410 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. 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]
4. 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]
5. 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]
6. 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]
7. 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]
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. 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]
10. Redefining ultrasound appearance criteria of positive axillary lymph nodes.
Duchesne N; Jaffey J; Florack P; Duchesne S
Can Assoc Radiol J; 2005 Dec; 56(5):289-96. PubMed ID: 16579022
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 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]
14. 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]
15. 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]
16. 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]
17. Prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients.
Kim WH; Kim HJ; Lee SM; Cho SH; Shin KM; Lee SY; Lim JK
Cancer Imaging; 2019 Feb; 19(1):4. PubMed ID: 30709369
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Multi-modality morphological correlation of axillary lymph nodes.
Meinel LA; Abe H; Bergtholdt M; Ecanow J; Schmidt R; Newstead G
Int J Comput Assist Radiol Surg; 2010 Jul; 5(4):343-50. PubMed ID: 20443149
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
