314 related articles for article (PubMed ID: 36604679)
21. 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]
22. 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]
23. Radiomic signatures derived from multiparametric MRI for the pretreatment prediction of response to neoadjuvant chemotherapy in breast cancer.
Bian T; Wu Z; Lin Q; Wang H; Ge Y; Duan S; Fu G; Cui C; Su X
Br J Radiol; 2020 Nov; 93(1115):20200287. PubMed ID: 32822542
[TBL] [Abstract][Full Text] [Related]
24. Diagnostic performance of MRI for assessing axillary lymph node status after neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis.
Li Z; Ma Q; Gao Y; Qu M; Li J; Lei J
Eur Radiol; 2024 Feb; 34(2):930-942. PubMed ID: 37615764
[TBL] [Abstract][Full Text] [Related]
25. Evaluation of Multiparametric MRI Radiomics-Based Nomogram in Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Two-Center study.
Wang X; Hua H; Han J; Zhong X; Liu J; Chen J
Clin Breast Cancer; 2023 Aug; 23(6):e331-e344. PubMed ID: 37321954
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Nomogram for predicting axillary lymph node pathological response in node-positive breast cancer patients after neoadjuvant chemotherapy.
Wang W; Wang X; Liu J; Zhu Q; Wang X; Wang P
Chin Med J (Engl); 2021 Dec; 135(3):333-340. PubMed ID: 35108228
[TBL] [Abstract][Full Text] [Related]
28. The accuracy of breast MRI radiomic methodologies in predicting pathological complete response to neoadjuvant chemotherapy: A systematic review and network meta-analysis.
O'Donnell JPM; Gasior SA; Davey MG; O'Malley E; Lowery AJ; McGarry J; O'Connell AM; Kerin MJ; McCarthy P
Eur J Radiol; 2022 Dec; 157():110561. PubMed ID: 36308849
[TBL] [Abstract][Full Text] [Related]
29. Radiomics Based on DCE-MRI for Predicting Response to Neoadjuvant Therapy in Breast Cancer.
Zeng Q; Xiong F; Liu L; Zhong L; Cai F; Zeng X
Acad Radiol; 2023 Sep; 30 Suppl 2():S38-S49. PubMed ID: 37169624
[TBL] [Abstract][Full Text] [Related]
30. Multi-modality radiomics model predicts axillary lymph node metastasis of breast cancer using MRI and mammography.
Wang Q; Lin Y; Ding C; Guan W; Zhang X; Jia J; Zhou W; Liu Z; Bai G
Eur Radiol; 2024 Feb; ():. PubMed ID: 38337068
[TBL] [Abstract][Full Text] [Related]
31. Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.
Braman NM; Etesami M; Prasanna P; Dubchuk C; Gilmore H; Tiwari P; Plecha D; Madabhushi A
Breast Cancer Res; 2017 May; 19(1):57. PubMed ID: 28521821
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. 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]
34. Prediction of Axillary Lymph Node Metastasis in Breast Cancer using Intra-peritumoral Textural Transition Analysis based on Dynamic Contrast-enhanced Magnetic Resonance Imaging.
Zhan C; Hu Y; Wang X; Liu H; Xia L; Ai T
Acad Radiol; 2022 Jan; 29 Suppl 1():S107-S115. PubMed ID: 33712393
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. 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]
37. 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]
38. 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]
39. 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]
40. 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]
[Previous] [Next] [New Search]
