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Real-word application of the AT(N) classification and disease-modifying treatment eligibility in a hospital-based cohort.

Elisa CanuGiulia RugarliFederico CoragliaSilvia BasaiaGiordano CecchettiSonia Francesca CalloniPaolo Quintiliano VezzulliEdoardo Gioele SpinelliRoberto SantangeloFrancesca CasoAndrea FaliniGiuseppe MagnaniMassimo FilippiFederica Agosta
Published in: Journal of neurology (2024)
The AT(N) classification is applicable in a real-world clinical setting. The classification system provided insights into clinical management and treatment strategies. Low cognitive performance and specific regional FDG-PET hypometabolism at diagnosis are highly suggestive for A + T + or A - T + profiles. This work provides also a realistic picture of the proportion of AD patients eligible for disease modifying treatments emphasizing the need for early detection.
Keyphrases
  • machine learning
  • deep learning
  • end stage renal disease
  • ejection fraction
  • pet ct
  • newly diagnosed
  • positron emission tomography
  • pet imaging
  • computed tomography
  • peritoneal dialysis
  • patient reported
  • smoking cessation