Wang L - Search Results

1

Deep Learning Based on ResNet-18 for Classification of Prostate Imaging-Reporting and Data System Category 3 Lesions.

Kang Z, Xiao E, Li Z, Wang L. Kang Z, et al. Among authors: wang l. Acad Radiol. 2024 Jun;31(6):2412-2423. doi: 10.1016/j.acra.2023.12.042. Epub 2024 Feb 1. Acad Radiol. 2024. PMID: 38302387

2

CD151 and prostate cancer progression: A review of current literature.

Kang Z, Luo Y, Xiao E, Li Q, Wang L. Kang Z, et al. Among authors: wang l. Asia Pac J Clin Oncol. 2023 Aug;19(4):434-438. doi: 10.1111/ajco.13890. Epub 2022 Nov 30. Asia Pac J Clin Oncol. 2023. PMID: 36448565 Review.

3

Management Strategy for Prostate Imaging Reporting and Data System Category 3 Lesions.

Kang Z, Margolis DJ, Wang S, Li Q, Song J, Wang L. Kang Z, et al. Among authors: wang l, wang s. Curr Urol Rep. 2023 Dec;24(12):561-570. doi: 10.1007/s11934-023-01187-0. Epub 2023 Nov 8. Curr Urol Rep. 2023. PMID: 37936016 Review.

4

Non-invasively identifying candidates of active surveillance for prostate cancer using magnetic resonance imaging radiomics.

Liu Y, Zhao L, Bao J, Hou J, Jing Z, Liu S, Li X, Cao Z, Yang B, Shen J, Zhang J, Ji L, Kang Z, Hu C, Wang L, Liu J. Liu Y, et al. Among authors: wang l. Vis Comput Ind Biomed Art. 2024 Jul 5;7(1):16. doi: 10.1186/s42492-024-00167-6. Vis Comput Ind Biomed Art. 2024. PMID: 38967824 Free PMC article.

5

Clinical-imaging metrics for the diagnosis of prostate cancer in PI-RADS 3 lesions.

Kang Z, Margolis DJ, Tian Y, Li Q, Wang S, Wang L. Kang Z, et al. Among authors: wang l, wang s. Urol Oncol. 2024 Nov;42(11):371.e1-371.e10. doi: 10.1016/j.urolonc.2024.06.014. Epub 2024 Jul 4. Urol Oncol. 2024. PMID: 38969546

6

Predicting Prostate Cancer Upgrading of Biopsy Gleason Grade Group at Radical Prostatectomy Using Machine Learning-Assisted Decision-Support Models.

Liu H, Tang K, Peng E, Wang L, Xia D, Chen Z. Liu H, et al. Among authors: wang l. Cancer Manag Res. 2020 Dec 22;12:13099-13110. doi: 10.2147/CMAR.S286167. eCollection 2020. Cancer Manag Res. 2020. PMID: 33376402 Free PMC article.

7

Comparison and analysis of multiple machine learning models for discriminating benign and malignant testicular lesions based on magnetic resonance imaging radiomics.

Feng Y, Feng Z, Wang L, Lv W, Liu Z, Min X, Li J, Zhang J. Feng Y, et al. Among authors: wang l. Front Med (Lausanne). 2023 Dec 21;10:1279622. doi: 10.3389/fmed.2023.1279622. eCollection 2023. Front Med (Lausanne). 2023. PMID: 38188340 Free PMC article.

8

Added Value of Biparametric MRI and TRUS-Guided Systematic Biopsies to Clinical Parameters in Predicting Adverse Pathology in Prostate Cancer.

Liu H, Tang K, Xia D, Wang X, Zhu W, Wang L, Yang W, Peng E, Chen Z. Liu H, et al. Among authors: wang x, wang l. Cancer Manag Res. 2020 Aug 24;12:7761-7770. doi: 10.2147/CMAR.S260986. eCollection 2020. Cancer Manag Res. 2020. PMID: 32922077 Free PMC article.

9

Combined multiple clinical characteristics for prediction of discordance in grade and stage in prostate cancer patients undergoing systematic biopsy and radical prostatectomy.

Liu H, Tang K, Xia D, Peng E, Wang L, Chen Z. Liu H, et al. Among authors: wang l. Pathol Res Pract. 2020 Nov;216(11):153235. doi: 10.1016/j.prp.2020.153235. Epub 2020 Oct 1. Pathol Res Pract. 2020. PMID: 33035728 Free article.

10

Dual-modal radiomics nomogram based on contrast-enhanced ultrasound to improve differential diagnostic accuracy and reduce unnecessary biopsy rate in ACR TI-RADS 4-5 thyroid nodules.

Ren JY, Lv WZ, Wang L, Zhang W, Ma YY, Huang YZ, Peng YX, Lin JJ, Cui XW. Ren JY, et al. Among authors: wang l. Cancer Imaging. 2024 Jan 23;24(1):17. doi: 10.1186/s40644-024-00661-3. Cancer Imaging. 2024. PMID: 38263209 Free PMC article.

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