title: [Logistic regression analysis for factors affecting  the successful rate of nano-carbon in sentinel lymph  node biopsy].
abstract: OBJECTIVE
  To explore the factors affecting the successful rate of nano-carbon in sentinel lymph node biopsy.
  
  
  METHODS
  A total of 270 patients with breast cancer, who were treated in First Affilitated Hospital of Henan University of Science and Technology from January 2013 to March 2015, were chosen and given sentinel lymph node biopsy (SLN) with nano-carbon, and the influencial factors were examined by logistic analysis.
  
  
  RESULTS
  Successful rate of biopsy, accuracy, sensitivity and false negative rate was 92.2%, 97.6%, 93.1% and 6.8%, respectively. Age, primary tumor lesions, body mass index, axillary lymph node status, number of SLN and pathological grade were the factors affetcing successful biopsy (all P<0.05), and body mass index, age, and number of SLN were three independent factors affecting the successful rate of biopsy (all P<0.05). The history of biopsy, tumor location, affected sides, injection sites and chemotherapy showed little effect on the successful rate of biopsy (all P> 0.05).
  
  
  CONCLUSIONS
  Nano-carbon tracer method is a reliable method in sentinel lymph node biopsy. The body mass index, age, and number of lymph node metastasis greatly impact the successful rate of biopsy.
authors.affiliation: Department III of General Surgery, First Affilitated Hospital of Henan University of Science and Technology, Luoyang Henan 471003, China.
authors.forename: Xinzheng
authors.initials: X
authors.lastname: Wang
authors.affiliation: Department III of General Surgery, First Affilitated Hospital of Henan University of Science and Technology, Luoyang Henan 471003, China.
authors.forename: Jinbiao
authors.initials: J
authors.lastname: Liu
authors.affiliation: Department III of General Surgery, First Affilitated Hospital of Henan University of Science and Technology, Luoyang Henan 471003, China.
authors.forename: Yongqiang
authors.initials: Y
authors.lastname: Hou
authors.affiliation: Department III of General Surgery, First Affilitated Hospital of Henan University of Science and Technology, Luoyang Henan 471003, China.
authors.forename: Ning
authors.initials: N
authors.lastname: Wang
authors.affiliation: Department III of General Surgery, First Affilitated Hospital of Henan University of Science and Technology, Luoyang Henan 471003, China.
authors.forename: Mingjun
authors.initials: M
authors.lastname: Wang
mesh_terms: D001365:Axilla; D001943:Breast Neoplasms / Q000175:diagnosis*; D002244:Carbon / Q000737:chemistry; D005260:Female; D006801:Humans; D016015:Logistic Models; D008198:Lymph Nodes / Q000473:pathology; D008207:Lymphatic Metastasis; D053758:Nanoparticles / Q000737:chemistry*; D020360:Neoadjuvant Therapy; D060787:Neoplasm Grading; D012680:Sensitivity and Specificity; D021701:Sentinel Lymph Node Biopsy
chemical_list: D002244:Carbon