Journals / Marmara Medical Journal / 2010 / Cilt: 23 - Sayı: 3

Beyin kitlelerinde neoplastik / neoplastik olmayan ve yüksek evre / düşük evre ayrımında mr spektroskopinin yeri

Can magnetic resonance spectroscopy adequately differentiate neoplastic from non-neoplastic and low-grade from high-grade lesions in brain masses?

Pages
326–338
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

A proposed ratio of Choline / Creatine > 2.2 and an accompanying lipid-lactate peak provide valuable information in differentiating low-grade from high-grade lesions.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Objective: The aim of this study was to evaluate the usefulness of Magnetic Resonance Spectroscopy in the differential diagnosis of brain lesions.
📊
Key Findings & Data:Forty of the 46 patients underwent stereotactic biopsy or surgery.
💡
Conclusion & Impact:A proposed ratio of Choline / Creatine > 2.2 and an accompanying lipid-lactate peak provide valuable information in differentiating low-grade from high-grade lesions.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Objective: The aim of this study was to evaluate the usefulness of Magnetic Resonance Spectroscopy in the differential diagnosis of brain lesions. Materials and Methods: Forty-six patients with cerebral lesions were examined by Magnetic Resonance Spectroscopy. Choline, creatine, N-acetyl aspartate and lipid-lactate peaks were evaluated. Forty of the 46 patients underwent stereotactic biopsy or surgery. Histopathological results were compared with the Magnetic Resonance Spectroscopy results. Results: The Choline / N- acetyl aspartate ratio had the highest sensitivity (87.2%) in neoplastic versus non-neoplastic differentiation and the specificities of the Choline / Creatine, Choline / N-acetyl aspartate and Choline+Creatine / N-acetyl aspartate ratios were found to be 100%. Choline / Creatine ratios showed the highest sensitivity (95.7%) in low-grade versus high-grade differentiation and specificities of Choline / N-acetyl aspartate, Choline+Creatine / N- acetyl aspartate ratios and lipid-lactate levels were found to be 100%. Consequently, a value of Choline / Creatine > 2.2 and an accompanying lipid-lactate peak differentiated neoplasms as low-grade versus high-grade with a sensitivity of 100% (82.2-100) and a specificity of 100% (71.7-100). Conclusion: The presence of elevated Choline and decreased N-acetyl aspartate levels are effective in the differetiation of neoplastic versus non-neoplastic lesions with high sensitivity and specificity. A proposed ratio of Choline / Creatine > 2.2 and an accompanying lipid-lactate peak provide valuable information in differentiating low-grade from high-grade lesions.

Özet

Amaç: Bu çalışmanın amacı serebral lezyonların ayırıcı tanısında Manyetik Rezonans Spektroskopinin etkinliğini araştırmaktır. Yöntem: Serebral lezyonu olan 46 olgu Manyetik Rezonans Spektroskopi ile incelendi. Kolin, kreatin, N-asetil aspartat ve lipid-laktat pikleri değerlendirildi. Kırk altı olgunun 40'ına stereotaktik biopsi ya da operasyon uygulandı. Histopatolojik sonuçlar ile Manyetik Rezonans Spektroskopi sonuçları karşılaştırıldı. Bulgular: Lezyonların neoplastik/neoplastik olmayan ayrımında Kolin/N-asetil aspartat en yüksek duyarlılığa sahipti (%87.2) ve Kolin/Kreatin, Kolin/N-asetil aspartat, Kolin+Kreatin/N-asetil aspartat oranlarının özgüllük değerleri %100 olarak hesaplandı. Düşük/yüksek evre ayrımında Kolin/Kreatin en yüksek duyarlılığa sahipti (%95.7) ve Kolin/N-asetil aspartat, Kolin+Kreatin/N-asetil aspartat, lipid-laktat oranlarının özgüllüğü %100 olarak hesaplandı. Sonuç olarak Kolin/Kreatin oranının 2.2'den yüksek olması ve eşlik eden lipid-laktat pikinin neoplastik lezyonların düşük/yüksek evre ayrımında %100 (%82.2-100) duyarlılık ve %100 (%71.7-100) özgüllüğe sahip olduğu görüldü. Sonuç: Yüksek Kolin ve düşük N-asetil aspartat piklerinin lezyonların neoplastik/neoplastik olmayan ayrımında etkili olduğu görüldü. Neoplastik lezyonların yüksek/düşük evre ayrımında ise 2.2'den yüksek Kolin/Kreatin oranı ve eşlik eden lipid-laktat pikinin değerli bilgiler verdiği sonucuna varıldı.

🔖

Cite This Article

KARATAĞ, O., KARATAĞ, G. Y., UYSAL, E., CAN, S. M., ERTÜRK, M., BAŞAK, M. (2010). Beyin kitlelerinde neoplastik / neoplastik olmayan ve yüksek evre / düşük evre ayrımında mr spektroskopinin yeri. Marmara Medical Journal, Cilt: 23 - Sayı: 3, 326–338. https://ajindex.com/articles/284427

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. Dowling C, Bollen AW, Noworolski SM, et al. Preoperative proton MR spectroscopic imaging of brain tumors: correlation with histopathologic analysis of resection specimens specimens. AJNR Am J Neuroradiol 2001; 22: 604–612
  2. Hourani R, Brant LJ, Rizk T, Weingart JD, Barker PB, Horská A. Can proton MR spectroscopic and perfusion imaging differentiate between neoplastic and nonneoplastic brain lesions in adults? AJNR Am J Neuroradiol 2008; 29:366-372
  3. Stadlbauer A, Gruber S, Nimsky C, et al. Preoperative grading of gliomas by using metabolite quantification with high-spatial-resolution proton MR spectroscopic imaging. Radiology 2006; 238:958-969
  4. Bulakbasi N, Kocaoglu M, Ors F, Tayfun C, Ucoz T. Combination of single-voxel proton MR spectroscopy and apparent diffusion coefficient calculation in the evaluation of common brain tumors. AJNR Am J Neuroradiol 2003; 24:225-233
  5. Bernstein M, Parrent AG. Complications of CT-guided stereotactic biopsy of intra-axial brain lesions. J Neurosurg 1994; 81:165–168
  6. Field M, Witham TF, Flickinger JC, Kondziolka D, Lunsford LD. Comprehensive assessment of hemorrhage risks and outcomes after stereotactic brain biopsy. J Neurosurg 2001; 94:545–551
  7. Kreth FW, Muacevic A, Medele R, Bise K, Meyer T, Reulen HJ. The risk of haemorrhage after image guided stereotactic biopsy of intra-axial brain tumours: a prospective study. Acta Neurochir (Wien) 2001; 143: 539–545
  8. Sawin PD, Hitchon PW, Follett KA, Torner JC. Computed imaging-assisted stereotactic brain biopsy: a risk analysis of 225 consecutive cases. Surg Neurol 1998; 49:640–649
  9. Yu X, Liu Z, Tian Z, Li S, Huang H, et al. Stereotactic biopsy for intracranial space-occupying lesions: clinical analysis of 550 cases. Stereotact Funct Neurosurg 2000; 75:103–108
  10. Law M, Yang S, Wang H, et al. Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging. AJNR Am J Neuroradiol 2003; 24:1989-1998
  11. Al-Okaili RN, Krejza J, Woo JH, Wolf RL, O'Rourke DM, Judy KD, et al. Intraaxial brain masses: MR imagingbased diagnostic strategy—initial experience. Radiology 2007; 243:539–550
  12. García-Gómez JM, Luts J, Julià-Sapé M, et al. Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy. MAGMA 2009; 22:5-18
  13. Lin AP, Ross BD. Short-echo time proton MR spectroscopy in the presence of gadolinium. J Comput Ass