A baseline study for detection of Parkinson's disease with 3D-transcranial sonography and uni-lateral reconstruction.
J Neurol Sci
; 397: 16-21, 2019 02 15.
Article
in En
| MEDLINE
| ID: mdl-30579060
ABSTRACT
INTRODUCTION:
TCS is a well-established technique for diagnosis of Parkinson's disease (PD). Volumetric 3D-TCS is a promising complementary approach for objective acquisition and analysis, in particular for less experienced sonographers. This study provides baselines for Parkinson detection (sensitivity and specificity), cutoff values and inter-rater agreement in 3D-TCS.METHODS:
We performed 3D-TCS in 52 subjects (healthy controls and PD) bilaterally, and reconstructed in 3D space uni-laterally. Ipsi-lateral hyperechogenicities in the substantia nigra are manually segmented slice-by-slice in the 3D volume by two raters at different experience levels. ROC threshold analysis is performed and compared on features representing 3D volume and axial cross-sections (2.5D) of hyperechogenicities. Pearson correlation and intra-class correlation coefficients were evaluated for assessment of inter-rater agreement.RESULTS:
50 subjects were included. Both raters achieved high classification accuracy with 2.5D/3D features extracted from 3D-TCS volumes (best results sensitivity/specificity/cut-off per rater 84.6%/88.9%/25.0mm2; 77.8%/88.9%/95.9mm3). The inter-rater agreement in 3D was high (ICC(A,1)â¯=â¯0.777, pâ¯<â¯10-3), the classification performance of both sonographers was statistically not significantly different.CONCLUSION:
The study presents first baseline values for uni-lateral 3D-TCS examination, and finds no disadvantage of uni-lateral reconstructions compared to previous bi-lateral fusion. Volumetric 3D-TCS has potential for a high inter-rater agreement and accuracy in detection of PD, in particular for sonographers with less experience.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Parkinson Disease
/
Substantia Nigra
/
Ultrasonography, Doppler, Transcranial
Type of study:
Diagnostic_studies
Limits:
Aged
/
Female
/
Humans
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Male
/
Middle aged
Language:
En
Journal:
J Neurol Sci
Year:
2019
Document type:
Article