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Items: 1 to 20 of 131

1.

Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma.

Lu W, Zhong L, Dong D, Fang M, Dai Q, Leng S, Zhang L, Sun W, Tian J, Zheng J, Jin Y.

Eur J Radiol. 2019 Sep;118:231-238. doi: 10.1016/j.ejrad.2019.07.018. Epub 2019 Jul 19.

PMID:
31439247
2.

Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer.

Han L, Zhu Y, Liu Z, Yu T, He C, Jiang W, Kan Y, Dong D, Tian J, Luo Y.

Eur Radiol. 2019 Jul;29(7):3820-3829. doi: 10.1007/s00330-018-5981-2. Epub 2019 Jan 30.

PMID:
30701328
3.

Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?

Wang X, Zhao X, Li Q, Xia W, Peng Z, Zhang R, Li Q, Jian J, Wang W, Tang Y, Liu S, Gao X.

Eur Radiol. 2019 Mar 18. doi: 10.1007/s00330-019-06084-0. [Epub ahead of print]

PMID:
30887209
4.

Computed Tomography Radiomic Nomogram for Preoperative Prediction of Extrathyroidal Extension in Papillary Thyroid Carcinoma.

Chen B, Zhong L, Dong D, Zheng J, Fang M, Yu C, Dai Q, Zhang L, Tian J, Lu W, Jin Y.

Front Oncol. 2019 Sep 4;9:829. doi: 10.3389/fonc.2019.00829. eCollection 2019.

5.

Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer.

Huang YQ, Liang CH, He L, Tian J, Liang CS, Chen X, Ma ZL, Liu ZY.

J Clin Oncol. 2016 Jun 20;34(18):2157-64. doi: 10.1200/JCO.2015.65.9128. Epub 2016 May 2. Erratum in: J Clin Oncol. 2016 Jul 10;34(20):2436.

PMID:
27138577
6.

Radiomics Signature on Computed Tomography Imaging: Association With Lymph Node Metastasis in Patients With Gastric Cancer.

Jiang Y, Wang W, Chen C, Zhang X, Zha X, Lv W, Xie J, Huang W, Sun Z, Hu Y, Yu J, Li T, Zhou Z, Xu Y, Li G.

Front Oncol. 2019 Apr 26;9:340. doi: 10.3389/fonc.2019.00340. eCollection 2019.

7.

The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer.

Qu J, Shen C, Qin J, Wang Z, Liu Z, Guo J, Zhang H, Gao P, Bei T, Wang Y, Liu H, Kamel IR, Tian J, Li H.

Eur Radiol. 2019 Feb;29(2):906-914. doi: 10.1007/s00330-018-5583-z. Epub 2018 Jul 23.

PMID:
30039220
8.

Radiomic signature as a predictive factor for lymph node metastasis in early-stage cervical cancer.

Kan Y, Dong D, Zhang Y, Jiang W, Zhao N, Han L, Fang M, Zang Y, Hu C, Tian J, Li C, Luo Y.

J Magn Reson Imaging. 2019 Jan;49(1):304-310. doi: 10.1002/jmri.26209. Epub 2018 Aug 13.

PMID:
30102438
9.

Development and Validation of an MRI-Based Radiomics Signature for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer.

Wu S, Zheng J, Li Y, Wu Z, Shi S, Huang M, Yu H, Dong W, Huang J, Lin T.

EBioMedicine. 2018 Aug;34:76-84. doi: 10.1016/j.ebiom.2018.07.029. Epub 2018 Aug 2.

10.

CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study.

Gu D, Hu Y, Ding H, Wei J, Chen K, Liu H, Zeng M, Tian J.

Eur Radiol. 2019 Jun 21. doi: 10.1007/s00330-019-06176-x. [Epub ahead of print]

PMID:
31227882
11.

A radiomics approach to predict lymph node metastasis and clinical outcome of intrahepatic cholangiocarcinoma.

Ji GW, Zhu FP, Zhang YD, Liu XS, Wu FY, Wang K, Xia YX, Zhang YD, Jiang WJ, Li XC, Wang XH.

Eur Radiol. 2019 Jul;29(7):3725-3735. doi: 10.1007/s00330-019-06142-7. Epub 2019 Mar 26.

PMID:
30915561
12.

Building CT Radiomics Based Nomogram for Preoperative Esophageal Cancer Patients Lymph Node Metastasis Prediction.

Shen C, Liu Z, Wang Z, Guo J, Zhang H, Wang Y, Qin J, Li H, Fang M, Tang Z, Li Y, Qu J, Tian J.

Transl Oncol. 2018 Jun;11(3):815-824. doi: 10.1016/j.tranon.2018.04.005. Epub 2018 May 1.

13.

A radiomics approach based on support vector machine using MR images for preoperative lymph node status evaluation in intrahepatic cholangiocarcinoma.

Xu L, Yang P, Liang W, Liu W, Wang W, Luo C, Wang J, Peng Z, Xing L, Huang M, Zheng S, Niu T.

Theranostics. 2019 Jul 9;9(18):5374-5385. doi: 10.7150/thno.34149. eCollection 2019.

14.

A Radiomics Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer.

Wu S, Zheng J, Li Y, Yu H, Shi S, Xie W, Liu H, Su Y, Huang J, Lin T.

Clin Cancer Res. 2017 Nov 15;23(22):6904-6911. doi: 10.1158/1078-0432.CCR-17-1510. Epub 2017 Sep 5.

15.

Biliary Tract Cancer at CT: A Radiomics-based Model to Predict Lymph Node Metastasis and Survival Outcomes.

Ji GW, Zhang YD, Zhang H, Zhu FP, Wang K, Xia YX, Zhang YD, Jiang WJ, Li XC, Wang XH.

Radiology. 2019 Jan;290(1):90-98. doi: 10.1148/radiol.2018181408. Epub 2018 Oct 16.

PMID:
30325283
16.

Radiomics nomogram outperforms size criteria in discriminating lymph node metastasis in resectable esophageal squamous cell carcinoma.

Tan X, Ma Z, Yan L, Ye W, Liu Z, Liang C.

Eur Radiol. 2019 Jan;29(1):392-400. doi: 10.1007/s00330-018-5581-1. Epub 2018 Jun 19.

PMID:
29922924
17.

Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics nomogram developed based on T2-weighted MRI and diffusion-weighted imaging.

Wang T, Gao T, Yang J, Yan X, Wang Y, Zhou X, Tian J, Huang L, Zhang M.

Eur J Radiol. 2019 May;114:128-135. doi: 10.1016/j.ejrad.2019.01.003. Epub 2019 Mar 20.

PMID:
31005162
18.

A new approach to predict lymph node metastasis in solid lung adenocarcinoma: a radiomics nomogram.

Yang X, Pan X, Liu H, Gao D, He J, Liang W, Guan Y.

J Thorac Dis. 2018 Apr;10(Suppl 7):S807-S819. doi: 10.21037/jtd.2018.03.126.

19.

MRI-based radiomic signature as predictive marker for patients with head and neck squamous cell carcinoma.

Yuan Y, Ren J, Shi Y, Tao X.

Eur J Radiol. 2019 Aug;117:193-198. doi: 10.1016/j.ejrad.2019.06.019. Epub 2019 Jun 25.

PMID:
31307647
20.

Preoperative radiomic signature based on multiparametric magnetic resonance imaging for noninvasive evaluation of biological characteristics in rectal cancer.

Meng X, Xia W, Xie P, Zhang R, Li W, Wang M, Xiong F, Liu Y, Fan X, Xie Y, Wan X, Zhu K, Shan H, Wang L, Gao X.

Eur Radiol. 2019 Jun;29(6):3200-3209. doi: 10.1007/s00330-018-5763-x. Epub 2018 Nov 9.

PMID:
30413959

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