ArticleJournal of biophotonics2019
Quantitative subsurface spatial frequency-domain fluorescence imaging for enhanced glioma resection.
Article in Journal of biophotonics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Deep learning-enabled fluorescence imaging for oral cancer margin classification in preclinical models.Journal of biomedical optics · 2025Article
- Deep learning-enabled fluorescence imaging for surgical guidance:Journal of biomedical optics · 2025Article
- Depth-resolved imaging of photosensitizer in the rodent brain using fluorescence laminar optical tomography.Journal of biomedical optics · 2020Article
- Investigation of non-uniformly emitting optical fiber diffusers on the light distribution in tissue.Biomedical optics express · 2020Article
- Review of clinical trials in intraoperative molecular imaging during cancer surgery.Journal of biomedical optics · 2019Review
- Spatial frequency domain imaging in 2019: principles, applications, and perspectives.Journal of biomedical optics · 2019Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The rate of complete resection of glioma has improved with the introduction of 5-aminolevulinic acid-induced protoporphyrin IX (PpIX) fluorescence image guidance. Surgical outcomes are further enhanced when the fluorescence signal is decoupled from the intrinsic tissue optical absorption and scattering obtained from diffuse reflectance measurements, yielding the absolute PpIX concentration, [PpIX]. Spatial frequency domain imaging was used previously to measure [PpIX] in near-surface tumors under blue fluorescence excitation. Here, we extend this to subsurface [PpIX] fluorescence under red-light excitation. The decay rate of the modulation amplitude of the fluorescence signal was used to calculate the PpIX depth, which was then applied in a forward diffusion model to estimate [PpIX] at depth. For brain-like optical properties in phantoms with PpIX fluorescent inclusions, the depth can be recovered up to depths of 9.5 mm ± 0.4 mm, with [PpIX] ranging from 5 to 15 μg/mL within an average deviation of 15% from the true [PpIX] value.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.