Uterine Evaluation Using Morphological Uterus Sonographic Assessment Diagnostic Protocol: A Literature Review

In: Open Access Macedonian Journal of Medical Sciences · 2022 · vol. 10(T7) , pp. 209–216 · doi:10.3889/oamjms.2022.9294 · W4295886695
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This literature review introduces the Morphological Uterus Sonographic Assessment (MUSA) protocol, a standardized terminology for describing and reporting gray-scale, Doppler, and 3D ultrasound findings of the uterine corpus, myometrium, and myometrial lesions.

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This study is a literature review (2000–2019) on how uterine and myometrial sonographic findings are evaluated using ultrasonography, focusing on establishing consistent terminology across gray-scale, color/power Doppler, and 3D imaging. It reports that the Morphological Uterus Sonographic Assessment (MUSA) consensus provides standardized terms, definitions, and measurements for describing the uterine corpus, myometrium, and myometrial lesions. The authors note that ongoing work is needed to further study the relevance and use of the consensus, particularly correlations between sonographic findings and clinical and histological features. Relevance to endometriosis: the review cites related ultrasound consensus frameworks for suspected endometriosis (including approaches that cover the uterine junctional zone and pelvic evaluation), though its main focus is the general MUSA standardization of myometrial ultrasound reporting rather than endometriosis-specific diagnostics.

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Abstract

Background: Myometrial lesion is one of the major causes of the need for gynecologic surgeries. Ultrasonography (USG) is the primary modality in myometrial radiological examination. Thus a consistent procedure for reporting evaluation findings is needed. Method: We reviewed literature from textbooks and journals from 2000 to 2019 containing information about myometrial sonographic evaluation. Results: MUSA (Morphological Uterus Sonographic Assessment) is a consensus statement on terms, definitions, and measurements that may be used to describe findings and report the sonographic features of the myometrium using gray-scale sonography, colour/power Doppler and three-dimensional (3D) ultrasound imaging. The procedure consists of reports on the sonographic features of the uterine corpus, myometrium, and myometrial lesion. Conclusion: The need for a standardized terminology to describe sonographic findings of the myometrium, both normal and pathological, has given this protocol an advantage to show its benefit, that is not only just for a clinical background but also research purposes. We suggest researchers and clinicians continue to develop further and study the relevance and use of the consensus, especially the correlation of sonographic findings with clinical and histological features.
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Background

Myometrial lesion is one of the major causes of the need for gynecologic surgeries. Ultrasonography (USG) is the primary modality in myometrial radiological examination. Thus a consistent procedure for reporting evaluation findings is needed.

Method

We reviewed literature from textbooks and journals from 2000 to 2019 containing information about myometrial sonographic evaluation.

Results

MUSA (Morphological Uterus Sonographic Assessment) is a consensus statement on terms, definitions, and measurements that may be used to describe findings and report the sonographic features of the myometrium using gray-scale sonography, colour/power Doppler and three-dimensional (3D) ultrasound imaging. The procedure consists of reports on the sonographic features of the uterine corpus, myometrium, and myometrial lesion.

Conclusion

The need for a standardized terminology to describe sonographic findings of the myometrium, both normal and pathological, has given this protocol an advantage to show its benefit, that is not only just for a clinical background but also research purposes. We suggest researchers and clinicians continue to develop further and study the relevance and use of the consensus, especially the correlation of sonographic findings with clinical and histological features. Downloads Metrics Plum Analytics Artifact Widget Block

References

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