AIMC Topic: Radiopharmaceuticals

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Classification of amyloid status using machine learning with histograms of oriented 3D gradients.

NeuroImage. Clinical
Brain amyloid burden may be quantitatively assessed from positron emission tomography imaging using standardised uptake value ratios. Using these ratios as an adjunct to visual image assessment has been shown to improve inter-reader reliability, howe...

Automated electrophilic radiosynthesis of [¹⁸F]FBPA using a modified nucleophilic GE TRACERlab FXFDG.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
We modified a commercially available synthesis module for nucleophilic [(18)F]fluorinations (TRACERlab(TM) FXFDG, GE Healthcare) to enable the reliable synthesis of 2-[(18)F]fluoro-4-borono-L-phenylalanine ([(18)F]FBPA) via direct electrophilic subst...

Enhancing spatial resolution of (18)F positron imaging with the Timepix detector by classification of primary fired pixels using support vector machine.

Physics in medicine and biology
Position-sensitive positron cameras using silicon pixel detectors have been applied for some preclinical and intraoperative clinical applications. However, the spatial resolution of a positron camera is limited by positron multiple scattering in the ...

Fully-automated synthesis of 16β-(18)F-fluoro-5α-dihydrotestosterone (FDHT) on the ELIXYS radiosynthesizer.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
Noninvasive in vivo imaging of androgen receptor (AR) levels with positron emission tomography (PET) is becoming the primary tool in prostate cancer detection and staging. Of the potential (18)F-labeled PET tracers, (18)F-FDHT has clinically shown to...

Automated radiosynthesis of [(18)F]ciprofloxacin.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
We transferred the previously published manual synthesis of [(18)F]ciprofloxacin (decay-corrected RCY: 5.5±1.0%) to an automated synthesis module (TRACERlab(TM) FXFDG, GE Healthcare) and observed a strong decrease in RCY (0.4±0.4%). When replacing th...

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
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...

Manifold regularized multitask feature learning for multimodality disease classification.

Human brain mapping
Multimodality based methods have shown great advantages in classification of Alzheimer's disease (AD) and its prodromal stage, that is, mild cognitive impairment (MCI). Recently, multitask feature selection methods are typically used for joint select...

Machine learning models for the differential diagnosis of vascular parkinsonism and Parkinson's disease using [(123)I]FP-CIT SPECT.

European journal of nuclear medicine and molecular imaging
PURPOSE: The study's objective was to develop diagnostic predictive models using data from two commonly used [(123)I]FP-CIT SPECT assessment methods: region-of-interest (ROI) analysis and whole-brain voxel-based analysis.

FDG-PET Intensity Normalization Improves Radiomics-Based Survival Prediction in Patients with Oropharyngeal Cancer: A Comparison of the Standardized Uptake Value with Alternative Normalization Techniques.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Despite the widespread research application of radiomics, there is a knowledge gap regarding the optimal voxel intensity normalization strategy for FDG-PET radiomics. We investigated the impact of 3 normalization strategies on...