Cargando…
Peritumoral radiomics features on preoperative thin-slice CT images can predict the spread through air spaces of lung adenocarcinoma
The spread through air spaces (STAS) is recognized as a negative prognostic factor in patients with early-stage lung adenocarcinoma. The present study aimed to develop a machine learning model for the prediction of STAS using peritumoral radiomics features extracted from preoperative CT imaging. A t...
Autores principales: | Takehana, Keiichi, Sakamoto, Ryo, Fujimoto, Koji, Matsuo, Yukinori, Nakajima, Naoki, Yoshizawa, Akihiko, Menju, Toshi, Nakamura, Mitsuhiro, Yamada, Ryo, Mizowaki, Takashi, Nakamoto, Yuji |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209514/ https://www.ncbi.nlm.nih.gov/pubmed/35725754 http://dx.doi.org/10.1038/s41598-022-14400-w |
Ejemplares similares
-
Propensity score-based analysis of stereotactic body radiotherapy, lobectomy and sublobar resection for stage I non-small cell lung cancer
por: Kishi, Noriko, et al.
Publicado: (2022) -
Validation of the clinical applicability of knowledge‐based planning models in single‐isocenter volumetric‐modulated arc therapy for multiple brain metastases
por: Kishi, Noriko, et al.
Publicado: (2020) -
Prognostic Significance of Phosphorylated Fyn in Patients with Lung Adenocarcinoma after Lung Resection
por: Nishikawa, Shigeto, et al.
Publicado: (2019) -
Lung fibrogenic microenvironment in mouse reconstitutes human alveolar structure and lung tumor
por: Miyata, Ryo, et al.
Publicado: (2022) -
Radiomics nomograms of tumors and peritumoral regions for the preoperative prediction of spread through air spaces in lung adenocarcinoma
por: Zhuo, Yaoyao, et al.
Publicado: (2020)