Literature DB >> 31855294

Characterization of R 2 and tissue density in the human lung: Application to neonatal imaging in the intensive care unit.

Andrew D Hahn1, Annelise Malkus1, Jeffery Kammerman1, Nara Higano2, Laura Walkup2, Jason Woods2,3, Sean B Fain1,4,5.   

Abstract

PURPOSE: Novel demonstration of R 2 ∗ and tissue density estimation in infant lungs using 3D ultrashort echo time MRI. Differences between adult and neonates with no clinical indication of lung pathology is explored, as well as relationships between parameter estimates and gravitationally dependent position and lung inflation state. This provides a tool for probing physiologic processes that may be relevant to pulmonary disease and progression in newborns.
METHODS: R 2 ∗ and tissue density were estimated in a phantom consisting of standards allowing for ground truth comparisons and in human subjects (N = 5 infants, N = 4 adults, no clinical indication of lung dysfunction) using a 3D radial multiecho ultrashort echo time MRI sequence. Whole lung averages were compared between infants and adults. Dependence of the metrics on anterior-posterior position as well as between end-tidal inspiration and expiration were explored, in addition to the general relationship between R 2 ∗ and tissue density.
RESULTS: Estimates in the phantom did not differ significantly from ground truth. Neonates had significantly lower mean R 2 ∗ (P = .006) and higher mean tissue density (P = 1.5e-5) than adults. Tissue density and R 2 ∗ were both significantly dependent on anterior-posterior position and lung inflation state (P < .005). An overall inverse relationship was found between R 2 ∗ and tissue density, which was similar in both neonates and adults.
CONCLUSION: Estimation of tissue density and R 2 ∗ in free breathing, nonsedated, neonatal patients is feasible using multiecho ultrashort echo time MRI. R 2 ∗ was no different between infants and adults when matched for tissue density, although density of lung parenchyma was, on average, lower in adults than neonates.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  zzm321990 zzm321990 zzm321990 Rzzm321990 2zzm321990 zzm321990 zzm321990 zzm321990 ; zzm321990 zzm321990 zzm321990 Tzzm321990 2zzm321990 zzm321990 zzm321990 zzm321990 ; MRI; lung; neonatal imaging

Mesh:

Year:  2019        PMID: 31855294      PMCID: PMC7180096          DOI: 10.1002/mrm.28137

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


  25 in total

1.  T2* and proton density measurement of normal human lung parenchyma using submillisecond echo time gradient echo magnetic resonance imaging.

Authors:  H Hatabu; D C Alsop; J Listerud; M Bonnet; W B Gefter
Journal:  Eur J Radiol       Date:  1999-03       Impact factor: 3.528

2.  Measurement of lung density by means of quantitative CT scanning. A study of correlations with pulmonary function tests.

Authors:  A Heremans; J A Verschakelen; L Van fraeyenhoven; M Demedts
Journal:  Chest       Date:  1992-09       Impact factor: 9.410

3.  Selection of a convolution function for Fourier inversion using gridding [computerised tomography application].

Authors:  J I Jackson; C H Meyer; D G Nishimura; A Macovski
Journal:  IEEE Trans Med Imaging       Date:  1991       Impact factor: 10.048

4.  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

5.  N4ITK: improved N3 bias correction.

Authors:  Nicholas J Tustison; Brian B Avants; Philip A Cook; Yuanjie Zheng; Alexander Egan; Paul A Yushkevich; James C Gee
Journal:  IEEE Trans Med Imaging       Date:  2010-04-08       Impact factor: 10.048

6.  Determinants of chronic lung disease severity in the first year of life; A population based study.

Authors:  Susan Gage; Peiyi Kan; John Oehlert; Jeffrey B Gould; David K Stevenson; Gary M Shaw; Hugh M O'Brodovich
Journal:  Pediatr Pulmonol       Date:  2015-02-04

7.  Quantitative MRI measurement of lung density must account for the change in T(2) (*) with lung inflation.

Authors:  Rebecca J Theilmann; Tatsuya J Arai; Ahsan Samiee; David J Dubowitz; Susan R Hopkins; Richard B Buxton; G Kim Prisk
Journal:  J Magn Reson Imaging       Date:  2009-09       Impact factor: 4.813

8.  Transport, monitoring, and successful brain MR imaging in unsedated neonates.

Authors:  Amit M Mathur; Jeffrey J Neil; Robert C McKinstry; Terrie E Inder
Journal:  Pediatr Radiol       Date:  2007-12-19

9.  Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study.

Authors:  Mark S Pearce; Jane A Salotti; Mark P Little; Kieran McHugh; Choonsik Lee; Kwang Pyo Kim; Nicola L Howe; Cecile M Ronckers; Preetha Rajaraman; Alan W Sir Craft; Louise Parker; Amy Berrington de González
Journal:  Lancet       Date:  2012-06-07       Impact factor: 79.321

10.  Neonatal Pulmonary Magnetic Resonance Imaging of Bronchopulmonary Dysplasia Predicts Short-Term Clinical Outcomes.

Authors:  Nara S Higano; David R Spielberg; Robert J Fleck; Andrew H Schapiro; Laura L Walkup; Andrew D Hahn; Jean A Tkach; Paul S Kingma; Stephanie L Merhar; Sean B Fain; Jason C Woods
Journal:  Am J Respir Crit Care Med       Date:  2018-11-15       Impact factor: 30.528

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  2 in total

Review 1.  Modern pulmonary imaging of bronchopulmonary dysplasia.

Authors:  Nara S Higano; J Lauren Ruoss; Jason C Woods
Journal:  J Perinatol       Date:  2021-02-05       Impact factor: 2.521

2.  Effects of neonatal lung abnormalities on parenchymal R2 * estimates.

Authors:  Andrew D Hahn; Annelise Malkus; Jeffery Kammerman; Nara Higano; Laura L Walkup; Jason Woods; Sean B Fain
Journal:  J Magn Reson Imaging       Date:  2021-01-06       Impact factor: 5.119

  2 in total

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