Evidence map›Paper›PMID 20560000›Full record

ReviewJournal of cardiovascular translational research2009

The current and emerging role of cardiovascular magnetic resonance imaging in hypertrophic cardiomyopathy.

Martin S Maron

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of cardiovascular translational research, 2009. 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
2.6field-weighted citation impact, top 10% 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, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. NATURAL LANGUAGE PROCESSING BASED MACHINE LEARNING MODEL USING CARDIAC MRI REPORTS TO IDENTIFY HYPERTROPHIC CARDIOMYOPATHY PATIENTS.Proceedings of the ... Design of Medical Devices Conference. Design of Medical Devices Conference · 2021
    Article
  4. Article
  5. Article
  6. Role of Cardiac MRI in the Assessment of Cardiomyopathy.Current treatment options in cardiovascular medicine · 2015
    Article
  7. Article
  8. Systemic right ventricles rarely show myocardial scars in cardiac magnetic resonance delayed-enhancement imaging.Clinical research in cardiology : official journal of the German Cardiac Society · 2013
    Article
  9. Article
  10. Emerging MRI methods in translational cardiovascular research.Journal of cardiovascular translational research · 2011
    Review
  11. Article
  12. Cardiovascular magnetic resonance in heart failure.Current cardiology reports · 2011
    Review
  13. Article
  14. Review
  15. Fluid dynamic aspects of ejection in hypertrophic cardiomyopathy.Hellenic journal of cardiology : HJC = Hellenike kardiologike epitheorese
    Review
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

1 author at 1 institution in 1 country.

Martin S MaronDivision of Cardiology, Hypertrophic Cardiomyopathy Center, Tufts Medical Center, Boston, MA, 02111, USA. mmaron@tuftsmedialcenter.org
Tufts Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertrophic cardiomyopathy (HCM) is the most common genetic cardiomyopathy with substantial heterogeneity in phenotypic expression and clinical course. Traditionally, two-dimensional echocardiography has been the easiest and most reliable technique for establishing a diagnosis of HCM. However, cardiovascular magnetic resonance (CMR) has emerged as a novel, three-dimensional tomographic imaging technique, which provides high spatial and temporal resolution images of the heart in any plane and without ionizing radiation. As a result, CMR is particularly well suited to provide detailed characterization of the HCM phenotype, including precise assessment of the location and distribution of left ventricular (LV) wall thickening. In this regard, CMR can identify hypertrophy (particularly in the anterolateral free wall and apex), not well appreciated (or underestimated) by two-dimensional echocardiography, with important implications for diagnosis. CMR can also provide detailed characterization of other myocardial structures such as the papillary muscles, which may impact on preoperative management strategies for patients who are candidates for surgical myectomy. Furthermore, CMR enables an accurate assessment of total LV mass, a robust marker of the overall extent of hypertrophy, which may have implications for risk stratification. In addition, a subgroup of HCM patients have normal LV mass (with focal hypertrophy), suggesting that a limited extent of hypertrophy is consistent with a diagnosis of HCM. Finally, following the intravenous administration of gadolinium, first-pass perfusion sequences can identify myocardial perfusion abnormalities, while late gadolinium enhancement (LGE) sequences can characterize areas of myocardial fibrosis/scarring. LGE is associated with systolic dysfunction and likelihood for ventricular tachyarrhythmias on ambulatory Holter monitoring in patients with HCM. However, the precise clinical implications of myocardial perfusion abnormalities and LGE in HCM are still uncertain; this information may have important implications with regard to identifying HCM patients at risk of sudden death and adverse LV remodeling associated with systolic dysfunction. Therefore, at present, CMR provides important information impacting on diagnosis and clinical management strategies in patients with HCM and will likely have an expanding role in the evaluation of patients with this complex disease.

Indexed as

Magnetic Resonance ImagingCardiomyopathy, HypertrophicContrast MediaFibrosisGadoliniumHemodynamicsHumansMyocardiumPapillary MusclesPhenotypePredictive Value of TestsPrognosisSeverity of Illness IndexVentricular FunctionContrast MediaGadolinium

Identifiers

PMID20560000
OpenAlexW1991986837

What OpenQuestion holds

Textmetadata
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.