Evidence map›Paper›PMID 31995165›Full record

ArticleEuropean journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery2020

Mapping pre-dissection aortic wall abnormalities: a multiparametric assessment.

Ignas B Houben, Nitesh Nama, Frans L Moll, Joost A van Herwaarden, David A Nordsletten, David M Williams, Himanshu J Patel, C Alberto Figueroa, Nicholas S Burris

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In one paragraph

Article in European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
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  8. Imaging surveillance after open aortic repair: a feasibility study of three-dimensional growth mapping.European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery · 2021
    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 2 institutions in 2 countries.

Ignas B HoubenDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA.
Nitesh NamaDepartment of Surgery, University of Michigan, Ann Arbor, MI, USA.
Frans L MollDepartment of Vascular Surgery, University Medical Center Utrecht, Utrecht, Netherlands.
Joost A van HerwaardenDepartment of Vascular Surgery, University Medical Center Utrecht, Utrecht, Netherlands.
David A NordslettenDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA.
David M WilliamsDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA.
Himanshu J PatelDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA.
C Alberto FigueroaDepartment of Surgery, University of Michigan, Ann Arbor, MI, USA.
Nicholas S BurrisDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA.
University of Michigan · USUniversity Medical Center Utrecht · NL

Funding

Mechanisms Underlying The Progression of Large Artery Stiffness in HypertensionR01HL105297 · NHLBI · YALE UNIVERSITY · PI FIGUEROA, CARLOS ALBERTO, HUMPHREY, JAY D. · 2010 to 2019
$3.0M
Image-based Multi-scale Modeling Framework of the Cardiopulmonary System: Longitudinal Calibration and Assessment of Therapies in Pediatric Pulmonary HypertensionU01HL135842 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BAEK, SEUNGIK, DORFMAN, ADAM LEE · 2017 to 2020
$2.3M
Vascular Deformation Mapping (VDM) for Automated, 3D Assessment of Thoracic Aortic AneurysmR44HL145953 · NHLBI · IMBIO, LLC · PI BURRIS, NICHOLAS SCOTT, HATT, CHARLES R · 2019 to 2022
$1.5M
NHLBI NIH HHS L30 HL143671NHLBI NIH HHS R01 HL105297NHLBI NIH HHS R44 HL145953NHLBI NIH HHS U01 HL135842
6 · The paper itself

Abstract

objectivesMaximal aortic diameter is commonly used to assess aortic risk but poorly predicts the timing and location of dissection events in patients with connective tissue disease who undergo regular imaging surveillance. Hence, we aimed to use available surveillance computed tomography angiography (CTA) scans to investigate the correlation between 3-dimensional (3D) growth and cyclic transmural wall stress with the location of intimal tear formation.

methodsThree type B aortic dissection patients with 2 available electrocardiogram (ECG)-gated pre-dissection CTA scans and without surgical repair during the pre-dissection interval were retrospectively identified at our institution. Vascular deformation mapping was used to measure 3D aortic growth between 2 pre-dissection clinical CTA studies. In addition, we performed a computational analysis to estimate cyclic transmural wall stress in patient-specific baseline CTA geometries.

resultsIn all 3 connective tissue disease patients, the site of type B aortic intimal tear co-localized with areas of peak 3D aortic wall growth. Aortic growth was detected by clinical radiological assessment in only 1 case. Co-localization of peak transmural stress and the site of intimal tear formation were found in all cases.

conclusionsFocal areas of growth and transmural wall stress co-localized with the site of intimal tear formation. These hypothesis-generating results suggest a possible new analytic pathway for a more sophisticated assessment of the factors leading to the initiation of dissection in patients with connective tissue disease. These methods could improve on current risk-stratification techniques.

Indexed as

Aortic DissectionAortaComputed Tomography AngiographyDissectionHumansRetrospective StudiesAortic growthDiameter measurementTransmural wall stressType B aortic dissectionVascular deformation mapping

Identifiers

PMID31995165
PMCPMC7239598
OpenAlexW3004135782

What OpenQuestion holds

Textmetadata
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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.