Bychkovsky BL, Lin NU (2017) Imaging in the evaluation and follow-up of early and advanced breast cancer: When, why, and how often? Breast 1(31):318–324
Hahn EE, Tang T, Lee JS, Munoz-Plaza CE, Shen E, Rowley B et al (2016) Use of posttreatment imaging and biomarkers in survivors of early-stage breast cancer: Inappropriate surveillance or necessary care? Cancer 122(6):908–916
Kast K, Link T, Friedrich K, Petzold A, Niedostatek A, Schoffer O et al (2015) Impact of breast cancer subtypes and patterns of metastasis on outcome. Breast Cancer Res Treat 150(3):621–629
Article CAS PubMed Google Scholar
Van Mechelen M, Van Herck A, Punie K, Nevelsteen I, Smeets A, Neven P et al (2020) Behavior of metastatic breast cancer according to subtype. Breast Cancer Res Treat 181(1):115–125
Wu Q, Li J, Zhu S, Wu J, Chen C, Liu Q et al (2017) Breast cancer subtypes predict the preferential site of distant metastases: A SEER based study. Oncotarget 8(17):27990–27996
Article PubMed PubMed Central Google Scholar
Veys I (2018) Follow-up of breast cancer patients by general practitioner. Rev Med Brux 39(4):280–286
Malmgren J, Hurlbert M, Atwood M, Henry M, Kaplan G, Kaplan HG (2019) Examination of a paradox: recurrent metastatic breast cancer incidence decline without improved distant disease survival 1990–2011. Breast Cancer Res Treat 174(2):505–514
Ebner F, Wöckel A, Schwentner L, Blettner M, Janni W, Kreienberg R et al (2019) Does the number of removed axillary lymphnodes in high risk breast cancer patients influence the survival? BMC Cancer 19:1. https://doi.org/10.1186/s12885-019-5292-2
Schwentner L, Wöckel A, König J, Janni W, Ebner F, Blettner M, et al. Adherence to treatment guidelines and survival in triple-negative breast cancer: a retrospective multi-center cohort study with 9156 patients. 2013. http://www.biomedcentral.com/1471-2407/13/487
Wolters R, Wöckel A, Janni W, Novopashenny I, Ebner F, Kreienberg R et al (2013) Comparing the outcome between multicentric and multifocal breast cancer: What is the impact on survival, and is there a role for guideline-adherent adjuvant therapy? A retrospective multicenter cohort study of 8,935 patients. Breast Cancer Res Treat 142(3):579–590
Article CAS PubMed Google Scholar
Schouten LJ, Jager JJ, Van Den Brandt PA, Schouten LJ (1993) Quality of cancer registry data: a comparison of data provided by clinicians with those of registration personnel. Br J Cancer 68:1
Goldhirsch A, Wood WC, Coates AS, Gelber RD, Thürlimann B, Senn HJ (2011) Strategies for subtypes–dealing with the diversity of breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011. Ann Oncol Off J Eur Soc Med Oncol 22(8):1736–1747
Lips EH, Mulder L, De Ronde JJ, Mandjes IAM, Koolen BB, Wessels LFA et al (2013) Breast cancer subtyping by immunohistochemistry and histological grade outperforms breast cancer intrinsic subtypes in predicting neoadjuvant chemotherapy response. Breast Cancer Res Treat 140(1):63–71
Article CAS PubMed PubMed Central Google Scholar
Von Minckwitz G, Untch M, Blohmer JU, Costa SD, Eidtmann H, Fasching PA et al (2012) Definition and impact of pathologic complete response on prognosis after neoadjuvant chemotherapy in various intrinsic breast cancer subtypes. J Clin Oncol 30(15):1796–1804
Ehinger A, Malmström P, Bendahl PO, Elston CW, Falck AK, Forsare C et al (2017) Histological grade provides significant prognostic information in addition to breast cancer subtypes defined according to St Gallen 2013. Acta Oncol 56(1):68–74
Article CAS PubMed Google Scholar
Li J, Chen Z, Su K, Zeng J (2015) Clinicopathological classification and traditional prognostic indicators of breast cancer. Int J Clin Exp Pathol 8(7):8500
PubMed PubMed Central Google Scholar
Wischnewsky M, Schwentner L, Diessner JD, De Gregorio A, Joukhadar R, Davut D et al (2021) BRENDA-Score, a Highly Significant, Internally and Externally Validated Prognostic Marker for Metastatic Recurrence: Analysis of 10,449 Primary Breast Cancer Patients. Cancers (Basel) 13:13
Heagerty PJ, Lumley T, Pepe MS (2000) Time-dependent ROC curves for censored survival data and a diagnostic marker. Biometrics 56(2):337–344
Article CAS PubMed Google Scholar
Leitlinienprogramm Onkologie (Deutsche Krebsgesellschaft, Deutsche Krebshilfe A. S3-Leitlinie Früherkennung, Diagnose, Therapie und Nachsorge des Mammakarzinoms, Leitlinienreport 4.1 https://www.leitlinienprogramm-onkologie.de/leitlinien/mammakarzinom/. 2019 [cited 2020 Oct 20]. p. 1–422. http://www.leitlinienprogramm-onkologie.de/fileadmin/user_upload/Downloads/Leitlinien/Mammakarzinom_4_0/LL_Mammakarzinom_Langversion_Konsultationsfassung_Version_0.4.1.pdf
Chu J, Yang D, Wang L, Xia J (2020) Nomograms predicting survival for all four subtypes of breast cancer: a SEER-based population study. Ann Transl Med 8(8):544–544
Article CAS PubMed PubMed Central Google Scholar
Lin M, Jin Y, Jin J, Wang B, Hu X, Zhang J et al (2020) A risk stratification model for predicting brain metastasis and brain screening benefit in patients with metastatic triple-negative breast cancer. Cancer Med 1:1–12
Wang Y, Yang Y, Chen Z, Zhu T, Wu J, Su F et al (2019) Development and validation of a novel nomogram for predicting distant metastasis-free survival among breast cancer patients. Ann Transl Med 7(20):537–537
Article CAS PubMed PubMed Central Google Scholar
Giess CS, Poole PS, Chikarmane SA, Sippo DA, Birdwell RL (2015) Screening Breast MRI in Patients Previously Treated for Breast Cancer: Diagnostic Yield for Cancer and Abnormal Interpretation Rate. Acad Radiol 22(11):1331–1337
Kwon M, Ko EY, Han B-K, Ko ES, Choi JS, Park KW (2020) Diagnostic performance of abbreviated breast MRI for screening of women with previously treated breast cancer. Medicine (Baltimore) 99(16):e19676
Article CAS PubMed Google Scholar
Cheng FT-F, Lapke N, Wu C-C, Lu Y-J, Chen S-J, Yu P-N, et al. Liquid Biopsy Detects Relapse Five Months Earlier than Regular Clinical Follow-Up and Guides Targeted Treatment in Breast Cancer. Case Rep Oncol Med 2019; 2019:1–4
Lin Z, Yan S, Zhang J, Pan Q (2018) A nomogram for distinction and potential prediction of liver metastasis in breast cancer patients. J Cancer 9(12):2098–2106
Article PubMed PubMed Central Google Scholar
Voelkel V, Draeger T, Groothuis-Oudshoorn CGMM, de Munck L, Hueting T, Gerken M et al (2019) Predicting the risk of locoregional recurrence after early breast cancer: an external validation of the Dutch INFLUENCE-nomogram with clinical cancer registry data from Germany. J Cancer Res Clin Oncol 145(7):1823–1833
Article PubMed PubMed Central Google Scholar
Zhao YX, Liu YR, Xie S, Jiang YZ, Shao ZM (2019) A nomogram predicting lymph node metastasis in t1 breast cancer based on the surveillance, epidemiology, and end results program. J Cancer 10(11):2443–2449
Article PubMed PubMed Central Google Scholar
Lin S, Mo H, Li Y, Guan X, Chen Y, Wang Z et al (2020) Development and validation of a nomogram for predicting survival of advanced breast cancer patients in China. Breast 53:172–180. https://doi.org/10.1016/j.breast.2020.08.004
Article PubMed PubMed Central Google Scholar
Takada M, Sugimoto M, Masuda N, Iwata H, Kuroi K, Yamashiro H et al (2018) Prediction of postoperative disease-free survival and brain metastasis for HER2-positive breast cancer patients treated with neoadjuvant chemotherapy plus trastuzumab using a machine learning algorithm. Breast Cancer Res Treat 172(3):611–618
Article CAS PubMed Google Scholar
Graesslin O, Abdulkarim BS, Coutant C, Huguet F, Gabos Z, Hsu L et al (2010) Nomogram to predict subsequent brain metastasis in patients with metastatic breast cancer. J Clin Oncol 28(12):2032–2037
Chu X, Li S, Xia B, Chu L, Yang X, Ni J et al (2019) Patterns of brain metastasis immediately before prophylactic cranial irradiation (PCI): Implications for PCI optimization in limited-stage small cell lung cancer. Radiat Oncol 14:1
Yu J, Ouyang W, Yang Y, Zhang X, Zhou Y, Zhang J et al (2020) Prophylactic cranial irradiation for extensive-stage small cell lung cancer: Analysis based on active brain MRI surveillance. Clin Transl Radiat Oncol 25:16–21
Article PubMed PubMed Central Google Scholar
Delpech Y, Bashour SI, Lousquy R, Rouzier R, Hess K, Coutant C et al (2015) Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma. Br J Cancer 113(7):1003–1009
Article CAS PubMed PubMed Central Google Scholar
Witteveen A, Vliegen IMH, Sonke GS, Klaase JM, IJzerman MJ, Siesling S (2015) Personalisation of breast cancer follow-up: a time-dependent prognostic nomogram for the estimation of annual risk of locoregional recurrence in early breast cancer patients. Breast Cancer Res Treat 152(3):627–636
Article PubMed PubMed Central Google Scholar
Saltbæk L, Horsboel TA, Offersen BV, Andersson M, Friberg AS, Skriver SK et al (2020) Patterns in detection of recurrence among patients treated for breast cancer. Breast Cancer Res Treat 184(2):365–373
Ricci-Cabello I, Vásquez-Mejía A, Canelo-AybarC,Niño De Guzman E, Pérez-Bracchiglione J, Rabassa M, et al (2020) Adherence to breast cancer guidelines is associated with better survival outcomes: A systematic review and meta-analysis of observational studies in EU countries. BMC Health Serv Res 20:1
Cardoso F, Kyriakides S, Ohno S, Penault-Llorca F, Poortmans P, Rubio IT et al (2019) Early breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol 30(8):1194–1220
Article CAS PubMed Google Scholar
Høeg BL, Bidstrup PE, Karlsen RV, Friberg AS, Albieri V, Dalton SO et al (2019) Follow-up strategies following completion of primary cancer treatment in adult cancer survivors. Cochrane Database Syst Rev. https://doi.org/10.1002/14651858.CD012425.pub2
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