Development and Validation of a Nomogram Based on Metabolic Risk Score for Assessing Lymphovascular Space Invasion in Patients with Endometrial Cancer

Bibliographic Data

ID15466013
AuthorsJingyuan Wang (0009-0001-8310-1805, Peking University, corresponding author), Xingchen Li (0000-0003-3373-1670, Peking University), Xiao Yang (0009-0009-6059-6081, Peking University), Jianliu Wang (0000-0003-0338-0427, Peking University)
Year2022
Volume19
Issue23
Pages15654-15654
Publication date2022-11-25
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph192315654
PMID36497730
OpenAlexW4309936113
LanguageEN
References cited41

MRS-based nomograms are useful for predicting LVSI in patients with EC and may facilitate better clinical decision-making

Cancer · Cohort · Endometrial cancer · Framingham Risk Score · Logistic regression · Lymphovascular invasion · Metastasis · Nomogram · Endometrial and Cervical Cancer Treatments · Medicine · Pelvic and Acetabular Injuries · Pregnancy-related medical research · Internal Medicine · Oncology

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