Individualizing glioma radiotherapy planning by optimization of a data and physics-informed discrete loss
Abstract Brain tumor growth is unique to each glioma patient and extends beyond what is visible in imaging scans, infiltrating surrounding brain tissue. Understanding these hidden patient-specific progressions is essential for effective therapies. Current treatment plans for brain tumors, such as ra...
Saved in:
| Main Authors: | Michal Balcerak, Jonas Weidner, Petr Karnakov, Ivan Ezhov, Sergey Litvinov, Petros Koumoutsakos, Tamaz Amiranashvili, Ray Zirui Zhang, John S. Lowengrub, Igor Yakushev, Benedikt Wiestler, Bjoern Menze |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-60366-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Radiotherapy in Brainstem Gliomas
by: J Gordon Millichap
Published: (1990-02-01) -
Case report: an unusual long-term evolution of a diffuse midline glioma, H3K27 altered
by: Michael Griessmair, et al.
Published: (2025-02-01) -
Machine learning and partial differential equations: benchmark, simplify, and discover
by: Petros Koumoutsakos
Published: (2025-01-01) -
Impact of function-guided glioma treatment on oncological outcome in the elderly
by: Carolin Albrecht, et al.
Published: (2024-01-01) -
Evolution of radiotherapy and chemotherapy practice in malignant gliomas
by: Anusheel Munshi, et al.
Published: (2013-05-01)