Accuracy of morphological uterus sonographic assessment (MUSA) based on the number of features involved in patients with adenomyosis / [investigator]: Santos, Catherine T. [supervising investigator]: Medina-Calma, Jessica

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Language: English Publication details: Fairview, Quezon City: Department of Obstetrics & Gynecology, FEU-NRMF, 2023Description: (in folder) with flash drive (soft copy)Content type:

text

Media type:

unmediated

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volume

LOC classification:

OB 2023 0001

Contents:

Includes bibliographical references

Summary: ABSTRACT: 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 number of features present. Objective: To determine the accuracy of ultrasound based on the number of MUSA features in women diagnosed with adenomyosis. 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 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. 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%). 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. Keywords: MUSA, adenomyosis, asymmetrical myometrial walls, anechoic cyst

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Item type	Current library	Call number	Status	Date due	Barcode
Room Use	Far Eastern University - Nicanor Reyes Medical Foundation	OB 2023 0001 (Browse shelf(Opens below))	Available		R000713

Includes bibliographical references

ABSTRACT:
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
number of features present.

Objective: To determine the accuracy of ultrasound based on the number of MUSA features in women diagnosed with adenomyosis.

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
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.

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%).

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.

Keywords: MUSA, adenomyosis, asymmetrical myometrial walls, anechoic cyst

Research - Department of Obstetrics & Gynecology

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