Related Experiment Video
Updated: Jul 23, 2025
Minimally Invasive Cisterna Magna Injection Model for Leptomeningeal Metastasis Studies in Mice
Published on: May 23, 2025
Automatic and label-free detection of meningioma in dura mater using the combination of multiphoton microscopy and
Na Fang1, Zanyi Wu2, Rong Chen1
1Fujian Medical University, Department of Ophthalmology and Optometry, Fuzhou, China.
Significance:
To prevent meningioma recurrence, it is necessary to detect and remove all corresponding tumors intraoperatively, including those in the adjacent dura mater.
Aim:
Currently, the removal of meningiomas from the dura mater depends solely on cautious visual identification of lesions by a neurosurgeon. Inspired by the requirements for resection, we propose multiphoton microscopy (MPM) based on two-photon-excited fluorescence and second-harmonic generation as a histopathological diagnostic paradigm to assist neurosurgeons in achieving precise and complete resection.
Approach:
Seven fresh normal human dura mater samples and 10 meningioma-infiltrated dura mater samples, collected from 10 patients with meningioma, were acquired for this study. First, multi-channel mode and lambda mode detection were utilized in the MPM to characterize the architectural and spectral features of normal and meningioma-infiltrated dura mater, respectively. Three imaging algorithms were then employed to quantify the architectural differences between the normal and meningioma-infiltrated dura mater through calculations of the collagen content, orientation, and alignment. Finally, MPM was combined with another custom-developed imaging algorithm to locate the meningioma within the dura mater and further delineate the tumor boundary.
Results:
MPM not only detected meningioma cells in the dura mater but also revealed the morphological and spectral differences between normal and meningioma-infiltrated dura mater, providing quantitative information. Furthermore, combined with a self-developed image-processing algorithm, the precise borders of meningiomas in the dura mater could be accurately delineated.
Conclusions:
MPM can automatically detect meningiomas in the dura mater label-free. With the development of advanced multiphoton endoscopy, MPM combined with image analysis can provide decision-making support for histopathological diagnosis, as well as offer neurosurgeons more precise intraoperative resection guidance for meningiomas.
Insights
Multiphoton microscopy (MPM) can automatically detect meningioma cells in the dura mater without labels. This advanced imaging technique aids neurosurgeons in achieving precise intraoperative resection of meningiomas.
Area of Science:
- Neuroscience
- Oncology
- Medical Imaging
Background:
- Meningioma recurrence necessitates complete intraoperative tumor removal, including infiltration into the dura mater.
- Current dural meningioma resection relies on visual identification, posing challenges for complete tumor extirpation.
Purpose of the Study:
- To introduce multiphoton microscopy (MPM) as a histopathological diagnostic tool for precise meningioma resection.
- To leverage MPM's capabilities for real-time, label-free detection and delineation of meningiomas within the dura mater.
Main Methods:
- MPM utilizing two-photon-excited fluorescence and second-harmonic generation was employed on human dura mater samples.
- Multi-channel and lambda mode detection characterized architectural and spectral features of normal and tumor-infiltrated dura.
- Image processing algorithms quantified collagen content, orientation, alignment, and delineated tumor boundaries.
Main Results:
- MPM successfully detected meningioma cells in the dura mater, revealing morphological and spectral differences from normal tissue.
- Quantitative analysis of collagen and architectural features distinguished between normal and infiltrated dura mater.
- A custom algorithm accurately delineated meningioma borders within the dura mater.
Conclusions:
- MPM offers label-free, automated detection of meningiomas in the dura mater.
- Combined with advanced imaging analysis, MPM provides decision support for histopathological diagnosis and enhances intraoperative resection guidance for meningiomas.
