Yao JJ - Search Results

1

Comparison of fine-needle aspiration and fine-needle capillary sampling of thyroid nodules: a prospective study with emphasis on the influence of nodule size.

Zhou JQ, Zhang JW, Zhan WW, Zhou W, Ye TJ, Zhu Y, Yao JJ, Liu J, Hu YY, Grant EG. Zhou JQ, et al. Among authors: yao jj. Cancer Cytopathol. 2014 Apr;122(4):266-73. doi: 10.1002/cncy.21382. Epub 2013 Dec 3. Cancer Cytopathol. 2014. PMID: 24302655 Free article.

2

Sonographic findings of localized Castleman disease of the abdomen and pelvis.

Zhou W, Zhan W, Zhou J, Zhu Y, Yao J. Zhou W, et al. J Clin Ultrasound. 2015 Sep;43(7):401-5. doi: 10.1002/jcu.22245. Epub 2014 Oct 27. J Clin Ultrasound. 2015. PMID: 25346169

3

Sonographic Features of Ductal Carcinoma In Situ of the Breast With Microinvasion: Correlation With Clinicopathologic Findings and Biomarkers.

Yao JJ, Zhan WW, Chen M, Zhang XX, Zhu Y, Fei XC, Chen XS. Yao JJ, et al. J Ultrasound Med. 2015 Oct;34(10):1761-8. doi: 10.7863/ultra.15.14.07059. Epub 2015 Aug 31. J Ultrasound Med. 2015. PMID: 26324758

4

Size and Ultrasound Features Affecting Results of Ultrasound-Guided Fine-Needle Aspiration of Thyroid Nodules.

Dong Y, Mao M, Zhan W, Zhou J, Zhou W, Yao J, Hu Y, Wang Y, Ye T. Dong Y, et al. J Ultrasound Med. 2018 Jun;37(6):1367-1377. doi: 10.1002/jum.14472. Epub 2017 Nov 9. J Ultrasound Med. 2018. PMID: 29120064

5

Clinical characteristics and ultrasonographic features for predicting central lymph node metastasis in clinically node-negative papillary thyroid carcinoma without capsule invasion.

Xu SY, Yao JJ, Zhou W, Chen L, Zhan WW. Xu SY, et al. Among authors: yao jj. Head Neck. 2019 Nov;41(11):3984-3991. doi: 10.1002/hed.25941. Epub 2019 Aug 29. Head Neck. 2019. PMID: 31463972

6

A computer-aided diagnosing system in the evaluation of thyroid nodules-experience in a specialized thyroid center.

Xia S, Yao J, Zhou W, Dong Y, Xu S, Zhou J, Zhan W. Xia S, et al. World J Surg Oncol. 2019 Dec 6;17(1):210. doi: 10.1186/s12957-019-1752-z. World J Surg Oncol. 2019. PMID: 31810469 Free PMC article.

7

Association of sonographic features and molecular subtypes in predicting breast cancer disease outcomes.

Wang H, Yao J, Zhu Y, Zhan W, Chen X, Shen K. Wang H, et al. Cancer Med. 2020 Sep;9(17):6173-6185. doi: 10.1002/cam4.3305. Epub 2020 Jul 13. Cancer Med. 2020. PMID: 32657039 Free PMC article.

8

Machine Learning-Based Breast Tumor Ultrasound Radiomics for Pre-operative Prediction of Axillary Sentinel Lymph Node Metastasis Burden in Early-Stage Invasive Breast Cancer.

Yao J, Zhou W, Xu S, Jia X, Zhou J, Chen X, Zhan W. Yao J, et al. Ultrasound Med Biol. 2024 Feb;50(2):229-236. doi: 10.1016/j.ultrasmedbio.2023.10.004. Epub 2023 Nov 10. Ultrasound Med Biol. 2024. PMID: 37951821 Free article.

9

Predictive nomogram using multimodal ultrasonographic features for axillary lymph node metastasis in early‑stage invasive breast cancer.

Yao J, Zhou W, Zhu Y, Zhou J, Chen X, Zhan W. Yao J, et al. Oncol Lett. 2024 Jan 11;27(3):95. doi: 10.3892/ol.2024.14228. eCollection 2024 Mar. Oncol Lett. 2024. PMID: 38288042 Free PMC article.

10

Predicting central lymph node metastasis in papillary thyroid cancer: A nomogram based on clinical, ultrasound and contrast‑enhanced computed tomography characteristics.

Zhang Q, Xu S, Song Q, Ma Y, Hu Y, Yao J, Zhan W. Zhang Q, et al. Oncol Lett. 2024 Aug 5;28(4):478. doi: 10.3892/ol.2024.14611. eCollection 2024 Oct. Oncol Lett. 2024. PMID: 39161333 Free PMC article.

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