Predicting response to immunotherapy in oral squamous cell carcinoma via a CT-based radiomics model

The pretreatment CT-based radiomics model showed good performance in predicting response to immunotherapy in OSCC. Pretreatment CT-based radiomics model might provide an alternative approach for the selection of patients who benefit from immunotherapy.

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Publication Details

Journal
BMC Medical Imaging
Published
2024-10-07
DOI
https://doi.org/10.1186/s12880-024-01444-9
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.21

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article

Predicting response to immunotherapy in oral squamous cell carcinoma via a CT-based radiomics model

Jiliang Ren, Ying Yuan, Xiaofeng Tao, Rui Wang et al.
3 citations
BMC Medical Imaging
Radiomics and Machine Learning in Medical Imaging
1.21
article

Predicting response to immunotherapy in oral squamous cell carcinoma via a CT-based radiomics model

Jiliang Ren, Ying Yuan, Xiaofeng Tao, Rui Wang, Qifan Ma
article en
3 citations

Abstract

The pretreatment CT-based radiomics model showed good performance in predicting response to immunotherapy in OSCC. Pretreatment CT-based radiomics model might provide an alternative approach for the selection of patients who benefit from immunotherapy.

BMC Medical ImagingVol. 24(1)
Shanghai Jiao Tong University (CN), Shanghai Ninth People's Hospital (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 20%
Radiomics and Machine Learning in Medical Imaging
1.21
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