Evidence map›Paper›PMID 27286461›Full record

ArticleOncotarget2016

Dynamic fluorescent imaging with the activatable probe, γ-glutamyl hydroxymethyl rhodamine green in the detection of peritoneal cancer metastases: Overcoming the problem of dilution when using a sprayable optical probe.

Yuko Nakamura, Toshiko Harada, Tadanobu Nagaya, Kazuhide Sato, Shuhei Okuyama, Peter L Choyke, Hisataka Kobayashi

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Precision Surgery Guided by Intraoperative Molecular Imaging.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Review
  4. Review
  5. Article
  6. Article
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

7 authors at 2 institutions in 1 country.

Yuko NakamuraMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Toshiko HaradaMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Tadanobu NagayaMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Kazuhide SatoMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Shuhei OkuyamaMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Peter L ChoykeMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Hisataka KobayashiMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
National Cancer Institute · USCenter for Cancer Research · US

Funding

Growth Factor Imaging and PhotoimmunotherapyZIABC010656 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2009 to 2024
$31.6M
Activatable molecular cancer imaging probeZIABC011512 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KOBAYASHI, HISATAKA · 2013 to 2025
$2.7M
6 · The paper itself

Abstract

Optical fluorescence-guided imaging is increasingly used to guide surgery and endoscopic procedures. Activatable probes are particularly useful because of high target-to-background ratios that increase sensitivity for tiny cancer foci. However, green fluorescent activatable probes suffer from interference from autofluorescence found in biological tissue. The purpose of this study was to determine if dynamic imaging can be used to differentiate specific fluorescence arising from an activated probe in a tumor from autofluorescence in background tissues especially when low concentrations of the dye are applied. Serial fluorescence imaging was performed using various concentrations of γ-glutamyl hydroxymethyl rhodamine green (gGlu-HMRG) which was sprayed on the peritoneal surface with tiny implants of SHIN3-DsRed ovarian cancer tumors. Temporal differences in signal between specific green fluorescence in cancer foci and non-specific autofluorescence in background tissue were measured at 5, 10, 20 and 30 min after application of gGlu-HMRG and were processed into three kinetic maps reflecting maximum fluorescence signal (MF), wash-in rate (WIR), and area under the curve (AUC), respectively. Using concentrations up to 10 μM of gGlu-HMRG, the fluorescence intensity of cancer foci was significantly higher than that of small intestine but only at 30 min. However, on kinetic maps derived from dynamic fluorescence imaging, the signal of cancer foci was significantly higher than that of small intestine after only 5 min even at concentrations as low as 2.5 μM of gGlu-HMRG (p < 0.01). At lower concentrations, kinetic maps derived from dynamic fluorescence imaging were superior to unprocessed images for cancer detection.

Indexed as

AerosolsAnimalsCell Line, TumorCell TrackingDye Dilution TechniqueFemaleFluorescent Dyesgamma-GlutamyltransferaseHumansMiceMice, NudeOptical ImagingOvarian NeoplasmsPeritoneal NeoplasmsRhodaminesAerosolsFluorescent Dyesgamma-GlutamyltransferaseRhodaminesautofluorescencegreen emitting probekinetic mapperitoneal cancer metastasesγ-glutamyltranspeptidase

Identifiers

PMID27286461
PMCPMC5239463
OpenAlexW2417090450

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.