Intraoperative detection of human meningioma using a handheld visible resonance Raman analyzer

Zhang, Liang; Zhou, Yan; Wu, Binlin; Zhang, Shengjia; Zhu, Ke; Liu, Chenghui; Yu, Xinguang; Alfano, R. R.

doi:10.1007/s10103-021-03390-2

Cited by 14 publications

(14 citation statements)

References 30 publications

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“…The ratio of RR peaks of protein (and collagen) to fatty acid (I 2934 /I 2885 ) also increased with the increase in glioma grade. These RR characteristics reveal the importance of the changes in the lipid and protein metabolism in the tumor cells and tissues, which is consistent with our previous reports [ 26 , 45 , 46 , 47 ].…”

Section: Discussionsupporting

confidence: 93%

“…We observed that Raman peaks due to carotenoids, proteins, and lipids from the margin tissues were different from those in the tumor tissues. Similar Raman spectral changes were also observed in skin, breast, and heart tissue in our previous studies [ 26 , 34 , 40 , 41 , 45 , 46 , 47 ].…”

Section: Discussionsupporting

confidence: 88%

“…We have developed a novel optical spectroscopic technique based on visible resonance Raman (VRR) spectroscopy that can probe the specific molecular vibration bonds in a tissue and provide information to make an optical pathology diagnosis. This new optical biopsy technique using 532 nm wavelength excitation has been used for the investigation and diagnosis of human lesions since 2011 and has shown unique advantages [ 26 , 34 , 40 , 41 , 45 , 46 , 47 ]. Besides the existing advantages of conventional spontaneous Raman (SR), near-infrared Raman (NIR), and ultraviolet resonance Raman (UVRR) methods, VRR has additional advantages over other Raman techniques [ 48 ].…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, some research groups have begun to use 532 nm as a light source for Raman for basic research in biomedicine, such as surface-enhanced Raman spectroscopy (SERS), using targeted label methods [ 49 , 50 , 51 ]. Based on our previous studies, we have developed a new portable VRR-LRR TM Raman analyzer (LRR2000) with a handheld optical-fiber probe that shows comparable diagnostic ability for glioma in mice in vivo and for human brains ex vivo [ 47 , 52 , 53 ]. In this manuscript, we report the evaluation of the VRR-LRR TM analyzer in identifying human glioma grades and margins under quasi-clinical conditions.…”

Section: Introductionmentioning

confidence: 99%

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A Handheld Visible Resonance Raman Analyzer Used in Intraoperative Detection of Human Glioma

Zhang

Zhou

et al. 2023

Cancers

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There is still a lack of reliable intraoperative tools for glioma diagnosis and to guide the maximal safe resection of glioma. We report continuing work on the optical biopsy method to detect glioma grades and assess glioma boundaries intraoperatively using the VRR-LRRTM Raman analyzer, which is based on the visible resonance Raman spectroscopy (VRR) technique. A total of 2220 VRR spectra were collected during surgeries from 63 unprocessed fresh glioma tissues using the VRR-LRRTM Raman analyzer. After the VRR spectral analysis, we found differences in the native molecules in the fingerprint region and in the high-wavenumber region, and differences between normal (control) and different grades of glioma tissues. A principal component analysis–support vector machine (PCA-SVM) machine learning method was used to distinguish glioma tissues from normal tissues and different glioma grades. The accuracy in identifying glioma from normal tissue was over 80%, compared with the gold standard of histopathology reports of glioma. The VRR-LRRTM Raman analyzer may be a new label-free, real-time optical molecular pathology tool aiding in the intraoperative detection of glioma and identification of tumor boundaries, thus helping to guide maximal safe glioma removal and adjacent healthy tissue preservation.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Handheld Visible Resonance Raman Analyzer Used in Intraoperative Detection of Human Glioma

Zhang

Zhou

et al. 2023

Cancers

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“…Optical microscopy has been successfully applied to gastric cancer ( 8 ), colorectal cancer ( 9 ), human meningioma ( 10 , 11 ), liver cancer ( 12 ), lung cancer ( 13 ), and other diseases. There have been a large number of studies on cervical cancer ( 14 ), ovarian cancer ( 15 ), endometrial carcinoma ( 16 ), and reproduction ( 17 ) in obstetrics and gynecology.…”

Section: Introductionmentioning

confidence: 99%

Novel exploration of Raman microscopy and non-linear optical imaging in adenomyosis

Shen

He²,

Shen³

et al. 2022

Front. Med.

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BackgroundAdenomyosis is a common gynecological disease in women. A relevant literature search found that approximately 82% of patients with adenomyosis chose to undergo hysterectomy. However, women of childbearing age are more likely to undergo surgery to preserve the uterus. Because it is difficult to determine the extent of adenomyosis, it is almost impossible to resect adenomyotic tissue and retain the uterus at the same time.Materials and methodsFollowing ethics approval and patient consent, tissue samples were resected and prepared to create frozen slices for analysis. One slice was subjected to H&E staining while the remaining slices were photographed with Coherent Anti-Stokes Raman Scattering (CARS), Second-Harmonic Generation (SHG) microscopy, and Raman spectroscopy. Comparative observations and analyses at the same positions were carried out to explore the diagnostic ability of CARS, SHG, and Raman spectroscopy for adenomyosis.ResultsIn adenomyotic tissue, we found two characteristic peaks at 1,155 and 1,519 cm–1 in the Raman spectrum, which were significantly different from normal tissue. The substances shown in the CARS spectrum were represented by peaks of 1,519 cm–1. SHG microscopy showed a distribution of collagen at the focus of the adenomyosis.ConclusionThis study represents a novel analysis of Raman microscopy, CARS, and SHG in the analysis of adenomyotic lesions. We found the diffraction spectrum useful in determining the focal boundary and the diagnosis of adenomyosis in the tested samples.

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Stimulated Raman histology in the neurosurgical workflow of a major European neurosurgical center — part A

et al. 2021

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Histopathological diagnosis is the current standard for the classification of brain and spine tumors. Raman spectroscopy has been reported to allow fast and easy intraoperative tissue analysis. Here, we report data on the intraoperative implementation of a stimulated Raman histology (SRH) as an innovative strategy offering intraoperative near real-time histopathological analysis. A total of 429 SRH images from 108 patients were generated and analyzed by using a Raman imaging system (Invenio Imaging Inc.). We aimed at establishing a dedicated workflow for SRH serving as an intraoperative diagnostic, research, and quality control tool in the neurosurgical operating room (OR). First experiences with this novel imaging modality were reported and analyzed suggesting process optimization regarding tissue collection, preparation, and imaging. The Raman imaging system was rapidly integrated into the surgical workflow of a large neurosurgical center. Within a few minutes of connecting the device, the first high-quality images could be acquired in a “plug-and-play” manner. We did not encounter relevant obstacles and the learning curve was steep. However, certain prerequisites regarding quality and acquisition of tissue samples, data processing and interpretation, and high throughput adaptions must be considered. Intraoperative SRH can easily be integrated into the workflow of neurosurgical tumor resection. Considering few process optimizations that can be implemented rapidly, high-quality images can be obtained near real time. Hence, we propose SRH as a complementary tool for the diagnosis of tumor entity, analysis of tumor infiltration zones, online quality and safety control and as a research tool in the neurosurgical OR.

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Intraoperative detection of human meningioma using a handheld visible resonance Raman analyzer

Cited by 14 publications

References 30 publications

A Handheld Visible Resonance Raman Analyzer Used in Intraoperative Detection of Human Glioma

A Handheld Visible Resonance Raman Analyzer Used in Intraoperative Detection of Human Glioma

Novel exploration of Raman microscopy and non-linear optical imaging in adenomyosis

Stimulated Raman histology in the neurosurgical workflow of a major European neurosurgical center — part A

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