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Intraoperative microscopic autofluorescence detection and characterization in brain tumors using stimulated Raman histology and two-photon fluorescence.
Front. Oncol. 13:1146031 (2023)
INTRODUCTION: The intrinsic autofluorescence of biological tissues interferes with the detection of fluorophores administered for fluorescence guidance, an emerging auxiliary technique in oncological surgery. Yet, autofluorescence of the human brain and its neoplasia is sparsely examined. This study aims to assess autofluorescence of the brain and its neoplasia on a microscopic level by stimulated Raman histology (SRH) combined with two-photon fluorescence. METHODS: With this experimentally established label-free microscopy technique unprocessed tissue can be imaged and analyzed within minutes and the process is easily incorporated in the surgical workflow. In a prospective observational study, we analyzed 397 SRH and corresponding autofluorescence images of 162 samples from 81 consecutive patients that underwent brain tumor surgery. Small tissue samples were squashed on a slide for imaging. SRH and fluorescence images were acquired with a dual wavelength laser (790 nm and 1020 nm) for excitation. In these images tumor and non-tumor regions were identified by a convolutional neural network that reliably differentiates between tumor, healthy brain tissue and low quality SRH images. The identified areas were used to define regions.of- interests (ROIs) and the mean fluorescence intensity was measured. RESULTS: In healthy brain tissue, we found an increased mean autofluorescence signal in the gray (11.86, SD 2.61, n=29) compared to the white matter (5.99, SD 5.14, n=11, p<0.01) and in the cerebrum (11.83, SD 3.29, n=33) versus the cerebellum (2.82, SD 0.93, n=7, p<0.001), respectively. The signal of carcinoma metastases, meningiomas, gliomas and pituitary adenomas was significantly lower (each p<0.05) compared to the autofluorescence in the cerebrum and dura, and significantly higher (each p<0.05) compared to the cerebellum. Melanoma metastases were found to have a higher fluorescent signal (p<0.01) compared to cerebrum and cerebellum. DISCUSSION: In conclusion we found that autofluorescence in the brain varies depending on the tissue type and localization and differs significantly among various brain tumors. This needs to be considered for interpreting photon signal during fluorescence-guided brain tumor surgery.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Artificial Intelligence ; Autofluorescence ; Brain Tumor ; Fluorescence-guided Surgery (fgs) ; Stimulated Raman Histology; Spectroscopy; Lipofuscin
ISSN (print) / ISBN
2234-943X
e-ISSN
2234-943X
Journal
Frontiers in Oncology
Quellenangaben
Volume: 13,
Article Number: 1146031
Publisher
Frontiers
Publishing Place
Avenue Du Tribunal Federal 34, Lausanne, Ch-1015, Switzerland
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Helmholtz Pioneer Campus (HPC)
Grants
BMBF (BetterView)
CZI Deep Tissue Imaging
National Center for Tumor Diseases Dresden (NCT/UCC Dresden)
Helmholtz Zentrum Muenchen
German Head and Neck Tumor Research Foundation
Joachim Herz fellowship for interdisciplinary life science
DFG (German Research Foundation
CZI Deep Tissue Imaging
National Center for Tumor Diseases Dresden (NCT/UCC Dresden)
Helmholtz Zentrum Muenchen
German Head and Neck Tumor Research Foundation
Joachim Herz fellowship for interdisciplinary life science
DFG (German Research Foundation