ArticleFrontiers in neuroscience2018
Dual-Model Radiomic Biomarkers Predict Development of Mild Cognitive Impairment Progression to Alzheimer's Disease.
Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment.The Cochrane database of systematic reviews · 2020Pooled it
- Beyond Macrostructure: Is There a Role for Radiomics Analysis in Neuroimaging ?Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Review
- Radiomics insight into the neurodegenerative "Frontiers in nuclear medicine · 2023Review
- Electroencephalography and mild cognitive impairment research: A scoping review and bibliometric analysis (ScoRBA).AIMS neuroscience · 2023Article
- A review of brain imaging biomarker genomics in Alzheimer's disease: implementation and perspectives.Translational neurodegeneration · 2022Review
- Gray and white matter structural examination for diagnosis of major depressive disorder and subthreshold depression in adolescents and young adults: a preliminary radiomics analysis.BMC medical imaging · 2022Article
- A Novel Deep Learning Radiomics Model to Discriminate AD, MCI and NC: An Exploratory Study Based on Tau PET Scans from ADNI.Brain sciences · 2022Article
- Combining PET with MRI to improve predictions of progression from mild cognitive impairment to Alzheimer's disease: an exploratory radiomic analysis study.Annals of translational medicine · 2022Article
- Radiomics Analysis of Brain [Diagnostics (Basel, Switzerland) · 2022Article
- PET/MR fusion texture analysis for the clinical outcome prediction in soft-tissue sarcoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022Article
- Using Deep Learning Radiomics to Distinguish Cognitively Normal Adults at Risk of Alzheimer's Disease From Normal Control: An Exploratory Study Based on Structural MRI.Frontiers in medicine · 2022Article
- BMNet: A New Region-Based Metric Learning Method for Early Alzheimer's Disease Identification With FDG-PET Images.Frontiers in neuroscience · 2022Article
- Predicting amyloid positivity in patients with mild cognitive impairment using a radiomics approach.Scientific reports · 2021Article
- Early prediction of putamen imaging features in HIV-associated neurocognitive impairment syndrome.BMC neurology · 2021Article
- Deep-Learning Radiomics for Discrimination Conversion of Alzheimer's Disease in Patients With Mild Cognitive Impairment: A Study Based onFrontiers in aging neuroscience · 2021Article
- Neural Correlates of Mild Behavioral Impairment: A Functional Brain Connectivity Study Using Resting-State Functional Magnetic Resonance Imaging.Journal of Alzheimer's disease : JAD · 2021Article
- Quality Reporting of Radiomics Analysis in Mild Cognitive Impairment and Alzheimer's Disease: A Roadmap for Moving Forward.Korean journal of radiology · 2020Article
- Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer's dementia.European journal of nuclear medicine and molecular imaging · 2020Article
- Evaluating FocalNuclear medicine and molecular imaging · 2020Article
- Prediction of conversion to Alzheimer's disease using deep survival analysis of MRI images.Brain communications · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Predicting progression of mild cognitive impairment (MCI) to Alzheimer's disease (AD) is clinically important. In this study, we propose a dual-model radiomic analysis with multivariate Cox proportional hazards regression models to investigate promising risk factors associated with MCI conversion to AD. T1 structural magnetic resonance imaging (MRI) and
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.