Milestones in magnetic resonance imaging and transcranial sonography of movement disorders

Berg, Daniela; Steinberger, Jonathan D.; Olanow, C. Warren; Naidich, Thomas P.; Yousry, Tarek

doi:10.1002/mds.23766

Cited by 35 publications

(25 citation statements)

References 125 publications

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“…In a recent systematic review, the accuracy of a clinical diagnosis of PD made by movement disorders experts was found to be 80% [2]. Therefore, there has been increased awareness of the importance of assessing non-motor features, such as REM sleep behavior disorder, autonomic dysfunction and olfactory impairment, and several other clinical markers, including hyperechogenicity of the midbrain substantia nigra (SN), all of which can manifest during the early phase of the disease or even precede disease onset [3, 4]. …”

Section: Introductionmentioning

confidence: 99%

Usefulness of Cardiac MIBG Scintigraphy, Olfactory Testing and Substantia Nigra Hyperechogenicity as Additional Diagnostic Markers for Distinguishing between Parkinson’s Disease and Atypical Parkinsonian Syndromes

et al. 2016

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BackgroundWe aimed to evaluate the utility of the combined use of cardiac 123I-metaiodobenzylguanidine (MIBG) scintigraphy, olfactory testing, and substantia nigra (SN) hyperechogenicity on transcranial sonography (TCS) in differentiating Parkinson’s disease (PD) from atypical parkinsonian syndromes (APSs), such as multiple system atrophy (MSA) and progressive supranuclear palsy (PSP).MethodsCardiac MIBG scintigraphy, card-type odor identification testing (Open Essence (OE), Wako, Japan), and TCS were performed with 101 patients with PD and 38 patients with APSs (MSA and PSP). Receiver operating characteristic (ROC) curve analysis was used to assess the sensitivity and specificity of these batteries for diagnosing PD from APSs. The diagnostic accuracy of the three tests was also assessed among patients at the early disease stage (drug-naïve patients with a disease duration of 3 years or less).ResultsIn differentiating PD from APSs, the area under the ROC curve was 0.74 (95% CI, 0.65–0.83), 0.8 (95% CI, 0.73–0.87), and 0.75 (95% CI, 0.67–0.82) for TCS, cardiac MIBG scintigraphy, and olfactory testing, respectively. The diagnostic sensitivity and specificity were 53.1% and 91.7%, respectively, for TCS, 70.3% and 86.8%, respectively, for cardiac MIBG scintigraphy, 58.4% and 76.3%, respectively, for OE. Among early-stage patients, sensitivity and specificity were 50.0% and 93.8%, respectively, for TCS, 57.1% and 87.5%, respectively, for cardiac MIBG scintigraphy, and 54.8% and 79.2%, respectively, for OE. At least one positive result from 3 tests improved sensitivity (86.1%) but decreased specificity (63.2%). In contrast, at least 2 positive results from 3 tests had good discrimination for both early-stage patients (50.0% sensitivity and 93.8% specificity) and patients overall (57.8% sensitivity and 95.8% specificity). Positive results for all 3 tests yielded 100% specificity but low sensitivity (25%).ConclusionsAt least 2 positive results from among TCS, cardiac MIBG scintigraphy, and olfactory testing can support clinical diagnosis in distinguishing PD from APSs.

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Section: Introductionmentioning

confidence: 99%

Usefulness of Cardiac MIBG Scintigraphy, Olfactory Testing and Substantia Nigra Hyperechogenicity as Additional Diagnostic Markers for Distinguishing between Parkinson’s Disease and Atypical Parkinsonian Syndromes

et al. 2016

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“…Based on this dataset, the features found in [8] and [9] achieved 76.81% and 48.55% correct rate, respectively. Five local features F (3,7,8,1,9) were selected with SFFS based on this dataset. Using the selected local featrues, the classification accuracy reached 72.46%, which was better than the Gabor feature and GLCM feature from [9].…”

Section: Resultsmentioning

confidence: 99%

“…However, the quality of TCS images mainly dependents on the experience of the examiner and the acoustic bone window of the patient. With increased use, a standardized procedure including rating scale of SN echogenicity was required for a standard clinical setting [7].…”

Section: Introductionmentioning

confidence: 99%

Feature Analysis for Parkinson’s Disease Detection Based on Transcranial Sonography Image

Chen

Hagenah

Mertins

2012

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

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Abstract. Transcranial sonography (TCS) is a new tool for the diagnosis of Parkinson's disease (PD) according to a distinct hyperechogenic pattern in the substantia nigra (SN) region. However a procedure including rating scale of SN hyperechogenicity was required for a standard clinical setting with increased use. We applied the feature analysis method to a large TCS dataset that is relevant for clinical practice and includes the variability that is present under real conditions. In order to decrease the influence to the image properties from the different settings of ultrasound machine, we propose a local image analysis method using an invariant scale blob detection for the hyperechogenicity estimation. The local features are extracted from the detected blobs and the watershed regions in half of mesencephalon area. The performance of these features is evaluated by a feature-selection method. The cross validation results show that the local features could be used for PD detection.

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“…This sign also suggests rostral interstitial nucleus of medial longitudinal fasciculus involvement in PSP 2. MR parkinsonism index, defined as the ratio of midbrain area to pons area, is another useful tool in the diagnosis of PSP patients 3. The objective of this article is to highlight the importance of neuroimaging in working up of the differential diagnosis of closely related parkinsonian disorders such as iPD, MSA and PSP.…”

Section: Descriptionmentioning

confidence: 99%

Milestones in magnetic resonance imaging and transcranial sonography of movement disorders

Cited by 35 publications

References 125 publications

Usefulness of Cardiac MIBG Scintigraphy, Olfactory Testing and Substantia Nigra Hyperechogenicity as Additional Diagnostic Markers for Distinguishing between Parkinson’s Disease and Atypical Parkinsonian Syndromes

Usefulness of Cardiac MIBG Scintigraphy, Olfactory Testing and Substantia Nigra Hyperechogenicity as Additional Diagnostic Markers for Distinguishing between Parkinson’s Disease and Atypical Parkinsonian Syndromes

Feature Analysis for Parkinson’s Disease Detection Based on Transcranial Sonography Image

The Hummingbird sign: a diagnostic clue for Steele-Richardson-Olszweski syndrome

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