A comparison of logistic regression and artificial neural networks in predicting central lymph node metastases in papillary thyroid microcarcinoma

Ozden S., Er S., Saylam B., Yildiz B. D., ŞENOL K., Tez M.

ANNALI ITALIANI DI CHIRURGIA, vol.89, no.3, pp.193-198, 2018 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 89 Issue: 3
  • Publication Date: 2018
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.193-198
  • Keywords: Artificial neural networks, Central lymph node metastasis, Logistic regression, Papillary thyroid microcarcinoma, NECK DISSECTION, CANCER, RISK, CARCINOMA, MORTALITY
  • Bursa Uludag University Affiliated: No


OBJECTIVE: Prophylactic central lymph node dissection(CLND) is a controversial issue in papillary thyroid microcarcinoma(PTMC) patients without lymphatic metastasis. Artificial neural network(ANN) has been proposed as an alternative statistical technique for predicting complex biologic phenomena. Our aim is to develop an ANN model in predicting central lymph node metastases(CLNM) in patients with PTMC, in comparison to traditional logistic regression(LR) analysis.