Evidence map›Paper›PMID 39559779›Full record

ArticleIEEE open journal of engineering in medicine and biology2024

Microbubble Contrast Agents Improve Detection of Active Hemorrhage.

Scott Schoen, Alexis Prasov, Ion Candel, Saaid Arshad, Mark Ottensmeyer, Theodore T Pierce, Laura J Brattain, Brian A Telfer, Anthony E Samir

Abstract read
In one paragraph

Article in IEEE open journal of engineering in medicine and biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Endovascular Localization of Aortic Injury in a Porcine Model.IEEE open journal of engineering in medicine and biology · 2025
    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

9 authors.

Scott SchoenCenter for Ultrasound Research and TranslationHarvard Medical School and Massachusetts General Hospital Boston MA 02114 USA.ORCID https://orcid.org/0000-0001-7195-2883
Alexis PrasovMIT Lincoln Laboratory Lexington MA 02421 USA.
Ion CandelCenter for Ultrasound Research and TranslationHarvard Medical School and Massachusetts General Hospital Boston MA 02114 USA.
Saaid ArshadMIT Lincoln Laboratory Lexington MA 02421 USA.
Mark OttensmeyerCenter for Ultrasound Research and TranslationHarvard Medical School and Massachusetts General Hospital Boston MA 02114 USA.ORCID https://orcid.org/0000-0001-8886-4556
Theodore T PierceCenter for Ultrasound Research and TranslationHarvard Medical School and Massachusetts General Hospital Boston MA 02114 USA.ORCID https://orcid.org/0000-0003-3244-0994
Laura J BrattainUniversity of Central Florida Orlando FL 32816 USA.
Brian A TelferMIT Lincoln Laboratory Lexington MA 02421 USA.ORCID https://orcid.org/0000-0002-3534-7149
Anthony E SamirCenter for Ultrasound Research and TranslationHarvard Medical School and Massachusetts General Hospital Boston MA 02114 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessment of trauma-induced hemorrhage with ultrasound is particularly challenging outside of the clinic, where its detection is crucial. The current clinical standard for hematoma detection - the focused assessment with sonography of trauma (FAST) exam - does not aim to detect ongoing blood loss, and thus is unable to detect injuries of increasing severity. To enhance detection of active bleeding, we propose the use of ultrasound contrast agents (UCAs), together with a novel flow phantom and contrast-sensitive processing techniques, to facilitate efficient, practical characterization of internal bleeding. Within a the custom phantom, UCAs and processing techniques enabled a significant enhancement of the hemorrhage visualization (mean increase in generalized contrast-to-noise ratio of 17%) compared to the contrast-free case over a range of flow rates up to 40 ml/min. Moreover, we have shown that the use of UCAs improves the probability of detection: the area under the receiver operating characteristic curve for a flow rate of 40 ml/min was 0.99, compared to 0.72 without contrast. We also demonstrate how additional processing of the spatial and temporal information further localizes the bleeding site. UCAs also enhanced Doppler signals over the non-contrast case. These results show that specialized nonlinear processing (NLP) pipelines together with UCAs may offer an efficient means to improve substantially the detection of slower hemorrhages and increase survival rates for trauma-induced injury in pre-hospital settings.

Indexed as

contrast agentsdopplerhemorrhageTraumaultrasound

Identifiers

PMID39559779
PMCPMC11573402

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.