Li CX - Search Results

1

Ultrasonographic evaluation of the rete testis thickness: a promising approach to differentiate obstructive from nonobstructive azoospermia.

Li X, Tian RH, Li P, Li CX, Yao MH, Yao CC, Wang XB, Jiang LR, Li Z, Wu R. Li X, et al. Among authors: li z, li cx, li p. Asian J Androl. 2023 Nov 1;25(6):725-730. doi: 10.4103/aja20234. Epub 2023 Apr 7. Asian J Androl. 2023. PMID: 37040217 Free PMC article.

2

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.

3

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: li f, li cx. 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.

4

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

5

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.

6

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. Among authors: li g, li x, li cx. Clin Hemorheol Microcirc. 2020;74(4):463-473. doi: 10.3233/CH-190729. Clin Hemorheol Microcirc. 2020. PMID: 31868661

7

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

8

Predictive value of contrast-enhanced ultrasound combined with conventional ultrasound in solid renal parenchymal lesions.

Cai Y, Li F, Li Z, Li X, Li C, Xia Z, Du L, Wu R. Cai Y, et al. Br J Radiol. 2021 Sep 1;94(1125):20210518. doi: 10.1259/bjr.20210518. Epub 2021 Jul 28. Br J Radiol. 2021. PMID: 34319793 Free PMC article.

9

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: li cx. Clin Hemorheol Microcirc. 2022;80(4):413-422. doi: 10.3233/CH-211291. Clin Hemorheol Microcirc. 2022. PMID: 34842181

10

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.

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