Parkinson disease-related cortical and striatal cognitive patterns in dual time F-18 FP CIT: evidence for neural correlates between the caudate and the frontal lobe

Son, Hye Joo; Jeong, Young Jin; Yoon, Hyun Jin; Kim, Jae W; Choi, Go-E; Park, Jong H; Kang, Do-Y

doi:10.23736/s1824-4785.17.02976-4

Cited by 8 publications

(4 citation statements)

References 27 publications

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“…Furthermore, the region of interest approach is a semi‐quantitative analysis method; more advanced neuroimaging techniques that can improve the diagnostic accuracy for PD or the differentiation of atypical Parkinsonism from PD are needed. Interestingly, studies on statistical parametric mapping, source‐based morphometry, and dual‐time 18 F‐FP‐CIT reported promising findings with respect to the diagnosis of PD 25,79,80 …”

Section: Discussionmentioning

confidence: 99%

Imaging of dopamine transporters in Parkinson disease: a meta‐analysis of ¹⁸F/¹²³I‐FP‐CIT studies

Kong

Zhang

Liu

et al. 2020

Ann Clin Transl Neurol

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Objective 18F‐FP‐CIT and 123I‐FP‐CIT are widely used radiotracers in molecular imaging for Parkinson’s disease (PD) diagnosis. Compared with 123I‐FP‐CIT, 18F‐FP‐CIT has superior tracer kinetics. We aimed to conduct a meta‐analysis to assess the efficacy of using 18F‐FP‐CIT positron emission tomography (PET) and 123I‐FP‐CIT single‐photon emission computed tomography (SPECT) of dopamine transporters in patients with PD in order to provide evidence for clinical decision‐making. Methods We searched the PubMed, Embase, Wanfang Data, and China National Knowledge Infrastructure databases to identify the relevant studies from the time of inception of the databases to 30 April 2020. We identified six PET studies, including 779 patients with PD and 124 healthy controls, which met the inclusion criteria. Twenty‐seven SPECT studies with 1244 PD patients and 859 controls were also included in this meta‐analysis. Results Overall effect‐size analysis indicated that patients with PD showed significantly reduced 18F‐FP‐CIT uptake in three brain regions [caudate nucleus: standardized mean difference (SMD) = −1.71, Z = −3.31, P = 0.0009; anterior putamen: SMD = −3.71, Z = −6.26, P < 0.0001; and posterior putamen: SMD = −5.49, Z = −5.97, P < 0.0001]. Significant decreases of 123I‐FP‐CIT uptake were also observed in the caudate (SMD = −2.31, Z = −11.49, P < 0.0001) and putamen (SMD = −3.25, Z = −14.79, P < 0.0001). Interpretation In conclusion, our findings indicate that both 18F‐FP‐CIT PET and 123I‐FP‐CIT SPECT imaging of dopamine transporters can provide viable biomarkers for early PD diagnosis.

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Section: Discussionmentioning

confidence: 99%

Imaging of dopamine transporters in Parkinson disease: a meta‐analysis of ¹⁸F/¹²³I‐FP‐CIT studies

Kong

Zhang

Liu

et al. 2020

Ann Clin Transl Neurol

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“…Ko et al found that the increased uptake of caudate was correlated with motor symptom severity [31]. Evidences from in vivo PET also connected caudate dopamine depletion and executive deficits in PD patients [26, 32, 33].…”

Section: Discussionmentioning

confidence: 99%

The Metabolic Activity of Caudate and Prefrontal Cortex Negatively Correlates with the Severity of Idiopathic Parkinson’s Disease

Chu¹,

Liu²,

Wang³

et al. 2019

Aging and disease

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Positron emission tomography (PET) scan with tracer [ 18 F]-fluorodeoxy-glucose ( 18 F-FDG) is widely used to measure the glucose metabolism in neurodegenerative disease such as Idiopathic Parkinson’s disease (IPD). Previous studies using 18 F-FDG PET mainly focused on the motor or non-motor symptoms but not the severity of IPD. In this study, we aimed to determine the metabolic patterns of 18 F-FDG in different stages of IPD defined by Hoehn and Yahr rating scale (H-Y rating scale) and to identify regions in the brain that play critical roles in disease progression. Fifty IPD patients were included in this study. They were 29 men and 21 women (mean±SD, age 57.7±11.1 years, disease duration 4.0±3.8 years, H-Y 2.2±1.1). Twenty healthy individuals were included as normal controls. Following 18 F-FDG PET scan, image analysis was performed using Statistical Parametric Mapping (SPM) and Resting-State fMRI Data Analysis Toolkit (REST). The metabolic feature of IPD and regions-of-interests (ROIs) were determined. Correlation analysis between ROIs and H-Y stage was performed. SPM analysis demonstrated a significant hypometabolic activity in bilateral putamen, caudate and anterior cingulate as well as left parietal lobe, prefrontal cortex in IPD patients. In contrast, hypermetabolism was observed in the cerebellum and vermis. There was a negative correlation ( p =0.007, r =-0.412) between H-Y stage and caudate metabolic activity. Moreover, the prefrontal area also showed a negative correlation with H-Y ( P =0.033, r =-0.334). Thus, the uptake of FDG in caudate and prefrontal cortex can potentially be used as a surrogate marker to evaluate the severity of IPD.

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“…Scanning was performed with a Biograph mCT flow PET/CT (Siemens), providing an in-plane spatial resolution of up to 5.0 mm full-width at half maximum at the center of the field of view. Patients were injected intravenously with 185 MBq F-18 FP-CIT and PET/CT acquisition was started 2 hours after radioisotope tracer injection [28–30] . A helical CT scan was performed with a rotational time of 0.5 seconds at 120 kVp and 100 mA without intravenous contrast agent.…”

Section: Methodsmentioning

confidence: 99%

“…Patients were injected intravenously with 185 MBq F-18 FP-CIT and PET/ CT acquisition was started 2 hours after radioisotope tracer injection. [28][29][30] A helical CT scan was performed with a rotational time of 0.5 seconds at 120 kVp and 100 mA without intravenous contrast agent. PET scan was followed by CT scan and acquired for 10 minutes in 3D mode.…”

Section: Database Of Dopamine Transporter Brain Pet Imagesmentioning

confidence: 99%

Heterogeneity by global and textural feature analysis in F-18 FP-CIT brain PET images for diagnosis of Parkinson's disease

et al. 2021

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Background: The quantification of heterogeneity for the striatum and whole brain with F-18 FP-CIT PET images will be useful for diagnosis. The index obtained from texture analysis on PET images is related to pathological change that the neuronal loss of the nigrostriatal tract is heterogeneous according to the disease state. The aim of this study is to evaluate various heterogeneity indices of F-18 FP-CIT PET images in the diagnosis of Parkinson's disease (PD) patients and to access the diagnostic accuracy of the indices using machine learning (ML). Methods: This retrospective study included F-18 FP-CIT PET images of 31 PD and 31 age-matched health controls (HC). The volume of interest was delineated according to iso-contour lines around standardized uptake value (SUV) 3.0 g/ml for each region of the striatum by PMod 3.603. One hundred eight heterogeneity indices were calculated using CGITA to find indices from which the PD and HC were classified using statistical significance. PD group was classified by constructing a 2-dimensional or 3-dimensional phase space quantifier using these heterogeneity indices. We used 71 heterogeneity indices to classify PD from HC using ML for dimensional reduction. Results: The heterogeneity indices for classifying PD from HC were size-zone variability, contrast, inverse difference-moment, and homogeneity in the order of low P value. Three-dimensional quantifiers composed of normalized-contrast, code-similarity, and contrast were more clearly classified than 2-dimensional ones. After 71-dimensional reduction using PCA, classification was possible by logistic regression with 91.3% accuracy. The 2 groups were classified with an accuracy of 85.5% using the support vector machine and 88.4% using the random forest. The classification accuracy using the eXtreme Gradient Boosting was 95.7%, and feature importance was highest in order of SUV bias-corrected kurtosis, size-zone-variability, intensity-variability, and high-intensity-zone-variability. Conclusion: It was confirmed that PD patients is more clearly classified than the conventional 2-dimensional quantifier by introducing a 3-dimensional phase space quantifier. We observed that ML can be used to classify the 2 groups in an easy and explanatory manner. For the discrimination of the disease, 24 heterogeneity indices were found to be statistically useful, and the major cut-off values of 3 heterogeneity indices were size-zone variability (1906.44), intensity variability (129.21), and high intensity zone emphasis (800.29).

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Parkinson disease-related cortical and striatal cognitive patterns in dual time F-18 FP CIT: evidence for neural correlates between the caudate and the frontal lobe

Cited by 8 publications

References 27 publications

Imaging of dopamine transporters in Parkinson disease: a meta‐analysis of ¹⁸F/¹²³I‐FP‐CIT studies

Imaging of dopamine transporters in Parkinson disease: a meta‐analysis of ¹⁸F/¹²³I‐FP‐CIT studies

The Metabolic Activity of Caudate and Prefrontal Cortex Negatively Correlates with the Severity of Idiopathic Parkinson’s Disease

Heterogeneity by global and textural feature analysis in F-18 FP-CIT brain PET images for diagnosis of Parkinson's disease

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Parkinson disease-related cortical and striatal cognitive patterns in dual time F-18 FP CIT: evidence for neural correlates between the caudate and the frontal lobe

Cited by 8 publications

References 27 publications

Imaging of dopamine transporters in Parkinson disease: a meta‐analysis of 18F/123I‐FP‐CIT studies

Imaging of dopamine transporters in Parkinson disease: a meta‐analysis of 18F/123I‐FP‐CIT studies

The Metabolic Activity of Caudate and Prefrontal Cortex Negatively Correlates with the Severity of Idiopathic Parkinson’s Disease

Heterogeneity by global and textural feature analysis in F-18 FP-CIT brain PET images for diagnosis of Parkinson's disease

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Imaging of dopamine transporters in Parkinson disease: a meta‐analysis of ¹⁸F/¹²³I‐FP‐CIT studies

Imaging of dopamine transporters in Parkinson disease: a meta‐analysis of ¹⁸F/¹²³I‐FP‐CIT studies