mSEPT9 performs better than CEA in NAT response and MRD assessment and recurrence prediction of stage III CRC

mSEPT9 exhibits better applicability than CEA in assessment in terms of patient coverage, sensitivity and the pre-NAT recurrence prediction.

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Publication Details

Journal
Biomarkers in Medicine
Published
2025-04-08
DOI
https://doi.org/10.1080/17520363.2025.2489919
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72
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article

mSEPT9 performs better than CEA in NAT response and MRD assessment and recurrence prediction of stage III CRC

Wenchuan Zhu, Yun Shang, Yunjun Zeng, Jianxun Wang et al.
2 citations
Biomarkers in Medicine
Radiomics and Machine Learning in Medical Imaging
2.72
article

mSEPT9 performs better than CEA in NAT response and MRD assessment and recurrence prediction of stage III CRC

Wenchuan Zhu, Yun Shang, Yunjun Zeng, Jianxun Wang, Jianlin Song, Li Zhang, Jianbiao Xu, Tong‐Min Wang, Xiaochun Yang
article en
2 citations

Abstract

mSEPT9 exhibits better applicability than CEA in assessment in terms of patient coverage, sensitivity and the pre-NAT recurrence prediction.

Biomarkers in MedicineVol. 19(10)
Kunming University of Science and Technology (CN), First People's Hospital of Yunnan Province (CN)
Openalex Percentile: Top 11%
Radiomics and Machine Learning in Medical Imaging
2.72
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