Evidence map›Paper›PMID 31710771›Full record

ArticleJournal of biophotonics2020

Full-field swept-source optical coherence tomography and neural tissue classification for deep brain imaging.

Ilan Felts Almog, Fu-Der Chen, Suhan Senova, Anton Fomenko, Elise Gondard, Wesley D Sacher, Andres M Lozano, Joyce K S Poon

Abstract read
In one paragraph

Article in Journal of biophotonics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Heliyon · 2023
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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

8 authors.

Ilan Felts AlmogEdward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada.
Fu-Der ChenEdward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-5482-2884
Suhan SenovaKrembil Research Institute, Toronto Western Hospital, Toronto, Ontario, Canada.
Anton FomenkoKrembil Research Institute, Toronto Western Hospital, Toronto, Ontario, Canada.ORCID 0000-0003-4131-6784
Elise GondardKrembil Research Institute, Toronto Western Hospital, Toronto, Ontario, Canada.
Wesley D SacherEdward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada.
Andres M LozanoKrembil Research Institute, Toronto Western Hospital, Toronto, Ontario, Canada.
Joyce K S PoonEdward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical coherence tomography can differentiate brain regions with intrinsic contrast and at a micron scale resolution. Such a device can be particularly useful as a real-time neurosurgical guidance tool. We present, to our knowledge, the first full-field swept-source optical coherence tomography system operating near a wavelength of 1310 nm. The proof-of-concept system was integrated with an endoscopic probe tip, which is compatible with deep brain stimulation keyhole neurosurgery. Neuroimaging experiments were performed on ex vivo brain tissues and in vivo in rat brains. Using classification algorithms involving texture features and optical attenuation, images were successfully classified into three brain tissue types.

Indexed as

AlgorithmsTomography, Optical CoherenceBrainNeuroimagingimage processingmachine learningoptical coherence tomographyoptical devicessurgical instruments

Identifiers

PMID31710771
PMCPMC7065632

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.