Du S - Search Results

1

Value of integrated PET-IVIM MR in assessing metastases in hypermetabolic pelvic lymph nodes in cervical cancer: a multi-parameter study.

Xu C, Du S, Zhang S, Wang B, Dong C, Sun H. Xu C, et al. Among authors: du s. Eur Radiol. 2020 May;30(5):2483-2492. doi: 10.1007/s00330-019-06611-z. Epub 2020 Feb 10. Eur Radiol. 2020. PMID: 32040728

2

Evaluation of 18F-FDG PET/CT parameters for reflection of aggressiveness and prediction of prognosis in early-stage cervical cancer.

Zhang L, Sun H, Du S, Xu W, Xin J, Guo Q. Zhang L, et al. Among authors: du s. Nucl Med Commun. 2018 Nov;39(11):1045-1052. doi: 10.1097/MNM.0000000000000909. Nucl Med Commun. 2018. PMID: 30204642

3

Relationship between ¹⁸F-FDG PET metabolic parameters and MRI intravoxel incoherent motion (IVIM) histogram parameters and their correlations with clinicopathological features of cervical cancer: evidence from integrated PET/MRI.

Du S, Sun H, Gao S, Xin J, Lu Z, Chen Z, Pan S, Guo Q. Du S, et al. Clin Radiol. 2019 Mar;74(3):178-186. doi: 10.1016/j.crad.2018.11.003. Epub 2018 Dec 10. Clin Radiol. 2019. PMID: 30545566

4

Metabolic parameters with different thresholds for evaluating tumor recurrence and their correlations with hematological parameters in locally advanced squamous cell cervical carcinoma: an observational ¹⁸F-FDG PET/CT study.

Du S, Sun H, Gao S, Xin J, Lu Z. Du S, et al. Quant Imaging Med Surg. 2019 Mar;9(3):440-452. doi: 10.21037/qims.2019.02.09. Quant Imaging Med Surg. 2019. PMID: 31032191 Free PMC article.

5

Early treatment response of patients undergoing concurrent chemoradiotherapy for cervical cancer: An evaluation of integrated multi-parameter PET-IVIM MR.

Xu C, Sun H, Du S, Xin J. Xu C, et al. Among authors: du s. Eur J Radiol. 2019 Aug;117:1-8. doi: 10.1016/j.ejrad.2019.05.012. Epub 2019 May 15. Eur J Radiol. 2019. PMID: 31307633

6

Multiparametric PET/MR (PET and MR-IVIM) for the evaluation of early treatment response and prediction of tumor recurrence in patients with locally advanced cervical cancer.

Gao S, Du S, Lu Z, Xin J, Gao S, Sun H. Gao S, et al. Among authors: du s. Eur Radiol. 2020 Feb;30(2):1191-1201. doi: 10.1007/s00330-019-06428-w. Epub 2019 Sep 6. Eur Radiol. 2020. PMID: 31493211

7

Contrast-free MRI quantitative parameters for early prediction of pathological response to neoadjuvant chemotherapy in breast cancer.

Du S, Gao S, Zhao R, Liu H, Wang Y, Qi X, Li S, Cao J, Zhang L. Du S, et al. Eur Radiol. 2022 Aug;32(8):5759-5772. doi: 10.1007/s00330-022-08667-w. Epub 2022 Mar 10. Eur Radiol. 2022. PMID: 35267091

8

Improved discrimination of molecular subtypes in invasive breast cancer: Comparison of multiple quantitative parameters from breast MRI.

Du S, Gao S, Zhang L, Yang X, Qi X, Li S. Du S, et al. Magn Reson Imaging. 2021 Apr;77:148-158. doi: 10.1016/j.mri.2020.12.001. Epub 2020 Dec 9. Magn Reson Imaging. 2021. PMID: 33309922

9

A delta-radiomic lymph node model using dynamic contrast enhanced MRI for the early prediction of axillary response after neoadjuvant chemotherapy in breast cancer patients.

Liu S, Du S, Gao S, Teng Y, Jin F, Zhang L. Liu S, et al. Among authors: du s. BMC Cancer. 2023 Jan 5;23(1):15. doi: 10.1186/s12885-022-10496-5. BMC Cancer. 2023. PMID: 36604679 Free PMC article.

10

Multiparametric MRI Radiomics for the Identification of HER2-Low Breast Cancers.

Du S, Gao S, Wang M, Zhang L. Du S, et al. Radiology. 2024 Jan;310(1):e232092. doi: 10.1148/radiol.232092. Radiology. 2024. PMID: 38165249 No abstract available.

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