207 related articles for article (PubMed ID: 29903479)
1. Computer-aided prediction model for axillary lymph node metastasis in breast cancer using tumor morphological and textural features on ultrasound.
Moon WK; Chen IL; Yi A; Bae MS; Shin SU; Chang RF
Comput Methods Programs Biomed; 2018 Aug; 162():129-137. PubMed ID: 29903479
[TBL] [Abstract][Full Text] [Related]
2. Computer-aided prediction of axillary lymph node status in breast cancer using tumor surrounding tissue features in ultrasound images.
Moon WK; Lee YW; Huang YS; Lee SH; Bae MS; Yi A; Huang CS; Chang RF
Comput Methods Programs Biomed; 2017 Jul; 146():143-150. PubMed ID: 28688484
[TBL] [Abstract][Full Text] [Related]
3. Axillary lymph node metastasis status prediction of early-stage breast cancer using convolutional neural networks.
Lee YW; Huang CS; Shih CC; Chang RF
Comput Biol Med; 2021 Mar; 130():104206. PubMed ID: 33421823
[TBL] [Abstract][Full Text] [Related]
4. Adding contrast-enhanced ultrasound markers to conventional axillary ultrasound improves specificity for predicting axillary lymph node metastasis in patients with breast cancer.
Du LW; Liu HL; Gong HY; Ling LJ; Wang S; Li CY; Zong M
Br J Radiol; 2021 Feb; 94(1118):20200874. PubMed ID: 32976019
[TBL] [Abstract][Full Text] [Related]
5. A non-invasive preoperative prediction model for predicting axillary lymph node metastasis in breast cancer based on a machine learning approach: combining ultrasonographic parameters and breast gamma specific imaging features.
Cai R; Deng L; Zhang H; Zhang H; Wu Q
Radiat Oncol; 2024 May; 19(1):63. PubMed ID: 38802938
[TBL] [Abstract][Full Text] [Related]
6. Impact of preoperative ultrasonography and fine-needle aspiration of axillary lymph nodes on surgical management of primary breast cancer.
Park SH; Kim MJ; Park BW; Moon HJ; Kwak JY; Kim EK
Ann Surg Oncol; 2011 Mar; 18(3):738-44. PubMed ID: 20890729
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Magnetic resonance imaging features for predicting axillary lymph node metastasis in patients with breast cancer.
Zhao M; Wu Q; Guo L; Zhou L; Fu K
Eur J Radiol; 2020 Aug; 129():109093. PubMed ID: 32512504
[TBL] [Abstract][Full Text] [Related]
10. Dual-modal computer-assisted evaluation of axillary lymph node metastasis in breast cancer patients on both real-time elastography and B-mode ultrasound.
Zhang Q; Suo J; Chang W; Shi J; Chen M
Eur J Radiol; 2017 Oct; 95():66-74. PubMed ID: 28987700
[TBL] [Abstract][Full Text] [Related]
11. False negative results in axillary lymph nodes by ultrasonography and ultrasonography-guided fine-needle aspiration in patients with invasive ductal carcinoma.
Park SH; Kim EK; Park BW; Kim SI; Moon HJ; Kim MJ
Ultraschall Med; 2013 Dec; 34(6):559-67. PubMed ID: 23258771
[TBL] [Abstract][Full Text] [Related]
12. Usefulness of preoperative breast magnetic resonance imaging with a dedicated axillary sequence for the detection of axillary lymph node metastasis in patients with early ductal breast cancer.
Ahn HS; Jang M; Kim SM; La Yun B; Lee SH
Radiol Med; 2019 Dec; 124(12):1220-1228. PubMed ID: 31422573
[TBL] [Abstract][Full Text] [Related]
13. Combining the Ultrasound Features of Primary Tumor and Axillary Lymph Nodes Can Reduce False-Negative Rate during the Prediction of High Axillary Node Burden in BI-RADS Category 4 or 5 Breast Cancer Lesions.
Yi CB; Ding ZY; Deng J; Ye XH; Chen L; Zong M; Li CY
Ultrasound Med Biol; 2020 Aug; 46(8):1941-1948. PubMed ID: 32451195
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Association between US features of primary tumor and axillary lymph node metastasis in patients with clinical T1-T2N0 breast cancer.
Bae MS; Shin SU; Song SE; Ryu HS; Han W; Moon WK
Acta Radiol; 2018 Apr; 59(4):402-408. PubMed ID: 28748712
[TBL] [Abstract][Full Text] [Related]
16. High-resolution ultrasonographic features of axillary lymph node metastasis in patients with breast cancer.
Choi YJ; Ko EY; Han BK; Shin JH; Kang SS; Hahn SY
Breast; 2009 Apr; 18(2):119-22. PubMed ID: 19297159
[TBL] [Abstract][Full Text] [Related]
17. Correlation between Ultrasound Appearance of Small Breast Cancer and Axillary Lymph Node Metastasis.
Yu X; Hao X; Wan J; Wang Y; Yu L; Liu B
Ultrasound Med Biol; 2018 Feb; 44(2):342-349. PubMed ID: 29150365
[TBL] [Abstract][Full Text] [Related]
18. Imaging and pathology features to predict axillary tumor load in breast cancer.
Nicolau P; Gamero R; Rodríguez-Arana A; Plancarte F; Alcántara R; Carreras R; Sabadell D; Vernet-Tomas M
J Obstet Gynaecol Res; 2018 Feb; 44(2):331-336. PubMed ID: 29027318
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]
