Shao SH - Search Results

1

Qualitative analysis of contrast-enhanced ultrasound in the diagnosis of small, TR3-5 benign and malignant thyroid nodules measuring ≤1 cm.

Li X, Gao F, Li F, Han XX, Shao SH, Yao MH, Li CX, Zheng J, Wu R, Du LF. Li X, et al. Among authors: shao sh. Br J Radiol. 2020 Jul;93(1111):20190923. doi: 10.1259/bjr.20190923. Epub 2020 Apr 9. Br J Radiol. 2020. PMID: 32242748 Free PMC article.

2

Incorporation of contrast-enhanced ultrasound in the differential diagnosis for breast lesions with inconsistent results on mammography and conventional ultrasound.

Shao SH, Li CX, Yao MH, Li G, Li X, Wu R. Shao SH, et al. Clin Hemorheol Microcirc. 2020;74(4):463-473. doi: 10.3233/CH-190729. Clin Hemorheol Microcirc. 2020. PMID: 31868661

3

Diagnostic efficacy of contrast-enhanced ultrasound for breast lesions of different sizes: a comparative study with magnetic resonance imaging.

Li C, Yao M, Shao S, Li X, Li G, Wu R. Li C, et al. Br J Radiol. 2020 Jun;93(1110):20190932. doi: 10.1259/bjr.20190932. Epub 2020 Apr 7. Br J Radiol. 2020. PMID: 32216631 Free PMC article.

4

Conventional and contrast-enhanced ultrasound features in sclerosing adenosis and correlation with pathology.

Shao S, Yao M, Li X, Li C, Chen J, Li G, Jia C, Wu R. Shao S, et al. Clin Hemorheol Microcirc. 2021;77(2):173-181. doi: 10.3233/CH-200943. Clin Hemorheol Microcirc. 2021. PMID: 32924999

5

The association between conventional ultrasound and contrast-enhanced ultrasound appearances and pathological features in small breast cancer.

Chen J, Li CX, Shao SH, Yao MH, Su YJ, Wu R. Chen J, et al. Among authors: shao sh. Clin Hemorheol Microcirc. 2022;80(4):413-422. doi: 10.3233/CH-211291. Clin Hemorheol Microcirc. 2022. PMID: 34842181

6

Ultrasonic multimodality imaging features and the classification value of nonpuerperal mastitis.

Li C, Yao M, Li X, Shao S, Chen J, Li G, Jia C, Wu R. Li C, et al. J Clin Ultrasound. 2022 Jun;50(5):675-684. doi: 10.1002/jcu.23205. Epub 2022 Apr 27. J Clin Ultrasound. 2022. PMID: 35475482

7

A Convolutional Neural Network Based on Ultrasound Images of Primary Breast Masses: Prediction of Lymph-Node Metastasis in Collaboration With Classification of Benign and Malignant Tumors.

Li C, Guo Y, Jia L, Yao M, Shao S, Chen J, Xu Y, Wu R. Li C, et al. Front Physiol. 2022 Jun 2;13:882648. doi: 10.3389/fphys.2022.882648. eCollection 2022. Front Physiol. 2022. PMID: 35721528 Free PMC article.

8

Preoperative Non-Invasive Prediction of Breast Cancer Molecular Subtypes With a Deep Convolutional Neural Network on Ultrasound Images.

Li C, Huang H, Chen Y, Shao S, Chen J, Wu R, Zhang Q. Li C, et al. Front Oncol. 2022 Jul 18;12:848790. doi: 10.3389/fonc.2022.848790. eCollection 2022. Front Oncol. 2022. PMID: 35924158 Free PMC article.

9

Deep learning radiomics of ultrasonography for differentiating sclerosing adenosis from breast cancer.

Li C, Zhang H, Chen J, Shao S, Li X, Yao M, Zheng Y, Wu R, Shi J. Li C, et al. Clin Hemorheol Microcirc. 2023;84(2):153-163. doi: 10.3233/CH-221608. Clin Hemorheol Microcirc. 2023. PMID: 36373313

10

Multi-parameter ultrasonography-based predictive model for breast cancer diagnosis.

Chen J, Ma J, Li C, Shao S, Su Y, Wu R, Yao M. Chen J, et al. Front Oncol. 2022 Nov 17;12:1027784. doi: 10.3389/fonc.2022.1027784. eCollection 2022. Front Oncol. 2022. PMID: 36465370 Free PMC article.

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