z-logo
open-access-imgOpen Access
Predicting Lymph Node Involvement in Borderline Ovarian Tumors with a Quantitative Model and Nomogram: A Retrospective Cohort Study
Author(s) -
Menglei Zhang,
Fangyue Zhou,
Yuan He,
Xiang Tao,
Keqin Hua,
Jingxin Ding
Publication year - 2021
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 40
ISSN - 1179-1322
DOI - 10.2147/cmar.s287509
Subject(s) - nomogram , serous fluid , medicine , lymphadenectomy , logistic regression , lymph node , cohort , oncology , retrospective cohort study , ovarian cancer , multivariate analysis , radiology , cancer

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom