Improving PET Imaging Acquisition and Analysis With Machine Learning: A Narrative Review With Focus on Alzheimer's Disease and Oncology.
Improving PET Imaging Acquisition and Analysis With Machine Learning: A Narrative Review With Focus on Alzheimer's Disease and Oncology. Mol Imaging. 2019 Jan-Dec;18:1536012119869070 Authors: Duffy IR, Boyle AJ, Vasdev N Abstract Machine learning (ML) algorithms have found increasing utility in the medical imaging field and numerous applications in the analysis of digital biomarkers within positron emission tomography (PET) imaging have emerged. Interest in the use of artificial intelligence in PET imaging for the study of neurodegenerative diseases and oncology stems from the potential for such techniques to streamline decision support for physicians providing early and accurate diagnosis and allowing personalized treatment regimens. In this review, the use of ML to improve PET image acquisition and reconstruction is presented, along with an overview of its applications in the analysis of PET images for the study of Alzheimer's disease and oncology. PMID: 31429375 [PubMed - in process]
ConclusionsWe examined the usefulness of voxel-based statistical analysis for amyloid PET. This method provides objectiveZ-score maps andZ-sum values, which were observed to be helpful as an adjunct to visual interpretation especially for cases with mild or limited A β accumulation. This approach could improve the Aβ detection sensitivity, reduce inter-reader variability, and allow for detailed monitoring of Aβ deposition.Trial registrationThe number of the J-ADNI study isUMIN000001374
In this study, researchers studied 438,952 participants in the UK Biobank, who had a total of 24,980 major coronary events - defined as the first occurrence of non-fatal heart attack, ischaemic stroke, or death due to coronary heart disease. They used an approach called Mendelian randomisation, which uses naturally occurring genetic differences to randomly divide the participants into groups, mimicking the effects of running a clinical trial. People with genes associated with lower blood pressure, lower LDL cholesterol, and a combination of both were put into different groups, and compared against those without thes...
DISCUSSION: The harmonized database is an optimum resource to design AD prevention trials decades before symptomatic onset. PMID: 31506247 [PubMed - as supplied by publisher]
Patients whose PET and MR images show beta-amyloid plaque accumulation in the...Read more on AuntMinnie.comRelated Reading: Study: FDG-PET reigns supreme for assessing Alzheimer's Who should get brain scans for Alzheimer's disease? PET model tracks beta amyloid, Alzheimer's risk PET shows how women are more susceptible to Alzheimer's MRI links brain region to dementia, auditory deterioration
Conclusions Random forests can classify brain PET as positive or negative for amyloid deposition and suggest key clinically relevant, regional features for classification.
ConclusionsEarly F-18 FPN study can be used as a proxy marker for the F-18 FDG PET.
Abstract Toll-like receptor-2 (TLR2), a member of the TLR family, plays an important role in the initiation and regulation of immune/inflammation response, which is a critical mechanism underlying Alzheimer's disease (AD). To clarify the role of TLR2 in the pathological process of AD, in the present study, TLR2 knockout plus APPswe/PSEN1dE9 transgenic mice (AD-TLR2KO) were generated. Neurobehavioral tests and brain MRI scan were conducted on mice at the age of 12 months. Additionally, neuron loss was evaluated using NeuN staining. Amyloid β protein (Aβ), glial fibrillary acidic protein (GFAP), endogenous...
DISCUSSION: Correlation patterns between tau burden and atrophy in the amyloid-β-negative group mimicking early Braak stages suggests that 18F-flortaucipir is sensitive to tau pathology in primary age-related tauopathy. Correlations of imaging measures with memory performance indicate that this pathology is associated with poorer cognition. PMID: 31495603 [PubMed - as supplied by publisher]
We examined human lung tissue from COPD patients and normal control subjects, and found a substantial increase in p16-expressing alveolar cells in COPD patients. Using a transgenic mouse deficient for p16, we demonstrated that lungs of mice lacking p16 were structurally and functionally resistant to CS-induced emphysema due to activation of IGF1/Akt regenerative and protective signaling. Fat Tissue Surrounds Skeletal Muscle to Accelerate Atrophy in Aging and Obesity https://www.fightaging.org/archives/2019/09/fat-tissue-surrounds-skeletal-muscle-to-accelerate-atrophy-in-aging-and-obesity/ Researchers her...
DiscussionThe harmonized database is an optimum resource to design AD prevention trials decades before symptomatic onset.