Comparison of univariate and multivariate analyses for brain [18F]FDG PET data in α-synucleinopathies

Carli, Giulia; Meles, Sanne K.; Reesink, Fransje E.; Jong, Bauke M. de; Padovani, Alessandro; Padovani, Alessandro; Galbiati, Andrea; Ferini‐Strambi, Luigi; Leenders, Klaus L.; Perani, Daniela

doi:10.1016/j.nicl.2023.103475

Cited by 4 publications

(3 citation statements)

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“…PET imaging utilizes several different radiotracers to target specific physiological processes. For cerebrovascular diseases, commonly used radiotracers include fluorodeoxyglucose (FDG) ( 85 ), which measures glucose metabolism, and oxygen-15 labeled water (H2^15O), which measures regional cerebral blood flow (rCBF) ( 86 ). Other tracers such as carbon-11 labeled Pittsburgh compound B (PiB) and fluorine-18 labeled florbetapir have been used to evaluate cerebral amyloid deposition in conditions like Alzheimer’s disease ( 87 , 88 ).…”

Section: Petmentioning

confidence: 99%

The novel imaging methods in diagnosis and assessment of cerebrovascular diseases: an overview

Liu,

Yao,

Zhu

et al. 2024

Front. Med.

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Cerebrovascular diseases, including ischemic strokes, hemorrhagic strokes, and vascular malformations, are major causes of morbidity and mortality worldwide. The advancements in neuroimaging techniques have revolutionized the field of cerebrovascular disease diagnosis and assessment. This comprehensive review aims to provide a detailed analysis of the novel imaging methods used in the diagnosis and assessment of cerebrovascular diseases. We discuss the applications of various imaging modalities, such as computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), and angiography, highlighting their strengths and limitations. Furthermore, we delve into the emerging imaging techniques, including perfusion imaging, diffusion tensor imaging (DTI), and molecular imaging, exploring their potential contributions to the field. Understanding these novel imaging methods is necessary for accurate diagnosis, effective treatment planning, and monitoring the progression of cerebrovascular diseases.

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Section: Petmentioning

confidence: 99%

The novel imaging methods in diagnosis and assessment of cerebrovascular diseases: an overview

Liu,

Yao,

Zhu

et al. 2024

Front. Med.

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“…The scaled subprofile model/principal component analysis (SSM/PCA) technique is a multivariate statistical method that captures covariance patterns of voxel‐based differences in brain metabolism. 16 This feature extraction method enhances the identification of significant patterns and mirrors the underlying relationships between brain regions. SSM/PCA has successfully identified specific cortical–subcortical interactions in Parkinson's syndromes 17 and other neurodegenerative diseases, 18 achieving superior classification through the derived glucose metabolism pattern (GMP).…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Whole‐brain glucose metabolic pattern differentiates minimally conscious state from unresponsive wakefulness syndrome

Guo,

Zhang,

Quan

et al. 2024

CNS Neurosci Ther

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AimsThe patient being minimally conscious state (MCS) may benefit from wake‐up interventions aimed at improving quality of life and have a higher probability of recovering higher level of consciousness compared to patients with the unresponsive wakefulness syndrome (UWS). However, differentiation of the MCS and UWS poses challenge in clinical practice. This study aimed to explore glucose metabolic pattern (GMP) obtained from 18F‐labeled‐fluorodeoxyglucose positron emission tomography (18F‐FDG‐PET) in distinguishing between UWS and MCS.MethodsFifty‐seven patients with disorders of consciousness (21 cases of UWS and 36 cases of MCS) who had undergone repeated standardized Coma Recovery Scale‐Revised (CRS‐R) evaluations were enrolled in this prospective study. 18F‐FDG‐PET was carried out in all patients and healthy controls (HCs). Voxel‐based scaled subprofile model/principal component analysis (SSM/PCA) was used to generate GMPs. The expression score of whole‐brain GMP was obtained, and its diagnostic accuracy was compared with the standardized uptake value ratio (SUVR). The diagnostic efficiency was validated by one‐year later clinical outcomes.ResultsUWS‐MCS GMP exhibited hypometabolism in the frontal–parietal cortex, along with hypermetabolism in the unilateral lentiform nucleus, putamen, and anterior cingulate gyrus. The UWS‐MCS‐GMP expression score was significantly higher in UWS compared to MCS patients (0.90 ± 0.85 vs. 0 ± 0.93, p < 0.001). UWS‐MCS‐GMP expression score achieved an area under the curve (AUC) of 0.77 to distinguish MCS from UWS, surpassing that of SUVR based on the frontoparietal cortex (AUC = 0.623). UWS‐MCS‐GMP expression score was significantly correlated with the CRS‐R score (r = −0.45, p = 0.004) and accurately predicted the one‐year outcome in 73.7% of patients.ConclusionUWS and MCS exhibit specific glucose metabolism patterns, the UWS‐MCS‐GMP expression score significantly distinguishes MCS from UWS, making SSM/PCA a potential diagnostic methods in clinical practice for individual patients.

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Atypical brain FDG-PET patterns increase the risk of long-term cognitive and motor progression in Parkinson's disease

Imarisio,

Pilotto,

Premi

et al. 2023

Parkinsonism & Related Disorders

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Comparison of univariate and multivariate analyses for brain [18F]FDG PET data in α-synucleinopathies

Cited by 4 publications

References 84 publications

The novel imaging methods in diagnosis and assessment of cerebrovascular diseases: an overview

The novel imaging methods in diagnosis and assessment of cerebrovascular diseases: an overview

Whole‐brain glucose metabolic pattern differentiates minimally conscious state from unresponsive wakefulness syndrome

Atypical brain FDG-PET patterns increase the risk of long-term cognitive and motor progression in Parkinson's disease

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