Artificial intelligence-based rapid brain volumetry substantially improves differential diagnosis in dementia.
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Rudolph Jan, Rueckel Johannes, Döpfert Jörg, Ling Wen Xin, Opalka Jens, Brem Christian, Hesse Nina, Ingenerf Maria, Koliogiannis Vanessa, Solyanik Olga, Hoppe Boj F, Zimmermann Hanna, Flatz Wilhelm, Forbrig Robert, Patzig Maximilian, Rauchmann Boris-Stephan, Perneczky Robert, Peters Oliver, Priller Josef, Schneider Anja, Fliessbach Klaus, Hermann Andreas, Wiltfang Jens, Jessen Frank, Düzel Emrah, Buerger Katharina, Teipel Stefan, Laske Christoph, Synofzik Matthis, Spottke Annika, Ewers Michael, Dechent Peter, Haynes John-Dylan, Levin Johannes, Liebig Thomas, Ricke Jens, Ingrisch Michael, Stoecklein Sophia
Аннотация
METHODS: Fifty-five patients-17 with Alzheimer's disease (AD), 18 with frontotemporal dementia (FTD), and 20 healthy controls-underwent cranial magnetic resonance imaging scans. Two board-certified neuroradiologists (BCNR), two board-certified radiologists (BCR), and three radiology residents (RR) assessed the scans twice: first without AI support and then with AI assistance.
RESULTS: AI significantly improved diagnostic accuracy for AD (area under the curve -AI: 0.800, +AI: 0.926, p < 0.05), with increased correct diagnoses (p < 0.01) and reduced errors (p < 0.03). BCR and RR showed notable performance gains (BCR: p < 0.04; RR: p < 0.02). For the diagnosis FTD, overall consensus (p < 0.01), BCNR (p < 0.02), and BCR (p < 0.05) recorded significantly more correct diagnoses.
DISCUSSION: AI-assisted volumetry improves diagnostic performance in differentiating AD and FTD, benefiting all reader groups, including BCNR.
HIGHLIGHTS: Artificial intelligence (AI)-supported brain volumetry significantly improved the diagnostic accuracy for Alzheimer's disease (AD) and frontotemporal dementia (FTD), with notable performance gains across radiologists of varying expertise levels.The presented AI tool is readily clinically available and reduces brain volumetry processing time from 12 to 24 hours to under 5 minutes, with full integration into picture archiving and communication systems, streamlining the workflow and facilitating real-time clinical decision making.AI-supported rapid brain volumetry has the potential to improve early diagnosis and to improve patient management.