TY - GEN
T1 - High-Speed three-dimensional glioma morphology imaging and grade discrimination using micro-optical coherence tomography
AU - Yu, Xiaojun
AU - Wang, Xingduo
AU - Hu, Chi
AU - Fan, Shiqi
AU - Guo, Yong
AU - Liu, Linbo
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Glioma is one of the most common types of central nervous system (CNS) tumor with an average survival of 1.5 to 2 years. One way to improve the patient survival is to identify and excise the glioma tumor precisely and completely to seek for subsequent treatment. Due to the system complexity and limited performances of the existing diagnostic tools, however, the identification of glioma tumor is difficult, and therefore, it is imperative to develop new diagnostic imaging tools that could be able to identify glioma rapidly and reliably. In this study, we construct a free-spaced micro-optical coherence tomography (μOCT) system, which achieves a spatial resolution of 2.0 μm, for glioma imaging, and then, evaluate its capability for identifying the cellular/sub-cellular structures of glioma lesions. Imaging results demonstrate that the μOCT system is not only able to acquire cellular/sub-cellular glioma microstructure images, but it is also able to differentiate between the low-grade and high-grade glioma lesions with the three-dimensional (3D) tissue morphology appearances. The low system complexity enables μOCT to be integrated onto surgical pick tip and utilized as an intraoperative diagnostic tool, while the high-resolution imaging capability of μOCT could help neurosurgeons identify the interfaces between glioma lesions and non-cancerous tissues fast and reliably, and thus, help neurosurgeons make appropriate treatment decisions. Such results convincingly demonstrate the potential of μOCT for neurosurgery in clinical practice.
AB - Glioma is one of the most common types of central nervous system (CNS) tumor with an average survival of 1.5 to 2 years. One way to improve the patient survival is to identify and excise the glioma tumor precisely and completely to seek for subsequent treatment. Due to the system complexity and limited performances of the existing diagnostic tools, however, the identification of glioma tumor is difficult, and therefore, it is imperative to develop new diagnostic imaging tools that could be able to identify glioma rapidly and reliably. In this study, we construct a free-spaced micro-optical coherence tomography (μOCT) system, which achieves a spatial resolution of 2.0 μm, for glioma imaging, and then, evaluate its capability for identifying the cellular/sub-cellular structures of glioma lesions. Imaging results demonstrate that the μOCT system is not only able to acquire cellular/sub-cellular glioma microstructure images, but it is also able to differentiate between the low-grade and high-grade glioma lesions with the three-dimensional (3D) tissue morphology appearances. The low system complexity enables μOCT to be integrated onto surgical pick tip and utilized as an intraoperative diagnostic tool, while the high-resolution imaging capability of μOCT could help neurosurgeons identify the interfaces between glioma lesions and non-cancerous tissues fast and reliably, and thus, help neurosurgeons make appropriate treatment decisions. Such results convincingly demonstrate the potential of μOCT for neurosurgery in clinical practice.
KW - Central nervous system
KW - Glioma lesions
KW - Intraoperative diagnosis
KW - Micro-OCT
KW - Microstructure imaging
UR - http://www.scopus.com/inward/record.url?scp=85082007047&partnerID=8YFLogxK
U2 - 10.1109/IST48021.2019.9010090
DO - 10.1109/IST48021.2019.9010090
M3 - 会议稿件
AN - SCOPUS:85082007047
T3 - IST 2019 - IEEE International Conference on Imaging Systems and Techniques, Proceedings
BT - IST 2019 - IEEE International Conference on Imaging Systems and Techniques, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Imaging Systems and Techniques, IST 2019
Y2 - 8 December 2019 through 10 December 2019
ER -
