A probabilistic thermal dose model for the estimation of necrosis in MR-guided tumor ablations.
MR thermometry
MWA
necrosis map
thermal dose model
tumor ablation
Journal
Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746
Informations de publication
Date de publication:
14 Jul 2023
14 Jul 2023
Historique:
revised:
25
04
2023
received:
06
10
2022
accepted:
20
06
2023
medline:
14
7
2023
pubmed:
14
7
2023
entrez:
14
7
2023
Statut:
aheadofprint
Résumé
Monitoring minimally invasive thermo ablation procedures using magnetic resonance (MR) thermometry allows therapy of tumors even close to critical anatomical structures. Unfortunately, intraoperative monitoring remains challenging due to the necessary accuracy and real-time capability. One reason for this is the statistical error introduced by MR measurement, which causes the prediction of ablation zones to become inaccurate. In this work, we derive a probabilistic model for the prediction of ablation zones during thermal ablation procedures based on the thermal damage model CEM The probabilistic CEM The results show a higher accuracy in three out of four data sets, with a relative difference in Sørensen-Dice coefficient from The presented probabilistic thermal dose model might help to prevent false classification of voxels within ablation zones. This could potentially result in an increased success rate for MR-guided thermal ablation procedures. Future work may address additional error sources and a follow-up study in a more realistic clinical context.
Sections du résumé
BACKGROUND
BACKGROUND
Monitoring minimally invasive thermo ablation procedures using magnetic resonance (MR) thermometry allows therapy of tumors even close to critical anatomical structures. Unfortunately, intraoperative monitoring remains challenging due to the necessary accuracy and real-time capability. One reason for this is the statistical error introduced by MR measurement, which causes the prediction of ablation zones to become inaccurate.
PURPOSE
OBJECTIVE
In this work, we derive a probabilistic model for the prediction of ablation zones during thermal ablation procedures based on the thermal damage model CEM
METHODS
METHODS
The probabilistic CEM
RESULTS
RESULTS
The results show a higher accuracy in three out of four data sets, with a relative difference in Sørensen-Dice coefficient from
CONCLUSION
CONCLUSIONS
The presented probabilistic thermal dose model might help to prevent false classification of voxels within ablation zones. This could potentially result in an increased success rate for MR-guided thermal ablation procedures. Future work may address additional error sources and a follow-up study in a more realistic clinical context.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Federal Ministry of Education and Research
ID : 13GW0473B
Organisme : Federal Ministry of Education and Research
ID : 13GW0473A
Organisme : German Research Foundation (DFG)
ID : ME 3696/3- 1
Informations de copyright
© 2023 The Authors. Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine.
Références
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