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Raghunathan R, Vasquez M, Zhang K, Zhao H, Wong STC. Label-free optical imaging for brain cancer assessment. Trends Cancer 2024; 10:557-570. [PMID: 38575412 PMCID: PMC11168891 DOI: 10.1016/j.trecan.2024.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 03/12/2024] [Accepted: 03/13/2024] [Indexed: 04/06/2024]
Abstract
Advances in label-free optical imaging offer a promising avenue for brain cancer assessment, providing high-resolution, real-time insights without the need for radiation or exogeneous agents. These cost-effective and intricately detailed techniques overcome the limitations inherent in magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) scans by offering superior resolution and more readily accessible imaging options. This comprehensive review explores a variety of such methods, including photoacoustic imaging (PAI), optical coherence tomography (OCT), Raman imaging, and IR microscopy. It focuses on their roles in the detection, diagnosis, and management of brain tumors. By highlighting recent advances in these imaging techniques, the review aims to underscore the importance of label-free optical imaging in enhancing early detection and refining therapeutic strategies for brain cancer.
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Affiliation(s)
- Raksha Raghunathan
- Department of Systems Medicine and Bioengineering and T.T. and W.F. Chao Center for BRAIN, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA; Advanced Cellular and Tissue Microscopy Core, Houston Methodist Neal Cancer Center and Houston Methodist Research Institute, Houston, TX 77030, USA
| | - Matthew Vasquez
- Department of Systems Medicine and Bioengineering and T.T. and W.F. Chao Center for BRAIN, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA; Advanced Cellular and Tissue Microscopy Core, Houston Methodist Neal Cancer Center and Houston Methodist Research Institute, Houston, TX 77030, USA
| | - Katherine Zhang
- Department of Systems Medicine and Bioengineering and T.T. and W.F. Chao Center for BRAIN, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA; Advanced Cellular and Tissue Microscopy Core, Houston Methodist Neal Cancer Center and Houston Methodist Research Institute, Houston, TX 77030, USA
| | - Hong Zhao
- Department of Systems Medicine and Bioengineering and T.T. and W.F. Chao Center for BRAIN, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA; Advanced Cellular and Tissue Microscopy Core, Houston Methodist Neal Cancer Center and Houston Methodist Research Institute, Houston, TX 77030, USA; Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA.
| | - Stephen T C Wong
- Department of Systems Medicine and Bioengineering and T.T. and W.F. Chao Center for BRAIN, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA; Advanced Cellular and Tissue Microscopy Core, Houston Methodist Neal Cancer Center and Houston Methodist Research Institute, Houston, TX 77030, USA; Departments of Radiology, Pathology, and Laboratory Medicine and Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10065, USA
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Buist G, Debiasi M, Amelink A, de Boer JF. Theoretical and experimental determination of the confocal function of OCT systems for accurate calculation of sample optical properties. BIOMEDICAL OPTICS EXPRESS 2024; 15:2937-2957. [PMID: 38855667 PMCID: PMC11161342 DOI: 10.1364/boe.516229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 03/25/2024] [Accepted: 03/30/2024] [Indexed: 06/11/2024]
Abstract
The attenuation coefficient of biological tissue could serve as an indicator of structural and functional changes related to the onset or progression of disease. Optical coherence tomography (OCT) provides cross sectional images of tissue up to a depth of a few millimeters, based on the local backscatter properties. The OCT intensity also depends on the confocal function, which needs to be characterised to determine correctly the exponential decay of the intensity based on Lambert-Beer. We present a model for the confocal function in scattering media based on the illumination with a Gaussian beam and the power transfer into a single mode fibre (SMF) of the backscattered light for an incoherently back scattered Gaussian beam using the Huygens-Fresnel principle and compare that model with the reflection from a mirror. We find that, contrary to previous literature, the confocal functions characterised by the Rayleigh range in the two models are identical. Extensive OCT focus series measurements on a mirror, Spectralon and Intralipid dilutions confirm our model, and show that for highly scattering samples the confocal function characterised by the Rayleigh range becomes depth dependent. From the diluted Intralipid measurements the attenuation coefficients are extracted using a singly scatter model that includes the previously established confocal function. The extracted attenuation coefficients were in good agreement for weakly scattering samples (μ s < 2 mm-1).
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Affiliation(s)
- Gijs Buist
- LaserLaB, Department of Physics and Astronomy, Vrije Universiteit, Amsterdam, The Netherlands
| | - Maddalena Debiasi
- LaserLaB, Department of Physics and Astronomy, Vrije Universiteit, Amsterdam, The Netherlands
| | - Arjen Amelink
- LaserLaB, Department of Physics and Astronomy, Vrije Universiteit, Amsterdam, The Netherlands
- Department of Optics, Netherlands Organisation for Applied Scientific Research, TNO, Delft, The Netherlands
| | - Johannes F. de Boer
- LaserLaB, Department of Physics and Astronomy, Vrije Universiteit, Amsterdam, The Netherlands
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Li K, Wu Q, Feng S, Zhao H, Jin W, Qiu H, Gu Y, Chen D. In situ detection of human glioma based on tissue optical properties using diffuse reflectance spectroscopy. JOURNAL OF BIOPHOTONICS 2023; 16:e202300195. [PMID: 37589177 DOI: 10.1002/jbio.202300195] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 07/18/2023] [Accepted: 08/15/2023] [Indexed: 08/18/2023]
Abstract
Safely maximizing brain cancer removal without injuring adjacent healthy tissue is crucial for optimal treatment outcomes. However, it is challenging to distinguish cancer from noncancer intraoperatively. This study aimed to explore the feasibility of diffuse reflectance spectroscopy (DRS) as a label-free and real-time detection technology for discrimination between brain cancer and noncancer tissues. Fifty-five fresh cancer and noncancer specimens from 19 brain surgeries were measured with DRS, and the results were compared with co-registered clinical standard histopathology. Tissue optical properties were quantitatively obtained from the diffuse reflectance spectra and compared among different types of brain tissues. A machine learning-based classifier was trained to differentiate cancerous versus noncancerous tissues. Our method could achieve a sensitivity of 93% and specificity of 95% for discriminating high-grade glioma from normal white matter. Our results showed that DRS has the potential to be used for label-free, real-time in vivo cancer detection during brain surgery.
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Affiliation(s)
- Kerui Li
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Qijia Wu
- Department of Neurosurgery, First Medical Center of PLA General Hospital, Beijing, China
| | - Shiyu Feng
- Department of Neurosurgery, First Medical Center of PLA General Hospital, Beijing, China
| | - Hongyou Zhao
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Wei Jin
- Department of Pathology, Chinese PLA General Hospital, Beijing, China
| | - Haixia Qiu
- Department of Laser Medicine, First Medical Center of PLA General Hospital, Beijing, China
| | - Ying Gu
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
- Department of Laser Medicine, First Medical Center of PLA General Hospital, Beijing, China
- Precision Laser Medical Diagnosis and Treatment Innovation Unit, Chinese Academy of Medical Sciences, Beijing, China
| | - Defu Chen
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
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Kübler J, Zoutenbier VS, Buist G, Fischer J, Amelink A, de Boer JF. Confocal corrected attenuation coefficient imaging in phantoms and in vivo using chromatic focal shift calibration. BIOMEDICAL OPTICS EXPRESS 2023; 14:5282-5297. [PMID: 37854560 PMCID: PMC10581799 DOI: 10.1364/boe.498459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 08/25/2023] [Accepted: 09/07/2023] [Indexed: 10/20/2023]
Abstract
Optical coherence tomography (OCT) is conventionally used for structural imaging of tissue. Calibrating the intensity values of OCT images can give information on the tissue's inherent optical properties, such as the attenuation coefficient, which can provide an additional parameter to quantify possible pathological changes. To obtain calibrated intensity values, the focus position and Rayleigh length of the incident beam need to be known. We explore the feasibility of extracting the focus position from an OCT scan acquired with a single focus setting using the chromatic aberration of the system. The chromatic focal shift of an OCT system is exploited to achieve different focus positions for sub-spectrum reconstructed OCT images. The ratios of these images are used to estimate the focus position. Reconstruction of a high-resolution B-scan from coherent addition of sub-spectrum confocal function corrected B-scans and subsequent high-resolution OCT attenuation coefficient imaging is demonstrated. Furthermore, we introduce a method to experimentally determine the chromatic focal shifts of an OCT system in phantoms and an in vivo human retina. These shifts are compared to the theoretically expected shifts calculated with ray tracing.
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Affiliation(s)
- Johannes Kübler
- LaserLaB, Department of Physics and Astronomy, Vrije Universiteit, Amsterdam, The Netherlands
- Heidelberg Engineering GmbH, Heidelberg, Germany
| | - Vincent S. Zoutenbier
- LaserLaB, Department of Physics and Astronomy, Vrije Universiteit, Amsterdam, The Netherlands
- Department of Optics, Netherlands Organization for Applied Scientific Research, TNO, Delft, The Netherlands
| | - Gijs Buist
- LaserLaB, Department of Physics and Astronomy, Vrije Universiteit, Amsterdam, The Netherlands
- Department of Optics, Netherlands Organization for Applied Scientific Research, TNO, Delft, The Netherlands
| | - Jörg Fischer
- Heidelberg Engineering GmbH, Heidelberg, Germany
| | - Arjen Amelink
- LaserLaB, Department of Physics and Astronomy, Vrije Universiteit, Amsterdam, The Netherlands
- Department of Optics, Netherlands Organization for Applied Scientific Research, TNO, Delft, The Netherlands
| | - Johannes F. de Boer
- LaserLaB, Department of Physics and Astronomy, Vrije Universiteit, Amsterdam, The Netherlands
- Department of Ophthalmology, Amsterdam UMC, Amsterdam, The Netherlands
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Cannon TM, Bouma BE, Uribe-Patarroyo N. Mapping optical scattering properties to physical particle information in singly and multiply scattering samples. BIOMEDICAL OPTICS EXPRESS 2023; 14:4326-4348. [PMID: 37799686 PMCID: PMC10549752 DOI: 10.1364/boe.494518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 07/10/2023] [Accepted: 07/19/2023] [Indexed: 10/07/2023]
Abstract
Optical coherence tomography (OCT) leverages light scattering by biological tissues as endogenous contrast to form structural images. Light scattering behavior is dictated by the optical properties of the tissue, which depend on microstructural details at the cellular or sub-cellular level. Methods to measure these properties from OCT intensity data have been explored in the context of a number of biomedical applications seeking to access this sub-resolution tissue microstructure and thereby increase the diagnostic impact of OCT. Most commonly, the optical attenuation coefficient, an analogue of the scattering coefficient, has been used as a surrogate metric linking OCT intensity to subcellular particle characteristics. To record attenuation coefficient data that is accurately representative of the underlying physical properties of a given sample, it is necessary to account for the impact of the OCT imaging system itself on the distribution of light intensity in the sample, including the numerical aperture (NA) of the system and the location of the focal plane with respect to the sample surface, as well as the potential contribution of multiple scattering to the reconstructed intensity signal. Although these considerations complicate attenuation coefficient measurement and interpretation, a suitably calibrated system may potentiate a powerful strategy for gaining additional information about the scattering behavior and microstructure of samples. In this work, we experimentally show that altering the OCT system geometry minimally impacts measured attenuation coefficients in samples presumed to be singly scattering, but changes these measurements in more highly scattering samples. Using both depth-resolved attenuation coefficient data and layer-resolved backscattering coefficients, we demonstrate the retrieval of scattering particle diameter and concentration in tissue-mimicking phantoms, and the impact of presumed multiple scattering on these calculations. We further extend our approach to characterize a murine brain tissue sample and highlight a tumor-bearing region based on increased scattering particle density. Through these methods, we not only enhance conventional OCT attenuation coefficient analysis by decoupling the independent effects of particle size and concentration, but also discriminate areas of strong multiple scattering through minor changes to system topology to provide a framework for assessing the accuracy of these measurements.
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Affiliation(s)
- Taylor M. Cannon
- Massachusetts Institute of Technology, Institute of Medical Engineering and Science, 70 Massachusetts Avenue, Cambridge, MA 02141, USA
- Wellman Center for Photomedicine, Massachusetts General Hospital, 40 Blossom St, Boston, MA 02114, USA
| | - Brett E. Bouma
- Massachusetts Institute of Technology, Institute of Medical Engineering and Science, 70 Massachusetts Avenue, Cambridge, MA 02141, USA
- Wellman Center for Photomedicine, Massachusetts General Hospital, 40 Blossom St, Boston, MA 02114, USA
| | - Néstor Uribe-Patarroyo
- Wellman Center for Photomedicine, Massachusetts General Hospital, 40 Blossom St, Boston, MA 02114, USA
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Soloukey S, Vincent AJPE, Smits M, De Zeeuw CI, Koekkoek SKE, Dirven CMF, Kruizinga P. Functional imaging of the exposed brain. Front Neurosci 2023; 17:1087912. [PMID: 36845427 PMCID: PMC9947297 DOI: 10.3389/fnins.2023.1087912] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 01/19/2023] [Indexed: 02/11/2023] Open
Abstract
When the brain is exposed, such as after a craniotomy in neurosurgical procedures, we are provided with the unique opportunity for real-time imaging of brain functionality. Real-time functional maps of the exposed brain are vital to ensuring safe and effective navigation during these neurosurgical procedures. However, current neurosurgical practice has yet to fully harness this potential as it pre-dominantly relies on inherently limited techniques such as electrical stimulation to provide functional feedback to guide surgical decision-making. A wealth of especially experimental imaging techniques show unique potential to improve intra-operative decision-making and neurosurgical safety, and as an added bonus, improve our fundamental neuroscientific understanding of human brain function. In this review we compare and contrast close to twenty candidate imaging techniques based on their underlying biological substrate, technical characteristics and ability to meet clinical constraints such as compatibility with surgical workflow. Our review gives insight into the interplay between technical parameters such sampling method, data rate and a technique's real-time imaging potential in the operating room. By the end of the review, the reader will understand why new, real-time volumetric imaging techniques such as functional Ultrasound (fUS) and functional Photoacoustic Computed Tomography (fPACT) hold great clinical potential for procedures in especially highly eloquent areas, despite the higher data rates involved. Finally, we will highlight the neuroscientific perspective on the exposed brain. While different neurosurgical procedures ask for different functional maps to navigate surgical territories, neuroscience potentially benefits from all these maps. In the surgical context we can uniquely combine healthy volunteer studies, lesion studies and even reversible lesion studies in in the same individual. Ultimately, individual cases will build a greater understanding of human brain function in general, which in turn will improve neurosurgeons' future navigational efforts.
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Affiliation(s)
- Sadaf Soloukey
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands,Department of Neurosurgery, Erasmus MC, Rotterdam, Netherlands
| | | | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands
| | - Chris I. De Zeeuw
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands,Netherlands Institute for Neuroscience, Royal Dutch Academy for Arts and Sciences, Amsterdam, Netherlands
| | | | | | - Pieter Kruizinga
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands,*Correspondence: Pieter Kruizinga,
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Achkasova KA, Moiseev AA, Yashin KS, Kiseleva EB, Bederina EL, Loginova MM, Medyanik IA, Gelikonov GV, Zagaynova EV, Gladkova ND. Nondestructive label-free detection of peritumoral white matter damage using cross-polarization optical coherence tomography. Front Oncol 2023; 13:1133074. [PMID: 36937429 PMCID: PMC10017731 DOI: 10.3389/fonc.2023.1133074] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 01/27/2023] [Indexed: 03/06/2023] Open
Abstract
Introduction To improve the quality of brain tumor resections, it is important to differentiate zones with myelinated fibers destruction from tumor tissue and normal white matter. Optical coherence tomography (OCT) is a promising tool for brain tissue visualization and in the present study, we demonstrate the ability of cross-polarization (CP) OCT to detect damaged white matter and differentiate it from normal and tumor tissues. Materials and methods The study was performed on 215 samples of brain tissue obtained from 57 patients with brain tumors. The analysis of the obtained OCT data included three stages: 1) visual analysis of structural OCT images; 2) quantitative assessment based on attenuation coefficients estimation in co- and cross-polarizations; 3) building of color-coded maps with subsequent visual analysis. The defining characteristics of structural CP OCT images and color-coded maps were determined for each studied tissue type, and then two classification tests were passed by 8 blinded respondents after a training. Results Visual assessment of structural CP OCT images allows detecting white matter areas with damaged myelinated fibers and differentiate them from normal white matter and tumor tissue. Attenuation coefficients also allow distinguishing all studied brain tissue types, while it was found that damage to myelinated fibers leads to a statistically significant decrease in the values of attenuation coefficients compared to normal white matter. Nevertheless, the use of color-coded optical maps looks more promising as it combines the objectivity of optical coefficient and clarity of the visual assessment, which leads to the increase of the diagnostic accuracy of the method compared to visual analysis of structural OCT images. Conclusions Alteration of myelinated fibers causes changes in the scattering properties of the white matter, which gets reflected in the nature of the received CP OCT signal. Visual assessment of structural CP OCT images and color-coded maps allows differentiating studied tissue types from each other, while usage of color-coded maps demonstrates higher diagnostic accuracy values in comparison with structural images (F-score = 0.85-0.86 and 0.81, respectively). Thus, the results of the study confirm the potential of using OCT as a neuronavigation tool during resections of brain tumors.
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Affiliation(s)
- Ksenia A. Achkasova
- Research institute of experimental oncology and biomedical technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- *Correspondence: Ksenia A. Achkasova,
| | - Alexander A. Moiseev
- Laboratory of Highly Sensitive Optical Measurements, Institute of Applied Physics of Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Konstantin S. Yashin
- Department of oncology and neurosurgery, University clinic, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Elena B. Kiseleva
- Research institute of experimental oncology and biomedical technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Evgenia L. Bederina
- Department of pathology, University clinic, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Maria M. Loginova
- Research institute of experimental oncology and biomedical technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Igor A. Medyanik
- Department of oncology and neurosurgery, University clinic, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Grigory V. Gelikonov
- Laboratory of Highly Sensitive Optical Measurements, Institute of Applied Physics of Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Elena V. Zagaynova
- Research institute of experimental oncology and biomedical technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Lobachevsky State University, Nizhny Novgorod, Russia
| | - Natalia D. Gladkova
- Research institute of experimental oncology and biomedical technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
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Kuppler P, Strenge P, Lange B, Spahr-Hess S, Draxinger W, Hagel C, Theisen-Kunde D, Brinkmann R, Huber R, Tronnier V, Bonsanto MM. The neurosurgical benefit of contactless in vivo optical coherence tomography regarding residual tumor detection: A clinical study. Front Oncol 2023; 13:1151149. [PMID: 37139150 PMCID: PMC10150702 DOI: 10.3389/fonc.2023.1151149] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 03/13/2023] [Indexed: 05/05/2023] Open
Abstract
Purpose In brain tumor surgery, it is crucial to achieve complete tumor resection while conserving adjacent noncancerous brain tissue. Several groups have demonstrated that optical coherence tomography (OCT) has the potential of identifying tumorous brain tissue. However, there is little evidence on human in vivo application of this technology, especially regarding applicability and accuracy of residual tumor detection (RTD). In this study, we execute a systematic analysis of a microscope integrated OCT-system for this purpose. Experimental design Multiple 3-dimensional in vivo OCT-scans were taken at protocol-defined sites at the resection edge in 21 brain tumor patients. The system was evaluated for its intraoperative applicability. Tissue biopsies were obtained at these locations, labeled by a neuropathologist and used as ground truth for further analysis. OCT-scans were visually assessed with a qualitative classifier, optical OCT-properties were obtained and two artificial intelligence (AI)-assisted methods were used for automated scan classification. All approaches were investigated for accuracy of RTD and compared to common techniques. Results Visual OCT-scan classification correlated well with histopathological findings. Classification with measured OCT image-properties achieved a balanced accuracy of 85%. A neuronal network approach for scan feature recognition achieved 82% and an auto-encoder approach 85% balanced accuracy. Overall applicability showed need for improvement. Conclusion Contactless in vivo OCT scanning has shown to achieve high values of accuracy for RTD, supporting what has well been described for ex vivo OCT brain tumor scanning, complementing current intraoperative techniques and even exceeding them in accuracy, while not yet in applicability.
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Affiliation(s)
- Patrick Kuppler
- Department of Neurosurgery, University Medical Center Schleswig-Holstein, Luebeck, Germany
- *Correspondence: Patrick Kuppler,
| | | | | | - Sonja Spahr-Hess
- Department of Neurosurgery, University Medical Center Schleswig-Holstein, Luebeck, Germany
| | | | - Christian Hagel
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Ralf Brinkmann
- Medical Laser Center Luebeck, Luebeck, Germany
- Institute of Biomedical Optics, University of Luebeck, Luebeck, Germany
| | - Robert Huber
- Institute of Biomedical Optics, University of Luebeck, Luebeck, Germany
| | - Volker Tronnier
- Department of Neurosurgery, University Medical Center Schleswig-Holstein, Luebeck, Germany
| | - Matteo Mario Bonsanto
- Department of Neurosurgery, University Medical Center Schleswig-Holstein, Luebeck, Germany
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Li Q, Shen J, Zhou Y. Diagnosis of Glioma Using Raman Spectroscopy and the Entropy Weight Fuzzy-Rough Nearest Neighbor (EFRNN) Algorithm on Fresh Tissue. ANAL LETT 2022. [DOI: 10.1080/00032719.2022.2107660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Qingbo Li
- School of Instrumentation and Optoelectronic Engineering, Precision Opto-Mechatronics Technology Key Laboratory of Education Ministry, Beihang University, Beijing, China
| | - Jiaqi Shen
- School of Instrumentation and Optoelectronic Engineering, Precision Opto-Mechatronics Technology Key Laboratory of Education Ministry, Beihang University, Beijing, China
| | - Yan Zhou
- Department of Neurosurgery, PLA Air Force Medical Center, Beijing, China
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Yuzhakova D, Kiseleva E, Shirmanova M, Shcheslavskiy V, Sachkova D, Snopova L, Bederina E, Lukina M, Dudenkova V, Yusubalieva G, Belovezhets T, Matvienko D, Baklaushev V. Highly Invasive Fluorescent/Bioluminescent Patient-Derived Orthotopic Model of Glioblastoma in Mice. Front Oncol 2022; 12:897839. [PMID: 35912166 PMCID: PMC9326400 DOI: 10.3389/fonc.2022.897839] [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: 03/16/2022] [Accepted: 06/16/2022] [Indexed: 11/13/2022] Open
Abstract
Development of the novel diagnostic and therapeutic approaches in neuro-oncology requires tumor models that closely reproduce the biological features of patients’ tumors. Patient-derived xenografts (PDXs) are recognized as a valuable and the most “close-to-patient” tool for preclinical studies. However, their establishment is complicated by the factors related to both the surgical material and technique of the orthotopic implantation. The aim of this work was to develop a patient-derived glioblastoma multiform (GBM) model that stably co-expresses luciferase and a far-red fluorescent protein for monitoring of tumor progression in the brain and, using this model, to validate new diagnostic methods—macroscopic fluorescence lifetime imaging (macro-FLIM) and cross-polarization optical coherence tomography (CP OCT). The established model was similar to the original patient’s GBM in terms of histological and immunohistochemical features and possessed reproducible growth in nude mice, which could be observed by both fluorescence and bioluminescence imaging. Our results demonstrated the high potential of macro-FLIM and CP OCT for intraoperative differentiation of GBM from the white matter. Thus, the dual-labeled PDX model of GBM proved to be an excellent approach for observation of tumor development by optical methods.
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Affiliation(s)
- Diana Yuzhakova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- *Correspondence: Diana Yuzhakova, ; Vladislav Shcheslavskiy,
| | - Elena Kiseleva
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Marina Shirmanova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Vladislav Shcheslavskiy
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- R&D Department, Becker&Hickl GmbH, Berlin, Germany
- *Correspondence: Diana Yuzhakova, ; Vladislav Shcheslavskiy,
| | - Daria Sachkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Institute of Biology and Biomedicine, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - Ludmila Snopova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Evgeniya Bederina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Maria Lukina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Laboratory of Molecular Oncology, Federal Research and Clinical Center of Physical and Chemical Medicine, Moscow, Russia
| | - Varvara Dudenkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Gaukhar Yusubalieva
- Biomedical Research Center, Federal Research and Clinical Center, Federal Medical and Biological Agency, Moscow, Russia
- Laboratory of Molecular Mechanisms of Regeneration and Aging, Engelhardt Institute of Molecular Biology, Moscow, Russia
| | - Tatyana Belovezhets
- Department of Molecular Immunology, Institute of Molecular and Cellular Biology SB RAS, Novosibirsk, Russia
| | - Daria Matvienko
- Department of Molecular Immunology, Institute of Molecular and Cellular Biology SB RAS, Novosibirsk, Russia
| | - Vladimir Baklaushev
- Biomedical Research Center, Federal Research and Clinical Center, Federal Medical and Biological Agency, Moscow, Russia
- Laboratory of Molecular Mechanisms of Regeneration and Aging, Engelhardt Institute of Molecular Biology, Moscow, Russia
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11
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Moiseev AA, Achkasova KA, Kiseleva EB, Yashin KS, Potapov AL, Bederina EL, Kuznetsov SS, Sherstnev EP, Shabanov DV, Gelikonov GV, Ostrovskaya YV, Gladkova ND. Brain white matter morphological structure correlation with its optical properties estimated from optical coherence tomography (OCT) data. BIOMEDICAL OPTICS EXPRESS 2022; 13:2393-2413. [PMID: 35519266 PMCID: PMC9045907 DOI: 10.1364/boe.457467] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 03/07/2022] [Indexed: 05/11/2023]
Abstract
A pilot post-mortem study identifies a strong correlation between the attenuation coefficient estimated from the OCT data and some morphological features of the sample, namely the number of nuclei in the field of view of the histological image and the fiber structural parameter introduced in the study to quantify the difference in the myelinated fibers arrangements. The morphological features were identified from the histopathological images of the sample taken from the same locations as the OCT images and stained with the immunohistochemical (IHC) staining specific to the myelin. It was shown that the linear regression of the IHC quantitative characteristics allows adequate prediction of the attenuation coefficient of the sample. This discovery opens the opportunity for the usage of the OCT as a neuronavigation tool.
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Affiliation(s)
- Alexander A. Moiseev
- Institute of Applied Physics Russian Academy of Sciences, 603155, 46, Ulyanova str., Nizhny Novgorod, Russia
| | - Ksenia A. Achkasova
- Privolzhsky Research Medical University, 603950, 10/1, Minin and Pozharsky sq., Nizhny Novgorod, Russia
| | - Elena B. Kiseleva
- Privolzhsky Research Medical University, 603950, 10/1, Minin and Pozharsky sq., Nizhny Novgorod, Russia
| | - Konstantin S. Yashin
- Privolzhsky Research Medical University, 603950, 10/1, Minin and Pozharsky sq., Nizhny Novgorod, Russia
| | - Arseniy L. Potapov
- Privolzhsky Research Medical University, 603950, 10/1, Minin and Pozharsky sq., Nizhny Novgorod, Russia
| | - Evgenia L. Bederina
- Privolzhsky Research Medical University, 603950, 10/1, Minin and Pozharsky sq., Nizhny Novgorod, Russia
| | - Sergey S. Kuznetsov
- N.A. Semashko Nizhny Novgorod Regional Clinical Hospital, 603093, 190, Rodionova str., Nizhny Novgorod, Russia
| | - Evgeny P. Sherstnev
- Institute of Applied Physics Russian Academy of Sciences, 603155, 46, Ulyanova str., Nizhny Novgorod, Russia
| | - Dmitry V. Shabanov
- Institute of Applied Physics Russian Academy of Sciences, 603155, 46, Ulyanova str., Nizhny Novgorod, Russia
| | - Grigory V. Gelikonov
- Institute of Applied Physics Russian Academy of Sciences, 603155, 46, Ulyanova str., Nizhny Novgorod, Russia
| | | | - Natalia D. Gladkova
- Privolzhsky Research Medical University, 603950, 10/1, Minin and Pozharsky sq., Nizhny Novgorod, Russia
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12
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Lan W, Zhang H, Yang B. Preliminary Study on the Therapeutic Effect of Doxorubicin-Loaded Targeting Nanoparticles on Glioma. Appl Bionics Biomech 2022; 2022:6405400. [PMID: 35386209 PMCID: PMC8979730 DOI: 10.1155/2022/6405400] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 01/05/2022] [Accepted: 01/10/2022] [Indexed: 11/27/2022] Open
Abstract
Doxorubicin (DOX) is an anthracycline anticancer drug, which is often associated with drug resistance and cytotoxicity. More unfortunately, the biological barrier in the human environment can weaken the efficacy of DOX, such as the blood-brain barrier (BBB). This work attempts to make efforts to solve this problem. We used polyethylene glycol distearoylphosphatidylethanolamine (PEG-DSPE) as a nanocarrier and DOX as a model drug to construct a composite nanodrug (TF-PEG-DSPE/DOX NPs) by coupling transferrin (TF). The results of glioma experiments show that the nanodrug can effectively penetrate BBB to achieve an antitumor effect.
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Affiliation(s)
- Weitu Lan
- Department of Neurosurgery, Cangzhou People's Hospital, Cangzhou, 061000 Hebei, China
| | - Hongguang Zhang
- Department of Neurosurgery, Gaotang People's Hospital, Liaocheng, 252800 Shandong, China
| | - Bo Yang
- Department of Neurosurgery, Zibo Central Hospital, Zibo, 255000 Shandong, China
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13
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OCT-Guided Surgery for Gliomas: Current Concept and Future Perspectives. Diagnostics (Basel) 2022; 12:diagnostics12020335. [PMID: 35204427 PMCID: PMC8871129 DOI: 10.3390/diagnostics12020335] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/19/2022] [Accepted: 01/26/2022] [Indexed: 02/01/2023] Open
Abstract
Optical coherence tomography (OCT) has been recently suggested as a promising method to obtain in vivo and real-time high-resolution images of tissue structure in brain tumor surgery. This review focuses on the basics of OCT imaging, types of OCT images and currently suggested OCT scanner devices and the results of their application in neurosurgery. OCT can assist in achieving intraoperative precision identification of tumor infiltration within surrounding brain parenchyma by using qualitative or quantitative OCT image analysis of scanned tissue. OCT is able to identify tumorous tissue and blood vessels detection during stereotactic biopsy procedures. The combination of OCT with traditional imaging such as MRI, ultrasound and 5-ALA fluorescence has the potential to increase the safety and accuracy of the resection. OCT can improve the extent of resection by offering the direct visualization of tumor with cellular resolution when using microscopic OCT contact probes. The theranostic implementation of OCT as a part of intelligent optical diagnosis and automated lesion localization and ablation could achieve high precision, automation and intelligence in brain tumor surgery. We present this review for the increase of knowledge and formation of critical opinion in the field of OCT implementation in brain tumor surgery.
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14
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Chang S, Varadarajan D, Yang J, Chen IA, Kura S, Magnain C, Augustinack JC, Fischl B, Greve DN, Boas DA, Wang H. Scalable mapping of myelin and neuron density in the human brain with micrometer resolution. Sci Rep 2022; 12:363. [PMID: 35013441 PMCID: PMC8748995 DOI: 10.1038/s41598-021-04093-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 12/03/2021] [Indexed: 12/23/2022] Open
Abstract
Optical coherence tomography (OCT) is an emerging 3D imaging technique that allows quantification of intrinsic optical properties such as scattering coefficient and back-scattering coefficient, and has proved useful in distinguishing delicate microstructures in the human brain. The origins of scattering in brain tissues are contributed by the myelin content, neuron size and density primarily; however, no quantitative relationships between them have been reported, which hampers the use of OCT in fundamental studies of architectonic areas in the human brain and the pathological evaluations of diseases. Here, we built a generalized linear model based on Mie scattering theory that quantitatively links tissue scattering to myelin content and neuron density in the human brain. We report a strong linear relationship between scattering coefficient and the myelin content that is retained across different regions of the brain. Neuronal cell body turns out to be a secondary contribution to the overall scattering. The optical property of OCT provides a label-free solution for quantifying volumetric myelin content and neuron cells in the human brain.
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Affiliation(s)
- Shuaibin Chang
- Department of Electrical and Computer Engineering, Boston University, 8 St Mary's St, Boston, 02215, USA
| | - Divya Varadarajan
- Department of Radiology, Massachusetts General Hospital, A.A. Martinos Center for Biomedical Imaging, 13th Street, Boston, 02129, USA
| | - Jiarui Yang
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, 02215, USA
| | - Ichun Anderson Chen
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, 02215, USA
| | - Sreekanth Kura
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, 02215, USA
| | - Caroline Magnain
- Department of Radiology, Massachusetts General Hospital, A.A. Martinos Center for Biomedical Imaging, 13th Street, Boston, 02129, USA
| | - Jean C Augustinack
- Department of Radiology, Massachusetts General Hospital, A.A. Martinos Center for Biomedical Imaging, 13th Street, Boston, 02129, USA
| | - Bruce Fischl
- Department of Radiology, Massachusetts General Hospital, A.A. Martinos Center for Biomedical Imaging, 13th Street, Boston, 02129, USA
| | - Douglas N Greve
- Department of Radiology, Massachusetts General Hospital, A.A. Martinos Center for Biomedical Imaging, 13th Street, Boston, 02129, USA
| | - David A Boas
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, 02215, USA
- Department of Electrical and Computer Engineering, Boston University, 8 St Mary's St, Boston, 02215, USA
| | - Hui Wang
- Department of Radiology, Massachusetts General Hospital, A.A. Martinos Center for Biomedical Imaging, 13th Street, Boston, 02129, USA.
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15
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Hsu SPC, Hsiao TY, Pai LC, Sun CW. Differentiation of primary central nervous system lymphoma from glioblastoma using optical coherence tomography based on attention ResNet. NEUROPHOTONICS 2022; 9:015005. [PMID: 35345493 PMCID: PMC8940883 DOI: 10.1117/1.nph.9.1.015005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 02/04/2022] [Indexed: 06/14/2023]
Abstract
Significance: Differentiation of primary central nervous system lymphoma from glioblastoma is clinically crucial to minimize the risk of treatments, but current imaging modalities often misclassify glioblastoma and lymphoma. Therefore, there is a need for methods to achieve high differentiation power intraoperatively. Aim: The aim is to develop and corroborate a method of classifying normal brain tissue, glioblastoma, and lymphoma using optical coherence tomography with deep learning algorithm in an ex vivo experimental design. Approach: We collected tumor specimens from ordinal surgical operations and measured them with optical coherence tomography. An attention ResNet deep learning model was utilized to differentiate glioblastoma and lymphoma from normal brain tissues. Results: Our model demonstrated a robust classification power of detecting tumoral tissues from normal tissues and moderate discrimination between lymphoma and glioblastoma. Moreover, our results showed good consistency with the previous histological findings in the pathological manifestation of lymphoma, and this could be important from the aspect of future clinical practice. Conclusion: We proposed and demonstrated a quantitative approach to distinguish different brain tumor types. Using our method, both neoplasms can be identified and classified with high accuracy. Hopefully, the proposed method can finally assist surgeons with decision-making intraoperatively.
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Affiliation(s)
- Sanford P. C. Hsu
- Taipei Veterans General Hospital, Neurological Institute, Department of Neurosurgery, Taipei, Taiwan
| | - Tien-Yu Hsiao
- National Yang Ming Chiao Tung University, Department of Photonics, College of Electrical and Computer Engineering, Hsinchu, Taiwan
| | - Li-Chieh Pai
- National Yang Ming Chiao Tung University, Department of Photonics, College of Electrical and Computer Engineering, Hsinchu, Taiwan
| | - Chia-Wei Sun
- National Yang Ming Chiao Tung University, Department of Photonics, College of Electrical and Computer Engineering, Hsinchu, Taiwan
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16
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Hartmann K, Stein KP, Neyazi B, Sandalcioglu IE. Theranostic applications of optical coherence tomography in neurosurgery? Neurosurg Rev 2021; 45:421-427. [PMID: 34398385 PMCID: PMC8827310 DOI: 10.1007/s10143-021-01599-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 03/11/2021] [Accepted: 06/27/2021] [Indexed: 12/14/2022]
Abstract
In light of our own experiences, we value the existing literature to critically point out possible “near” future applications of optical coherence tomography (OCT) as an intraoperative neurosurgical guidance tool. “Pub Med”, “Cochrane Library”, “Crossref Metadata Search”, and “IEEE Xplore” databases as well as the search engine “Google Scholar” were screened for “optical coherence tomography + neurosurgery”, “optical coherence tomography + intraoperative imaging + neurosurgery”, and “microscope integrated optical coherence tomography + neurosurgery”. n = 51 articles related to the use of OCT as an imaging technique in the field of neurosurgery or neurosurgical research. n = 7 articles documented the intraoperative use of OCT in patients. n = 4 articles documented the use of microscope-integrated optical coherence tomography as a neurosurgical guidance tool. The Results demonstrate that OCT is the first imaging technique to study microanatomy in vivo. Postoperative analysis of intraoperative scans holds promise to enrich our physiological and pathophysiological understanding of the human brain. No data exists to prove that OCT-guided surgery minimizes perioperative morbidity or extends tumor resection. But results suggest that regular use of microscope-integrated OCT could increase security during certain critical microsurgical steps like, e.g., dural dissection at cavernous sinus, transtentorial approaches, or aneurysm clip placement. Endoscopy integration could aid surgery in regions which are not yet accessible to real-time imaging modalities like the ventricles or hypophysis. Theranostic instruments which combine OCT with laser ablation might gain importance in the emerging field of minimal invasive tumor surgery. OCT depicts vessel wall layers and its pathologies uniquely. Doppler OCT could further visualize blood flow in parallel. These abilities shed light on promising future applications in the field of vascular neurosurgery.
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Affiliation(s)
- Karl Hartmann
- Universitätsklinik Für Neurochirurgie, Otto-Von-Guericke-Universität Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Deutschland.
| | - Klaus-Peter Stein
- Universitätsklinik Für Neurochirurgie, Otto-Von-Guericke-Universität Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Deutschland
| | - Belal Neyazi
- Universitätsklinik Für Neurochirurgie, Otto-Von-Guericke-Universität Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Deutschland
| | - I Erol Sandalcioglu
- Universitätsklinik Für Neurochirurgie, Otto-Von-Guericke-Universität Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Deutschland
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17
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Cannon TM, Bouma BE, Uribe-Patarroyo N. Layer-based, depth-resolved computation of attenuation coefficients and backscattering fractions in tissue using optical coherence tomography. BIOMEDICAL OPTICS EXPRESS 2021; 12:5037-5056. [PMID: 34513241 PMCID: PMC8407832 DOI: 10.1364/boe.427833] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 07/06/2021] [Accepted: 07/11/2021] [Indexed: 05/18/2023]
Abstract
Structural optical coherence tomography (OCT) images of tissue stand to benefit from greater functionalization and quantitative interpretation. The OCT attenuation coefficient µ, an analogue of the imaged sample's scattering coefficient, offers potential functional contrast based on the relationship of µ to sub-resolution physical properties of the sample. Attenuation coefficients are computed either by fitting a representative µ over several depth-wise pixels of a sample's intensity decay, or by using previously-developed depth-resolved attenuation algorithms by Girard et al. [Invest. Ophthalmol. Vis. Sci.52, 7738 (2011). 10.1167/iovs.10-6925] and Vermeer et al. [Biomed. Opt. Express5, 322 (2014). 10.1364/BOE.5.000322]. However, the former method sacrifices axial information in the tomogram, while the latter relies on the stringent assumption that the sample's backscattering fraction, another optical property, does not vary along depth. This assumption may be violated by layered tissues commonly observed in clinical imaging applications. Our approach preserves the full depth resolution of the attenuation map but removes its dependence on backscattering fraction by performing signal analysis inside individual discrete layers over which the scattering properties (e.g., attenuation and backscattering fraction) vary minimally. Although this approach necessitates the detection of these layers, it removes the constant-backscattering-fraction assumption that has constrained quantitative attenuation coefficient analysis in the past, and additionally yields a layer-resolved backscattering fraction, providing complementary scattering information to the attenuation coefficient. We validate our approach using automated layer detection in layered phantoms, for which the measured optical properties were in good agreement with theoretical values calculated with Mie theory, and show preliminary results in tissue alongside corresponding histological analysis. Together, accurate backscattering fraction and attenuation coefficient measurements enable the estimation of both particle density and size, which is not possible from attenuation measurements alone. We hope that this improvement to depth-resolved attenuation coefficient measurement, augmented by a layer-resolved backscattering fraction, will increase the diagnostic power of quantitative OCT imaging.
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Affiliation(s)
- Taylor M. Cannon
- Massachusetts Institute of Technology, Institute of Medical Engineering and Science, 70 Massachusetts Avenue, Cambridge, MA 02141, USA
- Wellman Center for Photomedicine, Massachusetts General Hospital, 40 Blossom St, Boston, MA 02114, USA
| | - Brett E. Bouma
- Massachusetts Institute of Technology, Institute of Medical Engineering and Science, 70 Massachusetts Avenue, Cambridge, MA 02141, USA
- Wellman Center for Photomedicine, Massachusetts General Hospital, 40 Blossom St, Boston, MA 02114, USA
| | - Néstor Uribe-Patarroyo
- Wellman Center for Photomedicine, Massachusetts General Hospital, 40 Blossom St, Boston, MA 02114, USA
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18
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Park HC, Li A, Guan H, Bettegowda C, Chaichana K, Quiñones-Hinojosa A, Li X. Minimizing OCT quantification error via a surface-tracking imaging probe. BIOMEDICAL OPTICS EXPRESS 2021; 12:3992-4002. [PMID: 34457394 PMCID: PMC8367274 DOI: 10.1364/boe.423233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 06/01/2021] [Accepted: 06/03/2021] [Indexed: 06/13/2023]
Abstract
OCT-based quantitative tissue optical properties imaging is a promising technique for intraoperative brain cancer assessment. The attenuation coefficient analysis relies on the depth-dependent OCT intensity profile, thus sensitive to tissue surface positions relative to the imaging beam focus. However, it is almost impossible to maintain a steady tissue surface during intraoperative imaging due to the patient's arterial pulsation and breathing, the operator's motion, and the complex tissue surface geometry of the surgical cavity. In this work, we developed an intraoperative OCT imaging probe with a surface-tracking function to minimize the quantification errors in optical attenuation due to the tissue surface position variations. A compact OCT imaging probe was designed and engineered to have a long working distance of ∼ 41 mm and a large field of view of 4 × 4 mm2 while keeping the probe diameter small (9 mm) to maximize clinical versatility. A piezo-based linear motor was integrated with the imaging probe and controlled based upon real-time feedback of tissue surface position inferred from OCT images. A GPU-assisted parallel processing algorithm was implemented, enabling detection and tracking of tissue surface in real-time and successfully suppressing more than 90% of the typical physiologically induced motion range. The surface-tracking intraoperative OCT imaging probe could maintain a steady beam focus inside the target tissue regardless of the surface geometry or physiological motions and enabled to obtain tissue optical attenuation reliably for assessing brain cancer margins in challenging intraoperative settings.
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Affiliation(s)
- Hyeon-Cheol Park
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21215, USA
| | - Ang Li
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21215, USA
| | - Honghua Guan
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Chetan Bettegowda
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
| | - Kaisorn Chaichana
- Department of Neurologic Surgery, Mayo Clinic, Jacksonville, FL 32224, USA
| | | | - Xingde Li
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21215, USA
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
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19
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Alfonso-Garcia A, Bec J, Weyers B, Marsden M, Zhou X, Li C, Marcu L. Mesoscopic fluorescence lifetime imaging: Fundamental principles, clinical applications and future directions. JOURNAL OF BIOPHOTONICS 2021; 14:e202000472. [PMID: 33710785 PMCID: PMC8579869 DOI: 10.1002/jbio.202000472] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 03/03/2021] [Accepted: 03/05/2021] [Indexed: 05/16/2023]
Abstract
Fluorescence lifetime imaging (FLIm) is an optical spectroscopic imaging technique capable of real-time assessments of tissue properties in clinical settings. Label-free FLIm is sensitive to changes in tissue structure and biochemistry resulting from pathological conditions, thus providing optical contrast to identify and monitor the progression of disease. Technical and methodological advances over the last two decades have enabled the development of FLIm instrumentation for real-time, in situ, mesoscopic imaging compatible with standard clinical workflows. Herein, we review the fundamental working principles of mesoscopic FLIm, discuss the technical characteristics of current clinical FLIm instrumentation, highlight the most commonly used analytical methods to interpret fluorescence lifetime data and discuss the recent applications of FLIm in surgical oncology and cardiovascular diagnostics. Finally, we conclude with an outlook on the future directions of clinical FLIm.
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Affiliation(s)
- Alba Alfonso-Garcia
- Department of Biomedical Engineering, University of California, Davis, Davis, California
| | - Julien Bec
- Department of Biomedical Engineering, University of California, Davis, Davis, California
| | - Brent Weyers
- Department of Biomedical Engineering, University of California, Davis, Davis, California
| | - Mark Marsden
- Department of Biomedical Engineering, University of California, Davis, Davis, California
| | - Xiangnan Zhou
- Department of Biomedical Engineering, University of California, Davis, Davis, California
| | - Cai Li
- Department of Biomedical Engineering, University of California, Davis, Davis, California
| | - Laura Marcu
- Department of Biomedical Engineering, University of California, Davis, Davis, California
- Department Neurological Surgery, University of California, Davis, California
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20
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Möller J, Bartsch A, Lenz M, Tischoff I, Krug R, Welp H, Hofmann MR, Schmieder K, Miller D. Applying machine learning to optical coherence tomography images for automated tissue classification in brain metastases. Int J Comput Assist Radiol Surg 2021; 16:1517-1526. [PMID: 34053010 PMCID: PMC8354973 DOI: 10.1007/s11548-021-02412-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 05/20/2021] [Indexed: 12/30/2022]
Abstract
Purpose A precise resection of the entire tumor tissue during surgery for brain metastases is essential to reduce local recurrence. Conventional intraoperative imaging techniques all have limitations in detecting tumor remnants. Therefore, there is a need for innovative new imaging methods such as optical coherence tomography (OCT). The purpose of this study is to discriminate brain metastases from healthy brain tissue in an ex vivo setting by applying texture analysis and machine learning algorithms for tissue classification to OCT images. Methods Tumor and healthy tissue samples were collected during resection of brain metastases. Samples were imaged using OCT. Texture features were extracted from B-scans. Then, a machine learning algorithm using principal component analysis (PCA) and support vector machines (SVM) was applied to the OCT scans for classification. As a gold standard, an experienced pathologist examined the tissue samples histologically and determined the percentage of vital tumor, necrosis and healthy tissue of each sample. A total of 14.336 B-scans from 14 tissue samples were included in the classification analysis. Results We were able to discriminate vital tumor from healthy brain tissue with an accuracy of 95.75%. By comparing necrotic tissue and healthy tissue, a classification accuracy of 99.10% was obtained. A generalized classification between brain metastases (vital tumor and necrosis) and healthy tissue was achieved with an accuracy of 96.83%. Conclusions An automated classification of brain metastases and healthy brain tissue is feasible using OCT imaging, extracted texture features and machine learning with PCA and SVM. The established approach can prospectively provide the surgeon with additional information about the tissue, thus optimizing the extent of tumor resection and minimizing the risk of local recurrences.
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Affiliation(s)
- Jens Möller
- Photonics and Terahertz Technology, Ruhr University Bochum, Bochum, Germany.
| | - Alexander Bartsch
- Department of Neurosurgery, University Hospital Knappschaftskrankenhaus Bochum, Ruhr University Bochum, Bochum, Germany
| | - Marcel Lenz
- Photonics and Terahertz Technology, Ruhr University Bochum, Bochum, Germany
| | - Iris Tischoff
- Department of Pathology, University Hospital Bergmannsheil Bochum, Ruhr University Bochum, Bochum, Germany
| | - Robin Krug
- Department of Neurosurgery, University Hospital Knappschaftskrankenhaus Bochum, Ruhr University Bochum, Bochum, Germany
| | - Hubert Welp
- Technische Hochschule Georg Agricola, Bochum, Germany
| | - Martin R Hofmann
- Photonics and Terahertz Technology, Ruhr University Bochum, Bochum, Germany
| | - Kirsten Schmieder
- Department of Neurosurgery, University Hospital Knappschaftskrankenhaus Bochum, Ruhr University Bochum, Bochum, Germany
| | - Dorothea Miller
- Department of Neurosurgery, University Hospital Knappschaftskrankenhaus Bochum, Ruhr University Bochum, Bochum, Germany
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21
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Dolganova IN, Aleksandrova PV, Nikitin PV, Alekseeva AI, Chernomyrdin NV, Musina GR, Beshplav ST, Reshetov IV, Potapov AA, Kurlov VN, Tuchin VV, Zaytsev KI. Capability of physically reasonable OCT-based differentiation between intact brain tissues, human brain gliomas of different WHO grades, and glioma model 101.8 from rats. BIOMEDICAL OPTICS EXPRESS 2020; 11:6780-6798. [PMID: 33282523 PMCID: PMC7687948 DOI: 10.1364/boe.409692] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 10/19/2020] [Accepted: 10/22/2020] [Indexed: 05/17/2023]
Abstract
Optical coherence tomography (OCT) of the ex vivo rat and human brain tissue samples is performed. The set of samples comprises intact white and gray matter, as well as human brain gliomas of the World Health Organization (WHO) Grades I-IV and glioma model 101.8 from rats. Analysis of OCT signals is aimed at comparing the physically reasonable properties of tissues, and determining the attenuation coefficient, parameter related to effective refractive index, and their standard deviations. Data analysis is based on the linear discriminant analysis and estimation of their dispersion in a four-dimensional principal component space. The results demonstrate the distinct contrast between intact tissues and low-grade gliomas and moderate contrast between intact tissues and high-grade gliomas. Particularly, the mean values of attenuation coefficient are 7.56±0.91, 3.96±0.98, and 5.71±1.49 mm-1 for human white matter, glioma Grade I, and glioblastoma, respectively. The significant variability of optical properties of high Grades and essential differences between rat and human brain tissues are observed. The dispersion of properties enlarges with increase of the glioma WHO Grade, which can be attributed to the growing heterogeneity of pathological brain tissues. The results of this study reveal the advantages and drawbacks of OCT for the intraoperative diagnosis of brain gliomas and compare its abilities separately for different grades of malignancy. The perspective of OCT to differentiate low-grade gliomas is highlighted by the low performance of the existing intraoperational methods and instruments.
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Affiliation(s)
- I. N. Dolganova
- Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka 142432, Russia
- Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia
| | - P. V. Aleksandrova
- Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka 142432, Russia
| | - P. V. Nikitin
- Burdenko Neurosurgery Institute, Moscow 125047, Russia
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow 119991, Russia
| | - A. I. Alekseeva
- Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka 142432, Russia
- Research Institute of Human Morphology, Moscow 117418, Russia
| | - N. V. Chernomyrdin
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow 119991, Russia
| | - G. R. Musina
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow 119991, Russia
| | - S. T. Beshplav
- Burdenko Neurosurgery Institute, Moscow 125047, Russia
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow 119991, Russia
| | - I. V. Reshetov
- Institute for Cluster Oncology, Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia
- Academy of Postgraduate Education FSCC FMBA, Moscow 125310, Russia
| | - A. A. Potapov
- Burdenko Neurosurgery Institute, Moscow 125047, Russia
| | - V. N. Kurlov
- Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka 142432, Russia
- Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia
| | - V. V. Tuchin
- Saratov State University, Saratov 410012, Russia
- Institute of Precision Mechanics and Control of the Russian Academy of Sciences, Saratov 410028, Russia
- Tomsk State University, Tomsk 634050, Russia
| | - K. I. Zaytsev
- Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow 119991, Russia
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22
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Gesperger J, Lichtenegger A, Roetzer T, Salas M, Eugui P, Harper DJ, Merkle CW, Augustin M, Kiesel B, Mercea PA, Widhalm G, Baumann B, Woehrer A. Improved Diagnostic Imaging of Brain Tumors by Multimodal Microscopy and Deep Learning. Cancers (Basel) 2020; 12:E1806. [PMID: 32640583 PMCID: PMC7408054 DOI: 10.3390/cancers12071806] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 06/26/2020] [Accepted: 07/01/2020] [Indexed: 11/16/2022] Open
Abstract
Fluorescence-guided surgery is a state-of-the-art approach for intraoperative imaging during neurosurgical removal of tumor tissue. While the visualization of high-grade gliomas is reliable, lower grade glioma often lack visible fluorescence signals. Here, we present a hybrid prototype combining visible light optical coherence microscopy (OCM) and high-resolution fluorescence imaging for assessment of brain tumor samples acquired by 5-aminolevulinic acid (5-ALA) fluorescence-guided surgery. OCM provides high-resolution information of the inherent tissue scattering and absorption properties of tissue. We here explore quantitative attenuation coefficients derived from volumetric OCM intensity data and quantitative high-resolution 5-ALA fluorescence as potential biomarkers for tissue malignancy including otherwise difficult-to-assess low-grade glioma. We validate our findings against the gold standard histology and use attenuation and fluorescence intensity measures to differentiate between tumor core, infiltrative zone and adjacent brain tissue. Using large field-of-view scans acquired by a near-infrared swept-source optical coherence tomography setup, we provide initial assessments of tumor heterogeneity. Finally, we use cross-sectional OCM images to train a convolutional neural network that discriminates tumor from non-tumor tissue with an accuracy of 97%. Collectively, the present hybrid approach offers potential to translate into an in vivo imaging setup for substantially improved intraoperative guidance of brain tumor surgeries.
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Affiliation(s)
- Johanna Gesperger
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria; (J.G.); (A.L.); (M.S.); (P.E.); (D.J.H.); (C.W.M.); (M.A.)
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, 1090 Vienna, Austria; (T.R.); (A.W.)
| | - Antonia Lichtenegger
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria; (J.G.); (A.L.); (M.S.); (P.E.); (D.J.H.); (C.W.M.); (M.A.)
| | - Thomas Roetzer
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, 1090 Vienna, Austria; (T.R.); (A.W.)
| | - Matthias Salas
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria; (J.G.); (A.L.); (M.S.); (P.E.); (D.J.H.); (C.W.M.); (M.A.)
| | - Pablo Eugui
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria; (J.G.); (A.L.); (M.S.); (P.E.); (D.J.H.); (C.W.M.); (M.A.)
| | - Danielle J. Harper
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria; (J.G.); (A.L.); (M.S.); (P.E.); (D.J.H.); (C.W.M.); (M.A.)
| | - Conrad W. Merkle
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria; (J.G.); (A.L.); (M.S.); (P.E.); (D.J.H.); (C.W.M.); (M.A.)
| | - Marco Augustin
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria; (J.G.); (A.L.); (M.S.); (P.E.); (D.J.H.); (C.W.M.); (M.A.)
| | - Barbara Kiesel
- Department of Neurosurgery, Medical University of Vienna, 1090 Vienna, Austria; (B.K.); (P.A.M.)
| | - Petra A. Mercea
- Department of Neurosurgery, Medical University of Vienna, 1090 Vienna, Austria; (B.K.); (P.A.M.)
| | - Georg Widhalm
- Department of Neurosurgery, Medical University of Vienna, 1090 Vienna, Austria; (B.K.); (P.A.M.)
| | - Bernhard Baumann
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria; (J.G.); (A.L.); (M.S.); (P.E.); (D.J.H.); (C.W.M.); (M.A.)
| | - Adelheid Woehrer
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, 1090 Vienna, Austria; (T.R.); (A.W.)
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23
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Gong P, Almasian M, van Soest G, de Bruin DM, van Leeuwen TG, Sampson DD, Faber DJ. Parametric imaging of attenuation by optical coherence tomography: review of models, methods, and clinical translation. JOURNAL OF BIOMEDICAL OPTICS 2020; 25:1-34. [PMID: 32246615 PMCID: PMC7118361 DOI: 10.1117/1.jbo.25.4.040901] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 02/28/2020] [Indexed: 05/07/2023]
Abstract
SIGNIFICANCE Optical coherence tomography (OCT) provides cross-sectional and volumetric images of backscattering from biological tissue that reveal the tissue morphology. The strength of the scattering, characterized by an attenuation coefficient, represents an alternative and complementary tissue optical property, which can be characterized by parametric imaging of the OCT attenuation coefficient. Over the last 15 years, a multitude of studies have been reported seeking to advance methods to determine the OCT attenuation coefficient and developing them toward clinical applications. AIM Our review provides an overview of the main models and methods, their assumptions and applicability, together with a survey of preclinical and clinical demonstrations and their translation potential. RESULTS The use of the attenuation coefficient, particularly when presented in the form of parametric en face images, is shown to be applicable in various medical fields. Most studies show the promise of the OCT attenuation coefficient in differentiating between tissues of clinical interest but vary widely in approach. CONCLUSIONS As a future step, a consensus on the model and method used for the determination of the attenuation coefficient is an important precursor to large-scale studies. With our review, we hope to provide a basis for discussion toward establishing this consensus.
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Affiliation(s)
- Peijun Gong
- The University of Western Australia, Department of Electrical, Electronic and Computer Engineering, Optical+Biomedical Engineering Laboratory, Perth, Western Australia, Australia
- Address all correspondence to Peijun Gong, E-mail:
| | - Mitra Almasian
- University of Amsterdam, Amsterdam University Medical Centers, Cancer Center Amsterdam, Amsterdam Cardiovascular Sciences, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands
| | - Gijs van Soest
- Erasmus MC, University Medical Center Rotterdam, Department of Cardiology, Rotterdam, The Netherlands
| | - Daniel M. de Bruin
- University of Amsterdam, Amsterdam University Medical Centers, Cancer Center Amsterdam, Amsterdam Cardiovascular Sciences, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands
| | - Ton G. van Leeuwen
- University of Amsterdam, Amsterdam University Medical Centers, Cancer Center Amsterdam, Amsterdam Cardiovascular Sciences, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands
| | - David D. Sampson
- The University of Western Australia, Department of Electrical, Electronic and Computer Engineering, Optical+Biomedical Engineering Laboratory, Perth, Western Australia, Australia
- University of Surrey, Surrey Biophotonics, Guildford, Surrey, United Kingdom
| | - Dirk J. Faber
- University of Amsterdam, Amsterdam University Medical Centers, Cancer Center Amsterdam, Amsterdam Cardiovascular Sciences, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands
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24
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Soloukey S, Vincent AJPE, Satoer DD, Mastik F, Smits M, Dirven CMF, Strydis C, Bosch JG, van der Steen AFW, De Zeeuw CI, Koekkoek SKE, Kruizinga P. Functional Ultrasound (fUS) During Awake Brain Surgery: The Clinical Potential of Intra-Operative Functional and Vascular Brain Mapping. Front Neurosci 2020; 13:1384. [PMID: 31998060 PMCID: PMC6962116 DOI: 10.3389/fnins.2019.01384] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Accepted: 12/09/2019] [Indexed: 12/16/2022] Open
Abstract
Background and Purpose Oncological neurosurgery relies heavily on making continuous, intra-operative tumor-brain delineations based on image-guidance. Limitations of currently available imaging techniques call for the development of real-time image-guided resection tools, which allow for reliable functional and anatomical information in an intra-operative setting. Functional ultrasound (fUS), is a new mobile neuro-imaging tool with unprecedented spatiotemporal resolution, which allows for the detection of small changes in blood dynamics that reflect changes in metabolic activity of activated neurons through neurovascular coupling. We have applied fUS during conventional awake brain surgery to determine its clinical potential for both intra-operative functional and vascular brain mapping, with the ultimate aim of achieving maximum safe tumor resection. Methods During awake brain surgery, fUS was used to image tumor vasculature and task-evoked brain activation with electrocortical stimulation mapping (ESM) as a gold standard. For functional imaging, patients were presented with motor, language or visual tasks, while the probe was placed over (ESM-defined) functional brain areas. For tumor vascular imaging, tumor tissue (pre-resection) and tumor resection cavity (post-resection) were imaged by moving the hand-held probe along a continuous trajectory over the regions of interest. Results A total of 10 patients were included, with predominantly intra-parenchymal frontal and temporal lobe tumors of both low and higher histopathological grades. fUS was able to detect (ESM-defined) functional areas deep inside the brain for a range of functional tasks including language processing. Brain tissue could be imaged at a spatial and temporal resolution of 300 μm and 1.5-2.0 ms respectively, revealing real-time tumor-specific, and healthy vascular characteristics. Conclusion The current study presents the potential of applying fUS during awake brain surgery. We illustrate the relevance of fUS for awake brain surgery based on its ability to capture both task-evoked functional cortical responses as well as differences in vascular characteristics between tumor and healthy tissue. As current neurosurgical practice is still pre-dominantly leaning on inherently limited pre-operative imaging techniques for tumor resection-guidance, fUS enters the scene as a promising alternative that is both anatomically and physiologically informative.
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Affiliation(s)
- Sadaf Soloukey
- Department of Neurosurgery, Erasmus MC, Rotterdam, Netherlands.,Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
| | | | - Djaina D Satoer
- Department of Neurosurgery, Erasmus MC, Rotterdam, Netherlands
| | - Frits Mastik
- Department of Biomedical Engineering, Thorax Centre, Erasmus MC, Rotterdam, Netherlands
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands
| | | | | | - Johannes G Bosch
- Department of Biomedical Engineering, Thorax Centre, Erasmus MC, Rotterdam, Netherlands
| | | | - Chris I De Zeeuw
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands.,Netherlands Institute for Neuroscience, Royal Dutch Academy for Arts and Sciences, Amsterdam, Netherlands
| | | | - Pieter Kruizinga
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands.,Department of Biomedical Engineering, Thorax Centre, Erasmus MC, Rotterdam, Netherlands
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25
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MicroRNA-346 inhibits the growth of glioma by directly targeting NFIB. Cancer Cell Int 2019; 19:294. [PMID: 31807116 PMCID: PMC6857291 DOI: 10.1186/s12935-019-1017-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 11/04/2019] [Indexed: 12/16/2022] Open
Abstract
Background Glioma is considered one of the most common tumors and has a poor prognosis. Recently, microRNAs (miRNAs) have been reported to be strongly linked to various human tumors including glioma. In this study, we investigated a new anticancer miRNA, miR-346, to determine the effects and mechanism of miR-346 and its downstream target gene NFIB on tumors. Methods Lentivirus transfection, real-time PCR, western blotting, immunohistochemistry, cell proliferation assays, and mouse experiments were used to examine the relationship between miR-346 and its regulation of NFIB in glioma cells. Results The expression of miR-346 was downregulated in glioma cells. Overexpression of miR-346 arrested the cell cycle of glioma cells and inhibited their proliferation in vitro and in vivo. NFIB was a direct target of miR-346, whose expression was reduced by the miRNA. Overexpression of NFIB reversed all tested functions of miR-346. Conclusion miR-346 inhibited the growth of glioma cells by targeting NFIB and may be a new prognostic and diagnostic biomarker for glioma.
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