Evidence map›Paper›PMID 32052169›Full record

ArticleEuropean radiology2020

CMR for myocardial iron overload quantification: calibration curve from the MIOT Network.

Antonella Meloni, Aurelio Maggio, Vincenzo Positano, Filippo Leto, Annalisa Angelini, Maria Caterina Putti, Emiliano Maresi, Angela Pucci, Cristina Basso, Martina Perazzolo Marra and 3 more

Abstract read
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In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Iron overload cardiomyopathy.Heart failure reviews · 2026
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  16. Myocardial iron overload by cardiovascular magnetic resonance native segmental T1 mapping: a sensitive approach that correlates with cardiac complications.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2021
    Article
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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

13 authors at 5 institutions in 1 country.

Antonella MeloniMRI Unit, Fondazione G. Monasterio CNR-Regione Toscana, Area della Ricerca S. Cataldo, Via Moruzzi, 1, 56124, Pisa, Italy.
Aurelio MaggioEmatologia II con Talassemia, Ospedale "V. Cervello", Palermo, Italy.
Vincenzo PositanoMRI Unit, Fondazione G. Monasterio CNR-Regione Toscana, Area della Ricerca S. Cataldo, Via Moruzzi, 1, 56124, Pisa, Italy.
Filippo LetoEmatologia II con Talassemia, Ospedale "V. Cervello", Palermo, Italy.
Annalisa AngeliniDepartment of Cardiac-Thoracic-Vascular Sciences and Public Health, University of Padua Medical School, Padua, Italy.
Maria Caterina PuttiClinica di Emato-Oncologia Pediatrica, Azienda Ospedaliero-Università di Padova, Padua, Italy.
Emiliano MaresiPromozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro", Università degli studi di Palermo, Palermo, Italy.
Angela PucciDepartment of Histopathology, Pisa University Hospital, Pisa, Italy.
Cristina BassoDepartment of Cardiac-Thoracic-Vascular Sciences and Public Health, University of Padua Medical School, Padua, Italy.
Martina Perazzolo MarraDepartment of Cardiac-Thoracic-Vascular Sciences and Public Health, University of Padua Medical School, Padua, Italy.
Laura PistoiaMRI Unit, Fondazione G. Monasterio CNR-Regione Toscana, Area della Ricerca S. Cataldo, Via Moruzzi, 1, 56124, Pisa, Italy.
Daniele De MarchiMRI Unit, Fondazione G. Monasterio CNR-Regione Toscana, Area della Ricerca S. Cataldo, Via Moruzzi, 1, 56124, Pisa, Italy.
Alessia PepeMRI Unit, Fondazione G. Monasterio CNR-Regione Toscana, Area della Ricerca S. Cataldo, Via Moruzzi, 1, 56124, Pisa, Italy. alessia.pepe@ftgm.it.
Fondazione Toscana Gabriele Monasterio · ITUniversity of Padua · ITOspedale Vincenzo Cervello · ITRegione ToscanaUniversity of Palermo · IT

Funding

The MIOT project receives "no-profit support" from industrial sponsorships (Chiesi Farmaceutici S.p.A. and ApoPharma Inc.). NA
6 · The paper itself

Abstract

objectivesR2* cardiac magnetic resonance (CMR) allows the non-invasive measurement of myocardial iron. We calibrated cardiac R2* values against myocardial tissue-measured iron concentration by using a segmental approach and we assessed the iron distribution.

methodsFive hearts of thalassemia patients were donated after death/transplantation to the CoreLab of the Myocardial Iron Overload in Thalassemia Network. A multislice multiecho R2* approach was adopted. After CMR, used as guidance, the heart was cut in three short-axis slices and each slice was cut into different equiangular segments according to AHA segmentation and differentiated into endocardial and epicardial layers. Tissue iron concentration was measured by atomic absorption spectrometer technique.

resultsFifty-five samples were used since only for two hearts all the 16 samples were analyzed. Mean iron concentration was 4.71 ± 4.67 mg/g dw. Segmental iron levels ranged from 0.24 to 13.78 mg/g dw. The coefficient of variability of iron for myocardial segments ranged from 8.08 to 24.54% (mean 13.49 ± 6.93%). Iron concentration was significantly higher in the epicardial than in the endocardial layer (5.99 ± 6.01 vs 4.84 ± 4.87 mg/g dw; p = 0.042). Four different circumferential regions (anterior, septal, inferior, and lateral) were defined. A circumferential heterogeneity was noted, with more iron in the anterior region, followed by the inferior region. The direct nonlinear fitting of R2* and [Fe] data led to the calibration curve: [Fe] = 0.0022 ∙ (R2*-ROI)

conclusionsOur data further validate R2* CMR using a segmental approach as a sensitive and early technique for quantifying iron distribution in the current clinical practice. KEY POINTS: • Calibration in humans for cardiovascular magnetic resonance R2* against myocardial iron concentration was provided. • A circumferential heterogeneity in cardiac iron distribution was detected: more iron was observed in the anterior region, followed by the inferior region. This finding corroborates the use of a segmental T2* CMR approach in the clinical practice to detect a heterogeneous iron distribution. • The comparison between the cardiac T2* values obtained with the region-based and the pixel-wise approaches showed a significant correlation and no significant difference but, in presence of significant iron load, the region-based approach resulted in significantly higher T2* values.

Indexed as

beta-ThalassemiaCalibrationHumansIronIron OverloadMagnetic Resonance SpectroscopyMyocardiumIronAutopsyIron overloadMagnetic resonance imaging

Identifiers

PMID32052169
OpenAlexW3005948959

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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.