Korean Journal of Radiology

  • 제25권3호
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  • Pages.267-276
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  • 2024
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  • 1229-6929(pISSN)
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  • 2005-8330(eISSN)
대한영상의학회 (The Korean Society of Radiology)
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Comparative Performance of Susceptibility Map-Weighted MRI According to the Acquisition Planes in the Diagnosis of Neurodegenerative Parkinsonism

  • Suiji Lee (Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Chong Hyun Suh (Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Sungyang Jo (Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Sun Ju Chung (Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Hwon Heo (Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Woo Hyun Shim (Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Jongho Lee (Department of Electrical and Computer Engineering, Seoul National University) ;
  • Ho Sung Kim (Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Sang Joon Kim (Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Eung Yeop Kim (Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine)
  • 투고 : 2023.09.19
  • 심사 : 2024.01.03
  • 발행 : 2024.03.01
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초록

Objective: To evaluate the diagnostic performance of susceptibility map-weighted imaging (SMwI) taken in different acquisition planes for discriminating patients with neurodegenerative parkinsonism from those without. Materials and Methods: This retrospective, observational, single-institution study enrolled consecutive patients who visited movement disorder clinics and underwent brain MRI and 18F-FP-CIT PET between September 2021 and December 2021. SMwI images were acquired in both the oblique (perpendicular to the midbrain) and the anterior commissure-posterior commissure (AC-PC) planes. Hyperintensity in the substantia nigra was determined by two neuroradiologists. 18F-FP-CIT PET was used as the reference standard. Inter-rater agreement was assessed using Cohen;s kappa coefficient. The diagnostic performance of SMwI in the two planes was analyzed separately for the right and left substantia nigra. Multivariable logistic regression analysis with generalized estimating equations was applied to compare the diagnostic performance of the two planes. Results: In total, 194 patients were included, of whom 105 and 103 had positive results on 18F-FP-CIT PET in the left and right substantia nigra, respectively. Good inter-rater agreement in the oblique (κ = 0.772/0.658 for left/right) and AC-PC planes (0.730/0.741 for left/right) was confirmed. The pooled sensitivities for two readers were 86.4% (178/206, left) and 83.3% (175/210, right) in the oblique plane and 87.4% (180/206, left) and 87.6% (184/210, right) in the AC-PC plane. The pooled specificities for two readers were 83.5% (152/182, left) and 82.0% (146/178, right) in the oblique plane, and 83.5% (152/182, left) and 86.0% (153/178, right) in the AC-PC plane. There were no significant differences in the diagnostic performance between the two planes (P > 0.05). Conclusion: There are no significant difference in the diagnostic performance of SMwI performed in the oblique and AC-PC plane in discriminating patients with parkinsonism from those without. This finding affirms that each institution may choose the imaging plane for SMwI according to their clinical settings.

키워드

과제정보

This work was supported by the National Research Foundation of Korea (NRF-2021R1C1C1014413 and NRF2022R1F1A1073551). We thank the Biomedical Computing core facility at the ConveRgence mEDIcine research cenTer (CREDIT), Asan Medical Center for their technical support and instrumentation.

참고문헌

  1. Gibb WR, Lees AJ. The relevance of the Lewy body to the pathogenesis of idiopathic Parkinson's disease. J Neurol Neurosurg Psychiatry 1988;51:745-752
  2. Postuma RB, Berg D, Stern M, Poewe W, Olanow CW, Oertel W, et al. MDS clinical diagnostic criteria for Parkinson's disease. Mov Disord 2015;30:1591-1601
  3. Cosottini M, Frosini D, Pesaresi I, Costagli M, Biagi L, Ceravolo R, et al. MR imaging of the substantia nigra at 7 T enables diagnosis of Parkinson disease. Radiology 2014;271:831-838
  4. Schwarz ST, Afzal M, Morgan PS, Bajaj N, Gowland PA, Auer DP. The 'swallow tail' appearance of the healthy nigrosome - a new accurate test of Parkinson's disease: a case-control and retrospective cross-sectional MRI study at 3T. PLoS One 2014;9:e93814
  5. Gao P, Zhou PY, Li G, Zhang GB, Wang PQ, Liu JZ, et al. Visualization of nigrosomes-1 in 3T MR susceptibility weighted imaging and its absence in diagnosing Parkinson's disease. Eur Rev Med Pharmacol Sci 2015;19:4603-4609
  6. Noh Y, Sung YH, Lee J, Kim EY. Nigrosome 1 detection at 3T MRI for the diagnosis of early-stage idiopathic Parkinson disease: assessment of diagnostic accuracy and agreement on imaging asymmetry and clinical laterality. AJNR Am J Neuroradiol 2015;36:2010-2016
  7. Stezin A, Naduthota RM, Botta R, Varadharajan S, Lenka A, Saini J, et al. Clinical utility of visualisation of nigrosome-1 in patients with Parkinson's disease. Eur Radiol 2018;28:718-726
  8. Bae YJ, Song YS, Choi BS, Kim JM, Nam Y, Kim JH. Comparison of susceptibility-weighted imaging and susceptibility map-weighted imaging for the diagnosis of parkinsonism with nigral hyperintensity. Eur J Radiol 2021;134:109398
  9. Nam Y, Gho SM, Kim DH, Kim EY, Lee J. Imaging of nigrosome 1 in substantia nigra at 3T using multiecho susceptibility map-weighted imaging (SMWI). J Magn Reson Imaging 2017;46:528-536
  10. Kim EY, Sung YH, Shin HG, Noh Y, Nam Y, Lee J. Diagnosis of early-stage idiopathic Parkinson's disease using high-resolution quantitative susceptibility mapping combined with histogram analysis in the substantia nigra at 3 T. J Clin Neurol 2018;14:90-97
  11. Gho SM, Liu C, Li W, Jang U, Kim EY, Hwang D, et al. Susceptibility map-weighted imaging (SMWI) for neuroimaging. Magn Reson Med 2014;72:337-346
  12. Bae YJ, Song YS, Kim JM, Choi BS, Nam Y, Choi JH, et al. Determining the degree of dopaminergic denervation based on the loss of nigral hyperintensity on SMWI in parkinsonism. AJNR Am J Neuroradiol 2021;42:681-687
  13. Kim PH, Lee DH, Suh CH, Kim M, Shim WH, Kim SJ. Diagnostic performance of loss of nigral hyperintensity on susceptibility-weighted imaging in parkinsonism: an updated meta-analysis. Eur Radiol 2021;31:6342-6352
  14. Mitchell T, Lehericy S, Chiu SY, Strafella AP, Stoessl AJ, Vaillancourt DE. Emerging neuroimaging biomarkers across disease stage in Parkinson disease: a review. JAMA Neurol 2021;78:1262-1272
  15. Liu X, Wang N, Chen C, Wu PY, Piao S, Geng D, et al. Swallow tail sign on susceptibility map-weighted imaging (SMWI) for disease diagnosing and severity evaluating in parkinsonism. Acta Radiol 2021;62:234-242
  16. Sung YH, Kim JS, Yoo SW, Shin NY, Nam Y, Ahn TB, et al. A prospective multi-centre study of susceptibility map-weighted MRI for the diagnosis of neurodegenerative parkinsonism. Eur Radiol 2022;32:3597-3608
  17. Sung YH, Lee J, Nam Y, Shin HG, Noh Y, Hwang KH, et al. Initial diagnostic workup of parkinsonism: dopamine transporter positron emission tomography versus susceptibility map-weighted imaging at 3T. Parkinsonism Relat Disord 2019;62:171-178
  18. Wang N, Liu XL, Li L, Zuo CT, Wang J, Wu PY, et al. Screening for early-stage Parkinson's disease: swallow tail sign on MRI susceptibility map-weighted images compared with PET. J Magn Reson Imaging 2021;53:722-730
  19. Cosottini M, Frosini D, Pesaresi I, Donatelli G, Cecchi P, Costagli M, et al. Comparison of 3T and 7T susceptibility-weighted angiography of the substantia nigra in diagnosing Parkinson disease. AJNR Am J Neuroradiol 2015;36:461-466
  20. Kim EY, Sung YH, Lee J. Nigrosome 1 imaging: technical considerations and clinical applications. Br J Radiol 2019;92:20180842
  21. Shin DH, Heo H, Song S, Shin NY, Nam Y, Yoo SW, et al. Automated assessment of the substantia nigra on susceptibility map-weighted imaging using deep convolutional neural networks for diagnosis of idiopathic Parkinson's disease. Parkinsonism Relat Disord 2021;85:84-90
  22. Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig L, et al. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ 2015;351:h5527
  23. Armstrong MJ, Litvan I, Lang AE, Bak TH, Bhatia KP, Borroni B, et al. Criteria for the diagnosis of corticobasal degeneration. Neurology 2013;80:496-503
  24. Bhatia KP, Bain P, Bajaj N, Elble RJ, Hallett M, Louis ED, et al. Consensus statement on the classification of tremors. From the task force on tremor of the International Parkinson and Movement Disorder Society. Mov Disord 2018;33:75-87
  25. Gilman S, Wenning GK, Low PA, Brooks DJ, Mathias CJ, Trojanowski JQ, et al. Second consensus statement on the diagnosis of multiple system atrophy. Neurology 2008;71:670-676
  26. Hoglinger GU, Respondek G, Stamelou M, Kurz C, Josephs KA, Lang AE, et al. Clinical diagnosis of progressive supranuclear palsy: the movement disorder society criteria. Mov Disord 2017;32:853-864
  27. Tatsch K, Poepperl G. Nigrostriatal dopamine terminal imaging with dopamine transporter SPECT: an update. J Nucl Med 2013;54:1331-1338
  28. Lancione M, Donatelli G, Del Prete E, Campese N, Frosini D, Cencini M, et al. Evaluation of iron overload in nigrosome 1 via quantitative susceptibility mapping as a progression biomarker in prodromal stages of synucleinopathies. Neuroimage 2022;260:119454
  29. Bae YJ, Kim JM, Sohn CH, Choi JH, Choi BS, Song YS, et al. Imaging the substantia nigra in Parkinson disease and other Parkinsonian syndromes. Radiology 2021;300:260-278
  30. Pyatigorskaya N, Sanz-Morere CB, Gaurav R, Biondetti E, Valabregue R, Santin M, et al. Iron imaging as a diagnostic tool for Parkinson's disease: a systematic review and meta-analysis. Front Neurol 2020;11:366
  31. Mazzucchi S, Frosini D, Costagli M, Del Prete E, Donatelli G, Cecchi P, et al. Quantitative susceptibility mapping in atypical parkinsonisms. Neuroimage Clin 2019;24:101999