214 related articles for article (PubMed ID: 36644636)
1. Development and validation of a radiogenomics model to predict axillary lymph node metastasis in breast cancer integrating MRI with transcriptome data: A multicohort study.
Chen H; Lan X; Yu T; Li L; Tang S; Liu S; Jiang F; Wang L; Huang Y; Cao Y; Wang W; Wang X; Zhang J
Front Oncol; 2022; 12():1076267. PubMed ID: 36644636
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. A radiomics model development via the associations with genomics features in predicting axillary lymph node metastasis of breast cancer: a study based on a public database and single-centre verification.
Chen H; Wang X; Lan X; Yu T; Li L; Tang S; Liu S; Jiang F; Wang L; Zhang J
Clin Radiol; 2023 Mar; 78(3):e279-e287. PubMed ID: 36623978
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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]
11. Prediction of Metastasis in the Axillary Lymph Nodes of Patients With Breast Cancer: A Radiomics Method Based on Contrast-Enhanced Computed Tomography.
Yang C; Dong J; Liu Z; Guo Q; Nie Y; Huang D; Qin N; Shu J
Front Oncol; 2021; 11():726240. PubMed ID: 34616678
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Deep learning radiomics for prediction of axillary lymph node metastasis in patients with clinical stage T1-2 breast cancer.
Wei W; Ma Q; Feng H; Wei T; Jiang F; Fan L; Zhang W; Xu J; Zhang X
Quant Imaging Med Surg; 2023 Aug; 13(8):4995-5011. PubMed ID: 37581073
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Development and Internal Validation of a Preoperative Prediction Model for Sentinel Lymph Node Status in Breast Cancer: Combining Radiomics Signature and Clinical Factors.
Wang C; Chen X; Luo H; Liu Y; Meng R; Wang M; Liu S; Xu G; Ren J; Zhou P
Front Oncol; 2021; 11():754843. PubMed ID: 34820327
[TBL] [Abstract][Full Text] [Related]
16. Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data.
Guo W; Li H; Zhu Y; Lan L; Yang S; Drukker K; Morris E; Burnside E; Whitman G; Giger ML; Ji Y;
J Med Imaging (Bellingham); 2015 Oct; 2(4):041007. PubMed ID: 26835491
[TBL] [Abstract][Full Text] [Related]
17. A Radiomics Model for Preoperative Predicting Sentinel Lymph Node Metastasis in Breast Cancer Based on Dynamic Contrast-Enhanced MRI.
Ma M; Jiang Y; Qin N; Zhang X; Zhang Y; Wang X; Wang X
Front Oncol; 2022; 12():884599. PubMed ID: 35734587
[TBL] [Abstract][Full Text] [Related]
18. Development and validation of a pre- and intra-operative scoring system that distinguishes between non-advanced and advanced axillary lymph node metastasis in breast cancer with positive sentinel lymph nodes: a retrospective study.
Murata T; Watase C; Shiino S; Kurita A; Ogawa A; Jimbo K; Iwamoto E; Yoshida M; Takayama S; Suto A
World J Surg Oncol; 2022 Sep; 20(1):314. PubMed ID: 36171615
[TBL] [Abstract][Full Text] [Related]
19. Radiomics Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging for the Prediction of Sentinel Lymph Node Metastasis in Breast Cancer.
Liu J; Sun D; Chen L; Fang Z; Song W; Guo D; Ni T; Liu C; Feng L; Xia Y; Zhang X; Li C
Front Oncol; 2019; 9():980. PubMed ID: 31632912
[No Abstract] [Full Text] [Related]
20. 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]
[Next] [New Search]