title: Comparison of five different popular scoring systems to predict nonsentinel lymph node status in patients with metastatic sentinel lymph nodes: a tertiary care center experience.
abstract: Sentinel lymph node biopsy (SLNB) is the current standard of care for breast cancers with no clinically palpable axillary lymph nodes. Almost 50 % of sentinel lymph node positive patients have negative non-sentinel nodes and undergo non-therapeutic axillary dissection. Five different scoring systems, reported in the literature, were compared for their predictive ability of non-SLN involvement in patients with SLN positive breast cancer. 242 patients who underwent breast surgery and SLNB were included in the study. Of these, 70 who were confirmed to have SLN metastasis and received complementary ALND and constituted the final study population. The nomograms (MSKCC, M.D. Anderson Cancer Center, Tenon model, Stanford and Turkish) were statistically compared for their prediction of non-SLN metastasis (95 % confidence interval). We have determined only two clinicopathologic (multifocality and size of the primary tumor) situations which have a statistically significant association between SLN metastasis with using a multivariate logistic regression analysis. Multifocality (P = 0.001) and size of the primary tumor (P = 0.001) were associated with a higher probability of-SLN metastasis. No predictive model was constructed that showed good area under the curve (AUC) discrimination in the validation series. Currently published predictive models lack accuracy when applied to a different population. Multi-institutional heterogenic population studies are important to determine the exact combination of scoring systems and/or nomograms.
authors.affiliation: Department of Surgery, Gulhane Military Medical Academy, Etlik, 06018 Ankara, Turkey.
authors.forename: Ramazan
authors.initials: R
authors.lastname: Yıldız
authors.affiliation: Department of Surgery, Gulhane Military Medical Academy, Etlik, 06018 Ankara, Turkey.
authors.forename: Murat
authors.initials: M
authors.lastname: Urkan
authors.affiliation: Department of Surgery, Gulhane Military Medical Academy, Etlik, 06018 Ankara, Turkey.
authors.forename: Oğuz
authors.initials: O
authors.lastname: Hancerliogulları
authors.affiliation: Department of Surgery, Gulhane Military Medical Academy, Etlik, 06018 Ankara, Turkey.
authors.forename: Zafer
authors.initials: Z
authors.lastname: Kılbaş
authors.affiliation: Department of Surgery, Gulhane Military Medical Academy, Etlik, 06018 Ankara, Turkey.
authors.forename: Erkan
authors.initials: E
authors.lastname: Ozturk
authors.affiliation: Department of Surgery, Gulhane Military Medical Academy, Etlik, 06018 Ankara, Turkey.
authors.forename: Mustafa Oner
authors.initials: MO
authors.lastname: Mentes
authors.affiliation: Department of Surgery, Gulhane Military Medical Academy, Etlik, 06018 Ankara, Turkey.
authors.forename: Semih
authors.initials: S
authors.lastname: Gorgulu
keywords: Breast cancer; Nomogram; Nonsentinel lymph node status; Scoring system