The most common central nervous system tumor types can be segmented pre-operatively: glioblastomas, diffuse lower-grade gliomas, meningiomas, and metastases. Early post-operative segmentation is limited to the glioblastoma subtype.
All models have been trained using patient data from our partnered hospitals, using the AGU-Net architecture (more details available in the Publications section).
Pre-operatively, the standardized reports include the following tumor characteristics, all computed in the MNI reference space: volume, multifocality, laterality, location w.r.t. cortical structures (MNI, Harvard-Oxford, and Schaefer atlases), and location w.r.t. subcortical structures (BCB atlas). The computational pipeline is illustrated to the left.
Post-operatively, the rest tumor volume and extent-of-resection are automatically computed.
Northwest Clinics (Alkmaar), Amsterdam University Medical Centers, University Medical Center Groningen, Medical Center Haaglanden (The Hague), Humanitas Research Hospital (Milano), Hôpital Lariboisière (Paris), University of California San Francisco Medical Center, Medical Center Slotervaart (Amsterdam), St Elisabeth Hospital (Tilburg), University Medical Center Utrecht, Medical University Vienna, Isala hospital (Zwolle), St. Olavs hospital (Trondheim), Sahlgrenska University Hospital (Gothenburg), Brigham and Women's Hospital (Boston), and Oslo University Hospital.
Core participants
Lead developer, maintainer
david.bouget@sintef.no
DevOps engineer
andre.pedersen@sintef.no
Designer
demah.alsinan@sintef.no
Designer
valeria.gaitan@sintef.no
Project manager
ingerid.reinertsen@sintef.no
Neurosurgeon
ole.solheim@ntnu.no
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