Literature DB >> 32052169

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

Antonella Meloni1, Aurelio Maggio2, Vincenzo Positano1, Filippo Leto2, Annalisa Angelini3, Maria Caterina Putti4, Emiliano Maresi5, Angela Pucci6, Cristina Basso3, Martina Perazzolo Marra3, Laura Pistoia1, Daniele De Marchi1, Alessia Pepe7.   

Abstract

OBJECTIVES: R2* 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.
METHODS: Five 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.
RESULTS: Fifty-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)1.462 (R-square = 0.956).
CONCLUSIONS: Our 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.

Entities:  

Keywords:  Autopsy; Iron overload; Magnetic resonance imaging

Year:  2020        PMID: 32052169     DOI: 10.1007/s00330-020-06668-1

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  6 in total

1.  Role of CMR feature-tracking derived left ventricular strain in predicting myocardial iron overload and assessing myocardial contractile dysfunction in patients with thalassemia major.

Authors:  Vineeta Ojha; Kartik P Ganga; Tulika Seth; Ambuj Roy; Nitish Naik; Priya Jagia; Gurpreet S Gulati; Sanjeev Kumar; Sanjiv Sharma
Journal:  Eur Radiol       Date:  2021-03-15       Impact factor: 5.315

2.  Left atrial deformation indices in β-thalassemia major patients.

Authors:  Dimitrios Patsourakos; Constantina Aggeli; Konstantinos A Gatzoulis; Sophia Delicou; Yannis Dimitroglou; Katerina Xydaki; Christina Fragodimitri; Aristeidis Androulakis; Konstantinos Tsioufis
Journal:  Ann Hematol       Date:  2022-04-23       Impact factor: 3.673

3.  Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation.

Authors:  Pan Pan; Yichao Li; Yongjiu Xiao; Bingchao Han; Longxiang Su; Mingliang Su; Yansheng Li; Siqi Zhang; Dapeng Jiang; Xia Chen; Fuquan Zhou; Ling Ma; Pengtao Bao; Lixin Xie
Journal:  J Med Internet Res       Date:  2020-11-11       Impact factor: 5.428

4.  Global longitudinal strain for detection of cardiac iron overload in patients with thalassemia: a meta-analysis of observational studies with individual-level participant data.

Authors:  Armin Attar; Alireza Hosseinpour; Hamidreza Hosseinpour; Nahid Rezaeian; Firoozeh Abtahi; Fereshte Mehdizadeh; Mozhgan Parsaee; Nehzat Akiash; Mohaddeseh Behjati; Antonella Meloni; Alessia Pepe
Journal:  Cardiovasc Ultrasound       Date:  2022-08-12       Impact factor: 2.263

5.  Adoption and Safety Evaluation of Comfortable Nursing by Mobile Internet of Things in Pediatric Outpatient Sedation.

Authors:  Qiuying Xiao; Bingqing Wu; Wei Wu; Rui Wang
Journal:  Comput Math Methods Med       Date:  2022-06-25       Impact factor: 2.809

6.  T2* assessment of the three coronary artery territories of the left ventricular wall by different monoexponential truncation methods.

Authors:  Pandji Triadyaksa; Jelle Overbosch; Matthijs Oudkerk; Paul Eduard Sijens
Journal:  MAGMA       Date:  2022-04-18       Impact factor: 2.533

  6 in total

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