Öz
Çoğu santral sinir sistemi (SSS) tümörlerinin ve tümör
olmayan lezyonların oldukça benzer görünümler sergilemesinden dolayı rutin
Manyetik Rezonans Görüntüleme (MRG) sekanslarının özgüllükleri bunları ayırmada
yetersizdir. SSS tümörlerinin ayırıcı tanısında anahtar unsurlar, lezyonun
lokalizasyonu (intra- veya extra-aksiyel, infra- veya supra-tentoriyal) ile
birlikte hastanın yaşıdır. Multiparametrik MRG tekniklerini (Spektroskopi,
Difüzyon Ağırlıklı Görüntüleme, Difüzyon Tensor Görüntüleme, Perfüzyon Ağırlıklı
Görüntüleme, Fonksiyonel MRG), tümörün mikroskobik ve fonksiyonel davranışına ilişkin
(hücresel yoğunluk, neo-vaskularizasyon, kapiller sızıntı ve metabolitler gibi)
bilgiler sunar. İleri multiparametrik görüntüleme teknikleri SSS tümörü olan
hastaların teşhisi, yönetimi ve takibinde kesin ve güvenilir invaziv olmayan
bir yöntem sunar.
Anahtar Kelimeler
Kaynakça
- 1. Steven AJ, Zhuo J, Melhem ER. Diffusion kurtosis imaging: an emerging technique for evaluating the microstructural environment of the brain. Am J Roentgenol 2014;202(1):W26-33
- 2. Avcı MT, Kitiş Ö. Beyin tümörü görüntülemede temel ilkeler. Turkiye Klinikleri J Radiol-Special Topics 2017;10(2):118-28
- 3. Brandao LA, Shiroishi MS, Law M. Brain tumors: a multimodality approach with diffusion-weighted imaging, diffusion tensor imaging, magnetic resonance spectroscopy, dynamic susceptibility contrast and dynamic contrast-enhanced magnetic resonance imaging. Magn Reson Imaging Clin N Am 2013;21(2):199-239
- 4. Ertekin E, Özsunar Dayanır Y. Beyin tümörlerinde ileri MR görüntüleme. Turkiye Klinikleri J Radiol-Special Topics 2017;10(2):129-39
- 5. Lequin M, Hendrikse J. Advanced MR imaging in pediatric brain tumors. Clinical applications. Neuroimaging Clin N Am 2017;27(1):167-190
- 6. Provenzale JM, Mukundan S, Barboriak DP. Diffusion-weighted and perfusion MR imaging for brain tumor characterization and assessment of treatment response. Radiology 2006;239(3):632-49
- 7. Kimura M, da Cruz LC Jr. Multiparametric MR imaging in the assessment of brain tumors. Magn Reson Imaging Clin N Am 2016;24(1):87-122
- 8. Castellano A, Falini A. Progress in neuro-imaging of brain tumors. Curr Opin Oncol 2016;28(6):484-493
- 9. Cha S. Neuroimaging in neuro-oncology. Neurotherapeutics 2009;6(3):465-77
- 10. Nakamura H, Doi M, Suzuki T, Yoshida Y, et al. The significance of lactate and lipid peaks for predicting primary neuroepithelial tumor grade with proton MR spectroscopy. Magn REson Med Sci 2017; Aug 16 [Epub ahead of print]
- 11. Wu EX, Cheung MM. MR diffusion kurtosis imaging for neural tissue characterization. NMR Biomed 2010;23(7):836-48
- 12. Hori M, Fukunaga I, Masutani Y, Taoka T, et al. Visualizing non-Gaussian diffusion: clinical application of q-space imaging and diffusional kurtosis imaging of the brain and spine. Magn Reson Med Sci 2012;11(4):221-33
Öz
Many Central
Nerve System (CNS) tumors and even non–tumoral lesions may show a very similar
imaging appearance; therefore,
routine Magnetic Resonance Imaging (MRI) are lack of specificity to
differentiate these lesions. The key points in the differential diagnosis of
CNS tumors are the location of the lesion (intra- or extra-axial, infra- or
extra-tentorial) and the age of the patient. Multiparametric MRI techniques
(Spectroscopy, Diffusion Weighted Imaging, Diffusion Tensor Imaging, Perfusion
Weighted Imaging, Functional MRI) reveal the information about the microscopic
and functional behaviors of the tumor (cellular density, neo-vascularization,
capillary leakage and metabolites, etc). Advanced multiparametric imaging tools
support the diagnosis, management and follow-up of patients with CNS tumors as
an accurate and reliable noninvasive technique.
Anahtar Kelimeler
Kaynakça
- 1. Steven AJ, Zhuo J, Melhem ER. Diffusion kurtosis imaging: an emerging technique for evaluating the microstructural environment of the brain. Am J Roentgenol 2014;202(1):W26-33
- 2. Avcı MT, Kitiş Ö. Beyin tümörü görüntülemede temel ilkeler. Turkiye Klinikleri J Radiol-Special Topics 2017;10(2):118-28
- 3. Brandao LA, Shiroishi MS, Law M. Brain tumors: a multimodality approach with diffusion-weighted imaging, diffusion tensor imaging, magnetic resonance spectroscopy, dynamic susceptibility contrast and dynamic contrast-enhanced magnetic resonance imaging. Magn Reson Imaging Clin N Am 2013;21(2):199-239
- 4. Ertekin E, Özsunar Dayanır Y. Beyin tümörlerinde ileri MR görüntüleme. Turkiye Klinikleri J Radiol-Special Topics 2017;10(2):129-39
- 5. Lequin M, Hendrikse J. Advanced MR imaging in pediatric brain tumors. Clinical applications. Neuroimaging Clin N Am 2017;27(1):167-190
- 6. Provenzale JM, Mukundan S, Barboriak DP. Diffusion-weighted and perfusion MR imaging for brain tumor characterization and assessment of treatment response. Radiology 2006;239(3):632-49
- 7. Kimura M, da Cruz LC Jr. Multiparametric MR imaging in the assessment of brain tumors. Magn Reson Imaging Clin N Am 2016;24(1):87-122
- 8. Castellano A, Falini A. Progress in neuro-imaging of brain tumors. Curr Opin Oncol 2016;28(6):484-493
- 9. Cha S. Neuroimaging in neuro-oncology. Neurotherapeutics 2009;6(3):465-77
- 10. Nakamura H, Doi M, Suzuki T, Yoshida Y, et al. The significance of lactate and lipid peaks for predicting primary neuroepithelial tumor grade with proton MR spectroscopy. Magn REson Med Sci 2017; Aug 16 [Epub ahead of print]
- 11. Wu EX, Cheung MM. MR diffusion kurtosis imaging for neural tissue characterization. NMR Biomed 2010;23(7):836-48
- 12. Hori M, Fukunaga I, Masutani Y, Taoka T, et al. Visualizing non-Gaussian diffusion: clinical application of q-space imaging and diffusional kurtosis imaging of the brain and spine. Magn Reson Med Sci 2012;11(4):221-33
Ayrıntılar
| Birincil Dil | Türkçe |
|---|---|
| Konular | İç Hastalıkları |
| Bölüm | Derleme |
| Yazarlar | |
| Yayımlanma Tarihi | 12 Mart 2018 |
| Gönderilme Tarihi | 20 Ocak 2018 |
| Kabul Tarihi | 23 Ocak 2018 |
| Yayımlandığı Sayı | Yıl 2018 Cilt: 2 Sayı: 1 |
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