Evidence map›Paper›PMID 30833671›Full record

ArticleScientific reports2019

In Vivo Flow Cytometry of Extremely Rare Circulating Cells.

Xuefei Tan, Roshani Patil, Peter Bartosik, Judith M Runnels, Charles P Lin, Mark Niedre

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  9. Two-color diffuseJournal of biomedical optics · 2024
    Article
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  18. Review
  19. Near-infrared diffuse in vivo flow cytometry.Journal of biomedical optics · 2022
    Article
  20. 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

6 authors.

Xuefei TanNortheastern University, Department of Electrical and Computer Engineering, Boston, MA, 02115, USA.
Roshani PatilNortheastern University, Department of Bioengineering, Boston, MA, 02115, USA.
Peter BartosikNortheastern University, Department of Bioengineering, Boston, MA, 02115, USA.
Judith M RunnelsCenter for Systems Biology and Wellman Center for Photomedicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.
Charles P LinCenter for Systems Biology and Wellman Center for Photomedicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.
Mark NiedreNortheastern University, Department of Electrical and Computer Engineering, Boston, MA, 02115, USA. m.niedre@northeastern.edu.

Funding

Ultra-Rare Cell In Vivo Flow CytometryR01HL124315 · NHLBI · NORTHEASTERN UNIVERSITY · PI NIEDRE, MARK JONATHAN · 2015 to 2018
$1.5M
NHLBI NIH HHS R01 HL124315
6 · The paper itself

Abstract

Circulating tumor cells (CTCs) are of great interest in cancer research, but methods for their enumeration remain far from optimal. We developed a new small animal research tool called "Diffuse in vivo Flow Cytometry" (DiFC) for detecting extremely rare fluorescently-labeled circulating cells directly in the bloodstream. The technique exploits near-infrared diffuse photons to detect and count cells flowing in large superficial arteries and veins without drawing blood samples. DiFC uses custom-designed, dual fiber optic probes that are placed in contact with the skin surface approximately above a major vascular bundle. In combination with a novel signal processing algorithm, DiFC allows counting of individual cells moving in arterial or venous directions, as well as measurement of their speed and depth. We show that DiFC allows sampling of the entire circulating blood volume of a mouse in under 10 minutes, while maintaining a false alarm rate of 0.014 per minute. In practice, this means that DiFC allows reliable detection of circulating cells below 1 cell per mL. Hence, the unique capabilities of DiFC are highly suited to biological applications involving very rare cell types such as the study of hematogenous cancer metastasis.

Indexed as

AlgorithmsAnimalsArteriesBlood Flow VelocityCell CountFlow CytometryFluorescent DyesMiceNeoplasm MetastasisNeoplastic Cells, CirculatingOptical FibersVeinsFluorescent Dyes

Identifiers

PMID30833671
PMCPMC6399281

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.