Introduction Quantification of amyloid plaques (A), neurofibrillary tangles (T2), and neurodegeneration (N) using PET and MRI is critical for Alzheimer’s disease (AD) diagnosis and prognosis. Existing pipelines face limitations regarding processing time, tracer variability handling, and multimodal integration. Methods We developed petBrain, a novel end-to-end processing pipeline for amyloid-PET, tau-PET, and structural MRI. It leverages deep learning-based segmentation, standardized biomarker quantification (Centiloid, CenTauR, HAVAs), and simultaneous estimation of A, T2, and N biomarkers. It is implemented in a web-based format, requiring no local computational infrastructure and software usage knowledge. Results petBrain provides reliable, rapid quantification with results comparable to existing pipelines for A and T2, showing strong concordance with data processed in ADNI databases. The staging and quantification of A/T2/N by petBrain demonstrated good agreements with CSF/plasma biomarkers, clinical status and cognitive performance. Discussion petBrain represents a powerful open platform for standardized AD biomarker analysis, facilitating clinical research applications.

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npj Parkinson's Disease - Additive effect of distant Lewy bodies and tau seeds injections on nigral degeneration in macaques

Vincent Planche, neurologue bordelais, également enseignant et chercheur, travaille sur la maladie d’Alzheimer depuis 2017. Il vient notamment d’être récompensé par la Fondation de France pour ses

Vincent Planche, neurologue bordelais, également enseignant et chercheur, travaille sur la maladie d’Alzheimer depuis 2017. Il vient notamment d’être récompensé par la Fondation de France pour ses tra...

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