Cargando…
Relapse predictability of topological signature on pretreatment planning CT images of stage I non‐small cell lung cancer patients before treatment with stereotactic ablative radiotherapy
BACKGROUND: This study aimed to explore the predictability of topological signatures linked to the locoregional relapse (LRR) and distant metastasis (DM) on pretreatment planning computed tomography images of stage I non‐small cell lung cancer (NSCLC) patients before treatment with stereotactic abla...
Autores principales: | Kodama, Takumi, Arimura, Hidetaka, Shirakawa, Yuko, Ninomiya, Kenta, Yoshitake, Tadamasa, Shioyama, Yoshiyuki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons Australia, Ltd
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346172/ https://www.ncbi.nlm.nih.gov/pubmed/35711108 http://dx.doi.org/10.1111/1759-7714.14483 |
Ejemplares similares
-
Synergistic combination of a topologically invariant imaging signature and a biomarker for the accurate prediction of symptomatic radiation pneumonitis before stereotactic ablative radiotherapy for lung cancer: A retrospective analysis
por: Ninomiya, Kenta, et al.
Publicado: (2022) -
Radiomic prediction of radiation pneumonitis on pretreatment planning computed tomography images prior to lung cancer stereotactic body radiation therapy
por: Hirose, Taka-aki, et al.
Publicado: (2020) -
Automated approach for segmenting gross tumor volumes for lung cancer stereotactic body radiation therapy using CT-based dense V-networks
por: Cui, Yunhao, et al.
Publicado: (2021) -
Observer uncertainties of soft tissue‐based patient positioning in IGRT
por: Hirose, Taka‐aki, et al.
Publicado: (2020) -
Similar-Case-Based Optimization of Beam Arrangements in Stereotactic Body Radiotherapy for Assisting Treatment Planners
por: Magome, Taiki, et al.
Publicado: (2013)