Xiaosong Du
Shanxi Medical University
7 Papers
34 Citations
Xiaosong Du is an academic researcher from Shanxi Medical University. The author has contributed to research in topics: Hounsfield scale & Renal artery. The author has an hindex of 6, co-authored 7 publications.
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Papers
Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
TL;DR: This study demonstrated that the pre-treatment radiomics nomogram can predict pCR in patients with LARC and potentially guide treatments to select patients for a “wait-and-see” policy.
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Development and validation of a MRI-based radiomics signature for prediction of KRAS mutation in rectal cancer
Yanfen Cui,Huanhuan Liu,Jialiang Ren,Xiaosong Du,Lei Xin,Dandan Li,Xiaotang Yang,Dengbin Wang +7 more
TL;DR: The proposed T2WI-based radiomics signature has a moderate performance to predict KRAS status, and may be useful for supplementing genomic analysis to determine KRAS expression in rectal cancer patients.
110
Prognostic value of multiparametric MRI-based radiomics model: Potential role for chemotherapeutic benefits in locally advanced rectal cancer.
TL;DR: It is demonstrated that the newly developed pretreatment multiparameter MRI-based radiomics model could serve as a powerful predictor of prognosis, and may act as a potential indicator for guiding AC in patients with locally advanced rectal cancer.
38
The initial experience of the upper abdominal CT angiography using low-concentration contrast medium on dual energy spectral CT.
Lei Xin,Xiaotang Yang,Ning Huang,Xiaosong Du,Jianxin Zhang,Yan-yan Wang,Lina Hou,Jinfang Gao +7 more
TL;DR: With 28% contrast medium reduction and reduced radiation dose, CT angiography using spectral imaging and lower concentration contrast agent provided better image quality than conventional CTA.
Radiomics Analysis of Multiparametric MRI for the Preoperative Prediction of Lymph Node Metastasis in Cervical Cancer.
TL;DR: The proposed MRI-based radiomics nomogram has good performance for predicting LN metastasis in cervical cancer and may be useful for improving clinical decision making.