Radiomic Analysis for Pretreatment Prediction of Recurrence Post-Radiotherapy in Cervical Squamous Cell Carcinoma Cancer

Background: The current study aims to predict the recurrence of cervical cancer patients treated with radiotherapy from radiomics features on pretreatment T1- and T2-weighted MR images. Methods: A total of 89 patients were split into model training (63 patients) and model testing (26 patients). The...

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Detalles Bibliográficos
Autores principales: Kawahara, Daisuke, Nishibuchi, Ikuno, Kawamura, Masashi, Yoshida, Takahito, Koh, Iemasa, Tomono, Katsuyuki, Sekine, Masaki, Takahashi, Haruko, Kikuchi, Yutaka, Kudo, Yoshiki, Nagata, Yasushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600567/
https://www.ncbi.nlm.nih.gov/pubmed/36292034
http://dx.doi.org/10.3390/diagnostics12102346

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600567/
https://www.ncbi.nlm.nih.gov/pubmed/36292034
http://dx.doi.org/10.3390/diagnostics12102346

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