Similar articles for PMID: 33262942

Year	Number of Results
2016	1
2018	3
2019	10
2020	38
2021	64
2022	83
2023	34
2024	0

1

Value of ¹⁸F-FDG PET/CT-Based Radiomics Nomogram to Predict Survival Outcomes and Guide Personalized Targeted Therapy in Lung Adenocarcinoma With EGFR Mutations.

Yang B, Ji H, Zhong J, Ma L, Zhong J, Dong H, Zhou C, Duan S, Zhu C, Tian J, Zhang L, Wang F, Zhu H, Lu G. Yang B, et al. Front Oncol. 2020 Nov 11;10:567160. doi: 10.3389/fonc.2020.567160. eCollection 2020. Front Oncol. 2020. PMID: 33262942 Free PMC article.

2

Development and Validation of a Radiomics Nomogram Based on ¹⁸F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography and Clinicopathological Factors to Predict the Survival Outcomes of Patients With Non-Small Cell Lung Cancer.

Yang B, Zhong J, Zhong J, Ma L, Li A, Ji H, Zhou C, Duan S, Wang Q, Zhu C, Tian J, Zhang L, Wang F, Zhu H, Lu G. Yang B, et al. Front Oncol. 2020 Jul 17;10:1042. doi: 10.3389/fonc.2020.01042. eCollection 2020. Front Oncol. 2020. PMID: 32766134 Free PMC article.

3

PET/CT Radiomic Features: A Potential Biomarker for EGFR Mutation Status and Survival Outcome Prediction in NSCLC Patients Treated With TKIs.

Yang L, Xu P, Li M, Wang M, Peng M, Zhang Y, Wu T, Chu W, Wang K, Meng H, Zhang L. Yang L, et al. Front Oncol. 2022 Jun 21;12:894323. doi: 10.3389/fonc.2022.894323. eCollection 2022. Front Oncol. 2022. PMID: 35800046 Free PMC article.

4

Value of pre-therapy ¹⁸F-FDG PET/CT radiomics in predicting EGFR mutation status in patients with non-small cell lung cancer.

Zhang J, Zhao X, Zhao Y, Zhang J, Zhang Z, Wang J, Wang Y, Dai M, Han J. Zhang J, et al. Eur J Nucl Med Mol Imaging. 2020 May;47(5):1137-1146. doi: 10.1007/s00259-019-04592-1. Epub 2019 Nov 14. Eur J Nucl Med Mol Imaging. 2020. PMID: 31728587

5

Can CT Radiomics Detect Acquired T790M Mutation and Predict Prognosis in Advanced Lung Adenocarcinoma With Progression After First- or Second-Generation EGFR TKIs?

Yang X, Fang C, Li C, Gong M, Yi X, Lin H, Li K, Yu X. Yang X, et al. Front Oncol. 2022 Jul 6;12:904983. doi: 10.3389/fonc.2022.904983. eCollection 2022. Front Oncol. 2022. PMID: 35875167 Free PMC article.

6

¹⁸F-FDG PET/CT-based radiomics nomogram for the preoperative prediction of lymph node metastasis in gastric cancer.

Xue XQ, Yu WJ, Shi X, Shao XL, Wang YT. Xue XQ, et al. Front Oncol. 2022 Aug 8;12:911168. doi: 10.3389/fonc.2022.911168. eCollection 2022. Front Oncol. 2022. PMID: 36003788 Free PMC article.

7

Machine learning based on clinico-biological features integrated ¹⁸F-FDG PET/CT radiomics for distinguishing squamous cell carcinoma from adenocarcinoma of lung.

Ren C, Zhang J, Qi M, Zhang J, Zhang Y, Song S, Sun Y, Cheng J. Ren C, et al. Eur J Nucl Med Mol Imaging. 2021 May;48(5):1538-1549. doi: 10.1007/s00259-020-05065-6. Epub 2020 Oct 15. Eur J Nucl Med Mol Imaging. 2021. PMID: 33057772 Free PMC article.

8

A clinically practical radiomics-clinical combined model based on PET/CT data and nomogram predicts EGFR mutation in lung adenocarcinoma.

Chang C, Zhou S, Yu H, Zhao W, Ge Y, Duan S, Wang R, Qian X, Lei B, Wang L, Liu L, Ruan M, Yan H, Sun X, Xie W. Chang C, et al. Eur Radiol. 2021 Aug;31(8):6259-6268. doi: 10.1007/s00330-020-07676-x. Epub 2021 Feb 5. Eur Radiol. 2021. PMID: 33544167

9

¹⁸F-FDG PET/CT-based radiomics nomogram for preoperative prediction of macrotrabecular-massive hepatocellular carcinoma: a two-center study.

Hu S, Kang Y, Xie Y, Yang T, Yang Y, Jiao J, Zou Q, Zhang H, Zhang Y. Hu S, et al. Abdom Radiol (NY). 2023 Feb;48(2):532-542. doi: 10.1007/s00261-022-03722-y. Epub 2022 Nov 12. Abdom Radiol (NY). 2023. PMID: 36370179

10

Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma.

Nie P, Yang G, Wang N, Yan L, Miao W, Duan Y, Wang Y, Gong A, Zhao Y, Wu J, Zhang C, Wang M, Cui J, Yu M, Li D, Sun Y, Wang Y, Wang Z. Nie P, et al. Eur J Nucl Med Mol Imaging. 2021 Jan;48(1):217-230. doi: 10.1007/s00259-020-04747-5. Epub 2020 May 25. Eur J Nucl Med Mol Imaging. 2021. PMID: 32451603

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