These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
470 related articles for article (PubMed ID: 32976019)
1. 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]
2. Combining primary tumor features derived from conventional and contrast-enhanced ultrasound facilitates the prediction of positive axillary lymph nodes in Breast Imaging Reporting and Data System category 4 malignant breast lesions. Du Y; Yi CB; Du LW; Gong HY; Ling LJ; Ye XH; Zong M; Li CY Diagn Interv Radiol; 2023 May; 29(3):469-477. PubMed ID: 36994900 [TBL] [Abstract][Full Text] [Related]
3. Value of Contrast-Enhanced Ultrasound Combined with Immune-Inflammatory Markers in Predicting Axillary Lymph Node Metastasis of Breast Cancer. Song Y; Liu J; Jin C; Zheng Y; Zhao Y; Zhang K; Zhou M; Zhao D; Hou L; Dong F Acad Radiol; 2024 Sep; 31(9):3535-3545. PubMed ID: 38918153 [TBL] [Abstract][Full Text] [Related]
4. Diagnostic performance of T2-weighted imaging and intravoxel incoherent motion diffusion-weighted MRI for predicting metastatic axillary lymph nodes in T1 and T2 stage breast cancer. Liu Y; Luo H; Wang C; Chen X; Wang M; Zhou P; Ren J Acta Radiol; 2022 Apr; 63(4):447-457. PubMed ID: 33779304 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. Contrast-enhanced lymphatic US can improve the preoperative diagnostic performance for sentinel lymph nodes in early breast cancer. Niu Z; Gao Y; Xiao M; Mao F; Zhou Y; Zhu Q; Jiang Y Eur Radiol; 2023 Mar; 33(3):1593-1602. PubMed ID: 36152038 [TBL] [Abstract][Full Text] [Related]
7. Application of conventional ultrasonography combined with contrast-enhanced ultrasonography in the axillary lymph nodes and evaluation of the efficacy of neoadjuvant chemotherapy in breast cancer patients. Han X; Jin S; Yang H; Zhang J; Huang Z; Han J; He C; Guo H; Yang Y; Shan M; Zhang G Br J Radiol; 2021 Sep; 94(1125):20210520. PubMed ID: 34415197 [TBL] [Abstract][Full Text] [Related]
8. Contrast-Enhanced Ultrasound-Based Radiomics for the Prediction of Axillary Lymph Nodes Status in Breast Cancer. Lun H; Huang M; Zhao Y; Huang J; Li L; Cheng H; Leung Y; So H; Wong Y; Cheung C; So C; Chan LWC; Hu Q Cancer Rep (Hoboken); 2024 Oct; 7(10):e70011. PubMed ID: 39423311 [TBL] [Abstract][Full Text] [Related]
9. Value of Qualitative and Quantitative Contrast-Enhanced Ultrasound Analysis in Preoperative Diagnosis of Cervical Lymph Node Metastasis From Papillary Thyroid Carcinoma. Chen L; Chen L; Liu J; Wang B; Zhang H J Ultrasound Med; 2020 Jan; 39(1):73-81. PubMed ID: 31222782 [TBL] [Abstract][Full Text] [Related]
10. 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]
11. The value of quantitative shear wave elastography combined with conventional ultrasound in evaluating and guiding fine needle aspiration biopsy of axillary lymph node for early breast cancer: implication for axillary surgical stage. Liu X; Huang YN; Wu YL; Zhu XY; Xie ZM; Li J BMC Med Imaging; 2024 Aug; 24(1):229. PubMed ID: 39215218 [TBL] [Abstract][Full Text] [Related]
12. Correlation between the contrast-enhanced ultrasound image features and axillary lymph node metastasis of primary breast cancer and its diagnostic value. Xu H; Xu GL; Li XD; Su QH; Dong CZ Clin Transl Oncol; 2021 Jan; 23(1):155-163. PubMed ID: 32488804 [TBL] [Abstract][Full Text] [Related]
14. Predictive value for axillary lymph node metastases in early breast cancer: Based on contrast-enhanced ultrasound characteristics of the primary lesion and sentinel lymph node. Pang W; Wang Y; Zhu Y; Jia Y; Nie F Clin Hemorheol Microcirc; 2024; 86(3):357-367. PubMed ID: 37955082 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. The association between conventional ultrasound and contrast-enhanced ultrasound appearances and pathological features in small breast cancer. Chen J; Li CX; Shao SH; Yao MH; Su YJ; Wu R Clin Hemorheol Microcirc; 2022; 80(4):413-422. PubMed ID: 34842181 [TBL] [Abstract][Full Text] [Related]
17. A cutting-edge deep learning-and-radiomics-based ultrasound nomogram for precise prediction of axillary lymph node metastasis in breast cancer patients ≥ 75 years. Qian L; Liu X; Zhou S; Zhi W; Zhang K; Li H; Li J; Chang C Front Endocrinol (Lausanne); 2024; 15():1323452. PubMed ID: 39072273 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. Diffusion tensor imaging and diffusion-weighted imaging on axillary lymph node status in breast cancer patients. Kurt N; Binboga Kurt B; Gulsaran U; Uslu B; Celik AO; Sut N; Tastekin E; Karabulut D; Tuncbilek N Diagn Interv Radiol; 2022 Jul; 28(4):329-336. PubMed ID: 35950277 [TBL] [Abstract][Full Text] [Related]
20. Investigation of synthetic MRI with quantitative parameters for discriminating axillary lymph nodes status in invasive breast cancer. Qu M; Feng W; Liu X; Li Z; Li Y; Lu X; Lei J Eur J Radiol; 2024 Jun; 175():111452. PubMed ID: 38604092 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]