Gao S - Search Results

1

A model based on CT radiomic features for predicting RT-PCR becoming negative in coronavirus disease 2019 (COVID-19) patients.

Cai Q, Du SY, Gao S, Huang GL, Zhang Z, Li S, Wang X, Li PL, Lv P, Hou G, Zhang LN. Cai Q, et al. Among authors: gao s. BMC Med Imaging. 2020 Oct 20;20(1):118. doi: 10.1186/s12880-020-00521-z. BMC Med Imaging. 2020. PMID: 33081700 Free PMC article.

2

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. Among authors: gao s. 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.

3

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. Eur Radiol. 2020 Feb;30(2):1191-1201. doi: 10.1007/s00330-019-06428-w. Epub 2019 Sep 6. Eur Radiol. 2020. PMID: 31493211

4

Chest lesion CT radiological features and quantitative analysis in RT-PCR turned negative and clinical symptoms resolved COVID-19 patients.

Du S, Gao S, Huang G, Li S, Chong W, Jia Z, Hou G, Wáng YXJ, Zhang L. Du S, et al. Among authors: gao s. Quant Imaging Med Surg. 2020 Jun;10(6):1307-1317. doi: 10.21037/qims-20-531. Quant Imaging Med Surg. 2020. PMID: 32550139 Free PMC article.

5

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. Among authors: gao s. 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

6

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. Among authors: gao s. Eur Radiol. 2022 Aug;32(8):5759-5772. doi: 10.1007/s00330-022-08667-w. Epub 2022 Mar 10. Eur Radiol. 2022. PMID: 35267091

7

Delta-Radiomics Based on Dynamic Contrast-Enhanced MRI Predicts Pathologic Complete Response in Breast Cancer Patients Treated with Neoadjuvant Chemotherapy.

Guo L, Du S, Gao S, Zhao R, Huang G, Jin F, Teng Y, Zhang L. Guo L, et al. Among authors: gao s. Cancers (Basel). 2022 Jul 20;14(14):3515. doi: 10.3390/cancers14143515. Cancers (Basel). 2022. PMID: 35884576 Free PMC article.

8

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: gao s. BMC Cancer. 2023 Jan 5;23(1):15. doi: 10.1186/s12885-022-10496-5. BMC Cancer. 2023. PMID: 36604679 Free PMC article.

9

Time Course Changes of Synthetic Relaxation Time During Neoadjuvant Chemotherapy in Breast Cancer: The Optimal Parameter for Treatment Response Evaluation.

Zhao R, Du S, Gao S, Shi J, Zhang L. Zhao R, et al. Among authors: gao s. J Magn Reson Imaging. 2023 Oct;58(4):1290-1302. doi: 10.1002/jmri.28597. Epub 2023 Jan 9. J Magn Reson Imaging. 2023. PMID: 36621982

10

Potential Antihuman Epidermal Growth Factor Receptor 2 Target Therapy Beneficiaries: The Role of MRI-Based Radiomics in Distinguishing Human Epidermal Growth Factor Receptor 2-Low Status of Breast Cancer.

Bian X, Du S, Yue Z, Gao S, Zhao R, Huang G, Guo L, Peng C, Zhang L. Bian X, et al. Among authors: gao s. J Magn Reson Imaging. 2023 Nov;58(5):1603-1614. doi: 10.1002/jmri.28628. Epub 2023 Feb 10. J Magn Reson Imaging. 2023. PMID: 36763035

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