Evidence map›Paper›PMID 28741043›Full record

ArticleMolecular imaging and biology2018

Comparison of Near-Infrared Imaging Camera Systems for Intracranial Tumor Detection.

Steve S Cho, Ryan Zeh, John T Pierce, Ryan Salinas, Sunil Singhal, John Y K Lee

Open access · greenAbstract readComparative Study
In one paragraph

Article in Molecular imaging and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

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  6. Editorial: Nano-Imaging in Translational Cancer Medicine.Frontiers in bioengineering and biotechnology · 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

6 authors at 2 institutions in 1 country.

Steve S ChoDepartment of Neurosurgery, Hospital of the University of Pennsylvania, 235 South Eighth Street, Philadelphia, PA, 19106, USA.
Ryan ZehDepartment of Neurosurgery, Hospital of the University of Pennsylvania, 235 South Eighth Street, Philadelphia, PA, 19106, USA.
John T PierceDepartment of Neurosurgery, Hospital of the University of Pennsylvania, 235 South Eighth Street, Philadelphia, PA, 19106, USA.
Ryan SalinasDepartment of Neurosurgery, Hospital of the University of Pennsylvania, 235 South Eighth Street, Philadelphia, PA, 19106, USA.
Sunil SinghalDepartment of Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
John Y K LeeDepartment of Neurosurgery, Hospital of the University of Pennsylvania, 235 South Eighth Street, Philadelphia, PA, 19106, USA. leejohn@uphs.upenn.edu.
Hospital of the University of Pennsylvania · USUniversity of Pennsylvania · US

Funding

Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
Near infrared intraoperative molecular imaging of lung adenocarcinomaR01CA193556 · NCI · UNIVERSITY OF PENNSYLVANIA · PI LOW, PHILIP STEWART, SINGHAL, SUNIL · 2016 to 2020
$3.3M
NCATS NIH HHS UL1 TR000003NCI NIH HHS R01 CA193556
6 · The paper itself

Abstract

purposeDistinguishing neoplasm from normal brain parenchyma intraoperatively is critical for the neurosurgeon. 5-Aminolevulinic acid (5-ALA) has been shown to improve gross total resection and progression-free survival but has limited availability in the USA. Near-infrared (NIR) fluorescence has advantages over visible light fluorescence with greater tissue penetration and reduced background fluorescence. In order to prepare for the increasing number of NIR fluorophores that may be used in molecular imaging trials, we chose to compare a state-of-the-art, neurosurgical microscope (System 1) to one of the commercially available NIR visualization platforms (System 2). PROCEDURES: Serial dilutions of indocyanine green (ICG) were imaged with both systems in the same environment. Each system's sensitivity and dynamic range for NIR fluorescence were documented and analyzed. In addition, brain tumors from six patients were imaged with both systems and analyzed.

resultsIn vitro, System 2 demonstrated greater ICG sensitivity and detection range (System 1 1.5-251 μg/l versus System 2 0.99-503 μg/l). Similarly, in vivo, System 2 demonstrated signal-to-background ratio (SBR) of 2.6 ± 0.63 before dura opening, 5.0 ± 1.7 after dura opening, and 6.1 ± 1.9 after tumor exposure. In contrast, System 1 could not easily detect ICG fluorescence prior to dura opening with SBR of 1.2 ± 0.15. After the dura was reflected, SBR increased to 1.4 ± 0.19 and upon exposure of the tumor SBR increased to 1.8 ± 0.26.

conclusionDedicated NIR imaging platforms can outperform conventional microscopes in intraoperative NIR detection. Future microscopes with improved NIR detection capabilities could enhance the use of NIR fluorescence to detect neoplasm and improve patient outcome.

Indexed as

Infrared RaysOptical ImagingAdultAgedBrain NeoplasmsBreast NeoplasmsFemaleHumansIndocyanine GreenMaleMiddle AgedPhotographyIndocyanine GreenBrain tumorComparisonFluorescenceImagingNear-infrared

Identifiers

PMID28741043
PMCPMC11145178
OpenAlexW2738932882

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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.