Philip De Witt Hamer - CMIC/WEISS joint seminar series
04 March 2020, 1:00 pm–2:00 pm
Philip De Witt Hamer, VU University - a talk as part of the CMIC/WEISS joint seminar series
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cmic-seminars-request@cs.ucl.ac.uk
Location
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90 HH function room90 High Holborn90 High HolbornLONDONWC1V 6LJ
Philip De Witt Hamer,
Neurosurgeon at Amsterdam UMC
Professor of translational neuro-oncology at VU University
Title: “Resection probability maps of glioma’
Abstract:
Gliomas invariably recur and survival is limited. Surgery is image-guided, therefore the accuracy depends mostly on who to treat and where to treat. A standard for quality assessment of treatment decisions is unavailable in neuro-oncological surgery, because brain location is a complicating factor - some brain regions are deemed to be more active than others. In the international PICTURE collaborative we quantitate this clinical decision making with brain maps that capture the distribution of surgical results based on routine MRI scans covering more than 1,000 patients. This new approach serves the quality assessment of yesterday’s therapy to guide tomorrow’s treatment by enabling new preoperative metrics for outcome prediction, by providing postoperative quantitative feedback to the neurosurgeon and by assessing quality assessment of care teams. With this, we hope to unlock knowledge of international expert teams as decision support instrument.
Biosketch:
Philip De Witt Hamer is neurosurgeon at Amsterdam UMC since 2008 and professor of translational neuro-oncology at VU University since 2019. He is an active member of the Dutch Society for Neuro-Oncology, the Dutch Society for Neurosurgery, the Society for Neuro-Oncology and an international fellow of the American Association for Neurosurgery. During fellowships he focussed on functional neuro-oncological surgery by teaming up with Dr Hugues Duffau (CHU Montpellier, France) and Dr Mitchel Berger (UCSF, San Francisco, US). He is PI in several research collaborations including the PICTURE project in an international collaborative on resection probability maps of glioma treatment and machine learning in glioma imaging, the GRIP project on quality survivorship, and the Dutch quality registry collaborative on glioma surgery, and he is clinical director of QuantiVision Institute. His clinical interests involve brain mapping and low-grade glioma surgery. His research interests include brain tumor imaging and glioma outcomes research with over 100 peer-reviewed publications with an h-index of 25 and has received grants of cumulative EUR 4.3M. He reviews for >10 international journals and funders.