164 related articles for article (PubMed ID: 34842181)
1. 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]
2. 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]
3. Correlation between Ultrasound Appearance of Small Breast Cancer and Axillary Lymph Node Metastasis.
Yu X; Hao X; Wan J; Wang Y; Yu L; Liu B
Ultrasound Med Biol; 2018 Feb; 44(2):342-349. PubMed ID: 29150365
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Correlation of Conventional Ultrasound Characteristics of Breast Tumors With Axillary Lymph Node Metastasis and Ki-67 Expression in Patients With Breast Cancer.
Zhang H; Sui X; Zhou S; Hu L; Huang X
J Ultrasound Med; 2019 Jul; 38(7):1833-1840. PubMed ID: 30480840
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Predicting Axillary Lymph Node Metastasis in Patients With Breast Invasive Ductal Carcinoma With Negative Axillary Ultrasound Results Using Conventional Ultrasound and Contrast-Enhanced Ultrasound.
Zhu AQ; Li XL; An LW; Guo LH; Fu HJ; Sun LP; Xu HX
J Ultrasound Med; 2020 Oct; 39(10):2059-2070. PubMed ID: 32367518
[TBL] [Abstract][Full Text] [Related]
9. A multivariable model of ultrasound and clinicopathological features for predicting axillary nodal burden of breast cancer: potential to prevent unnecessary axillary lymph node dissection.
Yang L; Gu Y; Wang B; Sun M; Zhang L; Shi L; Wang Y; Zhang Z; Yin Y
BMC Cancer; 2023 Dec; 23(1):1264. PubMed ID: 38129804
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Ultrasound Imaging for Detecting Metastasis to Level II and III Axillary Lymph Nodes after Axillary Lymph Node Dissection for Invasive Breast Cancer.
Lin X; An X; Xiang H; Pei X; Li A; Tang G
J Ultrasound Med; 2019 Nov; 38(11):2925-2934. PubMed ID: 30912182
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Ultrasound and clinicopathological characteristics of breast cancer for predicting axillary lymph node metastasis.
Bai X; Wang Y; Song R; Li S; Song Y; Wang H; Tong X; Wei W; Ruan L; Zhao Q
Clin Hemorheol Microcirc; 2023; 85(2):147-162. PubMed ID: 37694357
[TBL] [Abstract][Full Text] [Related]
14. The Relevance of Ultrasound Imaging of Suspicious Axillary Lymph Nodes and Fine-needle Aspiration Biopsy in the Post-ACOSOG Z11 Era in Early Breast Cancer.
Vijayaraghavan GR; Vedantham S; Kataoka M; DeBenedectis C; Quinlan RM
Acad Radiol; 2017 Mar; 24(3):308-315. PubMed ID: 27916595
[TBL] [Abstract][Full Text] [Related]
15. High-resolution ultrasonographic features of axillary lymph node metastasis in patients with breast cancer.
Choi YJ; Ko EY; Han BK; Shin JH; Kang SS; Hahn SY
Breast; 2009 Apr; 18(2):119-22. PubMed ID: 19297159
[TBL] [Abstract][Full Text] [Related]
16. Preoperative Axillary Ultrasound in the Selection of Patients With a Heavy Axillary Tumor Burden in Early-Stage Breast Cancer: What Leads to False-Positive Results?
Zhu Y; Zhou W; Jia XH; Huang O; Zhan WW
J Ultrasound Med; 2018 Jun; 37(6):1357-1365. PubMed ID: 29424451
[TBL] [Abstract][Full Text] [Related]
17. Ultrasound Features of Breast Cancer for Predicting Axillary Lymph Node Metastasis.
Guo Q; Dong Z; Zhang L; Ning C; Li Z; Wang D; Liu C; Zhao M; Tian J
J Ultrasound Med; 2018 Jun; 37(6):1354-1353. PubMed ID: 29119589
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Lymph Node Predictive Model with in Vitro Ultrasound Features for Breast Cancer Lymph Node Metastasis.
Han P; Yang H; Liu M; Cheng L; Wang S; Tong F; Liu P; Zhou B; Cao Y; Liu H; Wang C; Peng Y; Shen D; Wang S
Ultrasound Med Biol; 2020 Jun; 46(6):1395-1402. PubMed ID: 32146007
[TBL] [Abstract][Full Text] [Related]
20. [Analysis of detecting value of ultrasound and the clinic-pathological features of axillary metastasis in breast cancer].
Xin L; Chen L; Zhang H; Liu Q; Xu L; Wang B; Li T; Duan X; Liu Y
Zhonghua Wai Ke Za Zhi; 2014 Dec; 52(12):924-8. PubMed ID: 25622584
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
