PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Precision and Future Medicine10.23838/pfm.2021.00079202154190-198Predictive value of chest computed tomography for axillary lymph node metastasis in patients with breast cancer: A retrospective cohort studyChohee Kim, Myung Jin Chung, Semin Chonghttp://pfmjournal.org/upload/pdf/pfm-2021-00079.pdf, http://pfmjournal.org/journal/view.php?doi=10.23838/pfm.2021.00079, http://pfmjournal.org/upload/pdf/pfm-2021-00079.pdf
Frontiers in Oncology10.3389/fonc.2021.621967202111Commentary: Predictive Value of Preoperative Multidetector-Row Computed Tomography for Axillary Lymph Nodes Metastasis in Patients with Breast CancerJulie Cox, Jonathan Spratthttps://www.frontiersin.org/articles/10.3389/fonc.2021.621967/full
International Journal of Surgery10.1016/j.ijsu.2016.09.01520163558-63Application of a predictive model of axillary lymph node status in patients with sentinel node metastasis from breast cancer. A retrospective cohort studySalvatore Vieni, Giuseppa Graceffa, Roberta La Mendola, Stefania Latteri, Adriana Cordova, Mario Adelfio Latteri, Calogero Cipollahttps://api.elsevier.com/content/article/PII:S1743919116308639?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1743919116308639?httpAccept=text/plain
10.21203/rs.3.rs-2314823/v12022Deep Learning Radiomics Nomogram Based on Multiphase Computed Tomography for Predicting Axillary Lymph Node Metastasis in Breast CancerJieqiu Zhang, Wei Yin, Zhengyan Cheng, Xiaopeng Yaohttps://www.researchsquare.com/article/rs-2314823/v1, https://www.researchsquare.com/article/rs-2314823/v1.html
Breast Diseases: A Year Book Quarterly10.1016/j.breastdis.2015.07.0072015263225-226Treatment and Survival of Patients With Occult Breast Cancer With Axillary Lymph Node Metastasis: A Nationwide Retrospective StudyE.S. Bloomhttps://api.elsevier.com/content/article/PII:S1043321X15001332?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1043321X15001332?httpAccept=text/plain
Diagnostics10.3390/diagnostics120409972022124997Predictive Value of 18F-FDG PET/CT-Based Radiomics Model for Occult Axillary Lymph Node Metastasis in Clinically Node-Negative Breast CancerKun Chen, Guotao Yin, Wengui Xuhttps://www.mdpi.com/2075-4418/12/4/997/pdf
Asian Journal of Surgery10.1016/j.asjsur.2019.02.0112020431193-200Factors affecting the negative predictive value of positron emission tomography/computed tomography for axillary lymph node staging in breast cancer patientsJungbin Kim, Hyunjin Cho, Geumhee Gwak, Keunho Yang, Ji-Young Kim, Young-Joo Shin, Ye Young Seo, Inseok Parkhttps://api.elsevier.com/content/article/PII:S1015958418308765?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1015958418308765?httpAccept=text/plain
International Journal of Surgery10.1016/j.ijsu.2016.01.00620162551Peer review report 1 on “Predictive factors for the occurrence of four or more axillary lymph node metastases in ER-positive and HER2-negative breast cancer patients with positive sentinel node: A retrospective cohort study”Sam Leinsterhttps://api.elsevier.com/content/article/PII:S1743919116000091?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1743919116000091?httpAccept=text/plain
Breast Cancer Research10.1186/bcr2292200911S1Prognostic value HER-2/neu expression in T1 to T3 breast cancer with axillary lymph node metastasisS Maksimovichttp://link.springer.com/content/pdf/10.1186/bcr2292.pdf, http://link.springer.com/article/10.1186/bcr2292/fulltext.html, http://link.springer.com/content/pdf/10.1186/bcr2292.pdf
European Journal of Cancer Supplements10.1016/s1359-6349(10)70608-x201083230587 Diagnostic and prognostic value of 18F-fluorodeoxyglucose positron emission tomography/computed tomography fusion imaging (18F-FDG PET/CT) in detecting multifocality and axillary lymph node metastasis and correlation of clinicopathologic factors in primary breast cancerB.S. Kwakhttps://api.elsevier.com/content/article/PII:S135963491070608X?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S135963491070608X?httpAccept=text/plain