Integrative Analysis of 18F-FDG PET Radiomics and mRNA Expression in Recurrent/Metastatic Oral Squamous Cell Carcinoma: A Cross-Sectional Study

Integrating ASB2 expression data with <sup>18</sup>F-FDG PET texture features could potentially improve the prediction of treatment outcomes in treatment-resistant OSCC patients undergoing molecular-targeted therapy.

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Publication Details

Journal
Molecular Imaging and Biology
Published
2025-05-14
DOI
https://doi.org/10.1007/s11307-025-02012-5
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36

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article

Integrative Analysis of 18F-FDG PET Radiomics and mRNA Expression in Recurrent/Metastatic Oral Squamous Cell Carcinoma: A Cross-Sectional Study

Mai Kim, Keisuke Suzuki, Masaru Ogawa, Wenchao Gu et al.
1 citations
Molecular Imaging and Biology
Radiomics and Machine Learning in Medical Imaging
1.36
article

Integrative Analysis of 18F-FDG PET Radiomics and mRNA Expression in Recurrent/Metastatic Oral Squamous Cell Carcinoma: A Cross-Sectional Study

Mai Kim, Keisuke Suzuki, Masaru Ogawa, Wenchao Gu, Takahito Nakajima, Satoshi Yokoo, Shinichiro Kina, Yoshito Tsushima, Reika Iwakawa, Tetsuya Higuchi
article en
1 citations

Abstract

Integrating ASB2 expression data with <sup>18</sup>F-FDG PET texture features could potentially improve the prediction of treatment outcomes in treatment-resistant OSCC patients undergoing molecular-targeted therapy.

Molecular Imaging and BiologyVol. 27(3)
University of Tsukuba (JP), Chiba University (JP), Gunma University (JP), University of the Ryukyus (JP), University of Tsukuba Hospital (JP)
Ministry of Education, Culture, Sports, Science and Technology, Japan Society for the Promotion of Science
Good health and well-being
Openalex Percentile: Top 20%
Radiomics and Machine Learning in Medical Imaging
1.36
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Integrative Analysis of 18F-FDG PET Radiomics and mRNA Expression in Recurrent/Metastatic Oral Squamous Cell Carcinoma: A Cross-Sectional Study — Mai Kim, Keisuke Suzuki, et al. · Molecular Imaging and Biology (2025) | TGRS Research Map | TGRS