Evidence map›Paper›PMID 35069249›Full record

ArticleFrontiers in physiology2021

Image-Based Computational Hemodynamics Analysis of Systolic Obstruction in Hypertrophic Cardiomyopathy.

Ivan Fumagalli, Piermario Vitullo, Christian Vergara, Marco Fedele, Antonio F Corno, Sonia Ippolito, Roberto Scrofani, Alfio Quarteroni

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Accurate Reconstruction of Right Heart Shape and Motion From Cine-MRI for Image-Driven Computational Hemodynamics.International journal for numerical methods in biomedical engineering · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 3 countries.

Ivan FumagalliMOX, Dipartimento di Matematica, Politecnico di Milano, Milan, Italy.
Piermario VitulloMOX, Dipartimento di Matematica, Politecnico di Milano, Milan, Italy.
Christian VergaraLaBS, Dipartimento di Chimica, Materiali e Ingegneria Chimica "Giulio Natta", Politecnico di Milano, Milan, Italy.
Marco FedeleMOX, Dipartimento di Matematica, Politecnico di Milano, Milan, Italy.
Antonio F CornoChildren's Heart Institute, Hermann Children's Hospital, McGovern Medical School, University of Texas Health, Houston, TX, United States.
Sonia IppolitoRadiology Unit, L. Sacco Hospital, Milan, Italy.
Roberto ScrofaniCardiac Surgery Unit, L. Sacco Hospital, Milan, Italy.
Alfio QuarteroniMOX, Dipartimento di Matematica, Politecnico di Milano, Milan, Italy.
Politecnico di Milano · ITLuigi Sacco Hospital · ITMemorial Hermann · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertrophic Cardiomyopathy (HCM) is a pathological condition characterized by an abnormal thickening of the myocardium. When affecting the medio-basal portion of the septum, it is named Hypertrophic Obstructive Cardiomyopathy (HOCM) because it induces a flow obstruction in the left ventricular outflow tract. In any type of HCM, the myocardial function can become compromised, possibly resulting in cardiac death. In this study, we investigated with computational analysis the hemodynamics of patients with different types of HCM. The aim was quantifying the effects of this pathology on the intraventricular blood flow and pressure gradients, and providing information potentially useful to guide the indication and the modality of the surgical treatment (septal myectomy). We employed an image-based computational approach, integrating fluid dynamics simulations with geometric and functional data, reconstructed from standard cardiac cine-MRI acquisitions. We showed that with our approach we can better understand the patho-physiological behavior of intraventricular blood flow dynamics due to the abnormal morphological and functional aspect of the left ventricle. The main results of our investigation are: (a) a detailed patient-specific analysis of the blood velocity, pressure and stress distribution associated to HCM; (b) a computation-based classification of patients affected by HCM that can complement the current clinical guidelines for the diagnosis and treatment of HOCM.

Indexed as

cardiac cine-MRIhypertrophic cardiomyopathyimage-based computational fluid dynamicsmitral valvepatient-specific simulationsseptal myectomy

Identifiers

PMID35069249
PMCPMC8773089
OpenAlexW4225731619

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.