Nie P - Search Results

1

Development and validation of a CT-based deep learning radiomics signature to predict lymph node metastasis in oropharyngeal squamous cell carcinoma: a multicentre study.

Jiang T, Wang H, Li J, Wang T, Zhan X, Wang J, Wang N, Nie P, Cui S, Zhao X, Hao D. Jiang T, et al. Among authors: nie p. Dentomaxillofac Radiol. 2025 Jan 1;54(1):77-87. doi: 10.1093/dmfr/twae051. Dentomaxillofac Radiol. 2025. PMID: 39271161

2

Radiomics nomogram for differentiating between benign and malignant soft-tissue masses of the extremities.

Wang H, Nie P, Wang Y, Xu W, Duan S, Chen H, Hao D, Liu J. Wang H, et al. Among authors: nie p. J Magn Reson Imaging. 2020 Jan;51(1):155-163. doi: 10.1002/jmri.26818. Epub 2019 Jun 6. J Magn Reson Imaging. 2020. PMID: 31169956

3

A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma.

Nie P, Yang G, Wang Z, Yan L, Miao W, Hao D, Wu J, Zhao Y, Gong A, Cui J, Jia Y, Niu H. Nie P, et al. Eur Radiol. 2020 Feb;30(2):1274-1284. doi: 10.1007/s00330-019-06427-x. Epub 2019 Sep 10. Eur Radiol. 2020. PMID: 31506816

4

CT-Based Radiomics Nomogram: A Potential Tool for Differentiating Hepatocellular Adenoma From Hepatocellular Carcinoma in the Noncirrhotic Liver.

Nie P, Wang N, Pang J, Yang G, Duan S, Chen J, Xu W. Nie P, et al. Acad Radiol. 2021 Jun;28(6):799-807. doi: 10.1016/j.acra.2020.04.027. Epub 2020 May 5. Acad Radiol. 2021. PMID: 32386828

5

Radiomics-based machine-learning method for prediction of distant metastasis from soft-tissue sarcomas.

Tian L, Zhang D, Bao S, Nie P, Hao D, Liu Y, Zhang J, Wang H. Tian L, et al. Among authors: nie p. Clin Radiol. 2021 Feb;76(2):158.e19-158.e25. doi: 10.1016/j.crad.2020.08.038. Epub 2020 Dec 5. Clin Radiol. 2021. PMID: 33293024

6

An MRI-Based Radiomics Nomogram to Assess Recurrence Risk in Sinonasal Malignant Tumors.

Wang T, Hao J, Gao A, Zhang P, Wang H, Nie P, Jiang Y, Bi S, Liu S, Hao D. Wang T, et al. Among authors: nie p. J Magn Reson Imaging. 2023 Aug;58(2):520-531. doi: 10.1002/jmri.28548. Epub 2022 Nov 30. J Magn Reson Imaging. 2023. PMID: 36448476

7

Incremental value of radiomics-based heterogeneity to the existing risk criteria in predicting recurrence of hepatocellular carcinoma after liver transplantation.

Nie P, Zhang J, Miao W, Duan S, Wang T, Zhang J, Gu J, Wang N, Zhang R, Wang X, Yang G, Rao W, Wang Z. Nie P, et al. Eur Radiol. 2023 Sep;33(9):6608-6618. doi: 10.1007/s00330-023-09591-3. Epub 2023 Apr 4. Eur Radiol. 2023. PMID: 37012548

8

A Computed Tomography Radiomics Nomogram in Differentiating Chordoma From Giant Cell Tumor in the Axial Skeleton.

Nie P, Zhao X, Wang N, Ma J, Zuo P, Hao D, Yu T. Nie P, et al. J Comput Assist Tomogr. 2023 May-Jun 01;47(3):453-459. doi: 10.1097/RCT.0000000000001436. Epub 2023 Jan 17. J Comput Assist Tomogr. 2023. PMID: 37185010

9

A CT-based radiomics nomogram for distinguishing between malignant and benign Bosniak IIF masses: a two-centre study.

Wang T, Yang H, Hao D, Nie P, Liu Y, Huang C, Huang Y, Wang H, Niu H. Wang T, et al. Among authors: nie p. Clin Radiol. 2023 Aug;78(8):590-600. doi: 10.1016/j.crad.2023.04.011. Epub 2023 May 12. Clin Radiol. 2023. PMID: 37258333

10

A CT-based deep learning radiomics nomogram outperforms the existing prognostic models for outcome prediction in clear cell renal cell carcinoma: a multicenter study.

Nie P, Yang G, Wang Y, Xu Y, Yan L, Zhang M, Zhao L, Wang N, Zhao X, Li X, Cheng N, Wang Y, Chen C, Wang N, Duan S, Wang X, Wang Z. Nie P, et al. Eur Radiol. 2023 Dec;33(12):8858-8868. doi: 10.1007/s00330-023-09869-6. Epub 2023 Jun 30. Eur Radiol. 2023. PMID: 37389608

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