Prediction of nodal metastasis and prognosis of breast cancer by ANN-based assessment of tumour size and p53, Ki-67 and steroid receptor expression

Anticancer Research

Volumn 33, Issue 9, 2013, Pages 3925-3934

  Mojarad, Shirin ^a   Venturini, Barbara ^b   Fulgenzi, Patrizia ^b   Papaleo, Renata ^b   Brisigotti, Massimo ^b   Monti, Franco ^b   Canuti, Debora ^b   Ravaioli, Alberto ^b   Woo, Lok ^a   Dlay, Satnam ^a   Sherbet, Gajanan V ^a,c  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b Infermi Hospital   (Italy)

^c INSTITUTE FOR MOLECULAR MEDICINE   (United States)

Author keywords

Artificial neural networks; Cancer prognosis; Ki 67; Oestrogen progesterone receptors; P53; Prediction of nodal status

Indexed keywords

ESTROGEN RECEPTOR; KI 67 ANTIGEN; MOLECULAR MARKER; PROGESTERONE RECEPTOR; PROTEIN P53; STEROID RECEPTOR;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; AXILLARY LYMPH NODE; BREAST CANCER; CANCER PROGNOSIS; CLINICAL ASSESSMENT; HUMAN; LYMPH NODE METASTASIS; MAJOR CLINICAL STUDY; PREDICTION; PREDICTIVE VALUE; PRIORITY JOURNAL; PROTEIN EXPRESSION; SENSITIVITY AND SPECIFICITY; TUMOR VOLUME;

ARTIFICIAL NEURAL NETWORKS; CANCER PROGNOSIS; KI-67; OESTROGEN/PROGESTERONE RECEPTORS; P53; PREDICTION OF NODAL STATUS;

BREAST NEOPLASMS; FEMALE; HUMANS; KI-67 ANTIGEN; LYMPHATIC METASTASIS; PROGNOSIS; RECEPTORS, ESTROGEN; RECEPTORS, PROGESTERONE; TUMOR MARKERS, BIOLOGICAL; TUMOR SUPPRESSOR PROTEIN P53;

EID: 84884991219     PISSN: 02507005     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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