Ultrasound Evaluation of the Myometrium Using the MUSA Terminology Comparison With Histology

NCT ID: NCT04990076

Last Updated: 2024-07-03

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

1500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-03-11

Study Completion Date

2026-03-30

Brief Summary

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The main objective is to evaluate the diagnostic accuracy of the MUSA terms and definitions, as defined in the paper by Van den Bosch T, Dueholm M, ea. in 2015, to differentiate between different types of myometrial lesions of more than 1 cm. The primary aim is the diagnostic accuracy of the MUSA terms and definitions and the secondary aim the development of a prediction model.

Detailed Description

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Primary aim: Diagnostic accuracy of the MUSA terms and definitions

Every patient planned for hysterectomy for myometrial pathology (e.g. benign fibroid, benign adenomyoma or malignant uterine sarcoma) will undergo a systematic preoperative ultrasound scan. Around 50 ultrasound characteristics will be assess as to diagnostic accuracy as predictors (Prospective evaluation of MUSA terms and definitions). The estimation for sarcomas is based on preliminary and unpublished results from an ongoing prospective study led by prof dr Antonia Testa from the Università Cattolica di Sacro Cuore Largo Agostino Gemelli in Rome showing an incidence of 4.9% for uterine sarcomas amongst women with a myometrial lesion referred to their tertiary center (Antonia Testa, personal communication).

Secondary aim: Development of prediction model

The Secondary aim is to build predictive models to differentiate between benign myometrial lesions (e.g. adenomyosis and fibroid) and malignant myometrial lesion (e.g. uterine sarcoma). Because of the small number of cases with malignant myometrial lesion (expected to be 5% of the study population or around 75 women), we will limit the number of variables to be tested in order to avoid overfitting. Based on current literature, we preselected following characteristics for development of a prediction model:

* Outer contour: regular of irregular
* Echogenicity of uterine lesion: uniform (homogeneous) or non-uniform (mixed)
* Colour score: 1 to 4
* Presence of central necrosis
* Maximal diameter of the lesion (in mm)
* Presence of acoustic shadows

Conditions

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Myoma;Uterus Sarcoma Uterus

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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Patients planned for hysterectomy with a myometrial lesion of more than 1 cm.

Hysterectomy

Intervention Type PROCEDURE

Surgery includes different types of hysterectomy: vaginal hysterectomy, total abdominal hysterectomy and laparoscopic or Robotic hysterectomy. The type of hysterectomy does not influence histological outcome, as long as the uterus is removed in one part (no power morcellation). Indications for surgery and the type of surgery are according to the departments' protocols. If the patient is deemed to be inoperable due to the extent of the disease, a representive biopsy (e.g. trucut biopsy) will be accepted if sufficiently motivated by the oncology team.

Interventions

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Hysterectomy

Surgery includes different types of hysterectomy: vaginal hysterectomy, total abdominal hysterectomy and laparoscopic or Robotic hysterectomy. The type of hysterectomy does not influence histological outcome, as long as the uterus is removed in one part (no power morcellation). Indications for surgery and the type of surgery are according to the departments' protocols. If the patient is deemed to be inoperable due to the extent of the disease, a representive biopsy (e.g. trucut biopsy) will be accepted if sufficiently motivated by the oncology team.

Intervention Type PROCEDURE

Eligibility Criteria

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Inclusion Criteria

Consecutive patients planned to undergo hysterectomy for myometrial pathology of more then 1cm (e.g. fibroid, focal adenomyosis, uterine sarcoma).

Exclusion Criteria

* Patient's refusal
* Age \< 18 years
* Polymyomatous uterus
* Myometrial lesion with a diameter less then 10mm
* Patients currently treated for another cancer
* Patients with ovarian pathology, endometrial pathology of cervical pathology
* Power morcellation
Minimum Eligible Age

18 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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Universitaire Ziekenhuizen KU Leuven

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Dirk Timmerman, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

UZ Leuven

Locations

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UZ Leuven

Leuven, , Belgium

Site Status RECRUITING

Countries

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Belgium

Central Contacts

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Christine De Bruyn, MD

Role: CONTACT

+32 16 345125

Facility Contacts

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Christine De Bruyn, MD

Role: primary

+32 16 345125

References

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Van den Bosch T, Dueholm M, Leone FP, Valentin L, Rasmussen CK, Votino A, Van Schoubroeck D, Landolfo C, Installe AJ, Guerriero S, Exacoustos C, Gordts S, Benacerraf B, D'Hooghe T, De Moor B, Brolmann H, Goldstein S, Epstein E, Bourne T, Timmerman D. Terms, definitions and measurements to describe sonographic features of myometrium and uterine masses: a consensus opinion from the Morphological Uterus Sonographic Assessment (MUSA) group. Ultrasound Obstet Gynecol. 2015 Sep;46(3):284-98. doi: 10.1002/uog.14806. Epub 2015 Aug 10.

Reference Type BACKGROUND
PMID: 25652685 (View on PubMed)

Ludovisi M, Moro F, Pasciuto T, Di Noi S, Giunchi S, Savelli L, Pascual MA, Sladkevicius P, Alcazar JL, Franchi D, Mancari R, Moruzzi MC, Jurkovic D, Chiappa V, Guerriero S, Exacoustos C, Epstein E, Fruhauf F, Fischerova D, Fruscio R, Ciccarone F, Zannoni GF, Scambia G, Valentin L, Testa AC. Imaging in gynecological disease (15): clinical and ultrasound characteristics of uterine sarcoma. Ultrasound Obstet Gynecol. 2019 Nov;54(5):676-687. doi: 10.1002/uog.20270. Epub 2019 Oct 7.

Reference Type BACKGROUND
PMID: 30908820 (View on PubMed)

Other Identifiers

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s62497

Identifier Type: -

Identifier Source: org_study_id

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