Quantitative Analysis of Punctate White Matter Lesions in Neonates Using Quantitative Susceptibility Mapping and R2* Relaxation

REFERENCES

1. 1.↵
   2. Horbar JD,
   3. Badger GJ,
   4. Carpenter JH, et al

   ; Members of the Vermont Oxford Network. Trends in mortality and morbidity for very low birth weight infants, 1991–1999. Pediatrics 2002;110(1 Pt 1):143–51 doi:10.1542/peds.110.1.143 pmid:12093960

   Abstract/FREE Full Text
2. 2.↵
   2. van den Hout BM,
   3. de Vries LS,
   4. Meiners LC, et al

   . Visual perceptual impairment in children at 5 years of age with perinatal haemorrhagic or ischaemic brain damage in relation to cerebral magnetic resonance imaging. Brain Dev 2004;26:251–61 doi:10.1016/S0387-7604(03)00163-3 pmid:15130692

   CrossRefPubMedWeb of Science
3. 3.↵
   2. Grunau RE,
   3. Whitfield MF,
   4. Davis C

   . Pattern of learning disabilities in children with extremely low birth weight and broadly average intelligence. Arch Pediatr Adolesc Med 2002;156:615–20 doi:10.1001/archpedi.156.6.615 pmid:12038896

   CrossRefPubMedWeb of Science
4. 4.↵
   2. Hamrick SE,
   3. Miller SP,
   4. Leonard C, et al

   . Trends in severe brain injury and neurodevelopmental outcome in premature newborn infants: the role of cystic periventricular leukomalacia. J Pediatr 2004;145:593–99 doi:10.1016/j.jpeds.2004.05.042 pmid:15520756

   CrossRefPubMedWeb of Science
5. 5.↵
   2. Maalouf EF,
   3. Duggan PJ,
   4. Counsell SJ, et al

   . Comparison of findings on cranial ultrasound and magnetic resonance imaging in preterm infants. Pediatrics 2001;107:719–27 doi:10.1542/peds.107.4.719 pmid:11335750

   Abstract/FREE Full Text
6. 6.↵
   2. Inder TE,
   3. Anderson NJ,
   4. Spencer C, et al

   . White matter injury in the premature infant: a comparison between serial cranial sonographic and MR findings at term. AJNR Am J Neuroradiol 2003;24:805–09 pmid:12748075

   Abstract/FREE Full Text
7. 7.↵
   2. Inder TE,
   3. Wells SJ,
   4. Mogridge NB, et al

   . Defining the nature of the cerebral abnormalities in the premature infant: a qualitative magnetic resonance imaging study. J Pediatr 2003;143:171–79 doi:10.1067/S0022-3476(03)00357-3 pmid:12970628

   CrossRefPubMedWeb of Science
8. 8.↵
   2. Miller SP,
   3. Cozzio CC,
   4. Goldstein RB, et al

   . Comparing the diagnosis of white matter injury in premature newborns with serial MR imaging and transfontanel ultrasonography findings. AJNR Am J Neuroradiol 2003;24:1661–69 pmid:13679289

   Abstract/FREE Full Text
9. 9.↵
   2. Debillon T,
   3. N′Guyen S,
   4. Muet A, et al

   . Limitations of ultrasonography for diagnosing white matter damage in preterm infants. Arch Dis Child Fetal Neonatal Ed 2003;88:F275–79 doi:10.1136/fn.88.4.F275 pmid:12819157

   Abstract/FREE Full Text
10. 10.↵
    2. Schouman-Claeys E,
    3. Henry-Feugeas MC,
    4. Roset F, et al

    . Periventricular leukomalacia: correlation between MR imaging and autopsy findings during the first 2 months of life. Radiology 1993;189:59–64 doi:10.1148/radiology.189.1.8372220 pmid:8372220

    CrossRefPubMedWeb of Science
11. 11.↵
    2. Riddle A,
    3. Dean J,
    4. Buser JR, et al

    . Histopathological correlates of magnetic resonance imaging-defined chronic perinatal white matter injury. Ann Neurol 2011;70:493–507 doi:10.1002/ana.22501 pmid:21796666

    CrossRefPubMed
12. 12.↵
    2. Jeon TY,
    3. Kim JH,
    4. Yoo SY, et al

    . Neurodevelopmental outcomes in preterm infants: comparison of infants with and without diffuse excessive high signal intensity on MR images at near-term-equivalent age. Radiology 2012;263:518–26 doi:10.1148/radiol.12111615 pmid:22403166

    CrossRefPubMed
13. 13.↵
    2. Miller SP,
    3. Ferriero DM,
    4. Leonard C, et al

    . Early brain injury in premature newborns detected with magnetic resonance imaging is associated with adverse early neurodevelopmental outcome. J Pediatr 2005;147:609–16 doi:10.1016/j.jpeds.2005.06.033 pmid:16291350

    CrossRefPubMedWeb of Science
14. 14.↵
    2. Dyet LE,
    3. Kennea N,
    4. Counsell SJ, et al

    . 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 doi:10.1542/peds.2005-1866 pmid:16882805

    Abstract/FREE Full Text
15. 15.↵
    2. Cornette LG,
    3. Tanner SF,
    4. Ramenghi LA, et al

    . Magnetic resonance imaging of the infant brain: anatomical characteristics and clinical significance of punctate lesions. Arch Dis Child Fetal Neonatal Ed 2002;86:F171–77 doi:10.1136/fn.86.3.F171 pmid:11978747

    Abstract/FREE Full Text
16. 16.↵
    2. Keeney SE,
    3. Adcock EW,
    4. McArdle CB

    . Prospective observations of 100 high-risk neonates by high-field (1.5 Tesla) magnetic resonance imaging of the central nervous system, II: lesions associated with hypoxic-ischemic encephalopathy. Pediatrics 1991;87:431–38 pmid:2011418

    Abstract/FREE Full Text
17. 17.↵
    2. Baenziger O,
    3. Martin E,
    4. Steinlin M, et al

    . Early pattern recognition in severe perinatal asphyxia: a prospective MRI study. Neuroradiology 1993;35:437–42 doi:10.1007/BF00602824 pmid:8377915

    CrossRefPubMedWeb of Science
18. 18.↵
    2. Battin MR,
    3. Maalouf EF,
    4. Counsell SJ, et al

    . Magnetic resonance imaging of the brain in very preterm infants: visualization of the germinal matrix, early myelination, and cortical folding. Pediatrics 1998;101:957–62 doi:10.1542/peds.101.6.957 pmid:9606219

    Abstract/FREE Full Text
19. 19.↵
    2. Mercuri E,
    3. Rutherford M,
    4. Cowan F, et al

    . Early prognostic indicators of outcome in infants with neonatal cerebral infarction: a clinical, electroencephalogram, and magnetic resonance imaging study. Pediatrics 1999;103:39–46 doi:10.1542/peds.103.1.39 pmid:9917437

    Abstract/FREE Full Text
20. 20.↵
    2. Ramenghi LA,
    3. Fumagalli M,
    4. Righini A, et al

    . Magnetic resonance imaging assessment of brain maturation in preterm neonates with punctate white matter lesions. Neuroradiology 2007;49:161–67 doi:10.1007/s00234-006-0176-y pmid:17119946

    CrossRefPubMedWeb of Science
21. 21.↵
    2. Cheng I,
    3. Miller SP,
    4. Duerden EG, et al

    . Stochastic process for white matter injury detection in preterm neonates. Neuroimage Clin 2015;7:622–30 doi:10.1016/j.nicl.2015.02.015 pmid:25844316

    CrossRefPubMed
22. 22.↵
    2. Niwa T,
    3. de Vries LS,
    4. Benders MJ, et al

    . Punctate white matter lesions in infants: new insights using susceptibility-weighted imaging. Neuroradiology 2011;53:669–79 doi:10.1007/s00234-011-0872-0 pmid:21553013

    CrossRefPubMed
23. 23.↵
    2. Gano D,
    3. Andersen SK,
    4. Partridge JC, et al

    . Diminished white matter injury over time in a cohort of premature newborns. J Pediatr 2015;166:39–43 doi:10.1016/j.jpeds.2014.09.009 pmid:25311709

    CrossRefPubMed
24. 24.↵
    2. Yablonskiy DA,
    3. Haacke EM

    . Theory of NMR signal behavior in magnetically inhomogeneous tissues: the static dephasing regime. Magn Reson Med 1994;32:749–63 doi:10.1002/mrm.1910320610 pmid:7869897

    CrossRefPubMedWeb of Science
25. 25.↵
    2. Deistung A,
    3. Schweser F,
    4. Reichenbach JR

    . Overview of quantitative susceptibility mapping. NMR Biomed 2017;30 doi:10.1002/nbm.3569 pmid:27434134

    CrossRefPubMed
26. 26.↵
    2. Denk C,
    3. Rauscher A

    . Susceptibility weighted imaging with multiple echoes. J Magn Reson Imaging 2010;31:185–91 doi:10.1002/jmri.21995 pmid:20027586

    CrossRefPubMed
27. 27.↵
    2. Schofield MA,
    3. Zhu Y

    . Fast phase unwrapping algorithm for interferometric applications. Opt Lett 2003;28:1194–96 doi:10.1364/OL.28.001194 pmid:12885018

    CrossRefPubMed
28. 28.↵
    2. Li W,
    3. Wu B,
    4. Liu C

    . Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition. Neuroimage 2011;55:1645–56 doi:10.1016/j.neuroimage.2010.11.088 pmid:21224002

    CrossRefPubMedWeb of Science
29. 29.↵
    2. Kames C,
    3. Wiggermann V,
    4. Rauscher A

    . Rapid two-step dipole inversion for susceptibility mapping with sparsity priors. Neuroimage 2018;167:276–83 doi:10.1016/j.neuroimage.2017.11.018 pmid:29138089

    CrossRefPubMed
30. 30.↵
    2. Koo TK,
    3. Li MY

    . A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 2016;15:155–63 doi:10.1016/j.jcm.2016.02.012 pmid:27330520

    CrossRefPubMed
31. 31.↵
    2. Mori N,
    3. Miki Y,
    4. Kikuta K, et al

    . Microbleeds in moyamoya disease: susceptibility-weighted imaging versus T2*-weighted imaging at 3 Tesla. Invest Radiol 2008;43:574–79 doi:10.1097/RLI.0b013e31817fb432 pmid:18648257

    CrossRefPubMed
32. 32.↵
    2. Nandigam RN,
    3. Viswanathan A,
    4. Delgado P, et al

    . MR imaging detection of cerebral microbleeds: effect of susceptibility-weighted imaging, section thickness, and field strength. AJNR Am J Neuroradiol 2009;30:338–43 doi:10.3174/ajnr.A1355 pmid:19001544

    Abstract/FREE Full Text
33. 33.↵
    2. Wang Y,
    3. Spincemaille P,
    4. Liu Z, et al

    . Clinical quantitative susceptibility mapping (QSM): biometal imaging and its emerging roles in patient care. J Magn Reson Imaging 2017;46:951–71 doi:10.1002/jmri.25693 pmid:28295954

    CrossRefPubMed
34. 34.↵
    2. Barbosa JH,
    3. Santos AC,
    4. Tumas V, et al

    . Quantifying brain iron deposition in patients with Parkinson's disease using quantitative susceptibility mapping, R2 and R2. Magn Reson Imaging 2015;33:559–65 doi:10.1016/j.mri.2015.02.021 pmid:25721997

    CrossRefPubMed
35. 35.↵
    2. Liu T,
    3. Eskreis-Winkler S,
    4. Schweitzer AD, et al

    . Improved subthalamic nucleus depiction with quantitative susceptibility mapping. Radiology 2013;269:216–23 doi:10.1148/radiol.13121991 pmid:23674786

    CrossRefPubMed
36. 36.↵
    2. Sharma SD,
    3. Fischer R,
    4. Schoennagel BP, et al

    . MRI-based quantitative susceptibility mapping (QSM) and R2* mapping of liver iron overload: comparison with SQUID-based biomagnetic liver susceptometry. Magn Reson Med 2017;78:264–70 doi:10.1002/mrm.26358 pmid:27509836

    CrossRefPubMed
37. 37.↵
    2. Acosta-Cabronero J,
    3. Betts MJ,
    4. Cardenas-Blanco A, et al

    . In vivo MRI mapping of brain iron deposition across the adult lifespan. J Neurosci 2016;36:364–74 doi:10.1523/JNEUROSCI.1907-15.2016 pmid:26758829

    Abstract/FREE Full Text
38. 38.↵
    2. Meguro R,
    3. Asano Y,
    4. Odagiri S, et al

    . Cellular and subcellular localizations of nonheme ferric and ferrous iron in the rat brain: a light and electron microscopic study by the perfusion-Perls and -Turnbull methods. Arch Histol Cytol 2008;71:205–22 doi:10.1679/aohc.71.205 pmid:19359804

    CrossRefPubMedWeb of Science