Radiomics nomogram combined with clinical factors for predicting pathological complete response in resectable esophageal squamous cell carcinoma
The nomogram, which integrates Rad-score and clinical features, offers a precise and reliable method for predicting pCR status in ESCC patients who have undergone neoadjuvant immunochemotherapy. This tool aids in tailoring treatment strategies to individual patients.
Authors
- Xinyu Jia (ORCID: https://orcid.org/0000-0002-6503-5568)
- Chun Xu (ORCID: https://orcid.org/0000-0001-8312-2481)
- Yonghao Cao (ORCID: https://orcid.org/0000-0002-1350-7316)
- Yongsen Li
- Zihao Lu (ORCID: https://orcid.org/0000-0002-6500-6732)
- Jun Zhao (ORCID: https://orcid.org/0000-0002-3539-2249)
- Xin Lv
- Shiyu Shen
- Wenxuan Hu (ORCID: https://orcid.org/0009-0005-8573-0663)
Institutions
- Soochow University (CN)
- First Affiliated Hospital of Soochow University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-10-31
- DOI
- https://doi.org/10.3389/fonc.2024.1347650
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Soochow University