3015 Dot sign on MRI brain- a finding in a status epilepticus patient
were able to identify more resection cavities than Resseg (n=22, 44%, P<0.001) and DeepResection (n=21, 42%, P<0.001).Overall, Epic-CHOP had the highest median DSC (0.69), however, this was only statistically significant compared to DeepResection (P<0.01).For the temporal subgroup, Epic-CHOP performed better than DeepResection (P=0.02), but was not different to ResectVol and Resseg.For the extratemporal subgroup, both Epic-CHOP and ResectVol performed better than Resseg and DeepResection (P<0.01), with no difference between Epic-CHOP and ResectVol.Conclusions Epic-CHOP and ResectVol had high detection rates and accuracy across the cohort.These pipelines could be applied to machine learning studies of outcome prediction to improve efficiency in pre-processing data, however quality control is required.
Authors
- Andrew Swayne (ORCID: https://orcid.org/0000-0002-8041-5593)
- Vinod Rajasingam
- Michael T. Hayes
Institutions
- Mater Adult Hospital (AU)
Publication Details
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1136/bmjno-2024-anzan.43
- Primary Topic
- Neurological and metabolic disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00