Multimodal MRI-based deep-radiomics model predicts response in cervical cancer treated with neoadjuv...
Multimodal MRI-based deep-radiomics model predicts response in cervical cancer treated with neoadjuvant chemoradiotherapy
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Author / Creator
Cai, Zhihua , Li, Sang , Xiong, Zhuang , Lin, Jie and Sun, Yang
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Platinum-based neoadjuvant chemotherapy (NACT) followed by radical hysterectomy has been proposed as an alternative treatment approach for cervical cancer (CC) in stage Ib2-IIb, who had a strong desire to be treated with surgery. Our study aims to develop a model based on multimodal MRI by using radiomics and deep learning to predict the treatment...
Alternative Titles
Full title
Multimodal MRI-based deep-radiomics model predicts response in cervical cancer treated with neoadjuvant chemoradiotherapy
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_147957a06140428d85da69cd090de860
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_147957a06140428d85da69cd090de860
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-70055-9
