Comparison of Mayo and Milwaukee Risk Stratification Models for Predicting Lymph Node Metastasis in Endometrial Cancer

G. Boyraz; F. Atalay; A. Erturk; C. Salman; M. Gultekin; N. Ozgul; U. Alp; K. Yuce

Comparison of Mayo and Milwaukee Risk Stratification Models for Predicting Lymph Node Metastasis in Endometrial Cancer

G. Boyraz
, F. Atalay
, A. Erturk
, C. Salman
, M. Gultekin
, N. Ozgul
, U. Alp
, K. Yuce

Research output: Contribution to journal › Meeting Abstract › peer-review

Original language	English
Pages (from-to)	1060-1060
Number of pages	1
Journal	International Journal of Gynecological Cancer
Volume	27
Publication status	Published - Nov 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Cite this

@article{b31d9b5318904f4d8ea52f7f520bc2d6,

title = "Comparison of Mayo and Milwaukee Risk Stratification Models for Predicting Lymph Node Metastasis in Endometrial Cancer",

author = "G. Boyraz and F. Atalay and A. Erturk and C. Salman and M. Gultekin and N. Ozgul and U. Alp and K. Yuce",

year = "2017",

month = nov,

language = "English",

volume = "27",

pages = "1060--1060",

journal = "International Journal of Gynecological Cancer",

issn = "1048-891X",

publisher = "Elsevier Inc.",

}

TY - JOUR

T1 - Comparison of Mayo and Milwaukee Risk Stratification Models for Predicting Lymph Node Metastasis in Endometrial Cancer

AU - Boyraz, G.

AU - Atalay, F.

AU - Erturk, A.

AU - Salman, C.

AU - Gultekin, M.

AU - Ozgul, N.

AU - Alp, U.

AU - Yuce, K.

PY - 2017/11

Y1 - 2017/11

UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=performanshacettepe&SrcAuth=WosAPI&KeyUT=WOS:000423235203153&DestLinkType=FullRecord&DestApp=WOS_CPL

M3 - Meeting Abstract

SN - 1048-891X

VL - 27

SP - 1060

EP - 1060

JO - International Journal of Gynecological Cancer

JF - International Journal of Gynecological Cancer

ER -

Comparison of Mayo and Milwaukee Risk Stratification Models for Predicting Lymph Node Metastasis in Endometrial Cancer

UN SDGs

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