Literature DB >> 19926413

A patient care system for early 3.0 Tesla magnetic resonance imaging of very low birth weight infants.

N Merchant1, A Groves, D J Larkman, S J Counsell, M A Thomson, V Doria, M Groppo, T Arichi, S Foreman, D J Herlihy, J V Hajnal, L Srinivasan, A Foran, M Rutherford, A D Edwards, J P Boardman.   

Abstract

BACKGROUND: Very low birth weight (VLBW) infants (weight <1500 g) are increasingly cared for without prolonged periods of positive pressure ventilation (PPV). AIMS: To develop a system for 3.0 T magnetic resonance (MR) image acquisition from VLBW infants who are not receiving PPV, and to test the clinical stability of a consecutive cohort of such infants.
DESIGN: Seventy VLBW infants whose median weight at image acquisition was 940 g (590-1490) underwent brain MR imaging with the developed care system as participants in research. Twenty infants (29%) received nasal continuous positive airway pressure (nCPAP), 28 (40%) received supplemental oxygen by nasal cannulae, and 22 (31%) breathed spontaneously in air during the MR examination.
RESULTS: There were no significant adverse events. Seventy-six percent had none or transient self-correcting oxygen desaturations. Desaturations that required interruption of the scan for assessment were less common among infants receiving nCPAP (2/20) or breathing spontaneously in air (2/22), compared with those receiving nasal cannulae oxygen (13/28), p=0.003. Sixty-four (91%) infants had an axillary temperature > or =36 degrees C at completion of the scan (lowest 35.7 degrees C), There was no relationship between weight (p=0.167) or use of nCPAP (p=0.453) and axillary temperature <36 degrees C. No infant became hyperthermic.
CONCLUSION: VLBW infants who do not require ventilation by endotracheal tube can be imaged successfully and safely at 3.0 T, including those receiving nCPAP from a customised system.

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Year:  2009        PMID: 19926413     DOI: 10.1016/j.earlhumdev.2009.10.007

Source DB:  PubMed          Journal:  Early Hum Dev        ISSN: 0378-3782            Impact factor:   2.079


  23 in total

Review 1.  Motion-compensation techniques in neonatal and fetal MR imaging.

Authors:  C Malamateniou; S J Malik; S J Counsell; J M Allsop; A K McGuinness; T Hayat; K Broadhouse; R G Nunes; A M Ederies; J V Hajnal; M A Rutherford
Journal:  AJNR Am J Neuroradiol       Date:  2012-05-10       Impact factor: 3.825

Review 2.  Functional connectivity MRI in infants: exploration of the functional organization of the developing brain.

Authors:  Christopher D Smyser; Abraham Z Snyder; Jeffrey J Neil
Journal:  Neuroimage       Date:  2011-03-03       Impact factor: 6.556

3.  Improved MRI of the neonatal heart: feasibility study using a knee coil.

Authors:  Michael Helle; Michael Jerosch-Herold; Inga Voges; Chris Hart; Hans-Heiner Kramer; Carsten Rickers
Journal:  Pediatr Radiol       Date:  2011-08-30

Review 4.  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 5.  Acquisition guidelines and quality assessment tools for analyzing neonatal diffusion tensor MRI data.

Authors:  A M Heemskerk; A Leemans; A Plaisier; K Pieterman; M H Lequin; J Dudink
Journal:  AJNR Am J Neuroradiol       Date:  2013-03-21       Impact factor: 3.825

6.  An MRI system for imaging neonates in the NICU: initial feasibility study.

Authors:  Jean A Tkach; Noah H Hillman; Alan H Jobe; Wolfgang Loew; Ron G Pratt; Barret R Daniels; Suhas G Kallapur; Beth M Kline-Fath; Stephanie L Merhar; Randy O Giaquinto; Patrick M Winter; Yu Li; Machiko Ikegami; Jeffrey A Whitsett; Charles L Dumoulin
Journal:  Pediatr Radiol       Date:  2012-06-27

7.  Non-pharmacological strategies to obtain usable magnetic resonance images in non-sedated infants: Systematic review and meta-analysis.

Authors:  Elisa R Torres; Tyler A Tumey; Douglas C Dean; Wondwosen Kassahun-Yimer; Eloise D Lopez-Lambert; Mary E Hitchcock
Journal:  Int J Nurs Stud       Date:  2020-02-22       Impact factor: 5.837

8.  Evaluation of 100 brain examinations using a 3 Tesla MR-compatible incubator-safety, handling, and image quality.

Authors:  Selma Sirin; Sophia L Goericke; Britta M Huening; Anja Stein; Sonja Kinner; Ursula Felderhoff-Mueser; Bernd Schweiger
Journal:  Neuroradiology       Date:  2013-08-07       Impact factor: 2.804

Review 9.  Infant fMRI: A Model System for Cognitive Neuroscience.

Authors:  Cameron T Ellis; Nicholas B Turk-Browne
Journal:  Trends Cogn Sci       Date:  2018-02-24       Impact factor: 20.229

10.  Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group.

Authors:  Susan D Shenkin; Cyril Pernet; Thomas E Nichols; Jean-Baptiste Poline; Paul M Matthews; Aad van der Lugt; Clare Mackay; Linda Lanyon; Bernard Mazoyer; James P Boardman; Paul M Thompson; Nick Fox; Daniel S Marcus; Aziz Sheikh; Simon R Cox; Devasuda Anblagan; Dominic E Job; David Alexander Dickie; David Rodriguez; Joanna M Wardlaw
Journal:  Neuroimage       Date:  2017-02-14       Impact factor: 6.556

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