Differential diagnosis of parkinsonism by a combined use of diffusion kurtosis imaging and quantitative susceptibility mapping

Ito, Kenji; Ohtsuka, Chigumi; Yoshioka, Kunihiro; Kameda, Hiroyuki; Yokosawa, Suguru; Sato, Ryota; Terayama, Yasuo; Sasaki, Makoto

doi:10.1007/s00234-017-1870-7

Cited by 42 publications

(45 citation statements)

References 44 publications

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“…In patients with MSAc, an FA decrease and an MD increase in the pontine crossing tract and middle cerebellar peduncles have been found before the appearance of the hot cross bun sign (88,89). Using diffusion kurtosis imaging, Ito et al (90,91) described a ratio of midbrain tegmentum diffusion to pontine crossing tract diffusion to distinguish between patients with PSP, MSA or PD and controls (90,91). Interestingly, Juttukonda et al (92) also found an FA decrease in the pontine crossing tract in patients with essential tremor vs. PD (92).…”

Section: Advanced Diffusion Approachesmentioning

confidence: 99%

Modern Brainstem MRI Techniques for the Diagnosis of Parkinson's Disease and Parkinsonisms

2020

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The brainstem is the earliest vulnerable structure in many neurodegenerative diseases like in Multiple System Atrophy (MSA) or Parkinson's disease (PD). Up-to-now, MRI studies have mainly focused on whole-brain data acquisition. Due to its spatial localization, size, and tissue characteristics, brainstem poses particular challenges for MRI. We provide a brief overview on recent advances in brainstem-related MRI markers in Parkinson's disease and Parkinsonism's. Several MRI techniques investigating brainstem, mainly the midbrain, showed to be able to discriminate PD patients from controls or to discriminate PD patients from atypical parkinsonism patients: iron-sensitive MRI, nigrosome imaging, neuromelanin-sensitive MRI, diffusion tensor imaging and advanced diffusion imaging. A standardized multimodal brainstem-dedicated MRI approach at high resolution able to quantify microstructural modification in brainstem nuclei would be a promising tool to detect early changes in parkinsonian syndromes.

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Section: Advanced Diffusion Approachesmentioning

confidence: 99%

Modern Brainstem MRI Techniques for the Diagnosis of Parkinson's Disease and Parkinsonisms

2020

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“…To identify changes in the whole-brain white matter between the PPD and non-PPD groups, we carried out voxel-wise statistical analysis of the MK, FA, and MD maps using tract-based spatial statistics (TBSS) implemented in Functional Magnetic Resonance Imaging of the Brain (FMRIB) Software Library 5.0.9 44 , 45 . Regarding the region of interest (ROI) analysis in the basal ganglia of the Johns Hopkins University Eve atlas 46 , MK, FA, and MD values of the caudate nucleus, putamen, globus pallidus, and thalamus were then automatically measured using coregistered ROIs 37 , 40 , 41 .…”

Section: Methodsmentioning

confidence: 99%

Cerebral diffusion kurtosis imaging to assess the pathophysiology of postpartum depression

Sasaki

Ito

Fukumoto

et al. 2020

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Postpartum depression (PPD), a main cause of maternal suicide, is an important issue in perinatal mental health. Recently, cerebral diffusion tensor imaging (DTI) studies have shown reduced fractional anisotropy (FA) in major depressive disorder (MDD) patients. There are, however, no reports using diffusion kurtosis imaging (DKI) for evaluation of PPD. This was a Japanese single-institutional prospective study from 2016 to 2019 to examine the pathophysiological changes in the brain of PPD patients using DKI. The DKI data from 3.0 T MRI of patients one month after delivery were analyzed; the patients were examined for PPD by a psychiatrist. The mean kurtosis (MK), FA and mean diffusivity (MD) were calculated from the DKI data and compared between PPD and non-PPD groups using tract-based spatial statistics analysis. Of the 75 patients analyzed, eight patients (10.7%) were diagnosed as having PPD. In the PPD group, FA values in the white matter and thalamus were significantly lower and MD values in the white matter and putamen were significantly higher. The area with significant differences in MD value was more extensive (40.8%) than the area with significant differences in FA value (6.5%). These findings may reflect pathophysiological differences of PPD compared with MDD.

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“…All subjects underwent MR examination using a 3T scanner (Trillium Oval, Hitachi, Ltd., Tokyo, Japan) with an eight-channel head coil. DKI/DTI source images were acquired using a single-shot spin-echo echo-planar imaging (EPI) method, with the following scan parameters, which were optimized 6 and used in previous studies 5,[7][8][9][10] : repetition time/echo time, 4500/110 ms; motion-probing gradients, 20 directions; bvalues, 0, 1000, and 2500 s/mm 2 ; field of view, 24 cm; matrix size, 128 × 128; reconstructed matrix size, 256 × 256; slice thickness, 3.0 mm without interslice gaps; number of slices, 36; number of excitations, 4; reduction factor of parallel imaging, 2; and acquisition time, 12 min, 18 s. Structural images, including three-dimensional T1-weighted, T2-weighted, and fluid-attenuated inversion recovery images, were also acquired.…”

Section: Tesla Mr Imagingmentioning

confidence: 99%

“…Diffusion metric maps, including MK, FA, and MD, were calculated using an in-house software program 11 that has been used in previous studies. 5,[7][8][9][10] In the present study, FA and MD values were calculated using DTI data only from b-values of 0 and 1000 s/mm 2 .…”

Section: Tesla Mr Imagingmentioning

confidence: 99%

“…To perform deep GM ROI analyses, the Johns Hopkins University (JHU) Eve atlas was warped to the native space of each subject using inverse transformation matrices obtained by registration of the FA and b0 maps into the corresponding maps of the JHU-Eve atlas via methods similar to those described previously. [8][9][10] The ROI associated with the PAG, which was manually segmented on the averaged images of healthy controls, 2 was also applied to the JHU-Eve atlas. The mean MK, FA, and MD values of the caudate nucleus (CN), putamen (PU), globus pallidus (GP), thalamus (TH), substantia nigra (SN), red nucleus (RN), and PAG were then automatically measured using the coregistered ROIs.…”

Section: Tesla Mr Imagingmentioning

confidence: 99%

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Detection of microstructural white matter alterations in functional gastrointestinal disorders assessed by diffusion kurtosis imaging

et al. 2020

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Background and Aim: We evaluated whether diffusion kurtosis and tensor imaging (DKI/DTI) could reveal microstructural alterations in the brains of patients with functional gastrointestinal disorders (FGIDs), and whether imaging findings were correlated with health-related quality of life (HRQOL). Methods: Twelve patients with FGIDs fulfilling the Rome IV criteria, and seven healthy controls were examined using a 3 T magnetic resonance (MR) scanner. Tractbased spatial statistics and regions of interest analyses were performed to compare the mean kurtosis (MK), fractional anisotropy (FA), and mean diffusivity (MD) between patients with FGIDs versus controls. HRQOL was assessed in patients with FGIDs using the eight-item short form of the Medical Outcome Study Questionnaire (SF-8) and the Gastrointestinal Symptom Rating Scale. Results: Patients with FGIDs had extensive, widespread regions of reduced MD in the white matter in comparison with healthy controls, whereas no significant differences were observed in MK and FA. No significant differences in deep gray matter for the MK, FA, and MD values were observed between patients with FGIDs and controls. In patients with FGIDs, the FA values in the globus pallidus had a significant and negative correlation with SF-8 (a mental component summary) (r = −0.797, P = 0.01 uncorrected for multiple comparisons). Conclusions: DKI/DTI can help identify microstructural white matter alterations in patients with FGIDs. The FA values in the globus pallidus may be useful for a severity assessment of FGIDs.

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Differential diagnosis of parkinsonism by a combined use of diffusion kurtosis imaging and quantitative susceptibility mapping

Abstract: A quantitative assessment using DKI and QSM analyses, particularly MK-dMPR and MS-PUp values, can readily identify patients with parkinsonism.

Cited by 42 publications

References 44 publications

Modern Brainstem MRI Techniques for the Diagnosis of Parkinson's Disease and Parkinsonisms

Modern Brainstem MRI Techniques for the Diagnosis of Parkinson's Disease and Parkinsonisms

Cerebral diffusion kurtosis imaging to assess the pathophysiology of postpartum depression

Detection of microstructural white matter alterations in functional gastrointestinal disorders assessed by diffusion kurtosis imaging

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