Evidence map›Paper›PMID 38255304›Full record

ArticleBiomedicines2024

A Quantitative Method for the Evaluation of Deep Vein Thrombosis in a Murine Model Using Three-Dimensional Ultrasound Imaging.

Yanjun Xie, Yi Huang, Hugo C S Stevenson, Li Yin, Kaijie Zhang, Zain Husain Islam, William Aaron Marcum, Campbell Johnston, Nicholas Hoyt, Eric William Kent and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

12 authors at 1 institution in 1 country.

Yanjun XieDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA.
Yi HuangDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA.
Hugo C S StevensonDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA.
Li YinDepartment of Surgery, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA.
Kaijie ZhangDepartment of Surgery, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA.
Zain Husain IslamDepartment of Surgery, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA.
William Aaron MarcumDepartment of Surgery, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA.
Campbell JohnstonDepartment of Surgery, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA.
Nicholas HoytDepartment of Surgery, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA.
Eric William KentDepartment of Surgery, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA.
Bowen WangDepartment of Surgery, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA.ORCID 0000-0003-1378-6594
John A HossackDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA.
University of Virginia · US

Funding

Accelerated Low Dose Thrombolytic Catheter Directed SonothrombolysisR01HL141752 · NHLBI · UNIVERSITY OF VIRGINIA · PI HOSSACK, JOHN A · 2018 to 2021
$2.0M
NHLBI NIH HHS R01 HL141752NIH HHS R01 HL141752
6 · The paper itself

Abstract

Deep vein thrombosis (DVT) is a life-threatening condition that can lead to its sequelae pulmonary embolism (PE) or post-thrombotic syndrome (PTS). Murine models of DVT are frequently used in early-stage disease research and to assess potential therapies. This creates the need for the reliable and easy quantification of blood clots. In this paper, we present a novel high-frequency 3D ultrasound approach for the quantitative evaluation of the volume of DVT in an in vitro model and an in vivo murine model. The proposed method involves the use of a high-resolution ultrasound acquisition system and semiautomatic segmentation of the clot. The measured 3D volume of blood clots was validated to be correlated with in vitro blood clot weights with an R2 of 0.89. Additionally, the method was confirmed with an R2 of 0.91 in the in vivo mouse model with a cylindrical volume from macroscopic measurement. We anticipate that the proposed method will be useful in pharmacological or therapeutic studies in murine models of DVT.

Indexed as

3D ultrasounddeep vein thrombosisDoppler ultrasoundpulmonary embolismvenous thromboembolism

Identifiers

PMID38255304
PMCPMC11154521
OpenAlexW4390933812

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.