Literature DB >> 34412694

Cardiac MR images of thalassemia major patients with myocardial iron overload: a data note.

Emad Shiae Ali1, Mohamad Amin Bakhshali2, Seyed Jafar Shoja Razavi3, Hoorak Poorzand4, Parvaneh Layegh5.   

Abstract

OBJECTIVE: Patients with thalassemia major (TM) have the highest mortality rate due to heart failure induced by myocardial iron overload. However, T2* weighted MR imaging is currently a gold standard approach for measuring iron overload. Examining ventricular volumes with magnetic resonance imaging (MR imaging) and measuring myocardial iron overload in TM patients allows for an early prediction of heart failure. This dataset includes cardiac MR images of TM patients and the control group with clinical and echocardiographic data. This dataset may be useful to researchers investigating myocardial iron overload. This dataset can also be used for medical image processing applications, such as ventricle segmentation. DATA DESCRIPTION: This study provides open-source cardiac MR images of 50 subjects and clinical and echocardiographic data. From February 2016 to January 2019, all images and clinical data were obtained from the MRI department of a general hospital in Mashhad, Iran. All the images are 16-bit gray-scale and stored in DICOM format. All patient-specific information is removed from image headers to preserve patient privacy. In addition, all images associated with each subject are compressed and saved in the RAR format.
© 2021. The Author(s).

Entities:  

Keywords:  Cardiac magnetic resonance imaging; Echocardiography; Left Ventricle; Myocardial iron overload; Thalassemia major patients

Mesh:

Year:  2021        PMID: 34412694      PMCID: PMC8375112          DOI: 10.1186/s13104-021-05733-2

Source DB:  PubMed          Journal:  BMC Res Notes        ISSN: 1756-0500


Objective

Thalassemia is a set of genetic disorders characterized by decreased or absent hemoglobin synthesis. Blood transfusion is required to control a severe form of thalassemia [1]. Blood transfusion and iron bromide absorption in the gastrointestinal tract, in either, are many times higher than normal, leading to iron overload. In patients with major thalassemia who have received blood transfusions, cardiac failure due to myocardial iron overload is the primary cause of death [2-4]. MRI uses as an appropriate modality for measuring liver and myocardial iron overload [5]. Because GRE sequences (T2* weighted) are more sensitive to tissue with iron, they are theoretically superior to spin-echo sequences for assessing myocardial iron concentration. Because of the short imaging periods in this sequence, cardiac gated imaging with breath-holding can be used to reduce movement artifacts from heart muscle movement, blood flow, and respiratory movements [5]. Even though CMR T2* is the gold standard for detecting iron overload in myocardial muscle, diastolic cardiac dysfunction may be present even if T2* levels are normal [6]. It is crucial to assess the size and function of the ventricle in order to treat a variety of congenital and acquired cardiac diseases, including diastolic abnormalities [7]. This dataset contains CMR images and supplementary clinical data that researchers can utilize to evaluate heart function, particularly in TM patients with myocardial iron overload. They can also be used for image analysis and processing.

Data description

This dataset consists of unenhanced Cardiac MR Images from 50 subjects, including 37 confirmed TM patients and 13 healthy subjects. Images were obtained at the point of care in an inpatient setting with echocardiographic data for heart dysfunction in TM patients and supporting clinical symptoms from February 2016 to January 2019. Subjects in this study were over the age of 18 and who showed clinical signs of heart failure (shortness of breath, decreased activity, hand, and foot swelling, round the eye and chest pain, arrhythmia), LVEF < 50%, high mean arterial pressure, renal failure, diabetes mellitus, pulmonary hypertension, addiction, cardiovascular disease and infectious diseases during the study were excluded. All CMR tests were completed a week after the last blood transfusion. All participants gave their informed consent in writing and orally. MRI exams were performed with the Siemens Avanto B17 (1.5 Tesla) machine (Siemens Medical Solutions USA, Inc.). All images are in DICOM format and are 16-bit gray-scale images with a resolution of 192 × 256 pixels. All patient-specific information is removed from image headers to protect patient privacy. Following that, all images associated with each patient are compressed and saved in RAR format. Table 1 shows a summary of the dataset. Breath-hold and retrospective gating were applied with True FISP sequences in the short axis. A Gradient multi-echo Dark Blood sequence was used in breath-hold and retrospective gating in 3 slices in the short axis plane and 8 echo times to assess myocardial iron overload. Technically, assessment of myocardial iron overload is in the papillary muscles, the ventricular wall, and the septum. An initial slice was selected from the papillary muscles, and the other two slices were placed at the same intervals at the top and bottom of the first cut. Additional data (such as age range, sex, BSA, LAEDV index, LAESV index, LASV index, and T2*), echocardiographic data (such as LAEDV index, LAESV index, LASV index, and LAEF), and some detailed clinical data (Serum ferritin level, transfusion starting age, chelation starting age, and T2* (ms) liver iron quantification) are given as “Data file 1” in Table 1. Table 1 lists the imaging parameters for these sequences as “Data file 2.” All images were evaluated visually by two board-certified radiologists and cardiologists. Table 1, “Data file 3”, contains a complete description of the methodology.
Table 1

Overview of dataset

LabelName of data file/data setFile types (file extension)Data repository and identifier (DOI or accession number)
Data set 1Subject (X).rar, where X = 1–37RAR files (.rar)Harvard Dataverse (https://doi.org/10.7910/DVN/OIWUTH) [8]
Data set 2Subject C (X).rar, where X = 1–13RAR files (.rar)Harvard Dataverse (https://doi.org/10.7910/DVN/OIWUTH) [8]
Data file 1Clinical Data.rarRAR files (.rar)Harvard Dataverse (https://doi.org/10.7910/DVN/OIWUTH) [8]
Data file 2Imaging Parameters.rarRAR files (.rar)Harvard Dataverse (https://doi.org/10.7910/DVN/OIWUTH) [8]
Data file 3Methodology Description.rarRAR files (.rar)Harvard Dataverse (https://doi.org/10.7910/DVN/OIWUTH) [8]
Overview of dataset

Limitations

A large number of images contain some form of motion artifacts. Images were taken at a single general hospital in Mashhad, Iran, representing a predominantly Iranian population.
  6 in total

Review 1.  Liver iron content determination by magnetic resonance imaging.

Authors:  Konstantinos Tziomalos; Vassilios Perifanis
Journal:  World J Gastroenterol       Date:  2010-04-07       Impact factor: 5.742

2.  Detection of cardiac iron overload with native magnetic resonance T1 and T2 mapping in patients with thalassemia.

Authors:  Rungroj Krittayaphong; Shuo Zhang; Pairash Saiviroonporn; Vip Viprakasit; Prajak Tanapibunpon; Chulaluk Komoltri; Wipaporn Wangworatrakul
Journal:  Int J Cardiol       Date:  2017-06-29       Impact factor: 4.164

Review 3.  Psychological therapies for thalassaemia.

Authors:  Kofi A Anie; Pia Massaglia
Journal:  Cochrane Database Syst Rev       Date:  2014-03-06

4.  Prediction of cardiac complications for thalassemia major in the widespread cardiac magnetic resonance era: a prospective multicentre study by a multi-parametric approach.

Authors:  Alessia Pepe; Antonella Meloni; Giuseppe Rossi; Massimo Midiri; Massimiliano Missere; Gianluca Valeri; Francesco Sorrentino; Domenico Giuseppe D'Ascola; Anna Spasiano; Aldo Filosa; Liana Cuccia; Nicola Dello Iacono; Gianluca Forni; Vincenzo Caruso; Aurelio Maggio; Lorella Pitrolo; Angelo Peluso; Daniele De Marchi; Vincenzo Positano; John C Wood
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2018-03-01       Impact factor: 6.875

Review 5.  Cardiac iron across different transfusion-dependent diseases.

Authors:  John C Wood
Journal:  Blood Rev       Date:  2008-12       Impact factor: 8.250

6.  Myocardial Iron Loading Assessment by Automatic Left Ventricle Segmentation with Morphological Operations and Geodesic Active Contour on T2* images.

Authors:  Yun-gang Luo; Jacky K L Ko; Lin Shi; Yuefeng Guan; Linong Li; Jing Qin; Pheng-Ann Heng; Winnie C W Chu; Defeng Wang
Journal:  Sci Rep       Date:  2015-07-28       Impact factor: 4.379

  6 in total

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