A multisite analysis of the concordance between visual image interpretation and quantitative analysis of [18F]flutemetamol amyloid PET images.
Marco BucciIrina SavitchevaGill FarrarGemma SalvadóLyduine CollijVincent DoréJuan Domingo GispertRoger GunnBernard HanseeuwOskar HanssonMahnaz ShekariRenaud LhommelJosé Luis MolinuevoChristopher RoweCyrille SurAlex WhittingtonChristopher BuckleyAgneta K NordbergPublished in: European journal of nuclear medicine and molecular imaging (2021)
Quantitation of amyloid PET shows a high agreement vs binary visual reading and also allows for a continuous measure that, in conjunction with possible discordant analysis, could be used in the future to identify possible earlier pathological deposition as well as monitor disease progression and treatment effectiveness.
Keyphrases
- deep learning
- pet ct
- positron emission tomography
- computed tomography
- randomized controlled trial
- mass spectrometry
- pet imaging
- systematic review
- ms ms
- liquid chromatography tandem mass spectrometry
- working memory
- liquid chromatography
- optical coherence tomography
- high performance liquid chromatography
- ionic liquid
- tandem mass spectrometry
- machine learning
- replacement therapy
- smoking cessation