Journals / Acta Medica Alanya / 2026 / Cilt: 2 Sayı: 1

Imaging of Central Nervous System Tumors

Santral Sinir Sistemi Tümörlerinin Görüntülenmesi

Alptekin Tosun(GİRESUN ÜNİVERSİTESİ, TIP FAKÜLTESİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ, RADYOLOJİ ANABİLİM DALI)0000-0003-1783-9171
İsmail Şerifoğlu(İSTANBUL BAĞCILAR EĞİTİM VE ARAŞTIRMA HASTANESİ, RADYOLOJİ)
Pages
56–61
Publication Date
2018-03-12
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Advanced multiparametric imaging tools support the diagnosis, management and follow-up of patients with CNS tumors as an accurate and reliable noninvasive technique.

📌 3 Key Takeaways

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Objective & Hypothesis: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.
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Key Findings & Data: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.
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Conclusion & Impact:Advanced multiparametric imaging tools support the diagnosis, management and follow-up of patients with CNS tumors as an accurate and reliable noninvasive technique.
🔬Design:Derleme
📍Scope:Comprehensive Sample
⚙️Variables:santral sinir sistemi · tümör · görüntüleme

Abstract

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.

Özet

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.

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Cite This Article

Şerifoğlu, İ. (2018). Imaging of Central Nervous System Tumors. Acta Medica Alanya, Cilt: 2 Sayı: 1, 56–61. https://doi.org/10.30565/medalanya.381802

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References (12)

  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