ArticleBMC medical imaging2019
Feasibility evaluation of micro-optical coherence tomography (μOCT) for rapid brain tumor type and grade discriminations: μOCT images versus pathology.
Article in BMC medical imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- Preliminary Establishment of a Method and System for Detecting Neural Tumor Boundaries Based on Optical Coherence Tomography.MedComm · 2025Article
- Multiphoton microscopy imaging of fibrous meningiomas based on the combination of multichannel mode and lambda mode.Frontiers in neuroscience · 2025Article
- Review
- Label-free optical imaging for brain cancer assessment.Trends in cancer · 2024Review
- Quantification of attenuation and speckle features from endoscopic OCT images for the diagnosis of human brain glioma.Scientific reports · 2024Article
- Brain tumor grading diagnosis using transfer learning based on optical coherence tomography.Biomedical optics express · 2024Article
- The neurosurgical benefit of contactlessFrontiers in oncology · 2023Article
- Identification of normal and depression EEG signals in variational mode decomposition domain.Health information science and systems · 2022Article
- How molecular imaging will enable robotic precision surgery : The role of artificial intelligence, augmented reality, and navigation.European journal of nuclear medicine and molecular imaging · 2021Review
- Quantitative evaluation of the dynamic activity of HeLa cells in different viability states using dynamic full-field optical coherence microscopy.Biomedical optics express · 2021Article
- Applying machine learning to optical coherence tomography images for automated tissue classification in brain metastases.International journal of computer assisted radiology and surgery · 2021Article
- 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 · 2020Article
- Longitudinal in-vivo OCM imaging of glioblastoma development in the mouse brain.Biomedical optics express · 2020Article
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrecise identification, discrimination and assessment of central nervous system (CNS) tumors is of critical importance to brain neoplasm treatment. Due to the complexity and limited resolutions of the existing diagnostic tools, however, it is difficult to identify the tumors and their boundaries precisely in clinical practice, and thus, the conventional way of brain neoplasm treatment relies mainly on the experiences of neurosurgeons to make resection decisions in the surgery process. The purpose of this study is to explore the potential of Micro-optical coherence tomography (μOCT) as an intraoperative diagnostic imaging tool for identifying and discriminating glioma and meningioma with their microstructure imaging ex vivo, which thus may help neurosurgeons to perform precise surgery with low costs and reduced burdens.
methodsFresh glioma and meningioma samples were resected from patients, and then slices of such samples were excised and imaged instantly ex vivo with a lab-built μOCT, which achieves a spatial resolution of ~ 2.0 μm (μm). The acquired optical coherence tomography (OCT) images were pathologically evaluated and compared to their corresponding histology for both tumor type and tumor grade discriminations in different cases.
resultsBy using the lab-built μOCT, both the cross-sectional and en face images of glioma and meningioma were acquired ex vivo. Based upon the morphology results, both the glioma and meningioma types as well as the glioma grades were assessed and discriminated. Comparisons between OCT imaging results and histology showed that typical tissue microstructures of glioma and meningioma could be clearly identified and confirmed the type and grade discriminations with satisfactory accuracy.
conclusionsμOCT could provide high-resolution three-dimensional (3D) imaging of the glioma and meningioma tissue microstructures rapidly ex vivo. μOCT imaging results could help discriminate both tumor types and grades, which illustrates the potential of μOCT as an intraoperative diagnostic imaging tool to help neurosurgeons perform their surgery precisely in tumor treatment process.
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