DOI QR코드

DOI QR Code

Susceptibility-Weighted MR Imaging for the Detection of Developmental Venous Anomaly: Comparison with T2 and FLAIR Imaging

자화율강조 MR영상을 이용한 뇌정맥 기형의 진단: T2강조영상과 FLAIR영상과의 비교

  • Cho, Soo Bueum (Department of Radiology, Gyeongsang National University School of Medicine) ;
  • Choi, Dae Seob (Department of Radiology, Gyeongsang National University School of Medicine) ;
  • Ryu, Hyeon Gyu (Department of Radiology, Gyeongsang National University School of Medicine) ;
  • Shin, Hwa Seon (Department of Radiology, Gyeongsang National University School of Medicine) ;
  • Kim, Ji-Eun (Department of Radiology, Gyeongsang National University School of Medicine) ;
  • Choi, Hye Young (Department of Radiology, Gyeongsang National University School of Medicine) ;
  • Park, Mi Jung (Department of Radiology, Gyeongsang National University School of Medicine) ;
  • Choi, Ho Cheol (Department of Radiology, Gyeongsang National University School of Medicine) ;
  • Son, Seungnam (Department of Neurology, Gyeongsang National University School of Medicine)
  • 조수범 (경상대학교 의학전문대학원 영상의학교실) ;
  • 최대섭 (경상대학교 의학전문대학원 영상의학교실) ;
  • 유현규 (경상대학교 의학전문대학원 영상의학교실) ;
  • 신화선 (경상대학교 의학전문대학원 영상의학교실) ;
  • 김지은 (경상대학교 의학전문대학원 영상의학교실) ;
  • 최혜영 (경상대학교 의학전문대학원 영상의학교실) ;
  • 박미정 (경상대학교 의학전문대학원 영상의학교실) ;
  • 최호철 (경상대학교 의학전문대학원 영상의학교실) ;
  • 손승남 (경상대학교 의학전문대학원 신경과학교실)
  • Received : 2014.05.15
  • Accepted : 2014.09.11
  • Published : 2014.09.30

Abstract

Purpose : We evaluated the diagnostic value of susceptibility-weighted imaging (SWI) for the detection of developmental venous anomaly (DVA). Materials and Methods: Retrospective review of 1068 brain MR examinations found 28 DVAs in 28 patients (2.6%) on contrast-enhanced T1-weighted images. SWI, T2, and FLAIR images of 28 patients with DVA and 28 sex- and age-matched control patients without DVA were analyzed by blinded readers on each type of sequences. All images were independently reviewed by two radiologists who were blinded to other MR imaging finding. In cases of discrepancy, two reviewers reached a consensus later. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of each MR sequence for the detection of DVA were determined. Statistical analysis was performed by using the Mcnemar test. The significance level was p < 0.05. Results: The sensitivity, specificity, PPV, and NPV of SWI for the detection of DVA were 85.7%, 92.9%, 92.3%, and 86.7%, respectively. T2 and FLAIR images showed sensitivity of 35.7% and 35.7%, specificity of 92.9% and 96.4%, PPV of 83.3% and 90.9%, and NPV of 59.1% and 60.0%, respectively. On SWI, the sensitivity and NPV for the detection of DVAs were significantly higher than those of T2 and FLAIR images (p < 0.05). Conclusion: SWI was sensitive and specific for the detection of DVA.

목적: 뇌정맥 기형의 발견에 있어 자화율강조 MR영상의 진단적 가치를 평가하고자 하였다. 대상과 방법: 1068명의 뇌MR영상의 후향적 분석에서 조영증강 T1강조영상을 기준으로 28명(2.6%)에서 28개의 뇌정맥 기형이 발견 되었다. 이들과 성별 및 나이가 일치하는 뇌정맥 기형이 없었던 28명을 대조군으로 선정하였다. 모두 48명의 환자군과 대조군의 MR영상을 무작위로 제시하면서 2명의 영상의학과 의사가 독립적으로 분석하였다. 자화율강조영상, T2강조영상, FLAIR영상을 분리하여 각 영상에서 뇌정맥 기형의 존재유무를 판정하였다. 판정에 불일치가 있는 경우 나중에 합의하여 최종 판단하였다. 뇌정맥 기형의 진단에 있어 각 영상의 민감도, 특이도, 양성예견율, 음성예견율을 구하였으며, Mcnemar test를 이용하여 통계적 차이를 검정하였다. 결과: 뇌정맥 기형의 발견에 있어 자화율강조 MR영상은 85.7%의 민감도, 92.9%의 특이도, 92.3%의 양성예견율, 86.7%의 음성예견율을 보였다. T2강조영상과 FLAIR영상은 35.7% 와 35.7%의 민감도, 92.9%와 96.4%의 특이도, 83.3%와 90.9%의 양성예견율, 59.1%와 60.0%의 음성예견율을 각각 보였다. 통계분석에서 자화율강조 MR영상은 T2강조영상과 FLAIR영상과 비교하여 유의하게 높은 민감도와 음성예견율를 보였다. 결론: 뇌정맥 기형의 발견에 있어 자화율강조 MR영상은 높은 민감도와 특이도를 보였다.

Keywords

References

  1. Lasjaunias P, Burrows P, Planet C. Developmental venous anomalies (DVA): the so-called venous angioma. Neurosurg Rev 1986;9:233-242 https://doi.org/10.1007/BF01743138
  2. Sarwar M, McCormick WF. Intracerebral venous angioma. Case report and review. Arch Neurol 1978;35:323-325 https://doi.org/10.1001/archneur.1978.00500290069012
  3. Truwit CL. Venous angioma of the brain: history, significance, and imaging findings. AJR Am J Roentgenol 1992;159:1299-1307 https://doi.org/10.2214/ajr.159.6.1442406
  4. Takasugi M, Fujii S, Shinohara Y, Kaminou T, Watanabe T, Ogawa T. Parenchymal hypointense foci associated with developmental venous anomalies: evaluation by phase-sensitive MR imaging at 3T. AJNR Am J Neuroradiol 2013;34:1940-1944 https://doi.org/10.3174/ajnr.A3495
  5. Santucci GM, Leach JL, Ying J, Leach SD, Tomsick TA. Brain parenchymal signal abnormalities associated with developmental venous anomalies: detailed MR imaging assessment. AJNR Am J Neuroradiol 2008;29:1317-1323 https://doi.org/10.3174/ajnr.A1090
  6. San Millan Rulz D, Delavelle J, Yilmaz H, et al. Parenchymal abnormalities associated with developmental venous anomalies. Neuroradiology 2007;49:987-995 https://doi.org/10.1007/s00234-007-0279-0
  7. Daftari Besheli L, Aran S, Shaqdan K, Kay J, Abujudeh H. Current status of nephrogenic systemic fibrosis. Clin Radiol 2014;69:661-668 https://doi.org/10.1016/j.crad.2014.01.003
  8. Huang P, Chen CH, Lin WC, Lin RT, Khor GT, Liu CK. Clinical applications of susceptibility weighted imaging in patients with major stroke. J Neurol 2012;259:1426-1432 https://doi.org/10.1007/s00415-011-6369-2
  9. Santhosh K, Kesavadas C, Thomas B, Gupta AK, Thamburaj K, Kapilamoorthy TR. Susceptibility weighted imaging: a new tool in magnetic resonance imaging of stroke. Clin Radiol 2009;64:74-83 https://doi.org/10.1016/j.crad.2008.04.022
  10. Haacke EM, Xu Y, Cheng YC, Reichenbach JR. Susceptibility weighted imaging (SWI). Magn Reson Med 2004;52:612-618 https://doi.org/10.1002/mrm.20198
  11. Mittal S, Wu Z, Neelavalli J, Haacke EM. Susceptibilityweighted imaging: technical aspects and clinical applications, part 2. AJNR Am J Neuroradiol 2009;30:232-252
  12. Tsui YK, Tsai FY, Hasso AN, Greensite F, Nguyen BV. Susceptibility-weighted imaging for differential diagnosis of cerebral vascular pathology: a pictorial review. J Neurol Sci 2009;287:7-16 https://doi.org/10.1016/j.jns.2009.08.064
  13. Haacke EM, Mittal S, Wu Z, Neelavalli J, Cheng YC. Susceptibility-weighted imaging: technical aspects and clinical applications, part 1. AJNR Am J Neuroradiol 2009;30:19-30
  14. McCormick WF, Boulter TR. Vascular malformations ("angiomas") of the dura mater. J Neurosurg 1966;25:309-311 https://doi.org/10.3171/jns.1966.25.3.0309
  15. Ruiz DS, Yilmaz H, Gailloud P. Cerebral developmental venous anomalies: current concepts. Ann Neurol 2009;66:271-283 https://doi.org/10.1002/ana.21754
  16. San Millan Ruiz D, Gailloud P. Cerebral developmental venous anomalies. Childs Nerv Syst 2010;26:1395-1406 https://doi.org/10.1007/s00381-010-1253-4
  17. Garner TB, Curling OD Jr, Kelly DL Jr, Laster DW. The natural history of intracranial venous angiomas. J Neurosurg 1991;75:715-722 https://doi.org/10.3171/jns.1991.75.5.0715
  18. Lee BC, Vo KD, Kido DK, et al. MR high-resolution blood oxygenation level dependent venography of occult (low-flow) vascular lesions. AJNR Am J Neuroradiol 1999;20:1239-1242
  19. Sehgal V, Delproposto Z, Haacke EM, et al. Clinical applications of neuroimaging with susceptibility-weighted imaging. J Magn Reson Imaging 2005;22:439-450 https://doi.org/10.1002/jmri.20404
  20. Tong KA, Ashwal S, Obenaus A, Nickerson JP, Kido D, Haacke EM. Susceptibility-weighted MR imaging: a review of clinical applications in children. AJNR Am J Neuroradiol 2008;29:9-17 https://doi.org/10.3174/ajnr.A0786
  21. Thomas B, Somasundaram S, Thamburaj K, et al. Clinical applications of susceptibility weighted imaging of brain-A pictorial review. Neuroradiology 2008;50:105-116 https://doi.org/10.1007/s00234-007-0316-z
  22. Huber G, Henkes H, Hermes M, et al. Regional association of developmental venous anomalies with angiographically occult vascular malformations. Eur Radiol 1996;6:30-37 https://doi.org/10.1007/BF00619949
  23. de Souza JM, Domingues RC, Cruz LC Jr, et al. Susceptibilityweighted imaging for the evaluation of patients with familial cerebral cavernous malformations: a comparison with T2-weighted fast spin-echo and gradient-echo sequences. AJNR Am J Neuroradiol 2008;29:154-158 https://doi.org/10.3174/ajnr.A0748
  24. de Champfleur NM, Langlois C, Ankenbrandt WJ, et al. Magnetic resonance imaging evaluation of cerebral cavernous malformations with susceptibility-weighted imaging. Neurosurgery 2011;68:641-647 https://doi.org/10.1227/NEU.0b013e31820773cf
  25. McLaughlin MR, Kondziolka D, Flickinger JC, Lunsford S, Lunsford LD. The prospective natural history of cerebral venous malformations. Neurosurgery 1998;43:195-200 https://doi.org/10.1097/00006123-199808000-00001
  26. Jung HN, Kim ST, Cha J, et al. Diffusion and perfusion MRI findings of the signal-intensity abnormalities of brain associated with developmental venous anomaly. AJNR Am J Neuroradiol 2014 Mar 20 [Epub ahead of print]