Evidence map›Paper›PMID 29500737›Full record

ArticleMedical & biological engineering & computing2018

A Lagrangian cylindrical coordinate system for characterizing dynamic surface geometry of tubular anatomic structures.

Torbjörn Lundh, Ga-Young Suh, Phillip DiGiacomo, Christopher Cheng

Abstract read
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In one paragraph

Article in Medical & biological engineering & computing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

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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

4 citing papers in PubMed.

  1. Helical classification of type B aortic dissections.JTCVS structural and endovascular · 2025
    Article
  2. Article
  3. Article
  4. Impact of Stenting on PDA Length, Curvature, and Pulsatile Deformations Based on CT Assessment.Journal of the Society for Cardiovascular Angiography & Interventions
    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

4 authors.

Torbjörn LundhDivision of Vascular Surgery, Stanford University, Stanford, CA, USA. torbjorn.lundh@chalmers.se.ORCID http://orcid.org/0000-0001-7081-1384
Ga-Young SuhDivision of Vascular Surgery, Stanford University, Stanford, CA, USA.
Phillip DiGiacomoDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Christopher ChengDivision of Vascular Surgery, Stanford University, Stanford, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vascular morphology characterization is useful for disease diagnosis, risk stratification, treatment planning, and prediction of treatment durability. To quantify the dynamic surface geometry of tubular-shaped anatomic structures, we propose a simple, rigorous Lagrangian cylindrical coordinate system to monitor well-defined surface points. Specifically, the proposed system enables quantification of surface curvature and cross-sectional eccentricity. Using idealized software phantom examples, we validate the method's ability to accurately quantify longitudinal and circumferential surface curvature, as well as eccentricity and orientation of eccentricity. We then apply the method to several medical imaging data sets of human vascular structures to exemplify the utility of this coordinate system for analyzing morphology and dynamic geometric changes in blood vessels throughout the body. Graphical abstract Pointwise longitudinal curvature of a thoracic aortic endograft surface for systole and diastole, with their absolute difference.

Indexed as

AlgorithmsBlood VesselsDatabases as TopicDiastoleHumansImaging, Three-DimensionalModels, AnatomicPhantoms, ImagingSoftwareSurface PropertiesSystoleTomography, X-Ray ComputedCylindrical coordinatesEccentricityLagrangianSurface curvatureVascular system

Identifiers

PMID29500737
PMCPMC6096747

What OpenQuestion holds

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Registered trials

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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.