Evidence map›Paper›PMID 26650721›Full record

ArticlePLoS computational biology2015

Morphological and Stress Vulnerability Indices for Human Coronary Plaques and Their Correlations with Cap Thickness and Lipid Percent: An IVUS-Based Fluid-Structure Interaction Multi-patient Study.

Liang Wang, Jie Zheng, Akiko Maehara, Chun Yang, Kristen L Billiar, Zheyang Wu, Richard Bach, David Muccigrosso, Gary S Mintz, Dalin Tang

Abstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

18 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

10 authors.

Liang WangMathematical Sciences Department, Worcester Polytechnic Institute, Massachusetts, United States of America.
Jie ZhengMallinckrodt Institute of Radiology, Washington University, St. Louis, Missouri, United States of America.
Akiko MaeharaThe Cardiovascular Research Foundation, New York, New York, United States of America.
Chun YangMathematical Sciences Department, Worcester Polytechnic Institute, Massachusetts, United States of America.
Kristen L BilliarBiomedical Engineering Department, Worcester Polytechnic Institute, Worcester, Massachusetts, United States of America.
Zheyang WuMathematical Sciences Department, Worcester Polytechnic Institute, Massachusetts, United States of America.
Richard BachCardiovascular Division, Washington University School of Medicine, St. Louis, Missouri, United States of America.
David MuccigrossoMallinckrodt Institute of Radiology, Washington University, St. Louis, Missouri, United States of America.
Gary S MintzThe Cardiovascular Research Foundation, New York, New York, United States of America.
Dalin TangMathematical Sciences Department, Worcester Polytechnic Institute, Massachusetts, United States of America.

Funding

In Vivo IVUS Image-Based Modeling for Human Coronary Plaque AssessmentR01EB004759 · NIBIB · WORCESTER POLYTECHNIC INSTITUTE · PI TANG, DALIN, ZHENG, JIE · 2004 to 2013
$2.4M
NIBIB NIH HHS R01 EB004759
6 · The paper itself

Abstract

Plaque vulnerability, defined as the likelihood that a plaque would rupture, is difficult to quantify due to lack of in vivo plaque rupture data. Morphological and stress-based plaque vulnerability indices were introduced as alternatives to obtain quantitative vulnerability assessment. Correlations between these indices and key plaque features were investigated. In vivo intravascular ultrasound (IVUS) data were acquired from 14 patients and IVUS-based 3D fluid-structure interaction (FSI) coronary plaque models with cyclic bending were constructed to obtain plaque wall stress/strain and flow shear stress for analysis. For the 617 slices from the 14 patients, lipid percentage, min cap thickness, critical plaque wall stress (CPWS), strain (CPWSn) and flow shear stress (CFSS) were recorded, and cap index, lipid index and morphological index were assigned to each slice using methods consistent with American Heart Association (AHA) plaque classification schemes. A stress index was introduced based on CPWS. Linear Mixed-Effects (LME) models were used to analyze the correlations between the mechanical and morphological indices and key morphological factors associated with plaque rupture. Our results indicated that for all 617 slices, CPWS correlated with min cap thickness, cap index, morphological index with r = -0.6414, 0.7852, and 0.7411 respectively (p<0.0001). The correlation between CPWS and lipid percentage, lipid index were weaker (r = 0.2445, r = 0.2338, p<0.0001). Stress index correlated with cap index, lipid index, morphological index positively with r = 0.8185, 0.3067, and 0.7715, respectively, all with p<0.0001. For all 617 slices, the stress index has 66.77% agreement with morphological index. Morphological and stress indices may serve as quantitative plaque vulnerability assessment supported by their strong correlations with morphological features associated with plaque rupture. Differences between the two indices may lead to better plaque assessment schemes when both indices were jointly used with further validations from clinical studies.

Identifiers

PMID26650721
PMCPMC4674138

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.