Sentinel node status prediction by four statistical models: Results from a large bi-institutional series (n = 1132)

Annals of Surgery

Volumn 250, Issue 6, 2009, Pages 964-969

  Mocellin, Simone ^a   Thompson, John F ^b   Pasquali, Sandro ^a   Montesco, Maria C ^a   Pilati, Pierluigi ^a   Nitti, Donato ^a   Saw, Robyn P ^b   Scolyer, Richard A ^b   Stretch, Jonathan R ^b   Rossi, Carlo R ^a,c  

^a UNIVERSITY OF PADOVA   (Italy)

^b UNIVERSITY OF SYDNEY   (Australia)

^c VENETO INSTITUTE OF ONCOLOGY IOV IRCCS   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; CLASSIFICATION; FEMALE; HUMAN; LOGISTIC REGRESSION ANALYSIS; LYMPH NODE BIOPSY; MAJOR CLINICAL STUDY; MALE; MELANOMA; PATIENT SELECTION; PREDICTION; PRIORITY JOURNAL; RANDOM FOREST; SENTINEL LYMPH NODE; SKIN TUMOR; SUPPORT VECTOR MACHINE;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; FEMALE; HUMANS; MALE; MELANOMA; MIDDLE AGED; MODELS, STATISTICAL; NEOPLASM STAGING; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; SENTINEL LYMPH NODE BIOPSY; SKIN NEOPLASMS; YOUNG ADULT;

EID: 73449146631     PISSN: 00034932     EISSN: 15281140     Source Type: Journal    
DOI: 10.1097/SLA.0b013e3181b07ffd     Document Type: Article

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