Araştırma Makalesi
BibTex RIS Kaynak Göster

Evaluation of changes in myelination in the brain during infancy and childhood using ADC maps

Yıl 2019, Cilt: 3 Sayı: 11, 785 - 789, 01.11.2019
https://doi.org/10.28982/josam.633584

Öz

Aim: Myelinization has a critical role in achieving rapid synchronization between the neural system and high-grade cognitive functions. Because of this critical role, it is important to quantitatively determine the degree of myelination. Today, structural changes due to myelination can be evaluated quantitatively by diffusion magnetic resonance imaging (MRI) and apparent diffusion coefficient (ADC) measurements. The aim of this study was to evaluate myelination-related changes in different regions of the brain during infancy and childhood in the normal population by measuring ADC values in routine MRI examinations.

Methods: In this cross-sectional study, 109 patients aged 0-17 years who underwent brain MRI examination with 3.0T device and whose myelination and maturation were interpreted as normal in conventional sequences were evaluated. In all examinations, ADC maps from 30 different locations were evaluated and measured in the workstation based on T2-weighted images.

Results: There is a functional relationship between ADC values and the myelination process during infancy and childhood in the normal population. ADC values decrease in all localizations with increasing age, especially during the first 2 years. During the postnatal period, ADC values, which are higher in the white matter, decrease as maturation of white matter is completed and increase in the cortical gray matter. No significant difference was found between bilateral structures except the thalamus, caudate nucleus or centrum semiovale regions. There was no gender-dependent significant difference in the patients aged between zero and 2 years. 

Conclusion: ADC values for each localization can be easily obtained by diffusion weighted imaging and ADC maps, which are frequently used in routine MRI examinations. The relationship between ADC values and myelination process can be revealed in the whole brain and normative values can be obtained for multiple regions in the brain.

Kaynakça

  • 1. Helen M. Branson. Normal Myelination A Practical Pictorial Review. Neuroimaging Clin N Am. 2013;183-95.
  • 2. Bird CR, Hedberg M, Drayer BP, Keller PJ, Flom RA, Hodak JA. MR assessment of myelination in infants and children: usefulness of marker sites. AJNR Am J Neuroradiol. 1989;10:731–40.
  • 3. Barkovich AJ, Kjos BO, Jackson DE Jr, Norman D. Normal maturation of the neonatal and infant brain: MR imaging at 1.5T. Radiology. 1988;166:173–80.
  • 4. Baykan A, Ateşoğlu Karabaş S , Doğan Z , Solgun S , Özcan G , Şahin Ş, et al. Assessment of age- and sex-dependent changes of cerebellum volume in healthy individuals using magnetic resonance imaging. Journal of Surgery and Medicine. 2019;3(7):481-4.
  • 5. Dietrich RB, Bradley WG, Zaragoza EJ IV, Otto RJ, Taira RK, Wilson GH, et al. MR evaluation of early myelination patterns in normal and developmentally delayed infants. AJR Am J Roentgenol. 1988;150:889–96
  • 6. Deoni SC, Mercure E, Blasi A, Gasston D, Thomson A, Johnson M, et al. Mapping infant brain myelination with magnetic resonance imaging. J Neurosci. 2011;31(2):784–91.
  • 7. Helenius J, Soinne L, Perkiö J, Salonen O, Kangasmaki A, Kaste M, et al. Diffusion-Weighted MR Imaging in Normal Human Brains in Various Age Groups. Am J Neuroradiol. 2002;23(2):194-9.
  • 8. Mori S, Barker PB. Diffusion magnetic resonance imaging: its principle and applications. Anat Rec. 1999;257(3):102-9.
  • 9. Yoshida S, Oishi K, Fairia AV, Mori S. Diffusion tensor imaging of normal brain development. Pediatr Radiol. 2013;43:15–27.
  • 10. Jones RA, Palasis S, Grattan-Smith JD. The Evolution of the Apparent Diffusion Coefficient in the Pediatric Brain at Low and High Diffusion Weightings. Journal Of Magnetic Resonance Imaging. 2003;18:665–74.
  • 11. Neil JJ, Shiran SI, McKinstry RC, Schefft GL, Snyder AZ, Almli CR, et al. Normal brain in human newborns: apparent diffusion coefficient and diffusion anisotropy measured by using diffusion tensor MR imaging. Radiology. 1998;209:57-66.
  • 12. Huppi PS, Maier SE, Peled S, Zientara GP, Barnes PD, Jolesz FA, et al. Microstructural development of human newborn cerebral white matter assessed in vivo by diffusion tensor magnetic resonance imaging. Pediatr Res. 1998;44:584–90.
  • 13. Kehrer M, Blumenstock G, Ehehalt S, Goelz R, Poets C, Schoning M. Development of cerebral blood flow volume in preterm neonates during the first two weeks of life. Pediatr Res. 2005;58:927–30.
  • 14. Han R, Huang L, Sun Z, Zhang D, Chen X, Yang X, et al. Assessment of apparent diffusion coefficient of normal fetal brain development from gestational age week 24 up to term age: a preliminary study. Fetal Diagn Ther. 2015;37:102–7.
  • 15. Bültmann E, Joachim H, Zapf A, Hartmann H, Nagele T, Lanferman H. Changes in brain microstructure during infancy and childhood using clinical feasible ADC-maps. Childs Nerv Syst. 2017;33:735–45.
  • 16. Schneider JF, Confort-Gouny S, Le Fur Y, Viout P, Bennathan M, Chapon F, et al. Diffusion weighted imaging in normal fetal brain maturation. Eur Radiol. 2007;17:2422–9.
  • 17. Coats JS, Freeberg A, Pajela EG, Obenaus A, Ashwal S. Meta-analysis of apparent diffusion coefficients in the newborn brain. Pediatr Neurol. 2009;41:263–74.
  • 18. Engelbrecht V, Scherer A, Rassek M, Witsack HJ, Modder U. Diffusion weighted MR imaging in the brain in children: findings in the normal brain and in the brain with white matter diseases. Radiology. 2002;222:410–8.

Bebek ve çocukluk döneminde beyinde miyelinizasyon ile ilgili değişikliklerin ADC haritaları kullanılarak değerlendirilmesi

Yıl 2019, Cilt: 3 Sayı: 11, 785 - 789, 01.11.2019
https://doi.org/10.28982/josam.633584

Öz

Amaç: Nöral sistem arasında hızlı senkronizasyonun gerçekleşmesinde ve yüksek dereceli bilişsel fonksiyonların sağlanmasında myelinizasyonun kritik bir yeri vardır. Bu kritik rolü nedeniyle myelinizasyonun derecesini kantitatif olarak belirlemek çok önemlidir. Günümüzde difüzyon manyetik rezonans görüntüleme (MRG) ve apparent diffusion coefficient (ADC) ölçümleri ile myelinizasyona bağlı oluşan yapısal değişiklikler kantitatif olarak değerlendirilebilir. Çalışmamızın amacı normal popülasyonda bebeklik ve çocukluk çağında beynin farklı bölgelerinde miyelinizasyonla ilişkili değişikliklerin rutin MRG incelemelerinde ADC değerleri ölçülerek değerlendirilmesidir.

Yöntemler: Bu kesitsel çalışmada, 3.0T cihaz ile beyin MRG incelemesi yapılan ve miyelinizasyonu ve maturasyonu konvansiyonel sekanslarda normal olarak yorumlanan yaşları 0-17 arasındaki 109 hasta değerlendirildi. Tüm incelemelerde T2 ağırlıklı görüntüler baz alınarak 30 farklı lokalizasyondan ADC haritaları iş istasyonunda değerlendirilerek ölçüm yapıldı.

Bulgular: Normal populasyonda bebeklik ve çocukluk çağında miyelinizasyon süreci ve ADC değerleri arasında fonksiyonel bir ilişki bulunmaktadır. Yaş arttıkça ADC değerleri ilk 2 yaşta daha belirgin olmak üzere tüm lokalizasyonlarda azalmaktadır. Postnatal süreçte beyaz cevherde daha yüksek olan ADC değerleri beyaz cevher maturasyonu tamamlandıkça azalmakta ve kortikal gri cevherde daha yüksek hale gelmektedir. Talamus, kaudat nükleus ve santral sentrum semiovale dışında her iki hemisferde karşılıklı yapılarda anlamlı farklılık bulunmamıştır. Yapılan karşılaştırmada 0 ile 2 yaş arasındaki hastalarda cinsiyete bağlı anlamlı bir fark yoktu.

Sonuç: Beyin MRG incelemelerinde rutin pratikte sıklıkla kullanılan difüzyon ağırlıklı görüntüleme ve ADC haritaları ile her bir lokalizasyon için ADC değerleri kolayca elde edilebilmektedir. Böylelikle ADC değerleri ile miyelinizasyon süreci ilişkisi tüm beyinde ortaya konabilmekte ve beyinde multipl bölge için normatif değerler elde edilebilmektedir.

Kaynakça

  • 1. Helen M. Branson. Normal Myelination A Practical Pictorial Review. Neuroimaging Clin N Am. 2013;183-95.
  • 2. Bird CR, Hedberg M, Drayer BP, Keller PJ, Flom RA, Hodak JA. MR assessment of myelination in infants and children: usefulness of marker sites. AJNR Am J Neuroradiol. 1989;10:731–40.
  • 3. Barkovich AJ, Kjos BO, Jackson DE Jr, Norman D. Normal maturation of the neonatal and infant brain: MR imaging at 1.5T. Radiology. 1988;166:173–80.
  • 4. Baykan A, Ateşoğlu Karabaş S , Doğan Z , Solgun S , Özcan G , Şahin Ş, et al. Assessment of age- and sex-dependent changes of cerebellum volume in healthy individuals using magnetic resonance imaging. Journal of Surgery and Medicine. 2019;3(7):481-4.
  • 5. Dietrich RB, Bradley WG, Zaragoza EJ IV, Otto RJ, Taira RK, Wilson GH, et al. MR evaluation of early myelination patterns in normal and developmentally delayed infants. AJR Am J Roentgenol. 1988;150:889–96
  • 6. Deoni SC, Mercure E, Blasi A, Gasston D, Thomson A, Johnson M, et al. Mapping infant brain myelination with magnetic resonance imaging. J Neurosci. 2011;31(2):784–91.
  • 7. Helenius J, Soinne L, Perkiö J, Salonen O, Kangasmaki A, Kaste M, et al. Diffusion-Weighted MR Imaging in Normal Human Brains in Various Age Groups. Am J Neuroradiol. 2002;23(2):194-9.
  • 8. Mori S, Barker PB. Diffusion magnetic resonance imaging: its principle and applications. Anat Rec. 1999;257(3):102-9.
  • 9. Yoshida S, Oishi K, Fairia AV, Mori S. Diffusion tensor imaging of normal brain development. Pediatr Radiol. 2013;43:15–27.
  • 10. Jones RA, Palasis S, Grattan-Smith JD. The Evolution of the Apparent Diffusion Coefficient in the Pediatric Brain at Low and High Diffusion Weightings. Journal Of Magnetic Resonance Imaging. 2003;18:665–74.
  • 11. Neil JJ, Shiran SI, McKinstry RC, Schefft GL, Snyder AZ, Almli CR, et al. Normal brain in human newborns: apparent diffusion coefficient and diffusion anisotropy measured by using diffusion tensor MR imaging. Radiology. 1998;209:57-66.
  • 12. Huppi PS, Maier SE, Peled S, Zientara GP, Barnes PD, Jolesz FA, et al. Microstructural development of human newborn cerebral white matter assessed in vivo by diffusion tensor magnetic resonance imaging. Pediatr Res. 1998;44:584–90.
  • 13. Kehrer M, Blumenstock G, Ehehalt S, Goelz R, Poets C, Schoning M. Development of cerebral blood flow volume in preterm neonates during the first two weeks of life. Pediatr Res. 2005;58:927–30.
  • 14. Han R, Huang L, Sun Z, Zhang D, Chen X, Yang X, et al. Assessment of apparent diffusion coefficient of normal fetal brain development from gestational age week 24 up to term age: a preliminary study. Fetal Diagn Ther. 2015;37:102–7.
  • 15. Bültmann E, Joachim H, Zapf A, Hartmann H, Nagele T, Lanferman H. Changes in brain microstructure during infancy and childhood using clinical feasible ADC-maps. Childs Nerv Syst. 2017;33:735–45.
  • 16. Schneider JF, Confort-Gouny S, Le Fur Y, Viout P, Bennathan M, Chapon F, et al. Diffusion weighted imaging in normal fetal brain maturation. Eur Radiol. 2007;17:2422–9.
  • 17. Coats JS, Freeberg A, Pajela EG, Obenaus A, Ashwal S. Meta-analysis of apparent diffusion coefficients in the newborn brain. Pediatr Neurol. 2009;41:263–74.
  • 18. Engelbrecht V, Scherer A, Rassek M, Witsack HJ, Modder U. Diffusion weighted MR imaging in the brain in children: findings in the normal brain and in the brain with white matter diseases. Radiology. 2002;222:410–8.
Toplam 18 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Radyoloji ve Organ Görüntüleme
Bölüm Araştırma makalesi
Yazarlar

Mustafa Özkan 0000-0002-5550-9723

İsmail Taşkent 0000-0001-6278-7863

Memik Teke Bu kişi benim 0000-0002-8695-6171

Yayımlanma Tarihi 1 Kasım 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 3 Sayı: 11

Kaynak Göster

APA Özkan, M., Taşkent, İ., & Teke, M. (2019). Evaluation of changes in myelination in the brain during infancy and childhood using ADC maps. Journal of Surgery and Medicine, 3(11), 785-789. https://doi.org/10.28982/josam.633584
AMA Özkan M, Taşkent İ, Teke M. Evaluation of changes in myelination in the brain during infancy and childhood using ADC maps. J Surg Med. Kasım 2019;3(11):785-789. doi:10.28982/josam.633584
Chicago Özkan, Mustafa, İsmail Taşkent, ve Memik Teke. “Evaluation of Changes in Myelination in the Brain During Infancy and Childhood Using ADC Maps”. Journal of Surgery and Medicine 3, sy. 11 (Kasım 2019): 785-89. https://doi.org/10.28982/josam.633584.
EndNote Özkan M, Taşkent İ, Teke M (01 Kasım 2019) Evaluation of changes in myelination in the brain during infancy and childhood using ADC maps. Journal of Surgery and Medicine 3 11 785–789.
IEEE M. Özkan, İ. Taşkent, ve M. Teke, “Evaluation of changes in myelination in the brain during infancy and childhood using ADC maps”, J Surg Med, c. 3, sy. 11, ss. 785–789, 2019, doi: 10.28982/josam.633584.
ISNAD Özkan, Mustafa vd. “Evaluation of Changes in Myelination in the Brain During Infancy and Childhood Using ADC Maps”. Journal of Surgery and Medicine 3/11 (Kasım 2019), 785-789. https://doi.org/10.28982/josam.633584.
JAMA Özkan M, Taşkent İ, Teke M. Evaluation of changes in myelination in the brain during infancy and childhood using ADC maps. J Surg Med. 2019;3:785–789.
MLA Özkan, Mustafa vd. “Evaluation of Changes in Myelination in the Brain During Infancy and Childhood Using ADC Maps”. Journal of Surgery and Medicine, c. 3, sy. 11, 2019, ss. 785-9, doi:10.28982/josam.633584.
Vancouver Özkan M, Taşkent İ, Teke M. Evaluation of changes in myelination in the brain during infancy and childhood using ADC maps. J Surg Med. 2019;3(11):785-9.