본문 바로가기
KERD
논문KCI 등재

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

이종호|남윤호|노영|성영희|김응엽|신형걸
대한신경과학회 (Korean Neurological Association)|2018.01|Journal of Clinical Neurology|제14권 제1호|pp. 90-97

1

조회

0

다운로드

1

인용

0

참고문헌

키워드

Parkinson’s diseaseROC curvemagnetic resonance imagingsubstantia nigrapars compacta

초록

Background and Purpose To test whether nigrosome-1 imaging using high-resolution quantitative susceptibility mapping (QSM) combined with histogram analysis can improve the diagnostic accuracy in early-stage idiopathic Parkinson’s disease (IPD) patients. Methods Three-dimensional multiecho gradient-recalled echo images (0.5×0.5×1.0 mm3) were obtained at 3 T for QSM in 38 patients with IPD and 25 healthy subjects. To segment the substantia nigra (SN), regions of interest (ROIs) were semiautomatically drawn at the location below the red nucleus, and the normal-appearing nigrosome-1 was determined by manual correction. QSM histograms were obtained within the ROI. The segmented SN regions on the right and left that had higher mean susceptibility values and fewer voxels with susceptibility values lower than 60, 65, 70, 75, and 80 ppb were chosen for comparisons between the IPD patients and healthy subjects. These results were compared with those of the visual assessments of nigrosome-1 in susceptibility map-weighted imaging (SMWI) by analyzing receiver operating characteristics curves. Results The proportion of voxels with susceptibility values lower than 70 ppb showed the best diagnostic performance, with its value differing significantly between the IPD patients (median=0, interquartile range=0–0.23) and healthy subjects (median=10.67, interquartile range=5.98–21.57) (p<0.0001). The number of voxels with susceptibility values lower than 60, 65, 70, 75, and 80 ppb showed worse diagnostic performances but were still significantly better than that of the mean susceptibility value (p=0.0249, 0.0192, 0.0183, 0.0191, and 0.0186, respectively), which also differed significantly between the two groups: 125.81±16.27 ppb (mean±standard deviation) in IPD versus 98.41±11.70 ppb in healthy subjects (p<0.0001). Additionally, using the proportion of voxels with susceptibility values lower than 70 ppb provided significantly better diagnostic performance than did visual assessments of SMWI (p=0.0143). Conclusions High-spatial-resolution QSM combined with histogram analysis at 3 T can improve the diagnostic accuracy of early-stage IPD.

Abstract

Background and Purpose To test whether nigrosome-1 imaging using high-resolution quantitative susceptibility mapping (QSM) combined with histogram analysis can improve the diagnostic accuracy in early-stage idiopathic Parkinson’s disease (IPD) patients. Methods Three-dimensional multiecho gradient-recalled echo images (0.5×0.5×1.0 mm3) were obtained at 3 T for QSM in 38 patients with IPD and 25 healthy subjects. To segment the substantia nigra (SN), regions of interest (ROIs) were semiautomatically drawn at the location below the red nucleus, and the normal-appearing nigrosome-1 was determined by manual correction. QSM histograms were obtained within the ROI. The segmented SN regions on the right and left that had higher mean susceptibility values and fewer voxels with susceptibility values lower than 60, 65, 70, 75, and 80 ppb were chosen for comparisons between the IPD patients and healthy subjects. These results were compared with those of the visual assessments of nigrosome-1 in susceptibility map-weighted imaging (SMWI) by analyzing receiver operating characteristics curves. Results The proportion of voxels with susceptibility values lower than 70 ppb showed the best diagnostic performance, with its value differing significantly between the IPD patients (median=0, interquartile range=0–0.23) and healthy subjects (median=10.67, interquartile range=5.98–21.57) (p<0.0001). The number of voxels with susceptibility values lower than 60, 65, 70, 75, and 80 ppb showed worse diagnostic performances but were still significantly better than that of the mean susceptibility value (p=0.0249, 0.0192, 0.0183, 0.0191, and 0.0186, respectively), which also differed significantly between the two groups: 125.81±16.27 ppb (mean±standard deviation) in IPD versus 98.41±11.70 ppb in healthy subjects (p<0.0001). Additionally, using the proportion of voxels with susceptibility values lower than 70 ppb provided significantly better diagnostic performance than did visual assessments of SMWI (p=0.0143). Conclusions High-spatial-resolution QSM combined with histogram analysis at 3 T can improve the diagnostic accuracy of early-stage IPD.

참고문헌 (27)

  1. Blazejewska AI, "Visualization of nigrosome 1 and its loss in PD: pathoanatomical correlation and in vivo 7 T MRI", Neurology, 81, pp.534~540 (2013)[DOI]
  2. Schwarz ST, "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, 9, pp.e93814~ (2014)[DOI]
  3. Cosottini M, "MR imaging of the substantia nigra at 7 T enables diagnosis of Parkinson disease", Radiology, 271, pp.831~838 (2014)[DOI]
  4. Cosottini M, "Comparison of 3T and 7T susceptibility-weighted angiography of the substantia nigra in diagnosing Parkinson disease", AJNR Am J Neuroradiol, 36, pp.461~466 (2015)[DOI]
  5. Noh Y, "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, 36, pp.2010~2016 (2015)[DOI]
  6. Sung YH, "Drug-induced Parkinsonism versus idiopathic Parkinson disease: utility of nigrosome 1 with 3-T imaging", Radiology, 279, pp.849~858 (2016)[DOI]
  7. Deh K, "Reproducibility of quantitative susceptibility mapping in the brain at two field strengths from two vendors", J Magn Reson Imaging, 42, pp.1592~1600 (2015)[DOI]
  8. Lin PY, "Quantitative susceptibility mapping of human brain at 3T: a multisite reproducibility study", AJNR Am J Neuroradiol, 36, pp.467~474 (2015)[DOI]
  9. Barbosa JH, "Quantifying brain iron deposition in patients with Parkinson's disease using quantitative susceptibility mapping, R2 and R2*", Magn Reson Imaging, 33, pp.559~565 (2015)[DOI]
  10. He N, "Region-specific disturbed iron distribution in early idiopathic Parkinson's disease measured by quantitative susceptibility mapping", Hum Brain Mapp, 36, pp.4407~4420 (2015)[DOI]
  11. Murakami Y, "Usefulness of quantitative susceptibility mapping for the diagnosis of Parkinson disease", AJNR Am J Neuroradiol, 36, pp.1102~1108 (2015)[DOI]
  12. Acosta-Cabronero J, "The whole-brain pattern of magnetic susceptibility perturbations in Parkinson's disease", Brain, 140, pp.118~131 (2017)[DOI]
  13. Azuma M, "Lateral asymmetry and spatial difference of iron deposition in the substantia nigra of patients with Parkinson disease measured with quantitative susceptibility mapping", AJNR Am J Neuroradiol, 37, pp.782~788 (2016)[DOI]
  14. Du G, "Quantitative susceptibility mapping of the midbrain in Parkinson's disease", Mov Disord, 31, pp.317~324 (2016)[DOI]
  15. Langkammer C, "Quantitative susceptibility mapping in Parkinson's disease", PLoS One, 11, pp.e0162460~ (2016)[DOI]
  16. Guan X, "Regionally progressive accumulation of iron in Parkinson's disease as measured by quantitative susceptibility mapping", NMR Biomed, 30, pp.e3489~ (2017)[DOI]
  17. Hughes AJ, "Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases", J Neurol Neurosurg Psychiatry, 55, pp.181~184 (1992)[DOI]
  18. Hoehn MM, "Parkinsonism: onset, progression, and mortality", Neurology, 17, pp.427~442 (1967)[DOI]
  19. Damier P, "The substantia nigra of the human brain. I. Nigrosomes and the nigral matrix, a compartmental organization based on calbindin D(28K) immunohistochemistry", Brain, 122, pp.1421~1436 (1999)[DOI]
  20. Massey LA, "9.4 T MR microscopy of the substantia nigra with pathological validation in controls and disease", Neuroimage Clin, 13, pp.154~163 (2016)
  21. DeLong ER, "Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach", Biometrics, 44, pp.837~845 (1988)[DOI]
  22. Wang N, "Using 'swallow-tail' sign and putaminal hypointensity as biomarkers to distinguish multiple system atrophy from idiopathic Parkinson's disease: a susceptibility-weighted imaging study", Eur Radiol, 27, pp.3174~3180 (2017)[DOI]
  23. Nam Y, "Imaging of nigrosome 1 in substantia nigra at 3T using multiecho susceptibility map-weighted imaging (SMWI)", J Magn Reson Imaging, 46, pp.528~536 (2017)[DOI]
  24. Bae YJ, "Loss of Nigral Hyperintensity on 3 Tesla MRI of Parkinsonism: comparison with (123) I-FP-CIT SPECT", Mov Disord, 31, pp.684~692 (2016)[DOI]
  25. Reiter E, "Dorsolateral nigral hyperintensity on 3.0T susceptibility-weighted imaging in neurodegenerative Parkinsonism", Mov Disord, 30, pp.1068~1076 (2015)[DOI]
  26. Frosini D, "Nigral involvement in atypical parkinsonisms: evidence from a pilot study with ultra-high field MRI", J Neural Transm (Vienna), 123, pp.509~513 (2016)[DOI]
  27. Oustwani CS, "Can loss of the swallow tail sign help distinguish between Parkinson Disease and the Parkinson-Plus syndromes?", Clin Imaging, 44, pp.66~69 (2017)[DOI]

관련 논문AI추천

Correlation Between Neuromelanin-Sensitive MRI and 18F-FP-CIT PET in Early-Stage Parkinson’s Disease: Utility of a Voxel-Wise Analysis by Using High-Spatial-Resolution MRI노영, 김우람, 김응섭, 성영희, Seongbeom Park대한신경과학회 · Journal of Clinical Neurology2023 · 제19권 제2호Convolutional Neural Network-Based Automatic Segmentation of Substantia Nigra on Nigrosome and Neuromelanin Sensitive MR Images남윤호, Eunbi Kim, Eunjin Kim, Hyebin Lee, Hyeonha Kim, Junghwa Kang, Na-young Shin대한자기공명의과학회 · Investigative Magnetic Resonance Imaging2021 · 제25권 제3호Utility of the Midbrain Tegmentum Diameter in the Diferential Diagnosis of Progressive Supranuclear Palsy from Idiopathic Parkinson’s Disease김윤중, 김율희, 마효일대한신경과학회 · Journal of Clinical Neurology2015 · 제11권 제3호Gaussian Filtering Effects on Brain Tissue-masked Susceptibility Weighted Images to Optimize Voxel-based Analysis김민지, 장건호, 황어진대한자기공명의과학회 · Investigative Magnetic Resonance Imaging2013 · 제17권 제4호Simultaneous Unwrapping Phase and Error Recovery from Inhomogeneity (SUPER) for Quantitative Susceptibility Mapping of the Human Brain백현만, 안창범, 양영중, Jong-Hyun Yoon대한자기공명의과학회 · Investigative Magnetic Resonance Imaging2018 · 제22권 제1호Relationship Between Cortical Iron and Diabetes Mellitus in Older Adults With Cognitive Complaints: A Quantitative Susceptibility Map Study문연실, Lee Jongho, Lee Subin, Moon Won-Jin, Yang Jinho대한자기공명의과학회 · Investigative Magnetic Resonance Imaging2023 · 제27권 제2호

이 간행물의 다른 논문 (24건)

Roles of the Declive, Folium, and Tuber Cerebellar Vermian Lobules in Sportspeople이남준, 유임주, 박인성pp. 1-7A Survey of the Neuro-Oncology LandscapeJing Wu, Rimas V. Lukas, Mahua Dey, Robin A. Buerki, Richard W. Byrne, George J. Dohrmannpp. 8-15Subjective Cognitive Complaints and Objective Cognitive Impairment in Parkinson’s Disease홍진용, 선우문경, 손영호, 이윤주, 이필휴pp. 16-21Efficacy of Stiripentol in Dravet Syndrome with or without SCN1A Mutations이승태, 김세희, 정희정, 고아라, 김대성, 강훈철, 김흥동, 이준수, 이영목, 권순성, 조민정pp. 22-28Different Associations of Plasma Biomarkers in Alzheimer’s Disease, Mild Cognitive Impairment, Vascular Dementia, and Ischemic StrokeYasuyuki Ohta, Xianghong Li, Yun Zhai, Yumiko Nakano, Ryuta Morihara, Nozomi Hishikawa, Koji Abe, Jingwei Shang, Toru Yamashita, Yusuke Fukui, Dongjing Songpp. 29-34
원문 보기