Predicting Amyloid Pathology in Mild Cognitive Impairment Using Radiomics Analysis of Magnetic Resonance Imaging

Park, Yae Won; Choi, Duck Joo; Park, Mina; Ahn, Sung Jun; Ahn, Sung Soo; Suh, Sang Hyun; Lee, Seung Koo; Initiative, Alzheimer’s Disease Neuroimaging

doi:10.3233/jad-200734

Cited by 6 publications

(4 citation statements)

References 50 publications

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“… 22 Another study performed the same task with only T1-MRI. 23 Both were able to achieve an AUC close to 0.75. Some diagnostic studies demonstrated an advantage of using multimodality data, 22 and many found that features from the MTL regions emerged as the most informative, similar to findings in the prognostic studies.…”

Section: Use Of Traditional Radiomics In Adrd Neuroimagingmentioning

confidence: 92%

Beyond Macrostructure: Is There a Role for Radiomics Analysis in Neuroimaging ?

Das,

Ilesanmi,

Wolk

et al. 2024

magn reson med sci

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Section: Use Of Traditional Radiomics In Adrd Neuroimagingmentioning

confidence: 92%

Beyond Macrostructure: Is There a Role for Radiomics Analysis in Neuroimaging ?

Das,

Ilesanmi,

Wolk

et al. 2024

magn reson med sci

View full text Add to dashboard Cite

“…108 Using radiomics models from MRI can help predict amyloid positivity in patients with MCI. 109 We summarised the structural MRI regions associated with pAD in table 3. Some other MRI technologies, such as resting-state functional MRI and diffusion tensor imaging, as well as novel AI-based approaches, such as machine learning and convolutional networks, have improved the accuracy of MRI for the diagnosis of pAD.…”

Section: Mrimentioning

confidence: 99%

Consensus on rapid screening for prodromal Alzheimer’s disease in China

Huang,

Li,

et al. 2024

Gen Psych

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Alzheimer’s disease (AD) is a common cause of dementia, characterised by cerebral amyloid-β deposition, pathological tau and neurodegeneration. The prodromal stage of AD (pAD) refers to patients with mild cognitive impairment (MCI) and evidence of AD’s pathology. At this stage, disease-modifying interventions should be used to prevent the progression to dementia. Given the inherent heterogeneity of MCI, more specific biomarkers are needed to elucidate the underlying AD’s pathology. Although the uses of cerebrospinal fluid and positron emission tomography are widely accepted methods for detecting AD’s pathology, their clinical applications are limited by their high costs and invasiveness, particularly in low-income areas in China. Therefore, to improve the early detection of Alzheimer's disease (AD) pathology through cost-effective screening methods, a panel of 45 neurologists, psychiatrists and gerontologists was invited to establish a formal consensus on the screening of pAD in China. The supportive evidence and grades of recommendations are based on a systematic literature review and focus group discussion. National meetings were held to allow participants to review, vote and provide their expert opinions to reach a consensus. A majority (two-thirds) decision was used for questions for which consensus could not be reached. Recommended screening methods are presented in this publication, including neuropsychological assessment, peripheral biomarkers and brain imaging. In addition, a general workflow for screening pAD in China is established, which will help clinicians identify individuals at high risk and determine therapeutic targets.

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“…Converging evidence highlights the potential of radiomics approaches to serve as neuroimaging biomarkers in the field of the neurodegenerative brain (9)(10)(11)(12). This narrative review presents the last progress and potential application of radiomics in the field of neurodegenerative nuclear imaging focusing mainly on positron-emission tomography (PET) and singlephoton emission computerized tomography (SPECT) with different radiotracers.…”

Section: Introductionmentioning

confidence: 99%

Radiomics insight into the neurodegenerative “hot” brain: A narrative review from the nuclear medicine perspective

et al. 2023

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The application of radiomics for non-oncologic diseases is currently emerging. Despite its relative infancy state, the evidence highlights the potential of radiomics approaches to serve as neuroimaging biomarkers in the field of the neurodegenerative brain. This systematic review presents the last progress and potential application of radiomics in the field of neurodegenerative nuclear imaging applied to positron-emission tomography (PET) and single-photon emission computed tomography (SPECT) by focusing mainly on the two most common neurodegenerative disorders, Alzheimer's (AD) and Parkinson's disease (PD). A comprehensive review of the current literature was performed using the PubMed and Web of Science databases up to November 2022. The final collection of eighteen relevant publications was grouped as AD-related and PD-related. The main efforts in the field of AD dealt with radiomics-based early diagnosis of preclinical AD and the prediction of MCI to AD conversion, meanwhile, in the setting of PD, the radiomics techniques have been used in the attempt to improve the assessment of PD diagnosis, the differential diagnosis between PD and other parkinsonism, severity assessment, and outcome prediction. Although limited evidence with relatively small cohort studies, it seems that radiomics-based analysis using nuclear medicine tools, mainly [18F]Fluorodeoxyglucose (FDG) and β-amyloid (Aβ) PET, and dopamine transporter (DAT) SPECT, can be used for computer-aided diagnoses in AD-continuum and parkinsonian disorders. Combining nuclear radiomics analysis with clinical factors and introducing a multimodality approach can significantly improve classification and prediction efficiency in neurodegenerative disorders.

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Predicting Amyloid Pathology in Mild Cognitive Impairment Using Radiomics Analysis of Magnetic Resonance Imaging

Cited by 6 publications

References 50 publications

Beyond Macrostructure: Is There a Role for Radiomics Analysis in Neuroimaging ?

Beyond Macrostructure: Is There a Role for Radiomics Analysis in Neuroimaging ?

Consensus on rapid screening for prodromal Alzheimer’s disease in China

Radiomics insight into the neurodegenerative “hot” brain: A narrative review from the nuclear medicine perspective

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