mPDia is a software that has been pre-learned based on a neurodegenerative parkinsonism diagnosis model using Nigrosome 1 MRI images, and clinical decision support system for diagnosing neurodegenerative parkinsonism by automatically analyzing Nigrosome 1 MRI images by assisting the medical team. The specific aims of this study are to evaluate efficacy of mPDia for neurodegenerative Parkinsonism compared to the sensitivity and specificity levels of 18F FP-CIT PET/CT which is currently used to diagnose neurodegenerative parkinsonism.
Study Type
OBSERVATIONAL
Enrollment
221
Clinical decision support system for diagnosing neurodegenerative parkinsonism
Cha Medical Center
Gyeonggi-do, South Korea
Hallym University Dongtan Sacred Heart Hospital
Gyeonggi-do, South Korea
Hallym University Sacred Heart Hospital
Gyeonggi-do, South Korea
Korea University Ansan Hospital
Sensitivity of mPDia for the Diagnosis of Neurodegenerative Parkinsonism
Sensitivity of mPDia in diagnosing neurodegenerative parkinsonism, based on comparison with the golden standard (final clinical diagnosis determined by specialist groups). Sensitivity was calculated as TP/(TP+FN) Sensitivity: 100 x True positive(TP)/ \[True positive(TP) + False negative(FN)\] (%)
Time frame: At Visit 2 (within 4 weeks after Visit 1)
Specificity of mPDia for the Diagnosis of Neurodegenerative Parkinsonism
Specificity of mPDia in diagnosing neurodegenerative parkinsonism, based on comparison with the golden standard (final clinical diagnosis determined by specialist groups). Specificity was calculated as True Negative / (True Negative + False Positive) Specificity: 100 x True negative(TN)/\[False positive(FP) + True negative(TN)\] (%)
Time frame: At Visit 2 (within 4 weeks after Visit 1)
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Gyeonggi-do, South Korea
Gachon University Gil Medical Center
Incheon, South Korea
Asan Medical Center
Seoul, South Korea
Catholic University of Korea, Seoul ST. Mary's Hospital
Seoul, South Korea
Gangnam Severance Hospital
Seoul, South Korea
Korea University Guro Hospital
Seoul, South Korea
KyungHee University Medical Center
Seoul, South Korea