scholarly journals Feasibility of non-gated dynamic fetal cardiac MRI for identification of fetal cardiovascular anatomy

2021 ◽  
Vol 22 (Supplement_2) ◽  
Author(s):  
J Geiger ◽  
R Tuura ◽  
FM Callaghan ◽  
BUE Burkhardt ◽  
K Payette ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Purpose We sought to retrospectively evaluate the feasibility of identifying the fetal cardiac and thoracic vascular structures with non-gated dynamic balanced steady-state free precession MRI sequences. Methods We retrospectively assessed the visibility of cardiovascular anatomy in 66 fetuses without suspicion of congenital heart defect (mean gestational age 27+/- 4, range 21-38 weeks). Non-gated dynamic balanced steady-state free precession (SSFP) sequences were acquired in three planes (axial, coronal and sagittal) of the fetal thorax (slice thickness 4-5mm, FOV 400, FA 60°, matrix 256x256). The images were analysed following a segmental approach in consensus reading by an experienced paediatric cardiologist and radiologist. An imaging score was defined by giving one point to each visualized structure. Basic diagnostic structures included the atria, ventricles, systemic veins, right and left ventricular outflow tracts (RVOT/LVOT), aortic arch, descending aorta (DAO), ductus arteriosus and thymus (12 points); advanced diagnostic features included the atrioventricular (AV) valves, pulmonary arteries and veins, supraaortic arteries and trachea, yielding a maximum score of 21 points. Image quality was rated from 0 (poor) to 2 (good). The influence of gestational age (GA), field strength, placenta position, and maternal panniculus on image quality and imaging score were tested. Results 34 scans were performed at 1.5 T, 32 at 3 T. Heart position, atria and ventricles could be seen in all 66 fetuses. Basic diagnosis (>12 points) was achieved in 60 (90%) cases, with visualization of the IVC and SVC in 65 (98%) and 63 (95%), RVOT in 62 (94%), LVOT in 61 (92%), aortic arch in 60 (91%), DAO in 64 (97%), ductus arteriosus in 59 (89%) and thymus in 50 (76%) fetuses. The AV valves were recognised in 55 (83%), the pulmonary arteries in 35 (53%), at least one pulmonary vein in 46 (70%), the supraaortic arteries in 42 (64%), and the trachea in 59 (89%) fetuses. The mean imaging score was 16.8 +/- 3.7. Maternal panniculus (r -0.3; p 0.01) and gestational age (r 0.6; p < 0.001) correlated with imaging score. Field strength influenced image quality, with 1.5 T being better than 3T images (p 0.04), but not the total imaging score. Imaging score or quality were independent from placenta position. Conclusions Fetal heart MRI with a non-gated SSFP sequence in multiple planes enables recognition of basic cardiovascular anatomy. Advanced diagnostics may be limited by thick maternal panniculus, lower GA and higher field strength.

2018 ◽  
Vol 1 (3) ◽  
pp. 97
Author(s):  
Clinton Johan Ade Wicaksono ◽  
Susy Suswaty ◽  
Nursama Heru Apriantoro ◽  
Ary Sasongko

Background: Cardiac MRI examination is relatively rare in Indonesia. The effect of the use of volume shim on moving organs, such as the heart is relatively unknown and noticed by radiographers and cardiologists. Objective: To analyse the image quality of 4 chamber sections of Cardiac Magnetic Resonance Imaging with and without the use of shim volume on Steady State Free Precession (SSFP) sequences so that it can determine the most optimum 4 chamber images to maintain the diagnostic value by physician. Method: This research is designed through quantitative analytic approach with experiment method. The total samples used are 13 subjects ranging from 7 to 80 years old and 5 respondents and the sample undergone into a series of examinations of Cardiac Magnetic Resonance Imaging. Afterward, the 4 chamber sections in SSFP sequence were given different treatment, namely, with and without the use of shim volume. The result will be assessed by the respondents and then it will be done by non-parametric Wilcoxon Two-Sample Test and parametric Paired Sample T Test. Results: Thereafter, the result of statistic from the respondent assessment is that the quality of anatomy images has p=(0.113) whereas the p=(0.354) for the degree of artefact images and clarifies that the anatomy image quality and the degree of artefact is not too much different. Conclusion: The conclusion of the research is with and without the use of shim volume is not too significant to affect the quality of 4 chamber images.


Author(s):  
M.V. Medvedev , M.V. Kubrina , O.L. Galkina et all

A retrospective analysis of 12 cases of prenatal diagnosed of pulmonary atresia with ventricular septum defect (PA-VSD) is presented. In the study of the fetal four chambers view cardiomegaly was detected in 2 (16.7 %) cases. The axis of the heart changed in 8 (66.7 %) cases. Ventricular septal defect (VSD) and overriding dilated ascending aorta were identified in all cases. Central pulmonary arteries were identified in 12 (100%) cases. In 7 (58.3 %) cases the dimensions of the pulmonary arteries were at least 2SD below the mean value for gestational age in the remaining 5 (41.7 %) cases were very narrow. Pulmonary blood supply was prenatally identified as ductus arteriosus (DA) in 8 (66.7 %) and major aortopulmonary collateral arteries (MARSAs) in 3 (25 %) and mixed (DA + MARSAs) in 1 (8.3 %). Fetal hydrops is detected in 2 (16.7 %) cases. The left aortic arch was in 9 (75 %) cases and right aortic arch — 3 (25 %). The average gestational age at prenatal diagnosis was 19.6 (13–23) weeks of gestation. Early diagnosis is represented by one case in 13 weeks of gestation. Еxtracardiac defects were registered in 3 (25 %) cases. Outcomes in fetuses with PA-VSD: termination of pregnancy — 10 (83.4 %), fetal death — 1 (8.3 %), only 1 (8.3 %) survivor


2007 ◽  
Vol 17 (9) ◽  
pp. 2218-2224 ◽  
Author(s):  
Thorsten R. C. Johnson ◽  
Nicole Bayrhof ◽  
Armin Huber ◽  
Joost P. A. Kuijer ◽  
Roger Luechinger ◽  
...  

2008 ◽  
Vol 28 (4) ◽  
pp. 873-878 ◽  
Author(s):  
Tadhg G. Gleeson ◽  
Irene Mwangi ◽  
Stephen J. Horgan ◽  
Andrea Cradock ◽  
Patricia Fitzpatrick ◽  
...  

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