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EP34.20: Diagnostic algorithm for uterine sarcoma identification: a one‐year interim analysis of a monocentric prospective, observational cohort study.

Authors :
Ciccarone, F.
Pasciuto, T.
Robba, E.
Mascilini, F.
Moro, F.
Manfredi, R.
Scambia, G.
Romualdi, D.
Testa, A.C.
Source :
Ultrasound in Obstetrics & Gynecology. Oct2019 Supplement S1, Vol. 54, p446-446. 1p.
Publication Year :
2019

Abstract

EP34.20: Diagnostic algorithm for uterine sarcoma identification: a one-year interim analysis of a monocentric prospective, observational cohort study In this 1-year interim analysis, we analysed 816 patients who were selected by MYLUNAR study criteria. By defining an accurate diagnostic algorithm in identifying patients with uterine sarcomas, MYLUNAR study may represent the guideline in the management of women with myometrial lesion. [Extracted from the article]

Details

Language :
English
ISSN :
09607692
Volume :
54
Database :
Academic Search Index
Journal :
Ultrasound in Obstetrics & Gynecology
Publication Type :
Academic Journal
Accession number :
138898446
Full Text :
https://doi.org/10.1002/uog.21810