240 related articles for article (PubMed ID: 36973631)
21. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymph Node Metastasis in Early-Stage Cervical Cancer.
Xiao M; Ma F; Li Y; Li Y; Li M; Zhang G; Qiang J
J Magn Reson Imaging; 2020 Sep; 52(3):885-896. PubMed ID: 32096586
[TBL] [Abstract][Full Text] [Related]
22. Radiomics model based on features of axillary lymphatic nodes to predict axillary lymphatic node metastasis in breast cancer.
Tang Y; Che X; Wang W; Su S; Nie Y; Yang C
Med Phys; 2022 Dec; 49(12):7555-7566. PubMed ID: 35869750
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. A nomogram based on radiomics signature and deep-learning signature for preoperative prediction of axillary lymph node metastasis in breast cancer.
Wang D; Hu Y; Zhan C; Zhang Q; Wu Y; Ai T
Front Oncol; 2022; 12():940655. PubMed ID: 36338691
[TBL] [Abstract][Full Text] [Related]
25. Nomogram Based on Breast MRI and Clinicopathologic Features for Predicting Axillary Lymph Node Metastasis in Patients with Early-Stage Invasive Breast Cancer: A Retrospective Study.
Xue M; Che S; Tian Y; Xie L; Huang L; Zhao L; Guo N; Li J
Clin Breast Cancer; 2022 Jun; 22(4):e428-e437. PubMed ID: 34865995
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Deep learning radiomics for prediction of axillary lymph node metastasis in patients with clinical stage T1-2 breast cancer.
Wei W; Ma Q; Feng H; Wei T; Jiang F; Fan L; Zhang W; Xu J; Zhang X
Quant Imaging Med Surg; 2023 Aug; 13(8):4995-5011. PubMed ID: 37581073
[TBL] [Abstract][Full Text] [Related]
28. Radiomics nomogram based on digital breast tomosynthesis: preoperative evaluation of axillary lymph node metastasis in breast carcinoma.
Xu M; Yang H; Yang Q; Teng P; Hao H; Liu C; Yu S; Liu G
J Cancer Res Clin Oncol; 2023 Sep; 149(11):9317-9328. PubMed ID: 37208454
[TBL] [Abstract][Full Text] [Related]
29. Intra- and Peritumoral Based Radiomics for Assessment of Lymphovascular Invasion in Invasive Breast Cancer.
Jiang W; Meng R; Cheng Y; Wang H; Han T; Qu N; Yu T; Hou Y; Xu S
J Magn Reson Imaging; 2024 Feb; 59(2):613-625. PubMed ID: 37199241
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Carcinoma Using Radiomics Features Based on the Fat-Suppressed T2 Sequence.
Tan H; Gan F; Wu Y; Zhou J; Tian J; Lin Y; Wang M
Acad Radiol; 2020 Sep; 27(9):1217-1225. PubMed ID: 31879160
[TBL] [Abstract][Full Text] [Related]
32. Assessment of Lymphovascular Invasion in Breast Cancer Using a Combined MRI Morphological Features, Radiomics, and Deep Learning Approach Based on Dynamic Contrast-Enhanced MRI.
Yang X; Fan X; Lin S; Zhou Y; Liu H; Wang X; Zuo Z; Zeng Y
J Magn Reson Imaging; 2024 Jun; 59(6):2238-2249. PubMed ID: 37855421
[TBL] [Abstract][Full Text] [Related]
33. Evaluation of Lymph Node Metastasis in Advanced Gastric Cancer Using Magnetic Resonance Imaging-Based Radiomics.
Chen W; Wang S; Dong D; Gao X; Zhou K; Li J; Lv B; Li H; Wu X; Fang M; Tian J; Xu M
Front Oncol; 2019; 9():1265. PubMed ID: 31824847
[No Abstract] [Full Text] [Related]
34. Predicting of axillary lymph node metastasis in invasive breast cancer using multiparametric MRI dataset based on CNN model.
Zhang X; Liu M; Ren W; Sun J; Wang K; Xi X; Zhang G
Front Oncol; 2022; 12():1069733. PubMed ID: 36561533
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. Ultrasound-based radiomics nomogram: A potential biomarker to predict axillary lymph node metastasis in early-stage invasive breast cancer.
Yu FH; Wang JX; Ye XH; Deng J; Hang J; Yang B
Eur J Radiol; 2019 Oct; 119():108658. PubMed ID: 31521878
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. Ultrasonography and clinicopathological features of breast cancer in predicting axillary lymph node metastases.
Xiong J; Zuo W; Wu Y; Wang X; Li W; Wang Q; Zhou H; Xie M; Qin X
BMC Cancer; 2022 Nov; 22(1):1155. PubMed ID: 36352378
[TBL] [Abstract][Full Text] [Related]
39. Predicting axillary lymph node metastasis in breast cancer patients: A radiomics-based multicenter approach with interpretability analysis.
Liu Z; Hong M; Li X; Lin L; Tan X; Liu Y
Eur J Radiol; 2024 Jul; 176():111522. PubMed ID: 38805883
[TBL] [Abstract][Full Text] [Related]
40. Multimodal radiomics and nomogram-based prediction of axillary lymph node metastasis in breast cancer: An analysis considering optimal peritumoral region.
Duan Y; Chen X; Li W; Li S; Zhang C
J Clin Ultrasound; 2023 Sep; 51(7):1231-1241. PubMed ID: 37410710
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]