Wang LL - Search Results

1

Explainable PET-Based Habitat and Peritumoral Machine Learning Model for Predicting Progression-free Survival in Clinical Stage IA Pure-Solid Non-small Cell Lung Cancer: A Two-center Study.

Xue BH, Chen SL, Lan JP, Wang LL, Xie JG, Zheng XW, Wang LX, Tang K. Xue BH, et al. Among authors: wang lx, wang ll. Acad Radiol. 2025 Jan 4:S1076-6332(24)01016-X. doi: 10.1016/j.acra.2024.12.038. Online ahead of print. Acad Radiol. 2025. PMID: 39757063 Free article.

2

Prediction of occult lymph node metastasis using SUV, volumetric parameters and intratumoral heterogeneity of the primary tumor in T1-2N0M0 lung cancer patients staged by PET/CT.

Ouyang ML, Xia HW, Xu MM, Lin J, Wang LL, Zheng XW, Tang K. Ouyang ML, et al. Among authors: wang ll. Ann Nucl Med. 2019 Sep;33(9):671-680. doi: 10.1007/s12149-019-01375-4. Epub 2019 Jun 10. Ann Nucl Med. 2019. PMID: 31190182

3

¹⁸F-FDG PET-based radiomics model for predicting occult lymph node metastasis in clinical N0 solid lung adenocarcinoma.

Wang L, Li T, Hong J, Zhang M, Ouyang M, Zheng X, Tang K. Wang L, et al. Quant Imaging Med Surg. 2021 Jan;11(1):215-225. doi: 10.21037/qims-20-337. Quant Imaging Med Surg. 2021. PMID: 33392023 Free PMC article.

4

Association between bone marrow fluorodeoxyglucose uptake and recurrence after curative surgical resection in patients with T1-2N0M0 lung adenocarcinoma: a retrospective cohort study.

Li TC, Wang LL, Liu BL, Hong JJ, Xu NN, Tang K, Zheng XW. Li TC, et al. Among authors: wang ll. Quant Imaging Med Surg. 2020 Dec;10(12):2285-2296. doi: 10.21037/qims-19-962. Quant Imaging Med Surg. 2020. PMID: 33269227 Free PMC article.

5

Prediction of lymph node metastasis by PET/CT metabolic parameters in patients with esophageal squamous cell carcinoma.

Xu M, Wang L, Ouyang M, Lin J, Wang L, Zheng X, Miao S, Tang K. Xu M, et al. Nucl Med Commun. 2019 Sep;40(9):933-939. doi: 10.1097/MNM.0000000000001050. Nucl Med Commun. 2019. PMID: 31343610

6

A quantitative imaging biomarker for predicting disease-free-survival-associated histologic subgroups in lung adenocarcinoma.

Lu L, Wang D, Wang L, E L, Guo P, Li Z, Xiang J, Yang H, Li H, Yin S, Schwartz LH, Xie C, Zhao B. Lu L, et al. Eur Radiol. 2020 Jul;30(7):3614-3623. doi: 10.1007/s00330-020-06663-6. Epub 2020 Feb 21. Eur Radiol. 2020. PMID: 32086583 Free PMC article.

7

A nomogram model of spectral CT quantitative parameters and clinical characteristics predicting lymphovascular invasion of gastric cancer.

Tong YX, Ye X, Chen YQ, You YR, Zhang HJ, Chen SX, Wang LL, Xue YJ, Chen LH. Tong YX, et al. Among authors: wang ll. Heliyon. 2024 Apr 3;10(7):e29214. doi: 10.1016/j.heliyon.2024.e29214. eCollection 2024 Apr 15. Heliyon. 2024. PMID: 38601586 Free PMC article.

8

A multimodal radiomic machine learning approach to predict the LCK expression and clinical prognosis in high-grade serous ovarian cancer.

Zhan F, He L, Yu Y, Chen Q, Guo Y, Wang L. Zhan F, et al. Sci Rep. 2023 Sep 29;13(1):16397. doi: 10.1038/s41598-023-43543-7. Sci Rep. 2023. PMID: 37773310 Free PMC article.

9

Correction to: A quantitative imaging biomarker for predicting disease-free-survival-associated histologic subgroups in lung adenocarcinoma.

Lu L, Wang D, Wang L, E L, Guo P, Li Z, Xiang J, Yang H, Li H, Yin S, Schwartz LH, Xie C, Zhao B. Lu L, et al. Eur Radiol. 2020 Dec;30(12):6969. doi: 10.1007/s00330-020-07036-9. Eur Radiol. 2020. PMID: 32700019 Free PMC article.

10

Staging liver fibrosis: comparison of radiomics model and fusion model based on multiparametric MRI in patients with chronic liver disease.

Xiao L, Zhao H, Liu S, Dong W, Gao Y, Wang L, Huang B, Li Z. Xiao L, et al. Abdom Radiol (NY). 2024 Apr;49(4):1165-1174. doi: 10.1007/s00261-023-04142-2. Epub 2024 Jan 14. Abdom Radiol (NY). 2024. PMID: 38219254

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