Accuracy of morphological uterus sonographic assessment (MUSA) based on the number of features involved in patients with adenomyosis / (Record no. 12761)

MARC details
000 -LEADER
fixed length control field 03156nam a22002657a 4500
001 - CONTROL NUMBER
control field R000713
003 - CONTROL NUMBER IDENTIFIER
control field PILC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240718144549.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240718b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Language of cataloging eng
Transcribing agency FEU-NRMF MEDICAL LIBRARY
Modifying agency rda
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number OB 2023 0001
245 ## - TITLE STATEMENT
Title Accuracy of morphological uterus sonographic assessment (MUSA) based on the number of features involved in patients with adenomyosis /
Remainder of title [investigator]: Santos, Catherine T. [supervising investigator]: Medina-Calma, Jessica
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Fairview, Quezon City:
Name of publisher, distributor, etc. Department of Obstetrics & Gynecology, FEU-NRMF,
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Dimensions (in folder)
Accompanying material with flash drive (soft copy)
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Includes bibliographical references
520 ## - SUMMARY, ETC.
Summary, etc. ABSTRACT:<br/>Background: Ultrasound has been the first-line modality in diagnosing adenomyosis. Using the Morphological Uterus Sonographic Assessment (MUSA) in ultrasound may help in accurately predicting adenomyosis based on the characteristic features and<br/>number of features present.<br/><br/>Objective: To determine the accuracy of ultrasound based on the number of MUSA features in women diagnosed with adenomyosis.<br/><br/>Methodology: This is a 4-year retrospective cross-sectional study in a tertiary hospital. All ultrasound reports with findings of adenomyosis were retrieved and searched in the OB-GYN census. Only women diagnosed with adenomyosis by ultrasound and<br/>underwent surgery were included. Data such as age, gravidity, parity, type of surgery, histopathologic result, and the number of MUSA features were gathered. The sensitivity, specificity, negative predictive value, positive predictive value, and likelihood ratio of single and combined features of MUSA in diagnosing adenomyosis were calculated.<br/><br/>Result: Thirty-five cases were diagnosed with adenomyosis by ultrasound, with a mean age of 46.46 + 5.7 years old. Out of the 35 cases, only 28 were found to have adenomyosis based on histopathology report. The presence of asymmetrical myometrial walls yielded the highest diagnostic accuracy of 82.86%. Asymmetrical myometrial walls had the highest sensitivity (92.86%), while anechoic cyst had the highest specificity of 100.00%. There is a decreasing trend in accuracy levels, as more MUSA features were combined. The following accuracy levels were noted: single feature (22.86% to 82.86%), two combined features (37.14% to 54.28%), three combined features (34.29% to 40.00%), and four combined features (31.43%).<br/><br/>Conclusion: Ultrasound MUSA features were found to have decreasing accuracy levels as more distinct, individual features were combined. Ultrasound diagnosis of adenomyosis is thus subjective unless the standardized terms and definitions published by the MUSA group will be used, thereby reducing intra- and inter-observer variability.<br/><br/>Keywords: MUSA, adenomyosis, asymmetrical myometrial walls, anechoic cyst<br/><br/>
521 ## - TARGET AUDIENCE NOTE
Target audience note Research - Department of Obstetrics & Gynecology
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Santos, Catherine T.
Relator term Investigator
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Medina-Calma, Jessica
Relator term Supervising Investigator
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Room Use
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Library of Congress Classification     Far Eastern University - Nicanor Reyes Medical Foundation Far Eastern University - Nicanor Reyes Medical Foundation 07/18/2024   OB 2023 0001 R000713 07/18/2024 07/18/2024 Room Use