Validity of SyMRI for Assessment of the Neonatal Brain.
Magnetic resonance imaging
Newborn
Sensitivity
Software
Specificity
Journal
Clinical neuroradiology
ISSN: 1869-1447
Titre abrégé: Clin Neuroradiol
Pays: Germany
ID NLM: 101526693
Informations de publication
Date de publication:
Jun 2021
Jun 2021
Historique:
received:
28
10
2019
accepted:
24
02
2020
pubmed:
13
3
2020
medline:
3
11
2021
entrez:
13
3
2020
Statut:
ppublish
Résumé
The purpose of this study was to assess the diagnostic accuracy of T1-weighted and T2-weighted contrasts generated by the MR data postprocessing software SyMRI (Synthetic MR AB, Linköping, Sweden) for neonatal brain imaging. In this study 36 cases of neonatal MRI were retrospectively collected, which included T1-weighted and T2-weighted sequences as well as multi-dynamic multi-echo (MDME) sequences. Of the 36 neonates 32 were included in this study and 4 neuroradiologists independently assessed neonatal brain examinations on the basis of conventional and SyMRI-generated T1-weighted and T2-weighted contrasts, in order to determine the presence or absence of lesions. The sensitivity and specificity of both methods were calculated and compared. Compared to conventionally acquired T1 and T2-weighted images, SyMRI-generated contrasts showed a lower sensitivity but a higher specificity (SyMRI sensitivity 0.88, confidence interval (CI): 0.72-0.95; specificity 1, CI: 0.89-1/conventional MRI: sensitivity: 0.94, CI: 0.80-0.98; specificity: 0.94, CI: 0.80-0.98). The T1-weighted and T2-weighted images generated by SyMRI showed a diagnostic accuracy comparable to that of conventionally acquired contrasts. In addition to semiquantitative imaging data, SyMRI provides diagnostic images and leads to a more efficient use of available imaging time in neonatal brain MRI.
Identifiants
pubmed: 32161995
doi: 10.1007/s00062-020-00894-2
pii: 10.1007/s00062-020-00894-2
pmc: PMC8211598
doi:
Substances chimiques
Contrast Media
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
315-323Références
Saunders DE, Thompson C, Gunny R, Jones R, Cox T, Chong WK. Magnetic resonance imaging protocols for paediatric neuroradiology. Pediatr Radiol. 2007;37:789–97.
pubmed: 17487479
pmcid: 1950216
Dorner RA, Burton VJ, Allen MC, Robinson S, Soares BP. Preterm neuroimaging and neurodevelopmental outcome: a focus on intraventricular hemorrhage, post-hemorrhagic hydrocephalus, and associated brain injury. J Perinatol. 2018;38:1431–43.
pubmed: 30166622
pmcid: 6215507
Barkovich AJ, Kjos BO, Jackson DE, Norman D. Normal maturation of the neonatal and infant brain: MR imaging at 1.5 T. Radiology. 1988;166:173–80.
pubmed: 3336675
Deoni SC, Mercure E, Blasi A, Gasston D, Thomson A, Johnson M, Williams SC, Murphy DG. Mapping infant brain myelination with magnetic resonance imaging. J Neurosci. 2011;31:784–91.
pubmed: 21228187
pmcid: 6623428
Doria V, Arichi T, Edwards DA. Magnetic resonance imaging of the preterm infant brain. Curr Pediatr Rev. 2014;10:48–55.
pubmed: 25055863
Laptook AR. Birth asphyxia and hypoxic-ischemic brain injury in the preterm infant. Clin Perinatol. 2016;43:529–45.
pubmed: 27524452
Ibrahim J, Mir I, Chalak L. Brain imaging in preterm infants <32 weeks gestation: a clinical review and algorithm for the use of cranial ultrasound and qualitative brain MRI. Pediatr Res. 2018;84:799–806.
pubmed: 30315272
Mathur A, Inder T. Magnetic resonance imaging—insights into brain injury and outcomes in premature infants. J Commun Disord. 2009;42:248–55.
pubmed: 19406431
pmcid: 3553556
Parikh NA. Advanced neuroimaging and its role in predicting neurodevelopmental outcomes in very preterm infants. Semin Perinatol. 2016;40:530–41.
pubmed: 27863706
pmcid: 5951398
Kidokoro H, Anderson PJ, Doyle LW, Woodward LJ, Neil JJ, Inder TE. Brain injury and altered brain growth in preterm infants: predictors and prognosis. Pediatrics. 2014;134:e444–53.
pubmed: 25070300
Rutherford M, Pennock J, Schwieso J, Cowan F, Dubowitz L. Hypoxic-ischaemic encephalopathy: early and late magnetic resonance imaging findings in relation to outcome. Arch Dis Child Fetal Neonatal Ed. 1996;75:F145–51.
pubmed: 8976678
pmcid: 1061190
Dyet LE, Kennea N, Counsell SJ, Maalouf EF, Ajayi-Obe M, Duggan PJ, Harrison M, Allsop JM, Hajnal J, Herlihy AH, Edwards B, Laroche S, Cowan FM, Rutherford MA, Edwards AD. Natural history of brain lesions in extremely preterm infants studied with serial magnetic resonance imaging from birth and neurodevelopmental assessment. Pediatrics. 2006;118:536–48.
pubmed: 16882805
Hagiwara A, Warntjes M, Hori M, Andica C, Nakazawa M, Kumamaru KK, Abe O, Aoki S. SyMRI of the brain: rapid quantification of relaxation rates and proton density, with Synthetic MRI, automatic brain segmentation, and myelin measurement. Invest Radiol. 2017;52:647–57.
pubmed: 28257339
pmcid: 5596834
McAllister A, Leach J, West H, Jones B, Zhang B, Serai S. Quantitative synthetic MRI in children: normative intracranial tissue segmentation values during development. AJNR Am J Neuroradiol. 2017;38:2364–72.
pubmed: 28982788
pmcid: 7963732
Tanenbaum LN, Tsiouris AJ, Johnson AN, Naidich TP, DeLano MC, Melhem ER, Quarterman P, Parameswaran SX, Shankaranarayanan A, Goyen M, Field AS. Synthetic MRI for clinical neuroimaging: results of the magnetic resonance image compilation (MAGiC) prospective, multicenter, multireader trial. AJNR Am J Neuroradiol. 2017;38:1103–10.
pubmed: 28450439
pmcid: 7960099
Warntjes JB, Leinhard OD, West J, Lundberg P. Rapid magnetic resonance quantification on the brain: optimization for clinical usage. Magn Reson Med. 2008;60:320–9.
pubmed: 18666127
Schmidbauer V, Geisl G, Diogo M, Weber M, Goeral K, Klebermass-Schrehof K, Berger A, Prayer D, Kasprian G. SyMRI detects delayed myelination in preterm neonates. Eur Radiol. 2019;29:7063-72.
doi: 10.1007/s00330-019-06325-2
pubmed: 31286188
pmcid: 6828642
Whittall KP, MacKay AL, Graeb DA, Nugent RA, Li DK, Paty DW. In vivo measurement of T2 distributions and water contents in normal human brain. Magn Reson Med. 1997;37:34–43.
pubmed: 8978630
Bobman SA, Riederer SJ, Lee JN, Suddarth SA, Wang HZ, MacFall JR. Synthesized MR images: comparison with acquired images. Radiology. 1985;155:731–8.
pubmed: 4001377
Bobman SA, Riederer SJ, Lee JN, Suddarth SA, Wang HZ, Drayer BP, MacFall JR. Cerebral magnetic resonance image synthesis. AJNR Am J Neuroradiol. 1985;6:265–9.
pubmed: 2984911
Riederer SJ, Suddarth SA, Bobman SA, Lee JN, Wang HZ, MacFall JR. Automated MR image synthesis: feasibility studies. Radiology. 1984;153:203–6.
pubmed: 6089265
Deichmann R. Fast high-resolution T1 mapping of the human brain. Magn Reson Med. 2005;54:20–7.
pubmed: 15968665
Henderson E, McKinnon G, Lee TY, Rutt BK. A fast 3D look-locker method for volumetric T1 mapping. Magn Reson Imaging. 1999;17:1163–71.
pubmed: 10499678
Neeb H, Zilles K, Shah NJ. A new method for fast quantitative mapping of absolute water content in vivo. Neuroimage. 2006;31:1156–68.
pubmed: 16650780
Wallaert L, Hagiwara A, Andica C, Hori M, Yamashiro K, Koshino S, Maekawa T, Kamagata K, Aoki S. The advantage of Synthetic MRI for the visualization of anterior temporal pole lesions on double inversion recovery (DIR), phase-sensitive inversion recovery (PSIR), and myelin images in a patient with CADASIL. Magn Reson Med Sci. 2018;17:275–6.
pubmed: 29238005
Arita Y, Takahara T, Yoshida S, Kwee TC, Yajima S, Ishii C, Ishii R, Okuda S, Jinzaki M, Fujii Y. Quantitative assessment of bone metastasis in prostate cancer using synthetic magnetic resonance imaging. Invest Radiol. 2019;54:638–44.
pubmed: 31192827
Park M, Moon Y, Han SH, Kim HK, Moon WJ. Myelin loss in white matter hyperintensities and normal-appearing white matter of cognitively impaired patients: a quantitative synthetic magnetic resonance imaging study. Eur Radiol. 2019;29:4914–21.
pubmed: 30488109
Krauss W, Gunnarsson M, Nilsson M, Thunberg P. Conventional and synthetic MRI in multiple sclerosis: a comparative study. Eur Radiol. 2018;28:1692–700.
pubmed: 29134354
Kang KM, Choi SH, Kim H, Hwang M, Yo RE, Yun TJ, Kim JH, Sohn CH. The effect of varying slice thickness and interslice gap on T1 and T2 measured with the multidynamic multiecho sequence. Magn Reson Med Sci. 2019;18:126–33.
pubmed: 29984783
Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159–74.
pubmed: 843571
Bonifacio SL, Glass HC, Vanderpluym J, Agrawal AT, Xu D, Barkovich AJ, Ferriero DM. Perinatal events and early magnetic resonance imaging in therapeutic hypothermia. J Pediatr. 2011;158:360–5.
pubmed: 20965514
Jacobs SE, Berg M, Hunt R, Tarnow-Mordi WO, Inder TE, Davis PG. Cooling for newborns with hypoxic ischaemic encephalopathy. Cochrane Database Syst Rev. 2013 Jan 31;(1):CD003311.
doi: 10.1002/14651858.CD003311.pub3
pubmed: 24114343
pmcid: 6599815
Gilard V, Chadie A, Ferracci FX, Brasseur-Daudruy M, Proust F, Marret S, Curey S. Post hemorrhagic hydrocephalus and neurodevelopmental outcomes in a context of neonatal intraventricular hemorrhage: an institutional experience in 122 preterm children. BMC Pediatr. 2018;18:288.
pubmed: 30170570
pmcid: 6119335
Ecury-Goossen GM, van der Haer M, Smit LS, Feijen-Roon M, Lequin M, de Jonge RC, Govaert P, Dudink J. Neurodevelopmental outcome after neonatal perforator stroke. Dev Med Child Neurol. 2016;58:49–56.
pubmed: 26212612
Liu S, An N, Yang H, Yang M, Hou Z, Liu L, Liu Y. Pediatric intractable epilepsy syndromes: reason for early surgical intervention. Brain Dev. 2007;29:69–78.
pubmed: 16930902
Gale C, Statnikov Y, Jawad S, Uthaya SN, Modi N; Brain Injuries expert working group. Neonatal brain injuries in England: population-based incidence derived from routinely recorded clinical data held in the National Neonatal Research Database. Arch Dis Child Fetal Neonatal Ed. 2018;103:F301–6.
pubmed: 29180541
Hinojosa-Rodríguez M, Harmony T, Carrillo-Prado C, Van Horn JD, Irimia A, Torgerson C, Jacokes Z. Clinical neuroimaging in the preterm infant: diagnosis and prognosis. Neuroimage Clin. 2017;16:355–68.
pubmed: 28861337
pmcid: 5568883
West H, Leach JL, Jones BV, Care M, Radhakrishnan R, Merrow AC, Alvarado E, Serai SD. Clinical validation of synthetic brain MRI in children: initial experience. Neuroradiology. 2017;59:43–50.
pubmed: 27889836
Lee SM, Choi YH, Cheon JE, Kim IO, Cho SH, Kim WH, Kim HJ, Cho HH, You SK, Park SH, Hwang MJ. Image quality at synthetic brain magnetic resonance imaging in children. Pediatr Radiol. 2017;47:1638–47.
pubmed: 28638982
Fortin M, Dobrescu O, Jarzem P, Ouellet J, Weber MH. Quantitative magnetic resonance imaging analysis of the cervical spine extensor muscles: intrarater and interrater reliability of a novice and an experienced rater. Asian Spine J. 2018;12:94–102.
pubmed: 29503688
pmcid: 5821939
Prasad BP, Bhatta RC, Chaudhary J, Sharma S, Mishra S, Cuddapah PA, Stoller NE, Yu SN, Rahman SA, Deiner M, Keenan JD, Gaynor BD. Agreement between novice and experienced trachoma graders improves after a single day of didactic training. Br J Ophthalmol. 2016;100:762–5.
pubmed: 26405104
van der Knaap MS, Valk J. Magnetic resonance of myelination and myelin disorders. 3rd ed. Berlin, Heidelberg, New York: Springer; 2005.
Barkovich AJ, Hajnal BL, Vigneron D, Sola A, Partridge JC, Allen F, Ferriero DM. Prediction of neuromotor outcome in perinatal asphyxia: evaluation of MR scoring systems. AJNR Am J Neuroradiol. 1998;19:143–9.
pubmed: 9432172
Andica C, Hagiwara A, Nakazawa M, Kumamaru KK, Hori M, Ikeno M, Shimizu T, Aoki S. Synthetic MR imaging in the diagnosis of bacterial meningitis. Magn Reson Med Sci. 2017;16:91–2.
pubmed: 28003620
Payne AH, Hintz SR, Hibbs AM, Walsh MC, Vohr BR, Bann CM, Wilson-Costello DE; Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network. Neurodevelopmental outcomes of extremely low-gestational-age neonates with low-grade periventricular-intraventricular hemorrhage. JAMA Pediatr. 2013;167:451–9.
pubmed: 23460139
pmcid: 3953349