AIMC Topic: Tomography, Emission-Computed, Single-Photon

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Artificial neural network retrained to detect myocardial ischemia using a Japanese multicenter database.

Annals of nuclear medicine Mar 7, 2018
PURPOSE: An artificial neural network (ANN) has been applied to detect myocardial perfusion defects and ischemia. The present study compares the diagnostic accuracy of a more recent ANN version (1.1) with the initial version 1.0.
Female Aged Male ROC Curve Area Under Curve Coronary Angiography Humans Neural Networks, Computer Artificial Intelligence Databases as Topic Endovascular Procedures Myocardial Ischemia Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Organotechnetium Compounds Heart Cardiac Surgical Procedures Radiopharmaceuticals Japan Quality Improvement Image Interpretation, Computer-Assisted
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Extraction, selection and comparison of features for an effective automated computer-aided diagnosis of Parkinson's disease based on [I]FP-CIT SPECT images.

European journal of nuclear medicine and molecular imaging Dec 23, 2017
PURPOSE: This work aimed to assess the potential of a set of features extracted from [I]FP-CIT SPECT brain images to be used in the computer-aided "in vivo" confirmation of dopaminergic degeneration and therefore to assist clinical decision to diagno...
Middle Aged Humans Image Processing, Computer-Assisted Female Parkinson Disease Sweden Tomography, Emission-Computed, Single-Photon Aged Tropanes Male
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Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning.

JACC. Cardiovascular imaging Oct 18, 2017
OBJECTIVES: This study evaluated the added predictive value of combining clinical information and myocardial perfusion single-photon emission computed tomography (SPECT) imaging (MPI) data using machine learning (ML) to predict major adverse cardiac ...
Risk Factors Aged Aged, 80 and over Male Cardiovascular Diseases Middle Aged Humans Machine Learning Prognosis Female Reproducibility of Results Exercise Test Tomography, Emission-Computed, Single-Photon Coronary Circulation Myocardial Perfusion Imaging Risk Assessment Hemodynamics Time Factors Health Status Predictive Value of Tests
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Support vector machine-based classification of neuroimages in Alzheimer's disease: direct comparison of FDG-PET, rCBF-SPECT and MRI data acquired from the same individuals.

Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) Oct 2, 2017
OBJECTIVE: To conduct the first support vector machine (SVM)-based study comparing the diagnostic accuracy of T1-weighted magnetic resonance imaging (T1-MRI), F-fluorodeoxyglucose-positron emission tomography (FDG-PET) and regional cerebral blood flo...
Fluorodeoxyglucose F18 Tomography, Emission-Computed, Single-Photon Educational Status Aged Sensitivity and Specificity Humans Male Support Vector Machine Female Case-Control Studies Magnetic Resonance Imaging Brain Mapping Predictive Value of Tests Alzheimer Disease Positron-Emission Tomography
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New Dandelion Algorithm Optimizes Extreme Learning Machine for Biomedical Classification Problems.

Computational intelligence and neuroscience Sep 11, 2017
Inspired by the behavior of dandelion sowing, a new novel swarm intelligence algorithm, namely, dandelion algorithm (DA), is proposed for global optimization of complex functions in this paper. In DA, the dandelion population will be divided into two...
Brain Computer Simulation Blood Transfusion Electroencephalography Heart Heart Diseases Tomography, Emission-Computed, Single-Photon Visual Perception Taraxacum Humans Neural Networks, Computer Machine Learning
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Refining diagnosis of Parkinson's disease with deep learning-based interpretation of dopamine transporter imaging.

NeuroImage. Clinical Sep 10, 2017
Dopaminergic degeneration is a pathologic hallmark of Parkinson's disease (PD), which can be assessed by dopamine transporter imaging such as FP-CIT SPECT. Until now, imaging has been routinely interpreted by human though it can show interobserver va...
Middle Aged Parkinson Disease Neuroimaging Radionuclide Imaging Tomography, Emission-Computed, Single-Photon Tropanes Machine Learning Algorithms Female Aged Male Dopamine Plasma Membrane Transport Proteins Humans Neural Networks, Computer
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The Variability of Translocator Protein Signal in Brain and Blood of Genotyped Healthy Humans Using In Vivo I-CLINDE SPECT Imaging: A Test-Retest Study.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Nov 10, 2016
I-CLINDE is a radiotracer developed for SPECT and targets the 18-kDa translocator protein (TSPO). TSPO is upregulated in glial cells and used as a measure of neuroinflammation in a variety of central nervous system diseases. The aim of this study was...
Tomography, Emission-Computed, Single-Photon Receptors, GABA Radiopharmaceuticals Reference Values Molecular Imaging Bridged Bicyclo Compounds, Heterocyclic Tissue Distribution Biomarkers Brain Female Reproducibility of Results Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Genotype Humans
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Multispectral Fluorescence Imaging During Robot-assisted Laparoscopic Sentinel Node Biopsy: A First Step Towards a Fluorescence-based Anatomic Roadmap.

European urology Jun 23, 2016
BACKGROUND: During (robot-assisted) sentinel node (SN) biopsy procedures, intraoperative fluorescence imaging can be used to enhance radioguided SN excision. For this combined pre- and intraoperative SN identification was realized using the hybrid SN...
Tomography, Emission-Computed, Single-Photon Laparoscopes Lymphography Optical Imaging Technetium Prostatectomy Sentinel Lymph Node Biopsy Fluorescein Pilot Projects Treatment Outcome Predictive Value of Tests Robotics Prostatic Neoplasms Fluorescent Dyes Laparoscopy Equipment Design Humans Feasibility Studies Aged Radiopharmaceuticals Male Indocyanine Green Middle Aged Sentinel Lymph Node
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Artificial neural network modeling enhances risk stratification and can reduce downstream testing for patients with suspected acute coronary syndromes, negative cardiac biomarkers, and normal ECGs.

The international journal of cardiovascular imaging Dec 1, 2015
Despite uncertain yield, guidelines endorse routine stress myocardial perfusion imaging (MPI) for patients with suspected acute coronary syndromes, unremarkable serial electrocardiograms, and negative troponin measurements. In these patients, outcome...
Retrospective Studies Female Risk Factors Aged Male Middle Aged Risk Assessment Severity of Illness Index Electrocardiography Predictive Value of Tests Coronary Angiography Humans Neural Networks, Computer Decision Support Techniques Biomarkers Prognosis Myocardial Perfusion Imaging Troponin Coronary Stenosis Coronary Artery Disease Acute Coronary Syndrome Tomography, Emission-Computed, Single-Photon Unnecessary Procedures
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Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Dec 6, 2014
OBJECTIVE: We aimed to investigate if early revascularization in patients with suspected coronary artery disease can be effectively predicted by integrating clinical data and quantitative image features derived from perfusion SPECT (MPS) by machine l...
Thallium Radioisotopes Radiopharmaceuticals Tomography, Emission-Computed, Single-Photon Myocardial Revascularization Myocardial Perfusion Imaging Technetium Tc 99m Sestamibi Humans Machine Learning Algorithms Retrospective Studies Image Processing, Computer-Assisted Female Electrocardiography Aged Coronary Angiography Sensitivity and Specificity Exercise Test Male Heart Middle Aged Coronary Artery Disease
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