Evidence map›Paper›PMID 28188471›Full record

ArticleMedical & biological engineering & computing2017

Visualization of vascular injuries in extremity trauma.

Kwitae Chong, Chenfanfu Jiang, Daniel Ram, Anand Santhanam, Demetri Terzopoulos, Peyman Benharash, Erik Dutson, Joseph Teran, Jeff D Eldredge

Abstract read
PubMed Publisher
In one paragraph

Article in Medical & biological engineering & computing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 98% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Kwitae ChongMechanical and Aerospace Engineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA. blueman17@ucla.edu.ORCID http://orcid.org/0000-0002-6932-2230
Chenfanfu JiangComputer Science, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Daniel RamMathematics, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Anand SanthanamRadiation Oncology, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Demetri TerzopoulosComputer Science, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Peyman BenharashSurgery, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Erik DutsonSurgery, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Joseph TeranMathematics, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Jeff D EldredgeMechanical and Aerospace Engineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
University of California, Los Angeles · US

Funding

Office of Naval Research N00014-13- C-0357
6 · The paper itself

Abstract

A tandem of particle-based computational methods is adapted to simulate injury and hemorrhage in the human body. In order to ensure anatomical fidelity, a three-dimensional model of a targeted portion of the human body is reconstructed from a dense sequence of CT scans of an anonymized patient. Skin, bone and muscular tissue are distinguished in the imaging data and assigned with their respective material properties. An injury geometry is then generated by simulating the mechanics of a ballistic projectile passing through the anatomical model with the material point method. From the injured vascular segments identified in the resulting geometry, smoothed particle hydrodynamics (SPH) is employed to simulate bleeding, based on inflow boundary conditions obtained from a network model of the systemic arterial tree. Computational blood particles interact with the stationary particles representing impermeable bone and skin and permeable muscular tissue through the Brinkman equations for porous media. The SPH results are rendered in post-processing for improved visual fidelity. The overall simulation strategy is demonstrated on an injury scenario in the lower leg.

Indexed as

ComputersComputer SimulationHemorrhageHumansHydrodynamicsLegModels, AnatomicVascular System InjuriesWounds and InjuriesCardiovascular tree modelHemorrhage simulationInjury biomechanicsMaterial point methodSmoothed particle hydrodynamics

Identifiers

PMID28188471
OpenAlexW2586210977

What OpenQuestion holds

Textmetadata
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.