Zhou P - Search Results

1

A Dual-Energy CT Radiomics of the Regional Largest Short-Axis Lymph Node Can Improve the Prediction of Lymph Node Metastasis in Patients With Rectal Cancer.

Wang D, Zhuang Z, Wu S, Chen J, Fan X, Liu M, Zhu H, Wang M, Zou J, Zhou Q, Zhou P, Xue J, Meng X, Ju S, Zhang L. Wang D, et al. Among authors: zhou p, zhou q. Front Oncol. 2022 Jun 7;12:846840. doi: 10.3389/fonc.2022.846840. eCollection 2022. Front Oncol. 2022. PMID: 35747803 Free PMC article.

2

Comparison of Radiomic Models Based on Low-Dose and Standard-Dose CT for Prediction of Adenocarcinomas and Benign Lesions in Solid Pulmonary Nodules.

Liu J, Xu H, Qing H, Li Y, Yang X, He C, Ren J, Zhou P. Liu J, et al. Among authors: zhou p. Front Oncol. 2021 Feb 2;10:634298. doi: 10.3389/fonc.2020.634298. eCollection 2020. Front Oncol. 2021. PMID: 33604303 Free PMC article.

3

Development and Internal Validation of a Preoperative Prediction Model for Sentinel Lymph Node Status in Breast Cancer: Combining Radiomics Signature and Clinical Factors.

Wang C, Chen X, Luo H, Liu Y, Meng R, Wang M, Liu S, Xu G, Ren J, Zhou P. Wang C, et al. Among authors: zhou p. Front Oncol. 2021 Nov 8;11:754843. doi: 10.3389/fonc.2021.754843. eCollection 2021. Front Oncol. 2021. PMID: 34820327 Free PMC article.

4

Radiomics Analysis on Digital Breast Tomosynthesis: Preoperative Evaluation of Lymphovascular Invasion Status in Invasive Breast Cancer.

Wang D, Liu M, Zhuang Z, Wu S, Zhou P, Chen X, Zhu H, Liu H, Zhang L. Wang D, et al. Among authors: zhou p. Acad Radiol. 2022 Dec;29(12):1773-1782. doi: 10.1016/j.acra.2022.03.011. Epub 2022 Apr 8. Acad Radiol. 2022. PMID: 35400556

5

Quantitative parameters of enhanced dual-energy computed tomography for differentiating lung cancers from benign lesions in solid pulmonary nodules.

He C, Liu J, Li Y, Lin L, Qing H, Guo L, Hu S, Zhou P. He C, et al. Among authors: zhou p. Front Oncol. 2022 Oct 6;12:1027985. doi: 10.3389/fonc.2022.1027985. eCollection 2022. Front Oncol. 2022. PMID: 36276069 Free PMC article.

6

Integration of MRI-Based Radiomics Features, Clinicopathological Characteristics, and Blood Parameters: A Nomogram Model for Predicting Clinical Outcome in Nasopharyngeal Carcinoma.

Fang ZY, Li KZ, Yang M, Che YR, Luo LP, Wu ZF, Gao MQ, Wu C, Luo C, Lai X, Zhang YY, Wang M, Xu Z, Li SM, Liu JK, Zhou P, Wang WD. Fang ZY, et al. Among authors: zhou p. Front Oncol. 2022 Mar 2;12:815952. doi: 10.3389/fonc.2022.815952. eCollection 2022. Front Oncol. 2022. PMID: 35311119 Free PMC article.

7

MRI-based radiomics as response predictor to radiochemotherapy for metastatic cervical lymph node in nasopharyngeal carcinoma.

Xu H, Liu J, Huang Y, Zhou P, Ren J. Xu H, et al. Among authors: zhou p. Br J Radiol. 2021 Jun 1;94(1122):20201212. doi: 10.1259/bjr.20201212. Epub 2021 Apr 21. Br J Radiol. 2021. PMID: 33882240 Free PMC article.

8

Prediction of invasive adenocarcinomas manifesting as pure ground-glass nodules based on radiomic signature of low-dose CT in lung cancer screening.

Li Y, Liu J, Yang X, Xu H, Qing H, Ren J, Zhou P. Li Y, et al. Among authors: zhou p. Br J Radiol. 2022 May 1;95(1133):20211048. doi: 10.1259/bjr.20211048. Epub 2022 Jan 20. Br J Radiol. 2022. PMID: 34995082 Free PMC article.

9

Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer.

Xu H, Liu J, Chen Z, Wang C, Liu Y, Wang M, Zhou P, Luo H, Ren J. Xu H, et al. Among authors: zhou p. Eur Radiol. 2022 Jul;32(7):4845-4856. doi: 10.1007/s00330-022-08539-3. Epub 2022 Jan 25. Eur Radiol. 2022. PMID: 35079887

10

Regional Spontaneous Neural Activity Alterations in Type 2 Diabetes Mellitus: A Meta-Analysis of Resting-State Functional MRI Studies.

Liu J, Li Y, Yang X, Xu H, Ren J, Zhou P. Liu J, et al. Among authors: zhou p. Front Aging Neurosci. 2021 Jun 17;13:678359. doi: 10.3389/fnagi.2021.678359. eCollection 2021. Front Aging Neurosci. 2021. PMID: 34220486 Free PMC article.

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