239 related articles for article (PubMed ID: 36249424)
1. Correlation Analysis of Pathological Features and Axillary Lymph Node Metastasis in Patients with Invasive Breast Cancer.
Chen H; Meng X; Hao X; Li Q; Tian L; Qiu Y; Chen Y
J Immunol Res; 2022; 2022():7150304. PubMed ID: 36249424
[TBL] [Abstract][Full Text] [Related]
2. Simple Prediction Model of Axillary Lymph Node Positivity After Analyzing Molecular and Clinical Factors in Early Breast Cancer.
Chung MJ; Lee JH; Kim SH; Suh YJ; Choi HJ
Medicine (Baltimore); 2016 May; 95(20):e3689. PubMed ID: 27196477
[TBL] [Abstract][Full Text] [Related]
3. Predictive factors associated with axillary lymph node metastases in T1a and T1b breast carcinomas: analysis in more than 900 patients.
Rivadeneira DE; Simmons RM; Christos PJ; Hanna K; Daly JM; Osborne MP
J Am Coll Surg; 2000 Jul; 191(1):1-6; discussion 6-8. PubMed ID: 10898177
[TBL] [Abstract][Full Text] [Related]
4. Breast MRI for prediction of lymphovascular invasion in breast cancer patients with clinically negative axillary lymph nodes.
Igarashi T; Furube H; Ashida H; Ojiri H
Eur J Radiol; 2018 Oct; 107():111-118. PubMed ID: 30292254
[TBL] [Abstract][Full Text] [Related]
5. Axillary lymph node metastasis in pure mucinous carcinoma of breast: clinicopathologic and ultrasonographic features.
Li N; Li JW; Qian Y; Liu YJ; Qi XZ; Chen YL; Gao Y; Chang C
BMC Med Imaging; 2024 May; 24(1):108. PubMed ID: 38745134
[TBL] [Abstract][Full Text] [Related]
6. Nomogram Based on Breast MRI and Clinicopathologic Features for Predicting Axillary Lymph Node Metastasis in Patients with Early-Stage Invasive Breast Cancer: A Retrospective Study.
Xue M; Che S; Tian Y; Xie L; Huang L; Zhao L; Guo N; Li J
Clin Breast Cancer; 2022 Jun; 22(4):e428-e437. PubMed ID: 34865995
[TBL] [Abstract][Full Text] [Related]
7. Early-stage invasive ductal carcinoma: Association of tumor apparent diffusion coefficient values with axillary lymph node metastasis.
Kim JY; Seo HB; Park S; Moon JI; Lee JW; Lee NK; Lee SW; Bae YT
Eur J Radiol; 2015 Nov; 84(11):2137-43. PubMed ID: 26318821
[TBL] [Abstract][Full Text] [Related]
8. Frequency and Predictors of Axillary Lymph Node Metastases in Iranian Women with Early Breast Cancer.
Sandoughdaran S; Malekzadeh M; Mohammad Esmaeil ME
Asian Pac J Cancer Prev; 2018 Jun; 19(6):1617-1620. PubMed ID: 29936787
[TBL] [Abstract][Full Text] [Related]
9. Preoperative Dynamic Contrast-Enhanced and Diffusion-Weighted Breast Magnetic Resonance Imaging Findings for Prediction of Lymphovascular Invasion of the Lesions in Node-Negative Invasive Breast Cancer.
Coşkun Bilge A; Yaltırık Bilgin E; Bulut ZM; Esen Bostancı I; Bilgin E
Can Assoc Radiol J; 2024 May; 75(2):386-396. PubMed ID: 38095635
[No Abstract] [Full Text] [Related]
10. Frequency and predictors of axillary lymph node metastases in invasive breast cancer.
Chua B; Ung O; Taylor R; Boyages J
ANZ J Surg; 2001 Dec; 71(12):723-8. PubMed ID: 11906387
[TBL] [Abstract][Full Text] [Related]
11. Predictors of axillary lymph node metastases in early breast cancer and their applicability in clinical practice.
Yoshihara E; Smeets A; Laenen A; Reynders A; Soens J; Van Ongeval C; Moerman P; Paridaens R; Wildiers H; Neven P; Christiaens MR
Breast; 2013 Jun; 22(3):357-61. PubMed ID: 23022046
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. The Breast Tumor Strain Ratio Is a Predictive Parameter for Axillary Lymph Node Metastasis in Patients With Invasive Breast Cancer.
Kim JY; Shin JK; Lee SH
AJR Am J Roentgenol; 2015 Dec; 205(6):W630-8. PubMed ID: 26587952
[TBL] [Abstract][Full Text] [Related]
14. Prediction of Axillary Lymph Node Metastasis in Early-stage Triple-Negative Breast Cancer Using Multiparametric and Radiomic Features of Breast MRI.
Song SE; Woo OH; Cho Y; Cho KR; Park KH; Kim JW
Acad Radiol; 2023 Sep; 30 Suppl 2():S25-S37. PubMed ID: 37331865
[TBL] [Abstract][Full Text] [Related]
15. Prediction model of axillary lymph node status using automated breast ultrasound (ABUS) and ki-67 status in early-stage breast cancer.
Wang Q; Li B; Liu Z; Shang H; Jing H; Shao H; Chen K; Liang X; Cheng W
BMC Cancer; 2022 Aug; 22(1):929. PubMed ID: 36031602
[TBL] [Abstract][Full Text] [Related]
16. Predictors of axillary lymph node metastases in patients with T1 breast carcinoma.
Barth A; Craig PH; Silverstein MJ
Cancer; 1997 May; 79(10):1918-22. PubMed ID: 9149018
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. Predictors of sentinel lymph node metastasis in Chinese women with clinical T1-T2 N0 breast cancer and a normal axillary ultrasound.
Fu F; Zhang Y; Sun J; Zhang C; Zhang D; Xie L; Chu F; Yu X; Xie Y
Acta Radiol; 2022 Nov; 63(11):1463-1468. PubMed ID: 34719964
[TBL] [Abstract][Full Text] [Related]
20. Role of diffusion-weighted MRI: predicting axillary lymph node metastases in breast cancer.
Chung J; Youk JH; Kim JA; Gweon HM; Kim EK; Ryu YH; Son EJ
Acta Radiol; 2014 Oct; 55(8):909-16. PubMed ID: 24234236
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]