CT-based delta-radiomics for predicting pathological response to neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma: a multicenter study

The delta-radiomics model exhibited better diagnostic performance in preoperative prediction of pCR for NICT in ESCC patients compared to the clinical, pre-treatment radiomics, and mixed models.

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Publication Details

Journal
BMC Medical Imaging
Published
2024-12-03
DOI
https://doi.org/10.1186/s12880-024-01503-1
Citations
4
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.62

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article

CT-based delta-radiomics for predicting pathological response to neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma: a multicenter study

Jin Gu, Hanting Li, Leqing Chen, Yuting Zheng et al.
4 citations
BMC Medical Imaging
Radiomics and Machine Learning in Medical Imaging
1.62
article

CT-based delta-radiomics for predicting pathological response to neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma: a multicenter study

Jin Gu, Hanting Li, Leqing Chen, Yuting Zheng, Kailu Zhang, Heshui Shi, Wenjian Yao, Chengyu Ding, Peiyuan Mei, Yongde Liao, Chi Zhang, Yumin Li, Tingting Guo, Li Wei, Mingliang Wang, Xiaoyu Han, Qinyue Luo
article en
4 citations

Abstract

The delta-radiomics model exhibited better diagnostic performance in preoperative prediction of pCR for NICT in ESCC patients compared to the clinical, pre-treatment radiomics, and mixed models.

BMC Medical ImagingVol. 24(1)
Union Hospital (HK), Henan University (CN), Jianghan University (CN), Zhengzhou University (CN), State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN), Wuhan Union Hospital (CN), Henan Provincial People's Hospital (CN), Bayer (China) (CN), Huangshi Central Hospital (CN), Union Hospital (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 15%
Radiomics and Machine Learning in Medical Imaging
1.62
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