Diffusion Tensor Imaging Radiomics for Diagnosis of Parkinson’s Disease

Abstract

Background: Diagnosis of Parkinson’s Disease (PD) based on clinical symptoms and scale scores is mostly objective, and the accuracy of neuroimaging for PD diagnosis remains controversial. This study aims to introduce a radiomic tool to improve the sensitivity and specificity of diagnosis based on Diffusion Tensor Imaging (DTI) metrics. Methods: In this machine learning-based retrospective study, we collected basic clinical information and DTI images from 54 healthy controls (HCs) and 56 PD patients. Among them, 60 subjects (30 PD patients and 30 HCs) were assigned to the training group, whereas the test cohort was 26 PD patients and 24 HCs. After the feature extraction and selection using newly developed image processing software Ray-plus, LASSO regression was used to finalize radiomic features. Results: A total of 4600 radiomic features were extracted, of which 12 were finally selected. The values of the AUC (area under the subject operating curve) in the training group, the validation group, and overall were 0.911, 0.931, and 0.919, respectively. Conclusion: This study introduced a novel radiometric and computer algorithm based on DTI images, which can help increase the sensitivity and specificity of PD screening.

The differential diagnosis value of radiomics-based machine learning in Parkinson’s disease: a systematic review and meta-analysis

“…Following the exclusion of 121 duplicate studies, 43 studies were screened based on their titles or abstracts. Ultimately, a total of 28 articles ( Cheng et al, 2019 ; Shinde et al, 2019 ; Wu et al, 2019 ; Xiao et al, 2019 ; Cao et al, 2020 , 2021 ; Liu et al, 2020 ; Pang et al, 2020 , 2022 ; Shu et al, 2020 ; Dhinagar et al, 2021 ; Hu et al, 2021 ; Li et al, 2021 , 2022 ; Ren et al, 2021 ; Shi et al, 2021 , 2022a , 2022b ; Sun et al, 2021 , 2022 ; Tupe-Waghmare et al, 2021 ; Zhang et al, 2021 ; Ben Bashat et al, 2022 ; Guan et al, 2022 ; Kang et al, 2022 ; Kim et al, 2022 ; Shiiba et al, 2022 ; Zhao et al, 2022 ) were deemed eligible and included in this meta-analysis.…”

“…The characteristics of the studies included in this research are shown in Table 1 and Supplementary Table 4 . The original 28 studies were published between 2019 and 2022, with 27 of them from Asia ( Cheng et al, 2019 ; Shinde et al, 2019 ; Wu et al, 2019 ; Xiao et al, 2019 ; Cao et al, 2020 , 2021 ; Liu et al, 2020 ; Pang et al, 2020 , 2022 ; Shu et al, 2020 ; Hu et al, 2021 ; Li et al, 2021 , 2022 ; Ren et al, 2021 ; Shi et al, 2021 , 2022a , 2022b ; Sun et al, 2021 , 2022 ; Tupe-Waghmare et al, 2021 ; Zhang et al, 2021 ; Ben Bashat et al, 2022 ; Guan et al, 2022 ; Kang et al, 2022 ; Kim et al, 2022 ; Shiiba et al, 2022 ; Zhao et al, 2022 ) and one from North America ( Dhinagar et al, 2021 ). The study comprised a total of 6,057 participants, with 3,422 patients diagnosed with PD, 1,983 healthy controls, and 652 cases of APS (476 with MSA and 176 with PSP).…”

“…The study comprised a total of 6,057 participants, with 3,422 patients diagnosed with PD, 1,983 healthy controls, and 652 cases of APS (476 with MSA and 176 with PSP). Among these studies, 22 focused on the diagnosis of PD ( Cheng et al, 2019 ; Shinde et al, 2019 ; Wu et al, 2019 ; Xiao et al, 2019 ; Cao et al, 2020 , 2021 ; Liu et al, 2020 ; Shu et al, 2020 ; Dhinagar et al, 2021 ; Li et al, 2021 , 2022 ; Ren et al, 2021 ; Shi et al, 2021 , 2022a , 2022b ; Sun et al, 2021 , 2022 ; Zhang et al, 2021 ; Ben Bashat et al, 2022 ; Guan et al, 2022 ; Kang et al, 2022 ; Shiiba et al, 2022 ), while six studies focused on the differential diagnosis of PD and APS ( Pang et al, 2020 , 2022 ; Hu et al, 2021 ; Tupe-Waghmare et al, 2021 ; Kim et al, 2022 ; Zhao et al, 2022 ). In addition, two studies addressed the differential diagnosis of PD with or without depression ( Li et al, 2021 ; Zhang et al, 2021 ), and one study fixated on the differential diagnosis of TD and PIGD ( Sun et al, 2021 ).…”

“…One study ( Ben Bashat et al, 2022 ) also examined and discussed biological correlations; demonstrating phenotypic differences that could be related to underlying gene-protein expression patterns broadens the perception of radiomics and biology. Nine studies ( Liu et al, 2020 ; Shu et al, 2020 ; Cao et al, 2021 ; Ren et al, 2021 ; Shi et al, 2021 ; Guan et al, 2022 ; Li et al, 2022 ; Shiiba et al, 2022 ; Zhao et al, 2022 ) conducted cut-off value analysis to assess the risk of model diagnostic prediction accuracy. However, only five studies evaluated the potential clinical utility of the model by decision curve analysis ( Wu et al, 2019 ; Shu et al, 2020 ; Hu et al, 2021 ; Ren et al, 2021 ; Zhao et al, 2022 ), and none performed a cost-effectiveness analysis.…”

Neuroinflammation and Mitochondrial Dysfunction in Parkinson’s Disease: Connecting Neuroimaging with Pathophysiology

“…DKI has been repeatedly applied in PwPD. The most recent and comprehensive systematic review and meta-analysis of DKI imaging in PD [93] included 14 studies with 535 PwPD and 486 HCs. Besides some methodological heterogeneity, extensive alterations, e.g., of subcortical DKI metrics, have been observed [93].…”