intracranial_metastases_surgery

Intracranial metastases surgery

see Intracranial metastases surgery indications.

Intracranial Metastases Surgical Technique.


Automated classification of brain metastases and healthy brain tissue is feasible using optical coherence tomography imaging, extracted texture features, and machine learning with principal component analysis (PCA) and support-vector machines (SVM). The established approach can prospectively provide the surgeon with additional information about the tissue, thus optimizing the extent of tumor resection and minimizing the risk of local recurrences 1).

Wolpert et al. defined risk profiles for the development of BM-related epilepsy and derived a score which might help to estimate the risk of post-operative seizures and identify individuals at risk who might benefit from primary prophylactic antiepileptic drug therapy 2).


1)
Möller J, Bartsch A, Lenz M, Tischoff I, Krug R, Welp H, Hofmann MR, Schmieder K, Miller D. Applying machine learning to optical coherence tomography images for automated tissue classification in brain metastases. Int J Comput Assist Radiol Surg. 2021 May 30. doi: 10.1007/s11548-021-02412-2. Epub ahead of print. PMID: 34053010.
2)
Wolpert F, Lareida A, Terziev R, Grossenbacher B, Neidert MC, Roth P, Poryazova R, Imbach L, Le Rhun E, Weller M. Risk factors for the development of epilepsy in patients with brain metastases. Neuro Oncol. 2019 Sep 10. pii: noz172. doi: 10.1093/neuonc/noz172. [Epub ahead of print] PubMed PMID: 31498867.
  • intracranial_metastases_surgery.txt
  • Last modified: 2022/02/17 13:26
  • by administrador