216 related articles for article (PubMed ID: 37782338)
1. 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]
2. Radiomics nomogram for predicting axillary lymph node metastasis-a potential method to address the limitation of axilla coverage in cone-beam breast CT: a bi-center retrospective study.
Zhu Y; Ma Y; Zhang Y; Liu A; Wang Y; Zhao M; Li H; He N; Wu Y; Ye Z
Radiol Med; 2023 Dec; 128(12):1472-1482. PubMed ID: 37857980
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Prediction of the axillary lymph-node metastatic burden of breast cancer by
Li Y; Han D; Shen C
BMC Cancer; 2024 Jun; 24(1):704. PubMed ID: 38849770
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. Radiomics model of diffusion-weighted whole-body imaging with background signal suppression (DWIBS) for predicting axillary lymph node status in breast cancer.
Haraguchi T; Kobayashi Y; Hirahara D; Kobayashi T; Takaya E; Nagai MT; Tomita H; Okamoto J; Kanemaki Y; Tsugawa K
J Xray Sci Technol; 2023; 31(3):627-640. PubMed ID: 37038802
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 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]
14. A machine learning-based radiomics model for the prediction of axillary lymph-node metastasis in breast cancer.
Song BI
Breast Cancer; 2021 May; 28(3):664-671. PubMed ID: 33454875
[TBL] [Abstract][Full Text] [Related]
15. Prediction of Axillary Lymph Node Metastasis in Breast Cancer using Intra-peritumoral Textural Transition Analysis based on Dynamic Contrast-enhanced Magnetic Resonance Imaging.
Zhan C; Hu Y; Wang X; Liu H; Xia L; Ai T
Acad Radiol; 2022 Jan; 29 Suppl 1():S107-S115. PubMed ID: 33712393
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. The use of longitudinal CT-based radiomics and clinicopathological features predicts the pathological complete response of metastasized axillary lymph nodes in breast cancer.
Wang J; Tian C; Zheng BJ; Zhang J; Jiao DC; Qu JR; Liu ZZ
BMC Cancer; 2024 May; 24(1):549. PubMed ID: 38693523
[TBL] [Abstract][Full Text] [Related]
19. FDG PET/CT radiomics as a tool to differentiate between reactive axillary lymphadenopathy following COVID-19 vaccination and metastatic breast cancer axillary lymphadenopathy: a pilot study.
Eifer M; Pinian H; Klang E; Alhoubani Y; Kanana N; Tau N; Davidson T; Konen E; Catalano OA; Eshet Y; Domachevsky L
Eur Radiol; 2022 Sep; 32(9):5921-5929. PubMed ID: 35385985
[TBL] [Abstract][Full Text] [Related]
20. Imaging features of sentinel lymph node mapped by multidetector-row computed tomography lymphography in predicting axillary lymph node metastasis.
Ou X; Zhu J; Qu Y; Wang C; Wang B; Xu X; Wang Y; Wen H; Ma A; Liu X; Zou X; Wen Z
BMC Med Imaging; 2021 Dec; 21(1):193. PubMed ID: 34911489
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]