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Decoding the Dopamine Transporter Imaging for the Differential Diagnosis of Parkinsonism Using Deep Learning by Yu Zhao; Ping Wu; Jianjun Wu; Matthias Brendel; Jiaying Lu; Jingjie Ge; Chunmeng Tang; Jimin Hong; Qian Xu; Fengtao Liu; Yimin Sun; Zizhao Ju; Huamei Lin; Yihui Guan; Claudio Bassetti; Markus Schwaiger; Sung-Cheng Huang; Axel Rominger; Jian Wang; Chuantao Zuo; Kuangyu Shi is a Medicine article available to read on EtoBox.

What is Decoding the Dopamine Transporter Imaging for the Differential Diagnosis of Parkinsonism Using Deep Learning about?

## Purpose This work attempts to decode the discriminative information in dopamine transporter (DAT) imaging using deep learning for the differential diagnosis of parkinsonism. ## Methods This study involved 1017 subjects who underwent DAT PET imaging ([^11^C]CFT) including 43 healthy subjects and 974 parkinsonian patients with idiopathic Parkinson’s disease (IPD), multiple system atrophy (MSA) or progressive supranuclear palsy (PSP). We developed a 3D deep convolutional neural network to learn distinguishable DAT features for the differential diagnosis of parkinsonism. A full-gradient saliency map approach was employed to investigate the functional basis related to the decision mechanism of the network. Furthermore, deep-learning-guided radiomics features and quantitative analysis were compared with their conventional counterparts to further interpret the performance of deep learning. ## Results The proposed network achieved area under the curve of 0.953 (sensitivity 87.7%, specificity 93.2%), 0.948 (sensitivity 93.7%, specificity 97.5%), and 0.900 (sensitivity 81.5%, specificity 93.7%) in the cross-validation, together with sensitivity of 90.7%, 84.1%, 78.6% and specificity of 88

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Author
Yu Zhao; Ping Wu; Jianjun Wu; Matthias Brendel; Jiaying Lu; Jingjie Ge; Chunmeng Tang; Jimin Hong; Qian Xu; Fengtao Liu; Yimin Sun; Zizhao Ju; Huamei Lin; Yihui Guan; Claudio Bassetti; Markus Schwaiger; Sung-Cheng Huang; Axel Rominger; Jian Wang; Chuantao Zuo; Kuangyu Shi
Publisher
Springer Science and Business Media LLC
Published
2022
Language
EN
Field
Medicine (Health Sciences)

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