A logistic regression model predicting high axillary tumour burden in early breast cancer patients.
Israel Barco NebredaM García FontA García-FernándezN GiménezM FraileJ M LainE VallejoS GonzálezL CanalesJ DeuM C VidalM Rodríguez-CarballeiraA PessarrodonaC ChabreraPublished in: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico (2017)
Our LR model with its probability table can be used to define a subgroup of early BC patients suitable for axillary conservative procedures, either sparing completion lymph-node dissection or even SNB altogether.
Keyphrases
- lymph node
- sentinel lymph node
- end stage renal disease
- neoadjuvant chemotherapy
- ejection fraction
- newly diagnosed
- chronic kidney disease
- robot assisted
- prognostic factors
- peritoneal dialysis
- early stage
- prostate cancer
- randomized controlled trial
- rectal cancer
- clinical trial
- squamous cell carcinoma
- risk factors
- radiation therapy
- radical prostatectomy
- open label
- phase iii
- patient reported