Ma W - Search Results

1

MRI-based multiregional radiomics for desmoplastic reaction classification and prognosis stratification in stage II rectal cancer: A bicenter study.

Fan S, Wang J, Hou Y, Cui X, Feng Z, Qi L, Liu J, Bian K, Liang J, Ye Z, Zheng S, Ma W. Fan S, et al. Among authors: ma w. Eur J Radiol. 2024 Dec 12;183:111888. doi: 10.1016/j.ejrad.2024.111888. Online ahead of print. Eur J Radiol. 2024. PMID: 39705910

2

Computed Tomography-Based Radiomic Features Could Potentially Predict Microsatellite Instability Status in Stage II Colorectal Cancer: A Preliminary Study.

Fan S, Li X, Cui X, Zheng L, Ren X, Ma W, Ye Z. Fan S, et al. Among authors: ma w. Acad Radiol. 2019 Dec;26(12):1633-1640. doi: 10.1016/j.acra.2019.02.009. Epub 2019 Mar 28. Acad Radiol. 2019. PMID: 30929999

3

CT-Based Radiomics Signature: A Potential Biomarker for Predicting Postoperative Recurrence Risk in Stage II Colorectal Cancer.

Fan S, Cui X, Liu C, Li X, Zheng L, Song Q, Qi J, Ma W, Ye Z. Fan S, et al. Among authors: ma w. Front Oncol. 2021 Mar 19;11:644933. doi: 10.3389/fonc.2021.644933. eCollection 2021. Front Oncol. 2021. PMID: 33816297 Free PMC article.

4

Prognostic value of desmoplastic stromal reaction, tumor budding and tumor-stroma ratio in stage II colorectal cancer.

Fan S, Cui X, Zheng L, Ma W, Zheng S, Wang J, Qi L, Ye Z. Fan S, et al. Among authors: ma w. J Gastrointest Oncol. 2022 Dec;13(6):2903-2921. doi: 10.21037/jgo-22-758. J Gastrointest Oncol. 2022. PMID: 36636094 Free PMC article.

5

Preoperative CECT-Based Multitask Model Predicts Peritoneal Recurrence and Disease-Free Survival in Advanced Ovarian Cancer: A Multicenter Study.

Yin R, Dou Z, Wang Y, Zhang Q, Guo Y, Wang Y, Chen Y, Zhang C, Li H, Jian X, Qi L, Ma W. Yin R, et al. Among authors: ma w. Acad Radiol. 2024 Nov;31(11):4488-4498. doi: 10.1016/j.acra.2024.04.024. Epub 2024 May 1. Acad Radiol. 2024. PMID: 38693025

6

Predicting Neoadjuvant Chemotherapy Response and High-Grade Serous Ovarian Cancer From CT Images in Ovarian Cancer with Multitask Deep Learning: A Multicenter Study.

Yin R, Guo Y, Wang Y, Zhang Q, Dou Z, Wang Y, Qi L, Chen Y, Zhang C, Li H, Jian X, Ma W. Yin R, et al. Among authors: ma w. Acad Radiol. 2023 Sep;30 Suppl 2:S192-S201. doi: 10.1016/j.acra.2023.04.036. Epub 2023 Jun 17. Acad Radiol. 2023. PMID: 37336707

7

Feasibility analysis of magnetic resonance imaging-based radiomics features for preoperative prediction of nuclear grading of ductal carcinoma in situ.

Zhao MR, Ma WJ, Song XC, Li ZJ, Shao ZZ, Lu H, Zhao R, Guo YJ, Ye ZX, Liu PF. Zhao MR, et al. Gland Surg. 2023 Sep 25;12(9):1209-1223. doi: 10.21037/gs-23-132. Epub 2023 Sep 19. Gland Surg. 2023. PMID: 37842532 Free PMC article.

8

An Ultrasonic-Based Radiomics Nomogram for Distinguishing Between Benign and Malignant Solid Renal Masses.

Li C, Qiao G, Li J, Qi L, Wei X, Zhang T, Li X, Deng S, Wei X, Ma W. Li C, et al. Among authors: ma w. Front Oncol. 2022 Mar 4;12:847805. doi: 10.3389/fonc.2022.847805. eCollection 2022. Front Oncol. 2022. PMID: 35311142 Free PMC article.

9

A combination of tumor and molecular markers predicts a poor prognosis in lung adenocarcinoma.

Liu C, Huang Q, Ma W, Qi L, Wang Y, Qu T, Sun L, Sun B, Meng B, Cao W. Liu C, et al. Among authors: ma w. Int J Clin Exp Pathol. 2019 May 1;12(5):1690-1701. eCollection 2019. Int J Clin Exp Pathol. 2019. PMID: 31933987 Free PMC article.

10

Diagnosis of Ovarian Neoplasms Using Nomogram in Combination With Ultrasound Image-Based Radiomics Signature and Clinical Factors.

Qi L, Chen D, Li C, Li J, Wang J, Zhang C, Li X, Qiao G, Wu H, Zhang X, Ma W. Qi L, et al. Among authors: ma w. Front Genet. 2021 Sep 28;12:753948. doi: 10.3389/fgene.2021.753948. eCollection 2021. Front Genet. 2021. PMID: 34650603 Free PMC article.

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