Evidence map›Paper›PMID 31245380›Full record

ReviewFrontiers in surgery2019

Quantitative Wide-Field Imaging Techniques for Fluorescence Guided Neurosurgery.

Pablo A Valdes, Parikshit Juvekar, Nathalie Y R Agar, Sylvain Gioux, Alexandra J Golby

Abstract readReview
In one paragraph

Review in Frontiers in surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  18. Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2022
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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

5 authors.

Pablo A ValdesDepartment of Neurosurgery, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States.
Parikshit JuvekarDepartment of Neurosurgery, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States.
Nathalie Y R AgarDepartment of Neurosurgery, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States.
Sylvain GiouxICube Laboratory, University of Strasbourg, Télécom Physique Strasbourg, Alsace, France.
Alexandra J GolbyDepartment of Neurosurgery, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescence guided surgery (FGS) has fueled the development of novel technologies aimed at maximizing the utility of fluorescence imaging to help clinicians diagnose and in certain cases treat diseases across a breadth of disciplines such as dermatology, gynecology, oncology, ophthalmology, and neurosurgery. In neurosurgery, the goal of FGS technologies is to provide the neurosurgeon with additional information which can serve as a visual aid to better identify tumor tissue and associated margins. Yet, current clinical FGS technologies are qualitative in nature, limiting the ability to make accurate, reliable, and repeatable measurements. To this end, developments in fluorescence quantification are needed to overcome current limitations of FGS. Here we present an overview of the recent developments in quantitative fluorescence guidance technologies and conclude with the most recent developments aimed at wide-field quantitative fluorescence imaging approaches in neurosurgery.

Indexed as

brain tumorsfluorescence-guided surgeryprotoporphyrin IXquantitative fluorescence imagingtissue optical properties

Identifiers

PMID31245380
PMCPMC6563771

What OpenQuestion holds

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Registered trials

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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.