141 related articles for article (PubMed ID: 30523819)
1. Bag of deep features for preoperative prediction of sentinel lymph node metastasis in breast cancer.
Luo J; Ning Z; Zhang S; Feng Q; Zhang Y
Phys Med Biol; 2018 Dec; 63(24):245014. PubMed ID: 30523819
[TBL] [Abstract][Full Text] [Related]
2. Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI.
Liu C; Ding J; Spuhler K; Gao Y; Serrano Sosa M; Moriarty M; Hussain S; He X; Liang C; Huang C
J Magn Reson Imaging; 2019 Jan; 49(1):131-140. PubMed ID: 30171822
[TBL] [Abstract][Full Text] [Related]
3. Preoperative prediction of sentinel lymph node metastasis in breast cancer based on radiomics of T2-weighted fat-suppression and diffusion-weighted MRI.
Dong Y; Feng Q; Yang W; Lu Z; Deng C; Zhang L; Lian Z; Liu J; Luo X; Pei S; Mo X; Huang W; Liang C; Zhang B; Zhang S
Eur Radiol; 2018 Feb; 28(2):582-591. PubMed ID: 28828635
[TBL] [Abstract][Full Text] [Related]
4. Deep Learning Signature Based on Staging CT for Preoperative Prediction of Sentinel Lymph Node Metastasis in Breast Cancer.
Yang X; Wu L; Ye W; Zhao K; Wang Y; Liu W; Li J; Li H; Liu Z; Liang C
Acad Radiol; 2020 Sep; 27(9):1226-1233. PubMed ID: 31818648
[TBL] [Abstract][Full Text] [Related]
5. Factors predicting non-sentinel lymph node metastasis in T1-2 invasive breast cancer with 1-2 axillary sentinel lymph node metastases: Presentation of Ondokuz Mayis scoring system.
Kuru B; Sullu Y; Yuruker S; Koray Bayrak I; Ozen N
J BUON; 2016; 21(5):1129-1136. PubMed ID: 27837614
[TBL] [Abstract][Full Text] [Related]
6. Dynamic contrast-enhanced and diffusion-weighted MRI of invasive breast cancer for the prediction of sentinel lymph node status.
Choi EJ; Youk JH; Choi H; Song JS
J Magn Reson Imaging; 2020 Feb; 51(2):615-626. PubMed ID: 31313393
[TBL] [Abstract][Full Text] [Related]
7. Pharmacokinetic parameters and radiomics model based on dynamic contrast enhanced MRI for the preoperative prediction of sentinel lymph node metastasis in breast cancer.
Liu M; Mao N; Ma H; Dong J; Zhang K; Che K; Duan S; Zhang X; Shi Y; Xie H
Cancer Imaging; 2020 Sep; 20(1):65. PubMed ID: 32933585
[TBL] [Abstract][Full Text] [Related]
8. Validation of Memorial Sloan-Kettering Cancer Center nomogram for prediction of non-sentinel lymph node metastasis in sentinel lymph node positive breast cancer patients an international comparison.
Kuo YL; Chen WC; Yao WJ; Cheng L; Hsu HP; Lai HW; Kuo SJ; Chen DR; Chang TW
Int J Surg; 2013; 11(7):538-43. PubMed ID: 23707626
[TBL] [Abstract][Full Text] [Related]
9. A Dutch Prediction Tool to Assess the Risk of Additional Axillary Non-Sentinel Lymph Node Involvement in Sentinel Node-Positive Breast Cancer Patients.
van den Hoven I; van Klaveren D; Voogd AC; Vergouwe Y; Tjan-Heijnen V; Roumen RM
Clin Breast Cancer; 2016 Apr; 16(2):123-30. PubMed ID: 26602438
[TBL] [Abstract][Full Text] [Related]
10. Preoperative diagnosis of sentinel lymph node (SLN) metastasis using 3D CT lymphography (CTLG).
Nakagawa M; Morimoto M; Takechi H; Tadokoro Y; Tangoku A
Breast Cancer; 2016 May; 23(3):519-24. PubMed ID: 25814093
[TBL] [Abstract][Full Text] [Related]
11. Additional Nodal Disease Prediction in Breast Cancer with Sentinel Lymph Node Metastasis Based on Clinicopathological Features.
Orsaria P; Caredda E; Genova F; Materazzo M; Capuano I; Vanni G; Granai AV; DE Majo A; Portarena I; Sileri P; Petrella G; Palombi L; Buonomo OC
Anticancer Res; 2018 Apr; 38(4):2109-2117. PubMed ID: 29599329
[TBL] [Abstract][Full Text] [Related]
12. Performance of four published risk models to predict sentinel lymph-node involvement in Australian women with early breast cancer.
Elmadahm A; Lord SJ; Hudson HM; Lee CK; Buizen L; Farshid G; Gebski VJ; Gill PG
Breast; 2018 Oct; 41():82-88. PubMed ID: 30007272
[TBL] [Abstract][Full Text] [Related]
13. Prediction of Extracapsular Invasion at Metastatic Sentinel Nodes and Non-sentinel Lymph Nodal Metastases by FDG-PET in Cases with Breast Cancer.
Fujii T; Yajima R; Tatsuki H; Kuwano H
Anticancer Res; 2016 Apr; 36(4):1785-9. PubMed ID: 27069160
[TBL] [Abstract][Full Text] [Related]
14. Prediction of additional lymph node involvement in breast cancer patients with positive sentinel lymph nodes.
Pohlodek K; Bozikova S; Meciarova I; Mucha V; Bartova M; Ondrias F
Neoplasma; 2016; 63(3):427-34. PubMed ID: 26925789
[TBL] [Abstract][Full Text] [Related]
15. [Risk factors of non-sentinel lymph node metastasis and performance of MSKCC nomogramin breast cancer patients with metastatic sentinel lymph node].
Huang J; Chen X; Fei X; Huang O; Wu J; Zong Y; Zhu L; He J; Chen W; Li Y; Shen K
Zhonghua Wai Ke Za Zhi; 2015 Dec; 53(12):941-6. PubMed ID: 26850667
[TBL] [Abstract][Full Text] [Related]
16. Predicting Non-sentinel Lymph Node Metastases in Patients with a Positive Sentinel Lymph Node After Neoadjuvant Chemotherapy.
Barron AU; Hoskin TL; Boughey JC
Ann Surg Oncol; 2018 Oct; 25(10):2867-2874. PubMed ID: 29956095
[TBL] [Abstract][Full Text] [Related]
17. Role of number of sentinel nodes in predicting non-sentinel node metastasis in breast cancer.
Dong LF; Xu SY; Long JP; Wan F; Chen YD
J Int Med Res; 2018 Feb; 46(2):828-835. PubMed ID: 29441833
[TBL] [Abstract][Full Text] [Related]
18. Minimal prognostic significance of sentinel lymph node metastasis in patients with cT1-2 and cN0 breast cancer.
Shigematsu H; Nishina M; Yasui D; Hirata T; Ozaki S
World J Surg Oncol; 2019 Feb; 17(1):41. PubMed ID: 30797231
[TBL] [Abstract][Full Text] [Related]
19. Total tumor load assessed by one-step nucleic acid amplification assay as an intraoperative predictor for non-sentinel lymph node metastasis in breast cancer.
Nabais C; Figueiredo J; Lopes P; Martins M; Araújo A
Breast; 2017 Apr; 32():33-36. PubMed ID: 28030783
[TBL] [Abstract][Full Text] [Related]
20. Intraoperative Nomograms, Based on One-Step Nucleic Acid Amplification, for Prediction of Non-sentinel Node Metastasis and Four or More Axillary Node Metastases in Breast Cancer Patients with Sentinel Node Metastasis.
Shimazu K; Sato N; Ogiya A; Sota Y; Yotsumoto D; Ishikawa T; Nakamura S; Kinoshita T; Tsuda H; Ohi Y; Akiyama F; Noguchi S
Ann Surg Oncol; 2018 Sep; 25(9):2603-2611. PubMed ID: 29978372
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
