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For: Coutant C, Olivier C, Lambaudie E, Fondrinier E, Marchal F, Guillemin F, Seince N, Thomas V, Levêque J, Barranger E, Darai E, Uzan S, Houvenaeghel G, Rouzier R. Comparison of models to predict nonsentinel lymph node status in breast cancer patients with metastatic sentinel lymph nodes: a prospective multicenter study. J Clin Oncol 2009;27:2800-8. [PMID: 19349546 DOI: 10.1200/JCO.2008.19.7418] [Cited by in Crossref: 165] [Cited by in F6Publishing: 45] [Article Influence: 12.7] [Reference Citation Analysis]
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9 Jing Y, Deng W, Zhang H, Jiang Y, Dong Z, Fan F, Sun P. Development and Validation of a Prognostic Nomogram to Predict Cancer-Specific Survival in Adult Patients With Pineoblastoma. Front Oncol 2020;10:1021. [PMID: 32793463 DOI: 10.3389/fonc.2020.01021] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
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11 Nowikiewicz T, Wnuk P, Małkowski B, Kurylcio A, Kowalewski J, Zegarski W. Application of artificial neural networks for predicting presence of non-sentinel lymph node metastases in breast cancer patients with positive sentinel lymph node biopsies. Arch Med Sci 2017;13:1399-407. [PMID: 29181071 DOI: 10.5114/aoms.2016.57677] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 1.3] [Reference Citation Analysis]
12 Pusztai L. Gene expression profiling of breast cancer. Breast Cancer Res 2009;11 Suppl 3:S11. [PMID: 20030862 DOI: 10.1186/bcr2430] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 1.0] [Reference Citation Analysis]
13 Shimazu K, Sato N, Ogiya A, Sota Y, Yotsumoto D, Ishikawa T, Nakamura S, Kinoshita T, Tsuda H, Ohi Y, Akiyama F, Noguchi S. 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. Ann Surg Oncol 2018;25:2603-11. [PMID: 29978372 DOI: 10.1245/s10434-018-6633-0] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 2.8] [Reference Citation Analysis]
14 Liedtke C, Kolberg HC, Kerschke L, Görlich D, Bauerfeind I, Fehm T, Fleige B, Helms G, Lebeau A, Stäbler A, Schmatloch S, Hausschild M, Schwentner L, von Minckwitz G, Loibl S, Untch M, Kühn T. Systematic analysis of parameters predicting pathological axillary status (ypN0 vs. ypN+) in patients with breast cancer converting from cN+ to ycN0 through primary systemic therapy (PST). Clin Exp Metastasis 2018;35:777-83. [PMID: 30324492 DOI: 10.1007/s10585-018-9938-2] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 1.8] [Reference Citation Analysis]
15 Takada K, Kashiwagi S, Goto W, Asano Y, Takahashi K, Fujita H, Takashima T, Tomita S, Hirakawa K, Ohira M. Possibility of avoiding axillary lymph node dissection by immune microenvironment monitoring in preoperative chemotherapy for breast cancer. J Transl Med 2018;16:318. [PMID: 30454008 DOI: 10.1186/s12967-018-1692-3] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
16 Lee JK, Coutant C, Kim YC, Qi Y, Theodorescu D, Symmans WF, Baggerly K, Rouzier R, Pusztai L. Prospective comparison of clinical and genomic multivariate predictors of response to neoadjuvant chemotherapy in breast cancer. Clin Cancer Res 2010;16:711-8. [PMID: 20068086 DOI: 10.1158/1078-0432.CCR-09-2247] [Cited by in Crossref: 65] [Cited by in F6Publishing: 34] [Article Influence: 5.4] [Reference Citation Analysis]
17 Guo Z, Feng P, Chen X, Tang R, Yu Q. Developing Preoperative Nomograms to Predict Any-Stage and Stage III-IV Endometriosis in Infertile Women. Front Med (Lausanne) 2020;7:570483. [PMID: 33195317 DOI: 10.3389/fmed.2020.570483] [Reference Citation Analysis]
18 Peintinger F, Reitsamer R, Smidt ML, Kühn T, Liedtke C. Lymph Nodes in Breast Cancer - What Can We Learn from Translational Research? Breast Care (Basel) 2018;13:342-7. [PMID: 30498419 DOI: 10.1159/000492435] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
19 Guo X, Liu Z, Sun C, Zhang L, Wang Y, Li Z, Shi J, Wu T, Cui H, Zhang J, Tian J, Tian J. Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer. EBioMedicine 2020;60:103018. [PMID: 32980697 DOI: 10.1016/j.ebiom.2020.103018] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
20 Shan QY, Hu HT, Feng ST, Peng ZP, Chen SL, Zhou Q, Li X, Xie XY, Lu MD, Wang W, Kuang M. CT-based peritumoral radiomics signatures to predict early recurrence in hepatocellular carcinoma after curative tumor resection or ablation. Cancer Imaging. 2019;19:11. [PMID: 30813956 DOI: 10.1186/s40644-019-0197-5] [Cited by in Crossref: 44] [Cited by in F6Publishing: 40] [Article Influence: 14.7] [Reference Citation Analysis]
21 Yu Y, Wang Z, Wei Z, Yu B, Shen P, Yan Y, You W. Development and validation of nomograms for predicting axillary non-SLN metastases in breast cancer patients with 1-2 positive sentinel lymph node macro-metastases: a retrospective analysis of two independent cohorts. BMC Cancer 2021;21:466. [PMID: 33902502 DOI: 10.1186/s12885-021-08178-9] [Reference Citation Analysis]
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23 Guo D, Wang H, Lai X, Li J, Xie D, Zhen L, Jiang C, Li M, Liu X. Development and validation of a nomogram for predicting acute kidney injury after orthotopic liver transplantation. Ren Fail 2021;43:1588-600. [PMID: 34865599 DOI: 10.1080/0886022X.2021.2009863] [Reference Citation Analysis]
24 Frati A, Lesieur B, Benbara A, Bezu C, Uzan S, Rouzier R, Coutant C. [Clinicopathological and genomics predictors of response to neoadjuvant chemotherapy in breast cancer]. Gynecol Obstet Fertil 2010;38:475-80. [PMID: 20579923 DOI: 10.1016/j.gyobfe.2010.05.004] [Cited by in Crossref: 2] [Article Influence: 0.2] [Reference Citation Analysis]
25 Roses RE, Kumar R, Alavi A, Czerniecki BJ. The Role of Lymphatic Mapping and Sentinel Lymph Node Biopsy in the Staging of Breast Cancer. PET Clin 2009;4:265-76. [PMID: 27157099 DOI: 10.1016/j.cpet.2009.09.004] [Cited by in Crossref: 2] [Article Influence: 0.2] [Reference Citation Analysis]
26 Pazaiti A, Fentiman IS. Which patients need an axillary clearance after sentinel node biopsy? Int J Breast Cancer 2011;2011:195892. [PMID: 22295211 DOI: 10.4061/2011/195892] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 0.6] [Reference Citation Analysis]
27 Jin H, Shen X, Song W, Liu Y, Qi L, Zhang F. The Development of Nomograms to Predict Blastulation Rate Following Cycles of In Vitro Fertilization in Patients With Tubal Factor Infertility, Polycystic Ovary Syndrome, or Endometriosis. Front Endocrinol (Lausanne) 2021;12:751373. [PMID: 34803917 DOI: 10.3389/fendo.2021.751373] [Reference Citation Analysis]
28 Han X, Luo S, Liu B, Chen Y, Gao W, Wang Y, Liu X, Yu H, Zhang L, Ma G. Acute Angle of Multilobulated Contours Improves the Risk Classification of Thymomas. Front Med (Lausanne) 2021;8:744587. [PMID: 34660649 DOI: 10.3389/fmed.2021.744587] [Reference Citation Analysis]
29 Dai Y, Yu X, Wei J, Zeng F, Li Y, Yang X, Luo Q, Zhang Z. Metastatic status of sentinel lymph nodes in breast cancer determined with photoacoustic microscopy via dual-targeting nanoparticles. Light Sci Appl 2020;9:164. [PMID: 33014359 DOI: 10.1038/s41377-020-00399-0] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
30 Di Filippo F, Giannarelli D, Bouteille C, Bernet L, Cano R, Cunnick G, Sapino A. Elaboration of a nomogram to predict non sentinel node status in breast cancer patients with positive sentinel node, intra-operatively assessed with one step nucleic acid amplification method. J Exp Clin Cancer Res 2015;34:136. [PMID: 26538019 DOI: 10.1186/s13046-015-0246-2] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 1.4] [Reference Citation Analysis]
31 Tan EY, Ho B, Chen JJ, Ho PW, Teo C, Earnest A, Chan PM. Predictors of nonsentinel nodal involvement to aid intraoperative decision making in breast cancer patients with positive sentinel lymph nodes. ISRN Oncol 2011;2011:539503. [PMID: 22091423 DOI: 10.5402/2011/539503] [Reference Citation Analysis]
32 Bi X, Wang Y, Li M, Chen P, Zhou Z, Liu Y, Zhao T, Zhang Z, Wang C, Sun X, Qiu P. Validation of the Memorial Sloan Kettering Cancer Center nomogram for predicting non-sentinel lymph node metastasis in sentinel lymph node-positive breast-cancer patients. Onco Targets Ther 2015;8:487-93. [PMID: 25750542 DOI: 10.2147/OTT.S78903] [Cited by in Crossref: 1] [Cited by in F6Publishing: 7] [Article Influence: 0.1] [Reference Citation Analysis]
33 Huang Z, Sun B, Wu S, Meng X, Cong Y, Shen G, Song S. A nomogram for predicting survival in patients with breast cancer brain metastasis. Oncol Lett 2018;15:7090-6. [PMID: 29725432 DOI: 10.3892/ol.2018.8259] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 1.8] [Reference Citation Analysis]
34 Chen LD, Ruan SM, Liang JY, Yang Z, Shen SL, Huang Y, Li W, Wang Z, Xie XY, Lu MD, Kuang M, Wang W. Differentiation of intrahepatic cholangiocarcinoma from hepatocellular carcinoma in high-risk patients: A predictive model using contrast-enhanced ultrasound. World J Gastroenterol 2018; 24(33): 3786-3798 [PMID: 30197484 DOI: 10.3748/wjg.v24.i33.3786] [Cited by in CrossRef: 14] [Cited by in F6Publishing: 14] [Article Influence: 3.5] [Reference Citation Analysis]
35 Sun X, Zhang Y, Wu S, Fu L, Yun JP, Wang YS. Intraoperative Prediction Of Non-Sentinel Lymph Node Metastasis Based On The Molecular Assay In Breast Cancer Patients. Cancer Manag Res 2019;11:9715-23. [PMID: 31814766 DOI: 10.2147/CMAR.S226733] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
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37 Zhao YX, Liu YR, Xie S, Jiang YZ, Shao ZM. A Nomogram Predicting Lymph Node Metastasis in T1 Breast Cancer based on the Surveillance, Epidemiology, and End Results Program. J Cancer 2019;10:2443-9. [PMID: 31258749 DOI: 10.7150/jca.30386] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
38 Gu X, Xie M, Luo Y, Song X, Xu S, Fan X. Diffuse pattern, orbital invasion, perineural invasion and Ki-67 are associated with nodal metastasis in patients with eyelid sebaceous carcinoma. Br J Ophthalmol. [DOI: 10.1136/bjophthalmol-2021-320547] [Reference Citation Analysis]
39 Terrier C, Tariel O, Coutant C, De Saint Hilaire P, Devouassoux M, Rudigoz RC, Dubernard G. [Comparison of three models to predict non-sentinel lymph node status in breast cancer patients with metastatic sentinel lymph nodes: a retrospective study of 77 patients]. J Gynecol Obstet Biol Reprod (Paris) 2012;41:227-34. [PMID: 22464015 DOI: 10.1016/j.jgyn.2012.02.006] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
40 Rouzier R, Uzan C, Rousseau A, Guillot E, Zilberman S, Meyer C, Estevez P, Dupre PF, Kere D, Doridot V, D'halluin G, Fritel X, Pouget N, Jankowski C, Mazouni C, Simon T, Coutant C. Multicenter prospective evaluation of the reliability of the combined use of two models to predict non-sentinel lymph node status in breast cancer patients with metastatic sentinel lymph nodes: the MSKCC nomogram and the Tenon score. Results of the NOTEGS study. Br J Cancer 2017;116:1135-40. [PMID: 28324891 DOI: 10.1038/bjc.2017.47] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.2] [Reference Citation Analysis]
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42 Straver ME, Meijnen P, van Tienhoven G, van de Velde CJ, Mansel RE, Bogaerts J, Duez N, Cataliotti L, Klinkenbijl JH, Westenberg HA. Sentinel node identification rate and nodal involvement in the EORTC 10981-22023 AMAROS trial. Ann Surg Oncol. 2010;17:1854-1861. [PMID: 20300966 DOI: 10.1245/s10434-010-0945-z] [Cited by in Crossref: 147] [Cited by in F6Publishing: 132] [Article Influence: 12.3] [Reference Citation Analysis]
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44 Liu D, Li X, Lan Y, Zhang L, Wu T, Cui H, Li Z, Sun P, Tian P, Tian J. Models for Predicting Sentinel and Non-sentinel Lymph Nodes Based on Pre-operative Ultrasonic Breast Imaging to Optimize Axillary Strategies. Ultrasound Med Biol 2021;47:3101-10. [PMID: 34362583 DOI: 10.1016/j.ultrasmedbio.2021.06.014] [Reference Citation Analysis]
45 Luo WQ, Huang QX, Huang XW, Hu HT, Zeng FQ, Wang W. Predicting Breast Cancer in Breast Imaging Reporting and Data System (BI-RADS) Ultrasound Category 4 or 5 Lesions: A Nomogram Combining Radiomics and BI-RADS. Sci Rep 2019;9:11921. [PMID: 31417138 DOI: 10.1038/s41598-019-48488-4] [Cited by in Crossref: 20] [Cited by in F6Publishing: 14] [Article Influence: 6.7] [Reference Citation Analysis]
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50 Nowikiewicz T, Kurylcio A, Głowacka-Mrotek I, Szymankiewicz M, Nowikiewicz M, Zegarski W. Clinical relevance of a degree of extracapsular extension in a sentinel lymph node in breast cancer patients: a single-centre study. Sci Rep 2021;11:8982. [PMID: 33903665 DOI: 10.1038/s41598-021-88351-z] [Reference Citation Analysis]
51 Moorman AM, Rutgers EJT, Kouwenhoven EA. Omitting SLNB in Breast Cancer: Is a Nomogram the Answer? Ann Surg Oncol 2021. [PMID: 34739639 DOI: 10.1245/s10434-021-11007-9] [Reference Citation Analysis]
52 Andersson Y, Frisell J, de Boniface J, Bergkvist L. Prediction of non-sentinel lymph node status in breast cancer patients with sentinel lymph node metastases: evaluation of the tenon score. Breast Cancer (Auckl) 2012;6:31-8. [PMID: 22346360 DOI: 10.4137/BCBCR.S8642] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 0.2] [Reference Citation Analysis]
53 Cao Y, Peng T, Li H, Yang M, Wu L, Zhou Z, Zhang X, Han S, Bao H, Cai K, Zhao N. Development and validation of MMR prediction model based on simplified clinicopathological features and serum tumour markers. EBioMedicine 2020;61:103060. [PMID: 33096478 DOI: 10.1016/j.ebiom.2020.103060] [Reference Citation Analysis]
54 Verheuvel NC, Voogd AC, Tjan-Heijnen VCG, Siesling S, Roumen RMH. Different outcome in node-positive breast cancer patients found by axillary ultrasound or sentinel node procedure. Breast Cancer Res Treat 2017;165:555-63. [PMID: 28656490 DOI: 10.1007/s10549-017-4342-1] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 1.2] [Reference Citation Analysis]
55 Liu J, Sun D, Chen L, Fang Z, Song W, Guo D, Ni T, Liu C, Feng L, Xia Y, Zhang X, Li C. Radiomics Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging for the Prediction of Sentinel Lymph Node Metastasis in Breast Cancer. Front Oncol. 2019;9:980. [PMID: 31632912 DOI: 10.3389/fonc.2019.00980] [Cited by in Crossref: 23] [Cited by in F6Publishing: 22] [Article Influence: 7.7] [Reference Citation Analysis]
56 Liedtke C, Görlich D, Bauerfeind I, Fehm T, Fleige B, Helms G, Lebeau A, Staebler A, Ataseven B, Denkert C, Gerber B, Heil J, Krug D, Kümmel S, Schwentner L, von Minckwitz G, Loibl S, Untch M, Kühn T. Validation of a Nomogram Predicting Non-Sentinel Lymph Node Metastases among Patients with Breast Cancer after Primary Systemic Therapy - a transSENTINA Substudy. Breast Care (Basel) 2018;13:440-6. [PMID: 30800039 DOI: 10.1159/000489565] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
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