Cargando…
Cluster-Based Toxicity Estimation of Osteoradionecrosis via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification
PURPOSE: Given the limitations of extant models for normal tissue complication probability estimation for osteoradionecrosis (ORN) of the mandible, the purpose of this study was to enrich statistical inference by exploiting structural properties of data and provide a clinically reliable model for OR...
Autores principales: | Hosseinian, Seyedmohammadhossein, Hemmati, Mehdi, Dede, Cem, Salzillo, Travis C., van Dijk, Lisanne V., Mohamed, Abdallah S. R., Lai, Stephen Y., Schaefer, Andrew J., Fuller, Clifton D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081413/ https://www.ncbi.nlm.nih.gov/pubmed/37034700 http://dx.doi.org/10.1101/2023.03.24.23287710 |
Ejemplares similares
-
Comparison of Machine-Learning and Deep-Learning Methods for the Prediction of Osteoradionecrosis Resulting From Head and Neck Cancer Radiation Therapy
por: Reber, Brandon, et al.
Publicado: (2022) -
Normal Tissue Complication Probability (NTCP) Prediction Model for Osteoradionecrosis of the Mandible in Patients With Head and Neck Cancer After Radiation Therapy: Large-Scale Observational Cohort
por: van Dijk, Lisanne V., et al.
Publicado: (2021) -
MR-Guided Adaptive Radiotherapy for OAR Sparing in Head and Neck Cancers
por: Mulder, Samuel L., et al.
Publicado: (2022) -
Multi-organ spatial stratification of 3-D dose distributions improves risk prediction of long-term self-reported severe symptoms in oropharyngeal cancer patients receiving radiotherapy: development of a pre-treatment decision support tool
por: Wentzel, Andrew, et al.
Publicado: (2023) -
Review of Osteoradionecrosis of the Jaw: Radiotherapy Modality, Technique, and Dose as Risk Factors
por: Topkan, Erkan, et al.
Publicado: (2023)