Zautomatyzowane wykrywanie stwardnienia hipokampu za pomocą AID-HS wykazuje solidne wyniki w wieloośrodkowych badaniach rezonansu magnetycznego 7T i 3T
Automated hippocampal sclerosis detection, using AID-HS, shows robust performance across multi-centre paired 7T and 3T MRI
W skrócie
[Preprint - wstępne wyniki] Badacze testowali narzędzie AI o nazwie AID-HS, które automatycznie wykrywa stwardnienie hipokampu - zmianę mózgową powodującą oporną na leki epilepsję pasjalną. Narzędzie działało równie dobrze zarówno na bardzo dokładnych badaniach 7T, jak i standardowych 3T, poprawnie identyfikując zmianę u większości pacjentów i unikając fałszywych alarmów u osób zdrowych. Wyniki sugerują, że AID-HS może być przydatnym narzędziem wspomagającym lekarzy w diagnozowaniu chorych, którzy mogliby skorzystać z operacji mózgu.
Oryginalny abstract (angielski)
Background: Hippocampal sclerosis (HS) is a common cause of drug-resistant focal epilepsy (DRFE) and amenable to neurosurgical treatment. Detection relies on MRI but can be challenging. 7 Tesla (T) ultra-high field MRI and automated MRI post-processing tools have independently been shown to improve radiological diagnosis of HS. However, combining these approaches remains underexplored. This study evaluated whether AID-HS, a tool for HS detection developed using 3T MRI, generalises to 7T MRI data. Methods: We collated a dataset of paired 3T and 7T T1-weighted MRI from four epilepsy centres, including 23 patients with HS, 39 healthy controls, and 23 individuals with focal cortical dysplasia as disease controls. Histopathology served as the gold standard for defining HS where available (n=7), otherwise radiological findings (n=16). AID-HS was applied to images acquired at both field strengths, and sensitivity and specificity for detection and lateralisation of HS were compared. Additionally, agreement of hippocampal features across 3T and 7T was evaluated. Results: We found no evidence of a difference in performance of AID-HS between 3T and 7T. Sensitivity for detection of unilateral HS was 63% (12/19) at 3T and 68% (13/19) at 7T (McNemar's exact test p=1.0). Specificity in controls was 97% (60/62) at 3T and 100% (62/62) at 7T (p=0.5). Bilateral HS was correctly flagged in 3 of 4 cases using feature-based criteria, with high specificity in controls. Quantitative hippocampal features showed moderate to good agreement across field strengths (ICC 0.70 to 0.98), with small differences observed for volume and thickness estimates. Conclusion: AID-HS provides robust detection and lateralisation of HS across multiple 7T MRI centres, highlighting its potential to enhance lesion detection. Future work is needed to investigate whether models trained on 7T data can leverage the improved image quality for further gains in HS detection performance.