Evidence map›Paper›PMID 21976458›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2011

In vivo flow cytometry of circulating clots using negative photothermal and photoacoustic contrasts.

Ekaterina I Galanzha, Mustafa Sarimollaoglu, Dmitry A Nedosekin, Salah G Keyrouz, Jawahar L Mehta, Vladimir P Zharov

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05301348 (In Vivo Detection of Circulating Clots in Patients With Thromboembolism), which is not on this map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.7field-weighted citation impact, top 7% 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.

NCT05301348 narecruitingnot on this mapstarted 2023, after this paper: background citation

In Vivo Detection of Circulating Clots in Patients With Thromboembolism

TypeinterventionalSponsorUniversity of ArkansasRan2023 to 2027Enrolled30ConditionsThromboembolismArmsPhotoacoustic Flow Cytometry
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Detection of Apoptotic Circulating Tumor Cells Using in vivo Fluorescence Flow Cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2019
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Tutorial on photoacoustic tomography.Journal of biomedical optics · 2016
    Review
  17. Analytical cellular pathology (Amsterdam) · 2016
    Article
  18. Article
  19. 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 at 1 institution in 1 country.

Ekaterina I GalanzhaPhillips Classic Laser and Nanomedicine Laboratories, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA.
Mustafa Sarimollaoglu
Dmitry A Nedosekin
Salah G Keyrouz
Jawahar L Mehta
Vladimir P Zharov
University of Arkansas for Medical Sciences · US

Funding

In vivo real-time detection of circulating melanoma cellsR01CA131164 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI SUEN, JAMES · 2009 to 2019
$3.1M
Multifunctional nanotubes for in vivo detecting/purging circulating cancer cellsR01EB009230 · NIBIB · UNIV OF ARKANSAS FOR MED SCIS · PI ZHAROV, VLADIMIR P · 2009 to 2012
$1.2M
Photothermal Imaging of Live CellsR01EB000873 · NIBIB · UNIV OF ARKANSAS FOR MED SCIS · PI ZHAROV, VLADIMIR P · 2005 to 2008
$1.1M
In vivo molecular laser detection and treatment of circulating cancer stem cellsR21CA139373 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI ZHAROV, VLADIMIR P · 2009 to 2010
$329k
NCI NIH HHS R01 CA131164NCI NIH HHS R01CA131164NCI NIH HHS R21 CA139373NCI NIH HHS R21CA139373NIBIB NIH HHS R01EB000873NIBIB NIH HHS R01 EB009230
6 · The paper itself

Abstract

Conventional photothermal (PT) and photoacousic (PA) imaging, spectroscopy, and cytometry are preferentially based on positive PT/PA effects, when signals are above background. Here, we introduce PT/PA technique based on detection of negative signals below background. Among various new applications, we propose label-free in vivo flow cytometry of circulating clots. No method has been developed for the early detection of clots of different compositions as a source of thromboembolism including ischemia at strokes and myocardial infarction. When a low-absorbing, platelet-rich clot passes a laser-irradiated vessel volume, a transient decrease in local absorption results in an ultrasharp negative PA hole in blood background. Using this phenomenon alone or in combination with positive contrasts, we demonstrated identification of white, red, and mixed clots on a mouse model of myocardial infarction and human blood. The concentration and size of clots were measured with threshold down to few clots in the entire circulation with size as low as 20 μm. This multiparameter diagnostic platform using portable personal high-speed flow cytometer with negative dynamic contrast mode has potential to real-time defining risk factors for cardiovascular diseases, and for prognosis and prevention of stroke or use clot count as a marker of therapy efficacy. Possibility for label-free detection of platelets, leukocytes, tumor cells or targeting themby negative PA probes (e.g., nonabsorbing beads or bubbles) is also highlighted.

Indexed as

Blood CoagulationAnimalsBlood PlateletsCarotid ArteriesDisease Models, AnimalEarly DiagnosisFlow CytometryFluoresceinsFluorescent DyesHumansMesenteryMiceMice, NudeMolecular ImagingMyocardial InfarctionPhotoacoustic Techniques5-(6)-carboxyfluorescein diacetate succinimidyl esterFluoresceinsFluorescent DyesSuccinimides

Identifiers

PMID21976458
PMCPMC3366468
OpenAlexW1997312345

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.