Evidence mapPaperPMID 25130446Full record

ArticleUltrasound in medicine & biology2014

Monitoring and staging abdominal aortic aneurysm disease with pulse wave imaging.

Sacha D Nandlall, Monica P Goldklang, Aubrey Kalashian, Nida A Dangra, Jeanine M D'Armiento, Elisa E Konofagou

Open access · greenAbstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.2field-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.

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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Mouse Cardiovascular Imaging.Current protocols · 2024
    Review
  2. Review
  3. Article
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  9. Cardiac and respiratory-gated volumetric murine ultrasound.The international journal of cardiovascular imaging · 2018
    Article
  10. Article
  11. Article
  12. Cardiovascular Imaging in Mice.Current protocols in mouse biology · 2016
    Article
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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.

Sacha D NandlallDepartment of Biomedical Engineering, Columbia University, New York, New York, USA.
Monica P GoldklangDepartment of Medicine, Columbia University, New York, New York, USA.
Aubrey KalashianDepartment of Biomedical Engineering, Columbia University, New York, New York, USA.
Nida A DangraDepartment of Biomedical Engineering, Columbia University, New York, New York, USA.
Jeanine M D'ArmientoDepartment of Medicine, Columbia University, New York, New York, USA.
Elisa E KonofagouDepartments of Biomedical Engineering and Radiology, Columbia University, New York, New York, USA. Electronic address: ek2191@columbia.edu.
Columbia University · US

Funding

NHLBI NIH HHS R01 HL098830NHLBI NIH HHS R01-HL098830
6 · The paper itself

Abstract

The abdominal aortic aneurysm (AAA) is a silent and often deadly vascular disease caused by the localized weakening of the arterial wall. Previous work has indicated that local changes in wall stiffness can be detected with pulse wave imaging (PWI), which is a non-invasive technique for tracking the propagation of pulse waves along the aorta at high spatial and temporal resolutions. The aim of this study was to assess the capability of PWI to monitor and stage AAA progression in a murine model of the disease. ApoE/TIMP-1 knockout mice (N = 18) were given angiotensin II for 30 days via subcutaneously implanted osmotic pumps. The suprarenal sections of the abdominal aortas were imaged every 2-3 d after implantation using a 30-MHz VisualSonics Vevo 770 with 15-μm lateral resolution. Pulse wave propagation was monitored at an effective frame rate of 8 kHz by using retrospective electrocardiogram gating and by performing 1-D cross-correlation on the radiofrequency signals to obtain the displacements induced by the waves. In normal aortas, the pulse waves propagated at constant velocities (2.8 ± 0.9 m/s, r(2) = 0.89 ± 0.11), indicating that the composition of these vessels was relatively homogeneous. In the mice that developed AAAs (N = 10), the wave speeds in the aneurysm sac were 45% lower (1.6 ± 0.6 m/s) and were more variable (r(2) = 0.66 ± 0.23). Moreover, the wave-induced wall displacements were at least 80% lower within the sacs compared with the surrounding vessel. Finally, in mice that developed fissures (N = 5) or ruptures (N = 3) at the sites of their AAA, higher displacements directed out of the lumen and with no discernible wave pattern (r(2) < 0.20) were observed throughout the cardiac cycle. These findings indicate that PWI can be used to distinguish normal murine aortas from aneurysmal, fissured and ruptured ones. Hence, PWI could potentially be used to monitor and stage human aneurysms by providing information complementary to standard B-mode ultrasound.

Indexed as

AnimalsAortic Aneurysm, AbdominalCardiac-Gated Imaging TechniquesDisease Models, AnimalDisease ProgressionImage Processing, Computer-AssistedMiceUltrasonographyAbdominal aortic aneurysmFissureHigh-frequency imagingMiceMotion estimationNormalized cross-correlationPulse wave velocityRegional pulse waveRuptureSpeckle trackingUltrasound imaging

Identifiers

PMID25130446
PMCPMC4157953
OpenAlexW2157544456

What Socratic holds

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LicenceTDM
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.