction in 4 of the 5 proposed tasks. The proposed classification model can identify brain, breast, and prostate cancer with an accuracy of 0.83 (0.02), 0.93 (0.01), and 0.71 (0.01), respectively. CONCLUSION Automated RS analysis with deep learning demonstrates promising classification performance compared to commonly used support vector machines. Robotic assistance in tissue characterization can contribute to highly accurate, rapid, and robust biopsy analysis in the OR. These two elements are an important step toward real-time cancer confirmation using RS and OR integration.
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Affiliation(s)
- David Grajales
- Polytechnique Montréal, Montréal, QC, Canada.
- Centre de recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada.
| | - William T Le
- Polytechnique Montréal, Montréal, QC, Canada
- Centre de recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada
| | - Trang Tran
- Polytechnique Montréal, Montréal, QC, Canada
- Centre de recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada
| | - Sandryne David
- Polytechnique Montréal, Montréal, QC, Canada
- Centre de recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada
| | - Frédérick Dallaire
- Polytechnique Montréal, Montréal, QC, Canada
- Centre de recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada
| | - Katherine Ember
- Polytechnique Montréal, Montréal, QC, Canada
- Centre de recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada
| | - Frédéric Leblond
- Polytechnique Montréal, Montréal, QC, Canada
- Centre de recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada
- Institut du Cancer de Montréal, Montréal, QC, Canada
| | - Cynthia Ménard
- Centre de recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada
| | - Samuel Kadoury
- Polytechnique Montréal, Montréal, QC, Canada
- Centre de recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada
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Pop CF, Veys I, Bormans A, Larsimont D, Liberale G. Fluorescence imaging for real-time detection of breast cancer tumors using IV injection of indocyanine green with non-conventional imaging: a systematic review of preclinical and clinical studies of perioperative imaging technologies. Breast Cancer Res Treat 2024; 204:429-442. [PMID: 38182824 PMCID: PMC10959791 DOI: 10.1007/s10549-023-07199-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 11/22/2023] [Indexed: 01/07/2024]
Abstract
BACKGROUND This review summarizes the available data on the effectiveness of indocyanine green fluorescence imaging (ICG-FI) for real-time detection of breast cancer (BC) tumors with perioperative imaging technologies. METHODS PubMed and Scopus databases were exhaustively searched for publications on the use of the real-time ICG-FI evaluation of BC tumors with non-conventional breast imaging technologies. RESULTS Twenty-three studies were included in this review. ICG-FI has been used for BC tumor identification in 12 orthotopic animal tumor experiences, 4 studies on animal assessment, and for 7 human clinical applications. The BC tumor-to-background ratio (TBR) was 1.1-8.5 in orthotopic tumor models and 1.4-3.9 in animal experiences. The detection of primary human BC tumors varied from 40% to 100%. The mean TBR reported for human BC varied from 2.1 to 3.7. In two studies evaluating BC surgical margins, good sensitivity (93.3% and 100%) and specificity (60% and 96%) have been reported, with a negative predictive value of ICG-FI to predict margin involvement intraoperatively of 100% in one study. CONCLUSIONS The use of ICG-FI as a guiding tool for the real-time identification of BC tumors and for the assessment of tumor boundaries is promising. There is great variability between the studies with regard to timing and dose. Further evidence is needed to assess whether ICG-guided BC surgery may be implemented as a standard of care.
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Affiliation(s)
- C Florin Pop
- Department of Surgical Oncology, Institut Jules Bordet, Université Libre de Bruxelles, Rue Meylemeersch 90, 1070, Brussels, Belgium.
| | - Isabelle Veys
- Department of Surgical Oncology, Institut Jules Bordet, Université Libre de Bruxelles, Rue Meylemeersch 90, 1070, Brussels, Belgium
| | - Anne Bormans
- Institutional Library, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Denis Larsimont
- Department of Pathology, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Gabriel Liberale
- Department of Surgical Oncology, Institut Jules Bordet, Université Libre de Bruxelles, Rue Meylemeersch 90, 1070, Brussels, Belgium
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Yang Y, Jiang Q, Zhang F. Nanocrystals for Deep-Tissue In Vivo Luminescence Imaging in the Near-Infrared Region. Chem Rev 2024; 124:554-628. [PMID: 37991799 DOI: 10.1021/acs.chemrev.3c00506] [Citation(s) in RCA: 45] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2023]
Abstract
In vivo imaging technologies have emerged as a powerful tool for both fundamental research and clinical practice. In particular, luminescence imaging in the tissue-transparent near-infrared (NIR, 700-1700 nm) region offers tremendous potential for visualizing biological architectures and pathophysiological events in living subjects with deep tissue penetration and high imaging contrast owing to the reduced light-tissue interactions of absorption, scattering, and autofluorescence. The distinctive quantum effects of nanocrystals have been harnessed to achieve exceptional photophysical properties, establishing them as a promising category of luminescent probes. In this comprehensive review, the interactions between light and biological tissues, as well as the advantages of NIR light for in vivo luminescence imaging, are initially elaborated. Subsequently, we focus on achieving deep tissue penetration and improved imaging contrast by optimizing the performance of nanocrystal fluorophores. The ingenious design strategies of NIR nanocrystal probes are discussed, along with their respective biomedical applications in versatile in vivo luminescence imaging modalities. Finally, thought-provoking reflections on the challenges and prospects for future clinical translation of nanocrystal-based in vivo luminescence imaging in the NIR region are wisely provided.
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Affiliation(s)
- Yang Yang
- College of Energy Materials and Chemistry, State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot 010021, China
| | - Qunying Jiang
- College of Energy Materials and Chemistry, State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot 010021, China
| | - Fan Zhang
- College of Energy Materials and Chemistry, State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot 010021, China
- Department of Chemistry, State Key Laboratory of Molecular Engineering of Polymers, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University, Shanghai 200433, China
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Lin YS, Chen HY, Yang YP. Fluorescence photobleaching and recovery of fluorescein sodium in carbomer film. RSC Adv 2024; 14:3841-3844. [PMID: 38274174 PMCID: PMC10810102 DOI: 10.1039/d3ra08718b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 01/20/2024] [Indexed: 01/27/2024] Open
Abstract
This study investigated fluorescence photobleaching and the recovery of fluorescein sodium (FS)-loaded carbomer films. To mitigate errors caused by the self-quenching effect, the experiments were conducted at FS concentrations of 0.1, 0.5, and 1 wt%. The results revealed a nonlinear relationship between fluorescence intensity and FS concentration (0.1-1 wt%). Moreover, the degree and rate of photobleaching increased with FS concentration. The recovery level and recovery rate exhibited contrasting relationships with FS concentration. Higher FS concentrations were associated with a longer recovery time, which can be attributed to the prolonged irradiation, resulting in a bleached region that was larger than the initially irradiated area.
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Affiliation(s)
- Yung-Sheng Lin
- Department of Chemical Engineering, National United University Taiwan
| | - Hao-Yan Chen
- Department of Chemical Engineering, National United University Taiwan
| | - Yih-Pey Yang
- Department of Biomechatronic Engineering, National Ilan University Taiwan
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Huang H, Chen H, Shou D, Quan Y, Cheng J, Chen H, Ning G, Li Y, Xia Y, Zhou Y. Engineering siRNA-loaded and RGDfC-targeted selenium nanoparticles for highly efficient silencing of DCBLD2 gene for colorectal cancer treatment. DISCOVER NANO 2023; 18:94. [PMID: 37477789 PMCID: PMC10361954 DOI: 10.1186/s11671-023-03870-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 07/07/2023] [Indexed: 07/22/2023]
Abstract
Effective and safe delivery of small interfering RNA (siRNA) by nanomaterials to cancer cells is one of the main challenges in cancer treatment. In this study, we constructed the selenium nanoparticles conjugated with RGDfC (one tumor-targeted polypeptide) to prepare a biocompatible gene vector (RGDfC-SeNPs) and then loaded with siDCBLD2 to synthesize the RGDfC-Se@siDCBLD2 for colorectal cancer (CRC) therapy. As expected, RGDfC-SeNPs could enhance the cellular uptake of siDCBLD2 in human HCT-116 colon cancer cells by targeting polypeptide RGDfC on the surface of colon cancer cells. RGDfC-Se@siDCBLD2 could be effectively internalized by HCT-116 cells mainly through a clathrin-related endocytosis pathway. In addition, RGDfC-Se@siDCBLD2 exhibited high siRNA release efficiency in an acidic tumor environment. Moreover, RGDfC-Se@siDCBLD2 could inhibit the proliferation and induce apoptosis in HCT-116 cells by special silencing gene DCBLD2 expression. RGDfC-Se@siDCBLD2 could be specifically accumulated to the tumor sites and exhibited significantly anti-CRC efficacy on HCT-116 tumor-bearing mice without obvious side effects. Taken together, these results suggest that selenium nanoparticles can be used as an effective gene vector with good biocompatibility, and RGDfC-Se@siDCBLD2 provides a promising strategy for combining tumor-target and siRNA delivery in treating CRC.
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Affiliation(s)
- Hongli Huang
- Department of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China
- Guangzhou Key Laboratory of Digestive Diseases, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, 510180, China
| | - Hanqing Chen
- Department of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China
- Guangzhou Key Laboratory of Digestive Diseases, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, 510180, China
| | - Diwen Shou
- Department of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China
- Guangzhou Key Laboratory of Digestive Diseases, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, 510180, China
| | - Ying Quan
- Department of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China
- Guangzhou Key Laboratory of Digestive Diseases, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, 510180, China
| | - Jiemin Cheng
- Department of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China
- Guangzhou Key Laboratory of Digestive Diseases, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, 510180, China
| | - Huiting Chen
- Department of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China
- Guangzhou Key Laboratory of Digestive Diseases, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, 510180, China
| | - Gang Ning
- Department of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China
- Guangzhou Key Laboratory of Digestive Diseases, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, 510180, China
| | - Yongqiang Li
- Department of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China
- Guangzhou Key Laboratory of Digestive Diseases, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, 510180, China
| | - Yu Xia
- Department of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
- Guangzhou Key Laboratory of Digestive Diseases, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, 510180, China.
| | - Yongjian Zhou
- Department of Gastroenterology and Hepatology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
- Guangzhou Key Laboratory of Digestive Diseases, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou, 510180, China.
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The NXDC-MEN-301 Study on 5-ALA for Meningiomas Surgery: An Innovative Study Design for the Assessing the Benefit of Intra-Operative Fluorescence Imaging. Brain Sci 2022; 12:brainsci12081044. [PMID: 36009108 PMCID: PMC9405714 DOI: 10.3390/brainsci12081044] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/03/2022] [Accepted: 08/03/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND 5-aminolevulinic acid (5-ALA; GleolanTM, NX Development Corps., Lexington, USA) is approved for fluorescence-guided resections of suspected malignant gliomas. Experience has demonstrated that meningiomas also show fluorescence, which may be a useful surgical adjunct. We present an innovative design for a multi-center, prospective study to determine the clinical safety and potential benefit of fluorescence-guided resection of meningiomas with utmost bias reduction. METHODS All patients with suspected meningioma (all grades) receive GleolanTM 20 mg/kg 2-4 h prior to surgery supported by fluorescence excitation from a blue light source (Blue400, Zeiss Meditech, Oberkochen, Germany; FL400, Leica Microsystems, Heerbrugg, Switzerland). Surgeons are asked whether a residual tumor can be observed to fluoresce under blue light (BL) after the tumor is no longer recognizable using conventional illumination at the end of surgery. In addition, when faced with tissues of uncertain tissue type (so-called "indeterminate" tissue), this study records how often surgeons make a correct decision based on fluorescence and how this influences surgical strategy. The primary endpoint is the percentage of patients in whom one of these two benefits are observed. Other endpoints include the diagnostic accuracy of fluorescence compared to white light (WL) versus correlative histology. For bias reduction, pertinent data are derived from surgical videos reviewed by independent reviewers blinded to surgeons' assessments of tissue type and fluorescence status. Data will be included from approximately 100 study participants completing the study at approximately 15 centers in the United States, Germany, and Austria. RESULTS As of May 2022, 88 patients have completed the study. No adverse safety signal has been detected. CONCLUSIONS Preliminary data confirm the feasibility of our study design. Accrual is targeted for completion in the third quarter of 2022.
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