144 related articles for article (PubMed ID: 37410710)
1. 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]
2. Intratumoral and peritumoral radiomics for preoperatively predicting the axillary non-sentinel lymph node metastasis in breast cancer on the basis of contrast-enhanced mammography: a multicenter study.
Lin F; Li Q; Wang Z; Shi Y; Ma H; Zhang H; Zhang K; Yang P; Zhang R; Duan S; Gu Y; Mao N; Xie H
Br J Radiol; 2023 Mar; 96(1143):20220068. PubMed ID: 36542866
[TBL] [Abstract][Full Text] [Related]
3. Ultrasound-based radiomics nomogram for predicting axillary lymph node metastasis in early-stage breast cancer.
Zhang W; Wang S; Wang Y; Sun J; Wei H; Xue W; Dong X; Wang X
Radiol Med; 2024 Feb; 129(2):211-221. PubMed ID: 38280058
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. Intra- and Peritumoral Radiomics of Contrast-Enhanced Mammography Predicts Axillary Lymph Node Metastasis in Patients With Breast Cancer: A Multicenter Study.
Wang Z; Zhang H; Lin F; Zhang R; Ma H; Shi Y; Yang P; Zhang K; Zhao F; Mao N; Xie H
Acad Radiol; 2023 Sep; 30 Suppl 2():S133-S142. PubMed ID: 37088646
[TBL] [Abstract][Full Text] [Related]
10. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
Yu Y; Tan Y; Xie C; Hu Q; Ouyang J; Chen Y; Gu Y; Li A; Lu N; He Z; Yang Y; Chen K; Ma J; Li C; Ma M; Li X; Zhang R; Zhong H; Ou Q; Zhang Y; He Y; Li G; Wu Z; Su F; Song E; Yao H
JAMA Netw Open; 2020 Dec; 3(12):e2028086. PubMed ID: 33289845
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 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]
14. Deep Learning Radiomics Nomogram Based on Multiphase Computed Tomography for Predicting Axillary Lymph Node Metastasis in Breast Cancer.
Zhang J; Yin W; Yang L; Yao X
Mol Imaging Biol; 2024 Feb; 26(1):90-100. PubMed ID: 37563517
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. 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]
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 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]
20. 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]
[Next] [New Search]
