Evidence map›Paper›PMID 32451814›Full record

ArticleInternational journal of computer assisted radiology and surgery2020

Evaluation of multi-wavelengths LED-based photoacoustic imaging for maximum safe resection of glioma: a proof of concept study.

E Najafzadeh, H Ghadiri, M Alimohamadi, P Farnia, M Mehrmohammadi, A Ahmadian

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. DDiagnostics (Basel, Switzerland) · 2024
    Article
  3. Article
  4. Article
  5. Brain & spine · 2022
    Review
  6. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

E NajafzadehDepartment of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.
H GhadiriDepartment of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.
M AlimohamadiBrain and Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
P FarniaDepartment of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.
M MehrmohammadiDepartment of Biomedical Engineering, Wayne State University, Detroit, USA.
A AhmadianDepartment of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran. ahmadian@sina.tums.ac.ir.
Tehran University of Medical Sciences · IRWayne State University · US

Funding

Tehran University of Medical Sciences and Health Services Tehran University of Medical Sciences under grant number 32952Tehran University of Medical Sciences and Health Services This work was supported by the Faculty of Medicine
6 · The paper itself

Abstract

purposeA real-time intra-operative imaging modality is required to update the navigation systems during neurosurgery, since precise localization and safe maximal resection of gliomas are of utmost clinical importance. Different intra-operative imaging modalities have been proposed to delineate the resection borders, each with advantages and disadvantages. This preliminary study was designed to simulate the photoacoustic imaging (PAI) to illustrate the brain tumor margin vessels for safe maximal resection of glioma.

methodsIn this study, light emitting diode (LED)-based PAI was selected because of its lower cost, compact size and ease of use. We developed a simulation framework based on multi-wavelength LED-based PAI to further facilitate PAI during neurosurgery. This framework considers a multilayer model of the tumoral and normal brain tissue. The simulation of the optical fluence and absorption map in tissue at different depths was computed by Monte Carlo. Then, the propagation of initial photoacoustic pressure was simulated by using k-wave toolbox.

resultsTo evaluate the LED-based PAI, we used three evaluation criteria: signal-to-noise ratio (SNR), contrast ratio (CR) and full width of half maximum (FWHM). Results showed that by using proper wavelengths, the vessels were recovered with the same axial and lateral FWHM. Furthermore, by increasing the wavelength from 532 to 1064 nm, SNR and CR were increased in the deep region. The results showed that vessels with larger diameters at same wavelength have a higher CR with average improvement 28%.

conclusionMulti-wavelength LED-based PAI provides detailed images of the blood vessels which are crucial for detection of the residual glioma: The longer wavelengths like 1064 nm can be used for the deeper tumor margins, and the shorter wavelengths like 532 nm for tumor margins closer to the surface. LED-based PAI may be considered as a promising intra-operative imaging modality to delineate tumor margins.

Indexed as

AlgorithmsBrainBrain NeoplasmsComputer SimulationContrast MediaGliomaHumansImage Processing, Computer-AssistedIntraoperative PeriodLightMargins of ExcisionModels, TheoreticalMonte Carlo MethodPhotoacoustic TechniquesPhotonsProof of Concept StudyContrast MediaGliomaIntra-operative imagingLED-based photoacoustic imagingMaximal safe resectionMulti-wavelength imaging

Identifiers

PMID32451814
OpenAlexW3029920863

What OpenQuestion holds

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Registered trials

None linked

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.