286 related articles for article (PubMed ID: 34993145)
1. A Clinical-Radiomics Model for Predicting Axillary Pathologic Complete Response in Breast Cancer With Axillary Lymph Node Metastases.
Gan L; Ma M; Liu Y; Liu Q; Xin L; Cheng Y; Xu L; Qin N; Jiang Y; Zhang X; Wang X; Ye J
Front Oncol; 2021; 11():786346. PubMed ID: 34993145
[TBL] [Abstract][Full Text] [Related]
2. Radiomics features based on automatic segmented MRI images: Prognostic biomarkers for triple-negative breast cancer treated with neoadjuvant chemotherapy.
Ma M; Gan L; Liu Y; Jiang Y; Xin L; Liu Y; Qin N; Cheng Y; Liu Q; Xu L; Zhang Y; Wang X; Zhang X; Ye J; Wang X
Eur J Radiol; 2022 Jan; 146():110095. PubMed ID: 34890936
[TBL] [Abstract][Full Text] [Related]
3. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
[TBL] [Abstract][Full Text] [Related]
4. A Radiomics Model for Preoperative Predicting Sentinel Lymph Node Metastasis in Breast Cancer Based on Dynamic Contrast-Enhanced MRI.
Ma M; Jiang Y; Qin N; Zhang X; Zhang Y; Wang X; Wang X
Front Oncol; 2022; 12():884599. PubMed ID: 35734587
[TBL] [Abstract][Full Text] [Related]
5. Development of MRI-Based Deep Learning Signature for Prediction of Axillary Response After NAC in Breast Cancer.
Zhang B; Yu Y; Mao Y; Wang H; Lv M; Su X; Wang Y; Li Z; Zhang Z; Bian T; Wang Q
Acad Radiol; 2024 Mar; 31(3):800-811. PubMed ID: 37914627
[TBL] [Abstract][Full Text] [Related]
6. Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study.
Gu J; Tong T; Xu D; Cheng F; Fang C; He C; Wang J; Wang B; Yang X; Wang K; Tian J; Jiang T
Cancer; 2023 Feb; 129(3):356-366. PubMed ID: 36401611
[TBL] [Abstract][Full Text] [Related]
7. Longitudinal ultrasound-based AI model predicts axillary lymph node response to neoadjuvant chemotherapy in breast cancer: a multicenter study.
Fu Y; Lei YT; Huang YH; Mei F; Wang S; Yan K; Wang YH; Ma YH; Cui LG
Eur Radiol; 2024 May; ():. PubMed ID: 38724768
[TBL] [Abstract][Full Text] [Related]
8. Prediction of Residual Axillary Nodal Metastasis Following Neoadjuvant Chemotherapy for Breast Cancer: Radiomics Analysis Based on Chest Computed Tomography.
Lee HJ; Nguyen AT; Song MW; Lee JE; Park SB; Jeong WG; Park MH; Lee JS; Park I; Lim HS
Korean J Radiol; 2023 Jun; 24(6):498-511. PubMed ID: 37271204
[TBL] [Abstract][Full Text] [Related]
9. Non-invasive prediction model of axillary lymph node status in patients with early-stage breast cancer: a feasibility study based on dynamic contrast-enhanced-MRI radiomics.
Chen W; Lin G; Kong C; Wu X; Hu Y; Chen M; Xia S; Lu C; Xu M; Ji J
Br J Radiol; 2024 Feb; 97(1154):439-450. PubMed ID: 38308028
[TBL] [Abstract][Full Text] [Related]
10. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Based on Intratumoral and Peritumoral DCE-MRI Radiomics Nomogram.
Liu Y; Li X; Zhu L; Zhao Z; Wang T; Zhang X; Cai B; Li L; Ma M; Ma X; Ming J
Contrast Media Mol Imaging; 2022; 2022():6729473. PubMed ID: 36051932
[TBL] [Abstract][Full Text] [Related]
11. A delta-radiomic lymph node model using dynamic contrast enhanced MRI for the early prediction of axillary response after neoadjuvant chemotherapy in breast cancer patients.
Liu S; Du S; Gao S; Teng Y; Jin F; Zhang L
BMC Cancer; 2023 Jan; 23(1):15. PubMed ID: 36604679
[TBL] [Abstract][Full Text] [Related]
12. Radiomics nomogram for predicting axillary lymph node metastasis in breast cancer based on DCE-MRI: A multicenter study.
Zhang J; Zhang Z; Mao N; Zhang H; Gao J; Wang B; Ren J; Liu X; Zhang B; Dou T; Li W; Wang Y; Jia H
J Xray Sci Technol; 2023; 31(2):247-263. PubMed ID: 36744360
[TBL] [Abstract][Full Text] [Related]
13. Dynamic contrast-enhanced MRI radiomics nomogram for predicting axillary lymph node metastasis in breast cancer.
Song D; Yang F; Zhang Y; Guo Y; Qu Y; Zhang X; Zhu Y; Cui S
Cancer Imaging; 2022 Apr; 22(1):17. PubMed ID: 35379339
[TBL] [Abstract][Full Text] [Related]
14. Could Ultrasound-Based Radiomics Noninvasively Predict Axillary Lymph Node Metastasis in Breast Cancer?
Qiu X; Jiang Y; Zhao Q; Yan C; Huang M; Jiang T
J Ultrasound Med; 2020 Oct; 39(10):1897-1905. PubMed ID: 32329142
[TBL] [Abstract][Full Text] [Related]
15. Clinical study on the prediction of ALN metastasis based on intratumoral and peritumoral DCE-MRI radiomics and clinico-radiological characteristics in breast cancer.
Wang Y; Shang Y; Guo Y; Hai M; Gao Y; Wu Q; Li S; Liao J; Sun X; Wu Y; Wang M; Tan H
Front Oncol; 2024; 14():1357145. PubMed ID: 38567148
[TBL] [Abstract][Full Text] [Related]
16. Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast-enhanced-MRI-based radiomics.
Liu Z; Feng B; Li C; Chen Y; Chen Q; Li X; Guan J; Chen X; Cui E; Li R; Li Z; Long W
J Magn Reson Imaging; 2019 Sep; 50(3):847-857. PubMed ID: 30773770
[TBL] [Abstract][Full Text] [Related]
17. Automated Breast Ultrasound (ABUS)-based radiomics nomogram: an individualized tool for predicting axillary lymph node tumor burden in patients with early breast cancer.
Chen Y; Xie Y; Li B; Shao H; Na Z; Wang Q; Jing H
BMC Cancer; 2023 Apr; 23(1):340. PubMed ID: 37055722
[TBL] [Abstract][Full Text] [Related]
18. Comparison of Traditional Radiomics, Deep Learning Radiomics and Fusion Methods for Axillary Lymph Node Metastasis Prediction in Breast Cancer.
Li X; Yang L; Jiao X
Acad Radiol; 2023 Jul; 30(7):1281-1287. PubMed ID: 36376154
[TBL] [Abstract][Full Text] [Related]
19. MRI-Based Radiomics Nomogram: Prediction of Axillary Non-Sentinel Lymph Node Metastasis in Patients With Sentinel Lymph Node-Positive Breast Cancer.
Qiu Y; Zhang X; Wu Z; Wu S; Yang Z; Wang D; Le H; Mao J; Dai G; Tian X; Zhou R; Huang J; Hu L; Shen J
Front Oncol; 2022; 12():811347. PubMed ID: 35296027
[TBL] [Abstract][Full Text] [Related]
20. Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study.
Zhu Y; Ma Y; Zhai Z; Liu A; Wang Y; Zhang Y; Li H; Zhao M; Han P; Yin L; He N; Wu Y; Sechopoulos I; Ye Z; Caballo M
Eur Radiol; 2024 Apr; 34(4):2576-2589. PubMed ID: 37782338
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]