156 related articles for article (PubMed ID: 37965477)
1. Ultrasound radiomics based on axillary lymph nodes images for predicting lymph node metastasis in breast cancer.
Tang YL; Wang B; Ou-Yang T; Lv WZ; Tang SC; Wei A; Cui XW; Huang JS
Front Oncol; 2023; 13():1217309. PubMed ID: 37965477
[TBL] [Abstract][Full Text] [Related]
2. Mammography-based radiomics nomogram: a potential biomarker to predict axillary lymph node metastasis in breast cancer.
Tan H; Wu Y; Bao F; Zhou J; Wan J; Tian J; Lin Y; Wang M
Br J Radiol; 2020 Jul; 93(1111):20191019. PubMed ID: 32401540
[TBL] [Abstract][Full Text] [Related]
3. 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]
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. 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]
6. Radiomics model based on shear-wave elastography in the assessment of axillary lymph node status in early-stage breast cancer.
Jiang M; Li CL; Luo XM; Chuan ZR; Chen RX; Tang SC; Lv WZ; Cui XW; Dietrich CF
Eur Radiol; 2022 Apr; 32(4):2313-2325. PubMed ID: 34671832
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. Preoperative prediction of axillary lymph node metastasis in patients with breast cancer based on radiomics of gray-scale ultrasonography.
Zhou WJ; Zhang YD; Kong WT; Zhang CX; Zhang B
Gland Surg; 2021 Jun; 10(6):1989-2001. PubMed ID: 34268083
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Radiomics Nomogram of DCE-MRI for the Prediction of Axillary Lymph Node Metastasis in Breast Cancer.
Mao N; Dai Y; Lin F; Ma H; Duan S; Xie H; Zhao W; Hong N
Front Oncol; 2020; 10():541849. PubMed ID: 33381444
[TBL] [Abstract][Full Text] [Related]
13. Noninvasive prediction of lymph node status for patients with early-stage cervical cancer based on radiomics features from ultrasound images.
Jin X; Ai Y; Zhang J; Zhu H; Jin J; Teng Y; Chen B; Xie C
Eur Radiol; 2020 Jul; 30(7):4117-4124. PubMed ID: 32078013
[TBL] [Abstract][Full Text] [Related]
14. Optimized Radiomics Nomogram Based on Automated Breast Ultrasound System: A Potential Tool for Preoperative Prediction of Metastatic Lymph Node Burden in Breast Cancer.
Li N; Song C; Huang X; Zhang H; Su J; Yang L; He J; Cui G
Breast Cancer (Dove Med Press); 2023; 15():121-132. PubMed ID: 36776542
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. 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]
18. Nomogram based on radiomics analysis of primary breast cancer ultrasound images: prediction of axillary lymph node tumor burden in patients.
Gao Y; Luo Y; Zhao C; Xiao M; Ma L; Li W; Qin J; Zhu Q; Jiang Y
Eur Radiol; 2021 Feb; 31(2):928-937. PubMed ID: 32845388
[TBL] [Abstract][Full Text] [Related]
19. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Based on Intratumoral and Peritumoral DCE-MRI Radiomics Nomogram.
Liu Y; Li X; Zhu L; Zhao Z; Wang T; Zhang X; Cai B; Li L; Ma M; Ma X; Ming J
Contrast Media Mol Imaging; 2022; 2022():6729473. PubMed ID: 36051932
[TBL] [Abstract][Full Text] [Related]
20. Development of an ultrasound-based radiomics nomogram to preoperatively predict Ki-67 expression level in patients with breast cancer.
Liu J; Wang X; Hu M; Zheng Y; Zhu L; Wang W; Hu J; Zhou Z; Dai Y; Dong F
Front Oncol; 2022; 12():963925. PubMed ID: 36046035
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
