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Zhang W, Fine JL, Pei X, Cao Y, Liu Y, Yan J, Ban Z, Zhang T, Wei Y, Zhao X, Wang B, Zhao C, Zeng X. Characteristics and utility of high-resolution optical coherence microscopy images of endocervical canal lesions. Am J Clin Pathol 2024:aqae052. [PMID: 38704601 DOI: 10.1093/ajcp/aqae052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 04/06/2024] [Indexed: 05/06/2024] Open
Abstract
OBJECTIVES To investigate optical coherence microscopy (OCM) imaging features and the application value of these high-resolution images for identifying endocervical canal lesions (ECLs), which is a clinical dilemma in cervical cancer screening programs. METHODS In total, 520 OCM images were obtained by scanning the cervical canal lesions with an ultra-high-resolution OCM system (204 specimens from 73 patients). The OCM morphologic characteristics of ECLs were observed and summarized, and then 3 researchers performed a diagnostic test of OCM images of cervical canal lesions. The accuracy, sensitivity, specificity, positive predictive value, negative predictive value, 95% confidence interval of each parameter, and interinvestigator agreement (κ) were calculated. RESULTS Normal endocervix, cysts, squamous metaplasia, high-grade squamous intraepithelial lesions involving glands, and invasive carcinoma had distinct OCM characteristics, which correlated well with corresponding H&E histologic sections. The accuracy, sensitivity, and specificity of the 3 researchers were 90.6%, 89.3% (95% CI, 86.5%-91.7%) and 91.6% (95% CI, 89.2%-93.5%), respectively. The positive predictive value was 90.1% (95% CI, 87.3%-92.4%), and the negative predictive value was 90.9% (95% CI, 88.5%-92.9%), with almost perfect agreement (κ = 0.874). CONCLUSIONS The application of the OCM system in cervical canal lesions is feasible and could help improve detection of occult ECLs in cervical cancer screening programs. This study lays the foundation for further research on OCM in cervical canal lesions in vivo, which also has a potential impact on projecting pathologic evaluation beyond what is currently possible, perhaps globally.
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Affiliation(s)
- Wei Zhang
- Department of Pathology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jeffrey L Fine
- Department of Pathology, UPMC Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, US
| | - Xiaoyin Pei
- Department of Pathology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yushan Cao
- Department of Pathology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yixuan Liu
- Department of Pathology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jinxiang Yan
- Department of Pathology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhenying Ban
- Department of Pathology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ting Zhang
- Department of Pathology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuan Wei
- Department of Pathology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xin Zhao
- Department of Pathology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Baojin Wang
- Department of Pathology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Chengquan Zhao
- Department of Pathology, UPMC Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, US
| | - Xianxu Zeng
- Department of Pathology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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2
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Burström G, Amini M, El-Hajj VG, Arfan A, Gharios M, Buwaider A, Losch MS, Manni F, Edström E, Elmi-Terander A. Optical Methods for Brain Tumor Detection: A Systematic Review. J Clin Med 2024; 13:2676. [PMID: 38731204 PMCID: PMC11084501 DOI: 10.3390/jcm13092676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 04/28/2024] [Accepted: 04/30/2024] [Indexed: 05/13/2024] Open
Abstract
Background: In brain tumor surgery, maximal tumor resection is typically desired. This is complicated by infiltrative tumor cells which cannot be visually distinguished from healthy brain tissue. Optical methods are an emerging field that can potentially revolutionize brain tumor surgery through intraoperative differentiation between healthy and tumor tissues. Methods: This study aimed to systematically explore and summarize the existing literature on the use of Raman Spectroscopy (RS), Hyperspectral Imaging (HSI), Optical Coherence Tomography (OCT), and Diffuse Reflectance Spectroscopy (DRS) for brain tumor detection. MEDLINE, Embase, and Web of Science were searched for studies evaluating the accuracy of these systems for brain tumor detection. Outcome measures included accuracy, sensitivity, and specificity. Results: In total, 44 studies were included, covering a range of tumor types and technologies. Accuracy metrics in the studies ranged between 54 and 100% for RS, 69 and 99% for HSI, 82 and 99% for OCT, and 42 and 100% for DRS. Conclusions: This review provides insightful evidence on the use of optical methods in distinguishing tumor from healthy brain tissue.
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Affiliation(s)
- Gustav Burström
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden; (G.B.); (M.A.); (A.A.); (M.G.); (A.B.); (E.E.)
| | - Misha Amini
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden; (G.B.); (M.A.); (A.A.); (M.G.); (A.B.); (E.E.)
| | - Victor Gabriel El-Hajj
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden; (G.B.); (M.A.); (A.A.); (M.G.); (A.B.); (E.E.)
| | - Arooj Arfan
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden; (G.B.); (M.A.); (A.A.); (M.G.); (A.B.); (E.E.)
| | - Maria Gharios
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden; (G.B.); (M.A.); (A.A.); (M.G.); (A.B.); (E.E.)
| | - Ali Buwaider
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden; (G.B.); (M.A.); (A.A.); (M.G.); (A.B.); (E.E.)
| | - Merle S. Losch
- Department of Biomechanical Engineering, Faculty of Mechanical Engineering, Delft University of Technology, 2627 Delft, The Netherlands
| | - Francesca Manni
- Department of Electrical Engineering, Eindhoven University of Technology (TU/e), 5612 Eindhoven, The Netherlands;
| | - Erik Edström
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden; (G.B.); (M.A.); (A.A.); (M.G.); (A.B.); (E.E.)
- Capio Spine Center Stockholm, Löwenströmska Hospital, 194 80 Upplands-Väsby, Sweden
- Department of Medical Sciences, Örebro University, 701 85 Örebro, Sweden
| | - Adrian Elmi-Terander
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden; (G.B.); (M.A.); (A.A.); (M.G.); (A.B.); (E.E.)
- Capio Spine Center Stockholm, Löwenströmska Hospital, 194 80 Upplands-Väsby, Sweden
- Department of Medical Sciences, Örebro University, 701 85 Örebro, Sweden
- Department of Surgical Sciences, Uppsala University, 751 35 Uppsala, Sweden
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3
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Alongi P, Arnone A, Vultaggio V, Fraternali A, Versari A, Casali C, Arnone G, DiMeco F, Vetrano IG. Artificial Intelligence Analysis Using MRI and PET Imaging in Gliomas: A Narrative Review. Cancers (Basel) 2024; 16:407. [PMID: 38254896 PMCID: PMC10814838 DOI: 10.3390/cancers16020407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 01/10/2024] [Accepted: 01/14/2024] [Indexed: 01/24/2024] Open
Abstract
The lack of early detection and a high rate of recurrence/progression after surgery are defined as the most common causes of a very poor prognosis of Gliomas. The developments of quantification systems with special regards to artificial intelligence (AI) on medical images (CT, MRI, PET) are under evaluation in the clinical and research context in view of several applications providing different information related to the reconstruction of imaging, the segmentation of tissues acquired, the selection of features, and the proper data analyses. Different approaches of AI have been proposed as the machine and deep learning, which utilize artificial neural networks inspired by neuronal architectures. In addition, new systems have been developed using AI techniques to offer suggestions or make decisions in medical diagnosis, emulating the judgment of radiologist experts. The potential clinical role of AI focuses on the prediction of disease progression in more aggressive forms in gliomas, differential diagnosis (pseudoprogression vs. proper progression), and the follow-up of aggressive gliomas. This narrative Review will focus on the available applications of AI in brain tumor diagnosis, mainly related to malignant gliomas, with particular attention to the postoperative application of MRI and PET imaging, considering the current state of technical approach and the evaluation after treatment (including surgery, radiotherapy/chemotherapy, and prognostic stratification).
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Affiliation(s)
- Pierpaolo Alongi
- Nuclear Medicine Unit, ARNAS Ospedali Civico, Di Cristina e Benfratelli, 90127 Palermo, Italy; (P.A.); (V.V.); (G.A.)
| | - Annachiara Arnone
- Nuclear Medicine Unit, Azienda Unità Sanitaria Locale IRCCS, 42122 Reggio Emilia, Italy; (A.A.); (A.F.); (A.V.)
| | - Viola Vultaggio
- Nuclear Medicine Unit, ARNAS Ospedali Civico, Di Cristina e Benfratelli, 90127 Palermo, Italy; (P.A.); (V.V.); (G.A.)
| | - Alessandro Fraternali
- Nuclear Medicine Unit, Azienda Unità Sanitaria Locale IRCCS, 42122 Reggio Emilia, Italy; (A.A.); (A.F.); (A.V.)
| | - Annibale Versari
- Nuclear Medicine Unit, Azienda Unità Sanitaria Locale IRCCS, 42122 Reggio Emilia, Italy; (A.A.); (A.F.); (A.V.)
| | - Cecilia Casali
- Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (C.C.); (F.D.)
| | - Gaspare Arnone
- Nuclear Medicine Unit, ARNAS Ospedali Civico, Di Cristina e Benfratelli, 90127 Palermo, Italy; (P.A.); (V.V.); (G.A.)
| | - Francesco DiMeco
- Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (C.C.); (F.D.)
- Department of Oncology and Onco-Hematology, Università di Milano, 20122 Milan, Italy
- Department of Neurological Surgery, Johns Hopkins Medical School, Baltimore, MD 21218, USA
| | - Ignazio Gaspare Vetrano
- Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (C.C.); (F.D.)
- Department of Biomedical Sciences for Health, Università di Milano, 20122 Milan, Italy
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4
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Thenuwara G, Curtin J, Tian F. Advances in Diagnostic Tools and Therapeutic Approaches for Gliomas: A Comprehensive Review. SENSORS (BASEL, SWITZERLAND) 2023; 23:9842. [PMID: 38139688 PMCID: PMC10747598 DOI: 10.3390/s23249842] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/07/2023] [Accepted: 12/08/2023] [Indexed: 12/24/2023]
Abstract
Gliomas, a prevalent category of primary malignant brain tumors, pose formidable clinical challenges due to their invasive nature and limited treatment options. The current therapeutic landscape for gliomas is constrained by a "one-size-fits-all" paradigm, significantly restricting treatment efficacy. Despite the implementation of multimodal therapeutic strategies, survival rates remain disheartening. The conventional treatment approach, involving surgical resection, radiation, and chemotherapy, grapples with substantial limitations, particularly in addressing the invasive nature of gliomas. Conventional diagnostic tools, including computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET), play pivotal roles in outlining tumor characteristics. However, they face limitations, such as poor biological specificity and challenges in distinguishing active tumor regions. The ongoing development of diagnostic tools and therapeutic approaches represents a multifaceted and promising frontier in the battle against this challenging brain tumor. The aim of this comprehensive review is to address recent advances in diagnostic tools and therapeutic approaches for gliomas. These innovations aim to minimize invasiveness while enabling the precise, multimodal targeting of localized gliomas. Researchers are actively developing new diagnostic tools, such as colorimetric techniques, electrochemical biosensors, optical coherence tomography, reflectometric interference spectroscopy, surface-enhanced Raman spectroscopy, and optical biosensors. These tools aim to regulate tumor progression and develop precise treatment methods for gliomas. Recent technological advancements, coupled with bioelectronic sensors, open avenues for new therapeutic modalities, minimizing invasiveness and enabling multimodal targeting with unprecedented precision. The next generation of multimodal therapeutic strategies holds potential for precision medicine, aiding the early detection and effective management of solid brain tumors. These innovations offer promise in adopting precision medicine methodologies, enabling early disease detection, and improving solid brain tumor management. This review comprehensively recognizes the critical role of pioneering therapeutic interventions, holding significant potential to revolutionize brain tumor therapeutics.
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Affiliation(s)
- Gayathree Thenuwara
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman Lower, D07 H6K8 Dublin, Ireland;
- Institute of Biochemistry, Molecular Biology, and Biotechnology, University of Colombo, Colombo 00300, Sri Lanka
| | - James Curtin
- Faculty of Engineering and Built Environment, Technological University Dublin, Bolton Street, D01 K822 Dublin, Ireland;
| | - Furong Tian
- School of Food Science and Environmental Health, Technological University Dublin, Grangegorman Lower, D07 H6K8 Dublin, Ireland;
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5
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Moiseev A, Sherstnev E, Kiseleva E, Achkasova K, Potapov A, Yashin K, Sirotkina M, Gelikonov G, Matkivsky V, Shilyagin P, Ksenofontov S, Bederina E, Medyanik I, Zagaynova E, Gladkova N. Depth-resolved method for attenuation coefficient calculation from optical coherence tomography data for improved biological structure visualization. JOURNAL OF BIOPHOTONICS 2023; 16:e202100392. [PMID: 37551154 DOI: 10.1002/jbio.202100392] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 07/07/2023] [Accepted: 07/10/2023] [Indexed: 08/09/2023]
Abstract
Optical coherence tomography (OCT) is a promising tool for intraoperative tissue morphology determination. Several studies suggest that attenuation coefficient derived from the OCT images, can differentiate between tissues of different morphology, such as normal and pathological structures of the brain, skin, and other tissues. In the present study, the depth-resolved method for attenuation coefficient calculation was adopted for the real-world situation of the depth-dependent OCT sensitivity and additive imaging noise with nonzero mean. It was shown that in the case of sharp focusing (~10 μm spot full width at half maximum [FWHM] or smaller at 1.3 μm central wavelength) only the proposed method for depth-dependent sensitivity compensation does not introduce misleading artifacts into the calculated attenuation coefficient distribution. At the same time, the scanning beam focus spot with FWHM greater than 10 μm at 1.3 μm central wavelength allows one to use multiple approaches to the attenuation coefficient calculation without introducing noticeable bias. This feature may hinder the need for robust corrections for the depth-resolved attenuation coefficient estimations from the community.
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Affiliation(s)
- Alexander Moiseev
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Evgeny Sherstnev
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Elena Kiseleva
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Ksenia Achkasova
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Arseniy Potapov
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | | | - Marina Sirotkina
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Grigory Gelikonov
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Vasily Matkivsky
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Pavel Shilyagin
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Sergey Ksenofontov
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Evgenia Bederina
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Igor Medyanik
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Elena Zagaynova
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Nizhny Novgorod State University, Nizhny Novgorod, Russia
| | - Natalia Gladkova
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
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Ma X, Moradi M, Ma X, Tang Q, Levi M, Chen Y, Zhang HK. Large Area Kidney Imaging for Pre-transplant Evaluation using Real-Time Robotic Optical Coherence Tomography. RESEARCH SQUARE 2023:rs.3.rs-3385622. [PMID: 37886456 PMCID: PMC10602184 DOI: 10.21203/rs.3.rs-3385622/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Optical coherence tomography (OCT) is a high-resolution imaging modality that can be used to image microstructures of human kidneys. These images can be analyzed to evaluate the viability of the organ for transplantation. However, current OCT devices suffer from insufficient field-of-view, leading to biased examination outcomes when only small portions of the kidney can be assessed. Here we present a robotic OCT system where an OCT probe is integrated with a robotic manipulator, enabling wider area spatially-resolved imaging. With the proposed system, it becomes possible to comprehensively scan the kidney surface and provide large area parameterization of the microstructures. We verified the probe tracking accuracy with a phantom as 0.0762±0.0727 mm and demonstrated its clinical feasibility by scanning ex vivo kidneys. The parametric map exhibits fine vasculatures beneath the kidney surface. Quantitative analysis on the proximal convoluted tubule from the ex vivo human kidney yields highly clinical-relevant information.
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Affiliation(s)
- Xihan Ma
- Department of Robotics Engineering, Worcester Polytechnic Institute, MA 01609, USA
| | - Mousa Moradi
- Department of Biomedical Engineering, University of Massachusetts, Amherst, MA 01003, USA
| | - Xiaoyu Ma
- Department of Biomedical Engineering, University of Massachusetts, Amherst, MA 01003, USA
| | - Qinggong Tang
- The Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK 73019, USA
| | - Moshe Levi
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20057, USA
| | - Yu Chen
- Department of Biomedical Engineering, University of Massachusetts, Amherst, MA 01003, USA
| | - Haichong K Zhang
- Department of Robotics Engineering, Worcester Polytechnic Institute, MA 01609, USA
- Department of Biomedical Engineering, Worcester Polytechnic Institute, MA 01609, USA
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7
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Bogusiewicz J, Bojko B. Insight into new opportunities in intra-surgical diagnostics of brain tumors. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.117043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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8
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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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Review of Intraoperative Adjuncts for Maximal Safe Resection of Gliomas and Its Impact on Outcomes. Cancers (Basel) 2022; 14:cancers14225705. [PMID: 36428797 PMCID: PMC9688206 DOI: 10.3390/cancers14225705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 11/12/2022] [Accepted: 11/18/2022] [Indexed: 11/22/2022] Open
Abstract
Maximal safe resection is the mainstay of treatment in the neurosurgical management of gliomas, and preserving functional integrity is linked to favorable outcomes. How these modalities differ in their effectiveness on the extent of resection (EOR), survival, and complications remains unknown. A systematic literature search was performed with the following inclusion criteria: published between 2005 and 2022, involving brain glioma surgery, and including one or a combination of intraoperative modalities: intraoperative magnetic resonance imaging (iMRI), awake/general anesthesia craniotomy mapping (AC/GA), fluorescence-guided imaging, or combined modalities. Of 525 articles, 464 were excluded and 61 articles were included, involving 5221 glioma patients, 7(11.4%) articles used iMRI, 21(36.8%) used cortical mapping, 15(24.5%) used 5-aminolevulinic acid (5-ALA) or fluorescein sodium, and 18(29.5%) used combined modalities. The heterogeneity in reporting the amount of surgical resection prevented further analysis. Progression-free survival/overall survival (PFS/OS) were reported in 18/61(29.5%) articles, while complications and permanent disability were reported in 38/61(62.2%) articles. The reviewed studies demonstrate that intraoperative adjuncts such as iMRI, AC/GA mapping, fluorescence-guided imaging, and a combination of these modalities improve EOR. However, PFS/OS were underreported. Combining multiple intraoperative modalities seems to have the highest effect compared to each adjunct alone.
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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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Alongi P, Vetrano IG. Advances in the In Vivo Quantitative and Qualitative Imaging Characterization of Gliomas. Cancers (Basel) 2022; 14:cancers14143324. [PMID: 35884385 PMCID: PMC9316554 DOI: 10.3390/cancers14143324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 06/13/2022] [Accepted: 07/02/2022] [Indexed: 11/16/2022] Open
Abstract
Gliomas are the most common and aggressive intra-axial primary tumours of the central nervous system (CNS), arising from glial cells [...]
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Affiliation(s)
- Pierpaolo Alongi
- Nuclear Medicine Unit, A.R.N.A.S. Ospedale Civico Di Cristina Benfratelli, 90127 Palermo, Italy
- Correspondence:
| | - Ignazio Gaspare Vetrano
- Department of Neurosurgery, Neuro-Oncological Surgery Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy;
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