Literature DB >> 16508913

Prediction of specific absorption rate in mother and fetus associated with MRI examinations during pregnancy.

J W Hand1, Y Li, E L Thomas, M A Rutherford, J V Hajnal.   

Abstract

There is uncertainty regarding the risk posed by magnetic resonance imaging (MRI) examinations to pregnant patients. The most frequently used methods, such as single-shot fast spin echo (ssFSE), often require operation at the specific absorption rate (SAR) limits imposed by safety guidelines. With the introduction of higher-field systems, such limits will be even more significant for fetal imaging. An electromagnetic solver based on the time domain finite integration technique (FIT) was used to predict SAR in an anatomically realistic model of a pregnant patient (28 weeks' gestation) associated with the radiofrequency (RF) fields from birdcage body coils typical of 1.5 T and 3 T MRI systems (i.e., operating at approximately 64 and 127 MHz, respectively). The results suggest that 1) the highest local SAR is in the mother, with the fetus being exposed to a peak of approximately 40-60% of that value at 64 MHz, increasing to approximately 50-70% at 127 MHz; 2) compliance with U.S. Food and Drug Administration (FDA) and International Commission on Non-Ionizing Radiation Protection (ICNIRP) guidelines requires control of SAR values averaged over 1 g or 10 g of tissue, respectively; and 3) compliance with Medical Device Agency (MDA) guidelines requires control of the maximum SAR(10g) within the fetus. (c) 2006 Wiley-Liss, Inc.

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Year:  2006        PMID: 16508913     DOI: 10.1002/mrm.20824

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  33 in total

1.  Investigation of multichannel phased array performance for fetal MR imaging on 1.5T clinical MR system.

Authors:  Ye Li; Yong Pang; Daniel Vigneron; Orit Glenn; Duan Xu; Xiaoliang Zhang
Journal:  Quant Imaging Med Surg       Date:  2011-01-01

Review 2.  Risks to the fetus from diagnostic imaging during pregnancy: review and proposal of a clinical protocol.

Authors:  Mafalda Gomes; Alexandra Matias; Filipe Macedo
Journal:  Pediatr Radiol       Date:  2015-08-14

3.  SAR and temperature: simulations and comparison to regulatory limits for MRI.

Authors:  Zhangwei Wang; James C Lin; Weihua Mao; Wanzhan Liu; Michael B Smith; Christopher M Collins
Journal:  J Magn Reson Imaging       Date:  2007-08       Impact factor: 4.813

Review 4.  Implementation of a comprehensive MR safety course for medical students.

Authors:  Steffen Sammet; Christina L Sammet
Journal:  J Magn Reson Imaging       Date:  2015-07-14       Impact factor: 4.813

5.  Fetal magnetic resonance imaging: indications, study protocols and safety.

Authors:  F Triulzi; L Manganaro; P Volpe
Journal:  Radiol Med       Date:  2011-02-01       Impact factor: 3.469

Review 6.  MRI evaluation and safety in the developing brain.

Authors:  Shannon Tocchio; Beth Kline-Fath; Emanuel Kanal; Vincent J Schmithorst; Ashok Panigrahy
Journal:  Semin Perinatol       Date:  2015-03-03       Impact factor: 3.300

Review 7.  Image-quality optimization and artifact reduction in fetal magnetic resonance imaging.

Authors:  Fedel Machado-Rivas; Camilo Jaimes; John E Kirsch; Michael S Gee
Journal:  Pediatr Radiol       Date:  2020-11-30

8.  Cross-hemispheric functional connectivity in the human fetal brain.

Authors:  Moriah E Thomason; Maya T Dassanayake; Stephen Shen; Yashwanth Katkuri; Mitchell Alexis; Amy L Anderson; Lami Yeo; Swati Mody; Edgar Hernandez-Andrade; Sonia S Hassan; Colin Studholme; Jeong-Won Jeong; Roberto Romero
Journal:  Sci Transl Med       Date:  2013-02-20       Impact factor: 17.956

Review 9.  Numerical field calculations considering the human subject for engineering and safety assurance in MRI.

Authors:  Christopher M Collins
Journal:  NMR Biomed       Date:  2009-11       Impact factor: 4.044

10.  Study of the development of fetal baboon brain using magnetic resonance imaging at 3 Tesla.

Authors:  Feng Liu; Marianne Garland; Yunsuo Duan; Raymond I Stark; Dongrong Xu; Zhengchao Dong; Ravi Bansal; Bradley S Peterson; Alayar Kangarlu
Journal:  Neuroimage       Date:  2007-11-28       Impact factor: 6.556

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