Comparing DSC-CBV, DSC-CBF and ASL for Detecting Residual and Recurrent Glioblastoma with Deep Learning and multishell Diffusion MRI
Motivation: Differentiating recurrent tumor from post-treatment changes is challenging in post-operative glioblastoma MRI. Goal(s): To compare the performance of DSC-CBV, DSC-CBF, and ASL perfusion MRI to differentiate recurrent tumor from treatment-related changes using a Deep Learning segmentation model together with multishell Diffusion MRI. Approach: 138 post-operative scans were manually segmented for enhancing and non-enhancing cellular tumor volume. A Deep Learning segmentation was trained to segment cellular tumor and then tested to differentiate recurring disease from post-treatment changes from the segmentations. Results: DSC-CBV and DSC-CBF improved the detection of residual/recurrent cellular tumor with Deep Learning while ASL perfusion did not. Impact: Our work re-demonstrates the importance of including a DSC perfusion method in clinical brain tumor MRI protocols.
Authors
- Vanessa Goodwill (ORCID: https://orcid.org/0000-0001-7665-7146)
- Divya S. Bolar (ORCID: https://orcid.org/0000-0002-5968-2304)
- Jona A. Hattangadi‐Gluth (ORCID: https://orcid.org/0000-0001-8222-606X)
- George P. Mastorakos (ORCID: https://orcid.org/0000-0002-1929-3275)
- Nathan S. White
- Anders Dale
- Nikdokht Farid (ORCID: https://orcid.org/0000-0002-0876-1934)
- David Piccioni (ORCID: https://orcid.org/0000-0001-6006-0126)
- Santosh Kesari (ORCID: https://orcid.org/0000-0003-3772-6000)
- Carrie R. McDonald (ORCID: https://orcid.org/0000-0002-0721-5640)
- Jessica Schulte (ORCID: https://orcid.org/0000-0002-7135-9200)
- Thorsten Siebert (ORCID: https://orcid.org/0000-0003-2427-9424)
- Jeffrey D. Rudie (ORCID: https://orcid.org/0000-0001-8609-8421)
- Diviya Gupta (ORCID: https://orcid.org/0000-0001-5853-760X)
- L. G. Gagnon (ORCID: https://orcid.org/0000-0003-3000-8479)
- Thomas Beaumont (ORCID: https://orcid.org/0000-0002-1940-1096)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/3845
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00