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100 1 _ |0 P:(DE-2719)9003165
|a Bendella, Zeynep
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245 _ _ |a Longitudinal Monitoring of Brain Volume Changes After COVID-19 Infection Using Artificial Intelligence-Based MRI Volumetry.
260 _ _ |a Basel
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|c 2025
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520 _ _ |a Background/Objectives: SARS-CoV-2 infection has been linked to long-term neurological sequelae and structural brain alterations. Previous analyses, including baseline results from the COVIMMUNE-Clin study, showed brain volume reductions in COVID-19 patients. Longitudinal data on progression are scarce. This study examined brain volume changes 12 months after baseline MRI in individuals who have recovered from mild or severe COVID-19 compared with controls. Methods: In this IRB-approved cohort study, 112 out of 172 recruited age- and sex-matched participants (38 controls, 36 mild/asymptomatic 38 severe COVID-19) underwent standardized brain MRI 12 months after baseline. Volumetric analysis was performed using AI-based software (mdbrain). Regional volumes were compared between groups with respect to absolute and normalized values. Multivariate regression controlled for demographics. Results: After 12 months, a significant decline in right hippocampal volume was observed across all groups, most pronounced in severe COVID-19 (SEV: Δ = -0.32 mL, p = 0.001). Normalized to intracranial volume, the reduction remained significant (SEV: Δ = -0.0003, p = 0.001; ASY: Δ = -0.0001, p = 0.001; CTL: minimal reduction, Δ ≈ 0, p = 0.005). Minor reductions in frontal and parietal lobes (e.g., right frontal SEV: Δ = -1.35 mL, p = 0.001), largely fell within physiological norms. These mild regional changes are consistent with expected ageing-related variability and do not suggest pathological progression. No widespread progressive atrophy was detected. Conclusions: This study demonstrates delayed, severity-dependent right hippocampal atrophy in recovered COVID-19 patients, suggesting long-term vulnerability of this memory-related region. In contrast, no progression of atrophy in other areas was observed. These findings highlight the need for extended post-COVID neurological monitoring, particularly of hippocampal integrity and its cognitive relevance.
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650 _ 7 |2 Other
|a COVID-19
650 _ 7 |2 Other
|a SARS-CoV-2
650 _ 7 |2 Other
|a artificial intelligence
650 _ 7 |2 Other
|a brain atrophy
650 _ 7 |2 Other
|a hippocampal volume
650 _ 7 |2 Other
|a magnetic resonance imaging
700 1 _ |0 P:(DE-2719)2810687
|a Widmann, Catherine Nichols
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700 1 _ |0 P:(DE-2719)9000373
|a Kindler, Christine
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700 1 _ |0 P:(DE-2719)9001860
|a Haase, Robert
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700 1 _ |0 P:(DE-HGF)0
|a Sauer, Malte
|b 4
700 1 _ |0 P:(DE-2719)2000008
|a Heneka, Michael
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700 1 _ |0 P:(DE-2719)9001861
|a Radbruch, Alexander
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|a Schmeel, Frederic Carsten
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770 _ _ |a Advancing Clinical Diagnosis with Artificial Intelligence: Applications, Challenges, and Future Directions
773 _ _ |0 PERI:(DE-600)2662336-5
|a 10.3390/diagnostics15243244
|g Vol. 15, no. 24, p. 3244 -
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|t Diagnostics
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|y 2025
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