Predicting lymphatic drainage patterns and primary tumour location in patients with breast cancer

Breast Cancer Research and Treatment

Volumn 130, Issue 2, 2011, Pages 699-705

  Blumgart, Evan I ^a   Uren, Roger F ^b,c   Nielsen, Poul M F ^a,d   Nash, Martyn P ^a,d   Reynolds, Hayley M ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

^b UNIVERSITY OF SYDNEY   (Australia)

^c ROYAL PRINCE ALFRED HOSPITAL   (Australia)

^d UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Bayesian statistics; Breast cancer; Computer modelling; Lymphatic drainage; Sentinel lymph node biopsy

Indexed keywords

ANTIMONY TECHNETIUM SULFIDE TC 99M;

ARTICLE; AUSTRALIA; AXILLARY LYMPH NODE; BREAST CANCER; CANCER DIAGNOSIS; CANCER LOCALIZATION; CANCER PATIENT; CANCER THERAPY; COMPUTER PROGRAM; CONTROLLED STUDY; DATA BASE; FEMALE; FINITE ELEMENT ANALYSIS; HUMAN; INFERENTIAL STATISTICS; INFRACLAVICULAR LYMPH NODE; INTERNAL MAMMARY LYMPH NODE; INTERPECTORAL LYMPH NODE; LYMPH NODE; LYMPHATIC DRAINAGE; LYMPHOSCINTIGRAPHY; MAJOR CLINICAL STUDY; MALE; METASTASIS; PREDICTION; PRIMARY TUMOR; PRIORITY JOURNAL; PROBABILITY; STATISTICAL MODEL; SUPRACLAVICULAR LYMPH NODE; TRUNK;

BAYES THEOREM; BREAST; BREAST NEOPLASMS; COMPUTER SIMULATION; FEMALE; HUMANS; LIKELIHOOD FUNCTIONS; LYMPHATIC VESSELS; MODELS, BIOLOGICAL;

EID: 82955195774     PISSN: 01676806     EISSN: 15737217     Source Type: Journal    
DOI: 10.1007/s10549-011-1737-2     Document Type: Article

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