189 related articles for article (PubMed ID: 34162234)
1. Prediction of the number of metastatic axillary lymph nodes in breast cancer by radiomic signature based on dynamic contrast-enhanced MRI.
Li L; Yu T; Sun J; Jiang S; Liu D; Wang X; Zhang J
Acta Radiol; 2022 Aug; 63(8):1014-1022. PubMed ID: 34162234
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer.
Han L; Zhu Y; Liu Z; Yu T; He C; Jiang W; Kan Y; Dong D; Tian J; Luo Y
Eur Radiol; 2019 Jul; 29(7):3820-3829. PubMed ID: 30701328
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
Yu Y; Tan Y; Xie C; Hu Q; Ouyang J; Chen Y; Gu Y; Li A; Lu N; He Z; Yang Y; Chen K; Ma J; Li C; Ma M; Li X; Zhang R; Zhong H; Ou Q; Zhang Y; He Y; Li G; Wu Z; Su F; Song E; Yao H
JAMA Netw Open; 2020 Dec; 3(12):e2028086. PubMed ID: 33289845
[TBL] [Abstract][Full Text] [Related]
6. Radiomic features of axillary lymph nodes based on pharmacokinetic modeling DCE-MRI allow preoperative diagnosis of their metastatic status in breast cancer.
Luo HB; Liu YY; Wang CH; Qing HM; Wang M; Zhang X; Chen XY; Xu GH; Zhou P; Ren J
PLoS One; 2021; 16(3):e0247074. PubMed ID: 33647031
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Deep Learning Radiomics of Preoperative Breast MRI for Prediction of Axillary Lymph Node Metastasis in Breast Cancer.
Chen Y; Wang L; Dong X; Luo R; Ge Y; Liu H; Zhang Y; Wang D
J Digit Imaging; 2023 Aug; 36(4):1323-1331. PubMed ID: 36973631
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Radiomic Nomogram for Predicting Axillary Lymph Node Metastasis in Patients with Breast Cancer.
Chen Y; Li J; Zhang J; Yu Z; Jiang H
Acad Radiol; 2024 Mar; 31(3):788-799. PubMed ID: 37932165
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Non-invasive Assessment of Axillary Lymph Node Metastasis Risk in Early Invasive Breast Cancer Adopting Automated Breast Volume Scanning-Based Radiomics Nomogram: A Multicenter Study.
Wang H; Yang XW; Chen F; Qin YY; Li XB; Ma SM; Lei JQ; Nan CL; Zhang WY; Chen W; Guo SL
Ultrasound Med Biol; 2023 May; 49(5):1202-1211. PubMed ID: 36746744
[TBL] [Abstract][Full Text] [Related]
13. Radiomic Signature Based on Dynamic Contrast-Enhanced MRI for Evaluation of Axillary Lymph Node Metastasis in Breast Cancer.
Tang Y; Chen L; Qiao Y; Li W; Deng R; Liang M
Comput Math Methods Med; 2022; 2022():1507125. PubMed ID: 36035302
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer.
Qu J; Shen C; Qin J; Wang Z; Liu Z; Guo J; Zhang H; Gao P; Bei T; Wang Y; Liu H; Kamel IR; Tian J; Li H
Eur Radiol; 2019 Feb; 29(2):906-914. PubMed ID: 30039220
[TBL] [Abstract][Full Text] [Related]
16. Preoperative prediction of axillary sentinel lymph node burden with multiparametric MRI-based radiomics nomogram in early-stage breast cancer.
Zhang X; Yang Z; Cui W; Zheng C; Li H; Li Y; Lu L; Mao J; Zeng W; Yang X; Zheng J; Shen J
Eur Radiol; 2021 Aug; 31(8):5924-5939. PubMed ID: 33569620
[TBL] [Abstract][Full Text] [Related]
17. Differentiating axillary lymph node metastasis in invasive breast cancer patients: A comparison of radiomic signatures from multiparametric breast MR sequences.
Chai R; Ma H; Xu M; Arefan D; Cui X; Liu Y; Zhang L; Wu S; Xu K
J Magn Reson Imaging; 2019 Oct; 50(4):1125-1132. PubMed ID: 30848041
[TBL] [Abstract][Full Text] [Related]
18. Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI.
Liu C; Ding J; Spuhler K; Gao Y; Serrano Sosa M; Moriarty M; Hussain S; He X; Liang C; Huang C
J Magn Reson Imaging; 2019 Jan; 49(1):131-140. PubMed ID: 30171822
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Predicting the risk of axillary lymph node metastasis in early breast cancer patients based on ultrasonographic-clinicopathologic features and the use of nomograms: a prospective single-center observational study.
Fong W; Tan L; Tan C; Wang H; Liu F; Tian H; Shen S; Gu R; Hu Y; Jiang X; Mei J; Liang J; Hu T; Chen K; Yu F
Eur Radiol; 2022 Dec; 32(12):8200-8212. PubMed ID: 36169686
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]