한국산학기술학회논문지 (Journal of the Korea Academia-Industrial cooperation Society)

  • 제14권1호
  • /
  • Pages.223-228
  • /
  • 2013
  • /
  • 1975-4701(pISSN)
  • /
  • 2288-4688(eISSN)
한국산학기술학회 (The Korea Academia-Industrial cooperation Society)
권호 표지
DOI QR코드

DOI QR Code

뇌 허혈성 질환 확산텐서영상(DTI6D)의 임상적 유용성에 관한 연구

A Study on Usefulness of Diffusion Tensor Imaging (DTI6D) in Brain Ischemic Disease

  • 구은회 (청주대학교 방사선학과)
  • Goo, Eunhoe (Department of Radiological Science, Cheongju University)
  • 투고 : 2012.10.22
  • 심사 : 2012.01.10
  • 발행 : 2013.01.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 연구은 $DWI_{3D}$와 비교하여 6방향의 확산영상을 획득하여 $DTI_{6D}$의 유용성을 평가하고자 한다. 뇌 허혈성질환의 진단을 받은 환자 42명을 대상으로 1.5T 자기공명영상장치(Excite HD, GE, USA)를 이용하여 검사를 하였다. 사용된 펄스시퀀스는 $DWI_{3D}$와 $DTI_{6D}$를 사고하였고, 두 $DWI_{3D}$ and $DTI_{6D}$에 관하여 평균 신호대 잡음비 와 대조도대 잡음비는 $DTI_{6D}$ $42.82{\pm}14.79$, $37.15{\pm}11.43$ (p=0.029) and $18.47{\pm}9.59$, $19.88{\pm}9.10$(p=0.017)이었다. 병소에 수는 $DTI_{6D}$ and $DWI_{3D}$에 관하여 305, 219(p=0.041) 이었다. 총42명의 환자 중 20명의 환자에 대하여 $DTI_{6D}$가 뇌경색(brain infarction)부분에 대하여 더욱더 많은 병소부분이 검출되었다. 그리고 3방향이상의 확산영상은 더욱더 많은 뇌 허혈성지환의 영상정보를 제공하였다. 그러나, 임상적으로 $DWI_{3D}$와 비교했을 때 긴 검사 시간에 대하여 고려할 필요가 있다.

We evaluated the usefulness of $DTI_{6D}$ which was acquiring six direction diffusion data through compared to $DWI_{3D}$. Mean SNR and CNR were on $DWI_{3D}$ and $DTI_{6D}$ $44.01{\pm}13.36$, $37.15{\pm}11.44$ (p=0.029) and $18.47{\pm}9.66$, $19.88{\pm}9.20$(p=0.017). The number of lesions were $311{\pm}26.87$, $224.5{\pm}26.16$(p=0.041) on $DTI_{6D}$ and $DWI_{3D}$. Twenty patients were the more detected brain infarction lesion on $DTI_{6D}$. But there is no one the more detected on $DWI_{3D}$. And the more three direction diffusion data could get more information. However, we need to consider about the time consumption compared to DWI.

키워드

참고문헌

  1. H. Y. Choi, D. S. Choi, J. W. Ryoo, et al., "Diffusion-weighted MR of Hypoxic-Ischemic Encephalopathy", J. Korean Soc. Magn. Reson. Med., Vol. 12, No. 1, pp. 49-53, 2008.
  2. A. Drier, T. Tourdias, I. Sibon, et al., "Prediction of Subacute Infarct Size in Acute Middle Cerebral Artery Stroke: Comparison of Perfusion-weighted Imaging and Apparent Diffusion Coefficient Maps", Radiology, Vol. 265, No. 2, pp. 511-517, 2012. DOI: http://dx.doi.org/10.1148/radiol.12112430
  3. P. W. Schaefer, P. Ellen Grant, and R. Gilberto Gonzalez, "Diffusion-weighted MR Imaging of the Brain", Radiology, Vol. 217, No. 2, pp. 331-345, 2000. https://doi.org/10.1148/radiology.217.2.r00nv24331
  4. W. S. Jun, "Anisotropy Measurement and Fiber Tracking of the White Matter by Using Diffusion Tensor MR Imaging: Influence of the Number of Diffusion-Sensitizing Gradient Direction", J. Korean Soc. Magn. Reson. Med., Vol. 10, No. 1, pp. 1-7, 2006.
  5. A. G. Sorensen, Ona Wu, W. A. Copen, et al., "Human Acute Cerebral Ischemia: Detection of Changes in Water Diffusion Anisotropy by Using MR Imaging", Radiology, Vol. 212, No. 3, pp. 785-792, 1999. https://doi.org/10.1148/radiology.212.3.r99se24785
  6. D. G. Na, Eung Yeop Kim, Jae Wook Ryoo, et al., "CT Sign of Brain Swelling without Concomitant Parenchymal Hypoattenuation: Comparison with Diffusionand Perfusion-weighted MR Imaging", Radiology, Vol. 235, No. 3, pp. 992-948, 2005. https://doi.org/10.1148/radiol.2353040571
  7. S. K. Lee, "Clinical application of Diffusion Tensor Imaging MRI", J. Korean Soc. Magn. Reson. Med., Vol. 6, No 2, pp. 114-110, 2002.
  8. Y. Liu, "Subarachnoid Hemorrhage in the Subacute Stage: Elevated Apparent Diffusion Coefficient in Normal-appearing Brain Tissue after Treatment", Radiology, Vol. 242, No. 2, pp. 518-525, 2007. DOI: http://dx.doi.org/10.1148/radiol.2422051698
  9. S. J. Price, "Imaging biomarkers of brain tumour margin and tumour invasion", British Journal of Radiology, Vol. 84, No. 2, pp. 159-S167, 2011. DOI: http://dx.doi.org/10.1259/bjr/26838774
  10. I. C. Song, "Theoretical and Experimental study on Diffusion Tensor Imaging Technique", J. Korean Soc. Magn. Reson. Med., Vol. 6, No. 2, pp. 107-113, 2002.
  11. A. Stadlbauer, "Fiber Density Mapping of Gliomas: Histopathologic Evaluation of a Diffusion-Tensor Imaging Data Processing Method", Radiology, Vol. 257, No. 3, pp. 846-853, 2010. DOI: http://dx.doi.org/10.1148/radiol.10100343
  12. L. Tang, X. P. Zhang, Y. S. Sun, et al., "Gastrointestinal Stromal Tumors Treated with Imatinib Mesylate: Apparent Diffusion Coefficient in the Evaluation of Therapy Response in Patients", Radiology, Vol. 258, No. 3, pp. 729-738, 2011. DOI: http://dx.doi.org/10.1148/radiol.10100402
  13. H. Chalian, S. M. Tochetto, H. G. Tore, et al., "Hepatic Tumors: Region-of-Interest versus Volumetric Analysis for Quantification of Attenuation at CT", Radiology, Vol. 262, No. 3, pp. 853-861, 2012. https://doi.org/10.1148/radiol.11110106
  14. M. A. Rocca, M. Absinta, L. Moiola, et al., "Functional and Structural Connectivity of the Motor Network in Pediatric and Adult-Onset Relapsing-Remitting Multiple Sclerosis", Radiology, Vol. 254, No. 2, pp. 541-550, 2010. DOI: http://dx.doi.org/10.1148/radiol.09090463
  15. R. J. Sevick, F. Kanda, J. Mintorovitch, et al., "Cytotoxic brain edema: assessment with diffusion weighted MR imaging", Radiology, Vol. 185, No. 3, pp.687-690, 1992. https://doi.org/10.1148/radiology.185.3.1438745
  16. E. R. Melhem, "Diffusion tensor imaging of the brain: effect of diffusion weighting on trace andanisotropy measurement", AJNR Am J Neuroradiol, Vol. 21, No. 18, pp. 1813-1820, 2000.
  17. C. Pierpaoli, "Toward a quantitative assessment of diffusion anisotropy". Magn Reson Med, Vol. 36, No. 6, pp. 893-906, 1996. DOI: http://dx.doi.org/10.1002/mrm.1910360612
  18. I. S. Kim, "Image Reconstruction of Eigenvalue of Diffusion Principal Axis using Diffusion Tensor Imaging", J. Korean Soc. Magn. Reson. Med., Vol. 11, No 2, pp. 110-118, 2007.
  19. S. H. Heo, "Acute Cerebral Infarction in a Rabbit Model: Perfusion and Diffusion MR Imaging", J. Korean Soc. Magn. Reson. Med., Vol. 7, No 2, pp. 116-123, 2003.
  20. S. K. Lee, "Measurement of Fractional Anisotropy in Normal Cerebral White Matter and Brain Tumors with Diffusion Tensor Imaging", J. Korean Soc. Magn. Reson. Med., Vol. 7, No 2, pp. 147-153, 2002.
  21. M. E. Moseley, J. Kucharczyk, j. Mintorovitch, et al., "Diffusion weighted MR imaging of acute stroke: correlation with T2 weighted and magnetic susceptibility-enhanced MR imaging in cats", AJNR. Am. J. Neuroradiol., Vol. 11, No. 3, pp. 422-432, 1990.
  22. C. H. Sotak, "The role of diffusion tensor imaging in the evaluation of ischemic brain injury: a review", NMR Biomed., Vol. 15, No. 7, pp. 561-569, 2002. DOI: http://dx.doi.org/10.1002/nbm.786
  23. W. S. Jun, "Anisotropy Measurement and Fiber Tracking of the White Matter by Using Diffusion Tensor MR Imaging: Influence of the Number of Diffusion-Sensitizing Gradient Direction", J. Korean Soc. Magn. Reson. Med., Vol. 10, No. 1, pp. 1-7, 2006.
  24. S. Naganawa, "Optimization of diffusion-tensor MR imaging data acquisition parameters for brain fiber tracking using parallel imaging at 3 T", Eur Radiol, Vol. 14, No. 2, pp. 234-238, 2004. DOI: http://dx.doi.org/10.1007/s00330-003-2163-6
  25. Hasan KM, "Comparison of gradient encoding schemes for diffusion-tensor MRI", J Magn Reson Imaging, Vol. 13, No. 5, pp. 769-780, 2001. DOI: http://dx.doi.org/10.1002/jmri.1107
  26. P. W. Schaefer, P. E. Grant, R. G. Gonzalez, "Diffusion-weighted MR imaging of the brain", Radiology, Vol. 217, No. 2, pp. 331-345, 2002.