Pang PP - Search Results

1

Predicting Chronic Myocardial Ischemia Using CCTA-Based Radiomics Machine Learning Nomogram.

Shu ZY, Cui SJ, Zhang YQ, Xu YY, Hung SC, Fu LP, Pang PP, Gong XY, Jin QY. Shu ZY, et al. Among authors: pang pp. J Nucl Cardiol. 2022 Feb;29(1):262-274. doi: 10.1007/s12350-020-02204-2. Epub 2020 Jun 18. J Nucl Cardiol. 2022. PMID: 32557238 Clinical Trial.

2

Use of a Radiomics Model to Predict Tumor Invasiveness of Pulmonary Adenocarcinomas Appearing as Pulmonary Ground-Glass Nodules.

Xue X, Yang Y, Huang Q, Cui F, Lian Y, Zhang S, Yao L, Peng W, Li X, Pang P, Yan J, Chen F. Xue X, et al. Biomed Res Int. 2018 Jun 13;2018:6803971. doi: 10.1155/2018/6803971. eCollection 2018. Biomed Res Int. 2018. PMID: 30009172 Free PMC article.

3

[Application value of texture analysis of magnetic resonance images in prediction of neoadjuvant chemoradiotherapy efficacy for rectal cancer].

Shu Z, Fang S, Ding Z, Mao D, Pang P, Gong X. Shu Z, et al. Zhonghua Wei Chang Wai Ke Za Zhi. 2018 Sep 25;21(9):1051-1058. Zhonghua Wei Chang Wai Ke Za Zhi. 2018. PMID: 30269327 Chinese.

4

Predicting the Development of Normal-Appearing White Matter With Radiomics in the Aging Brain: A Longitudinal Clinical Study.

Shao Y, Chen Z, Ming S, Ye Q, Shu Z, Gong C, Pang P, Gong X. Shao Y, et al. Front Aging Neurosci. 2018 Nov 28;10:393. doi: 10.3389/fnagi.2018.00393. eCollection 2018. Front Aging Neurosci. 2018. PMID: 30546304 Free PMC article.

5

MRI-based Radiomics nomogram to detect primary rectal cancer with synchronous liver metastases.

Shu Z, Fang S, Ding Z, Mao D, Cai R, Chen Y, Pang P, Gong X. Shu Z, et al. Sci Rep. 2019 Mar 4;9(1):3374. doi: 10.1038/s41598-019-39651-y. Sci Rep. 2019. PMID: 30833648 Free PMC article.

6

Prediction of efficacy of neoadjuvant chemoradiotherapy for rectal cancer: the value of texture analysis of magnetic resonance images.

Shu Z, Fang S, Ye Q, Mao D, Cao H, Pang P, Gong X. Shu Z, et al. Abdom Radiol (NY). 2019 Nov;44(11):3775-3784. doi: 10.1007/s00261-019-01971-y. Abdom Radiol (NY). 2019. PMID: 30852633

7

Radiomics nomogram based on MRI for predicting white matter hyperintensity progression in elderly adults.

Shu ZY, Shao Y, Xu YY, Ye Q, Cui SJ, Mao DW, Pang PP, Gong XY. Shu ZY, et al. Among authors: pang pp. J Magn Reson Imaging. 2020 Feb;51(2):535-546. doi: 10.1002/jmri.26813. Epub 2019 Jun 11. J Magn Reson Imaging. 2020. PMID: 31187560

8

Can texture features improve the differentiation of infiltrative lung adenocarcinoma appearing as ground glass nodules in contrast-enhanced CT?

Gao C, Xiang P, Ye J, Pang P, Wang S, Xu M. Gao C, et al. Eur J Radiol. 2019 Aug;117:126-131. doi: 10.1016/j.ejrad.2019.06.010. Epub 2019 Jun 12. Eur J Radiol. 2019. PMID: 31307637

9

A radiomics model for determining the invasiveness of solitary pulmonary nodules that manifest as part-solid nodules.

Weng Q, Zhou L, Wang H, Hui J, Chen M, Pang P, Zheng L, Xu M, Wang Z, Ji J. Weng Q, et al. Clin Radiol. 2019 Dec;74(12):933-943. doi: 10.1016/j.crad.2019.07.026. Epub 2019 Sep 11. Clin Radiol. 2019. PMID: 31521324 Free article.

10

Development of a Novel Multiparametric MRI Radiomic Nomogram for Preoperative Evaluation of Early Recurrence in Resectable Pancreatic Cancer.

Tang TY, Li X, Zhang Q, Guo CX, Zhang XZ, Lao MY, Shen YN, Xiao WB, Ying SH, Sun K, Yu RS, Gao SL, Que RS, Chen W, Huang DB, Pang PP, Bai XL, Liang TB. Tang TY, et al. Among authors: pang pp. J Magn Reson Imaging. 2020 Jul;52(1):231-245. doi: 10.1002/jmri.27024. Epub 2019 Dec 23. J Magn Reson Imaging. 2020. PMID: 31867839 Free PMC article.

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