232 related articles for article (PubMed ID: 34384696)
1. Convolutional Neural Network of Multiparametric MRI Accurately Detects Axillary Lymph Node Metastasis in Breast Cancer Patients With Pre Neoadjuvant Chemotherapy.
Ren T; Lin S; Huang P; Duong TQ
Clin Breast Cancer; 2022 Feb; 22(2):170-177. PubMed ID: 34384696
[TBL] [Abstract][Full Text] [Related]
2. Convolutional Neural Network Detection of Axillary Lymph Node Metastasis Using Standard Clinical Breast MRI.
Ren T; Cattell R; Duanmu H; Huang P; Li H; Vanguri R; Liu MZ; Jambawalikar S; Ha R; Wang F; Cohen J; Bernstein C; Bangiyev L; Duong TQ
Clin Breast Cancer; 2020 Jun; 20(3):e301-e308. PubMed ID: 32139272
[TBL] [Abstract][Full Text] [Related]
3. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using CNN Based on Multiparametric MRI.
Wang Z; Sun H; Li J; Chen J; Meng F; Li H; Han L; Zhou S; Yu T
J Magn Reson Imaging; 2022 Sep; 56(3):700-709. PubMed ID: 35108415
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Attention-based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE-MRI.
Gao J; Zhong X; Li W; Li Q; Shao H; Wang Z; Dai Y; Ma H; Shi Y; Zhang H; Duan S; Zhang K; Yang P; Zhao F; Zhang H; Xie H; Mao N
J Magn Reson Imaging; 2023 Jun; 57(6):1842-1853. PubMed ID: 36219519
[TBL] [Abstract][Full Text] [Related]
6. Artificial neural network models to predict nodal status in clinically node-negative breast cancer.
Dihge L; Ohlsson M; Edén P; Bendahl PO; Rydén L
BMC Cancer; 2019 Jun; 19(1):610. PubMed ID: 31226956
[TBL] [Abstract][Full Text] [Related]
7. A machine-learning approach based on multiparametric MRI to identify the risk of non-sentinel lymph node metastasis in patients with early-stage breast cancer.
Yu H; Li Q; Xie F; Wu S; Chen Y; Huang C; Xu Y; Niu Q
Acta Radiol; 2024 Feb; 65(2):185-194. PubMed ID: 38115683
[TBL] [Abstract][Full Text] [Related]
8. Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.
Zhou LQ; Wu XL; Huang SY; Wu GG; Ye HR; Wei Q; Bao LY; Deng YB; Li XR; Cui XW; Dietrich CF
Radiology; 2020 Jan; 294(1):19-28. PubMed ID: 31746687
[TBL] [Abstract][Full Text] [Related]
9. MRI Volume Changes of Axillary Lymph Nodes as Predictor of Pathologic Complete Responses to Neoadjuvant Chemotherapy in Breast Cancer.
Cattell RF; Kang JJ; Ren T; Huang PB; Muttreja A; Dacosta S; Li H; Baer L; Clouston S; Palermo R; Fisher P; Bernstein C; Cohen JA; Duong TQ
Clin Breast Cancer; 2020 Feb; 20(1):68-79.e1. PubMed ID: 31327729
[TBL] [Abstract][Full Text] [Related]
10. Cross-sectional imaging to evaluate the extent of regional nodal disease in breast cancer patients undergoing neoadjuvant systemic therapy.
Anderson TL; Glazebrook KN; Murphy BL; Viers LD; Hieken TJ
Eur J Radiol; 2017 Apr; 89():163-168. PubMed ID: 28267534
[TBL] [Abstract][Full Text] [Related]
11. Noninvasive assessment of breast cancer molecular subtypes on multiparametric MRI using convolutional neural network with transfer learning.
Yin H; Bai L; Jia H; Lin G
Thorac Cancer; 2022 Nov; 13(22):3183-3191. PubMed ID: 36203226
[TBL] [Abstract][Full Text] [Related]
12. Assessment of multifocality and axillary nodal involvement in early-stage breast cancer patients using 18F-FDG PET/CT compared to contrast-enhanced and diffusion-weighted magnetic resonance imaging and sentinel node biopsy.
Ergul N; Kadioglu H; Yildiz S; Yucel SB; Gucin Z; Erdogan EB; Aydin M; Muslumanoglu M
Acta Radiol; 2015 Aug; 56(8):917-23. PubMed ID: 25013091
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Preoperative MRI improves prediction of extensive occult axillary lymph node metastases in breast cancer patients with a positive sentinel lymph node biopsy.
Loiselle C; Eby PR; Kim JN; Calhoun KE; Allison KH; Gadi VK; Peacock S; Storer BE; Mankoff DA; Partridge SC; Lehman CD
Acad Radiol; 2014 Jan; 21(1):92-8. PubMed ID: 24331270
[TBL] [Abstract][Full Text] [Related]
15. Predicting nodal status using dynamic contrast-enhanced magnetic resonance imaging in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy with and without sequential trastuzumab.
Hsiang DJ; Yamamoto M; Mehta RS; Su MY; Baick CH; Lane KT; Butler JA
Arch Surg; 2007 Sep; 142(9):855-61; discussion 860-1. PubMed ID: 17875840
[TBL] [Abstract][Full Text] [Related]
16. Sentinel lymph node biopsy performed after neoadjuvant chemotherapy is accurate in patients with documented node-positive breast cancer at presentation.
Newman EA; Sabel MS; Nees AV; Schott A; Diehl KM; Cimmino VM; Chang AE; Kleer C; Hayes DF; Newman LA
Ann Surg Oncol; 2007 Oct; 14(10):2946-52. PubMed ID: 17514407
[TBL] [Abstract][Full Text] [Related]
17. Computed tomography reconstruction for evaluating response in axillary lymph nodes of breast cancer after neoadjuvant chemotherapy.
Wang L; Li Y; Li J; Wang T; Xie Y; He Y; Fan Z; Ouyang T
Clin Transl Oncol; 2021 Feb; 23(2):240-245. PubMed ID: 32519177
[TBL] [Abstract][Full Text] [Related]
18. Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.
Ha R; Chang P; Karcich J; Mutasa S; Fardanesh R; Wynn RT; Liu MZ; Jambawalikar S
J Digit Imaging; 2018 Dec; 31(6):851-856. PubMed ID: 29696472
[TBL] [Abstract][Full Text] [Related]
19. Prediction of Axillary Lymph Node Metastasis in Early-stage Triple-Negative Breast Cancer Using Multiparametric and Radiomic Features of Breast MRI.
Song SE; Woo OH; Cho Y; Cho KR; Park KH; Kim JW
Acad Radiol; 2023 Sep; 30 Suppl 2():S25-S37. PubMed ID: 37331865
[TBL] [Abstract][Full Text] [Related]
20. Deep Learning Prediction of Axillary Lymph Node Metastasis in Breast Cancer Patients Using Clinical Implication-Applied Preprocessed CT Images.
Park TY; Kwon LM; Hyeon J; Cho BJ; Kim BJ
Curr Oncol; 2024 Apr; 31(4):2278-2288. PubMed ID: 38668072
[No Abstract] [Full Text] [Related]
[Next] [New Search]