Role of US in Uterine Fibroids in Comparison With MRI Using FIGO Classification

NCT ID: NCT05695690

Last Updated: 2023-04-11

Basic Information

• Recruitment Status: UNKNOWN
• Total Enrollment: 43 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2023-05-31
• Study Completion Date: 2024-05-31

Brief Summary

Evaluation of diagnostic accuracy of ultrasound in uterine fibroid characterization compared with MRI using FIGO classification

Detailed Description

Uterine fibroids, also known as uterine leiomyomata or myomas, are the most common gynecologic tumors occurring in 20-30% of women of reproductive age and in up to 80% of all women.

Leiomyomas have a wide spectrum of clinical presentations, but are mostly asymptomatic. Submucosal leiomyomas are more commonly associated with symptoms such as AUB, dysmenorrhea, infertility, and recurrent pregnancy loss. Subserosal leiomyomas can cause gastrointestinal or genitourinary symptoms related to size such as constipation, urinary retention, urinary frequency and urgency, or bladder and bowel incontinence.

Fibroids are monoclonal smooth muscle tumors arising from the myometrium. While benign, their growth is dependent on estrogen and progesterone levels, and thus fibroids may enlarge with pregnancy and use of oral contraceptives and regress during menopause.

Ultrasonography (USG) is the first-line imaging modality for any suspected structural anomaly of the female pelvis as well as the most appropriate imaging modality for abnormal uterine bleeding. USG has high sensitivity and specificity in diagnosing leiomyomas, but can vary with the experience of the operator performing the USG, ranging from 65 to 99%.

Pelvic USG usually consists of a combined approach to include both transabdominal (TAS) and transvaginal (TVUS) imaging. TVUS is generally considered to be more sensitive and specific with greater contrast and spatial resolution when compared to TAS. TVUS is more useful in obese patients, patients with a large amount of bowel gas, and in patients with incomplete bladder filling, all of which lower the sensitivity of TAS. TAS, on the other hand, is helpful in females with a larger uterus that extends superiorly from the pelvis and cannot be completely visualized in the field of TVUS. TAS provides an anatomic overview to better estimate overall uterine size and visualize the fundus in such cases.

For incomplete visualization or indeterminate US findings, MRI is recommended. MR imaging is considered to be superior to USG offering anatomic detail with increased sensitivity and specificity in mapping the location and size of leiomyomas prior to treatment. Previous studies have shown that MRI has the greatest advantage in diagnosing leiomyomas especially in cases of multiple leiomyomas (> 4) or a large volume uterus (> 375 mL). Through the use of diffusion weighted imaging MR may also help identify lesions with higher cellularity such as leiomyosarcomas.

Despite these limitations, TVUS remains as efficient as MR in detecting the presence of leiomyomas and due to the lower cost, greater availability, and fewer contraindications, USG remains the first-line imaging modality for diagnosing the presence of leiomyomas. Furthermore, Baird et al. found that the presence of leiomyomas on a baseline ultrasound is strongly predictive of future uterine procedures approaching nearly 50% for those patients with a leiomyoma 4 cm or greater at baseline.

Leiomyomas have traditionally been classified as submucosal, intramural, and subserosal. With the advancements in the treatment modalities, there was a need for a more detailed and universally accepted classification system to direct optimal treatment options. For this reason, the FIGO classification system was developed in 2011 for causes of AUB.

The International Federation of Gynecology and Obstetrics (FIGO) classification system for abnormal uterine bleeding is intended to help both clinicians and researchers better categorize the causes of bleeding and plan treatments for the patient, be it hysteroscopy, laparoscopy/laparotomy, or UAE. Precise classification is also necessary in the post-treatment setting in order to assess treatment response, change in overall tumor burden and presence of recurrent lesions. The FIGO classification system subdivides fibroids into submucosal, other (intramural and subserosal), and hybrid types.

Conditions

Uterine Fibroid

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Interventions

Ultrasonography

Comparing between value of ultrasound vs MRI in uterine fibroids

Intervention Type: DEVICE

Other Intervention Names

MRI

Eligibility Criteria

Inclusion Criteria

• All females known or clinically suspected to have uterine fibroids & fit for the MRI examination.

Exclusion Criteria

• Patients with metallic prosthesis which are not MRI compatible.
• Patients refused the examination.
• Patients who suffer from claustrophobia.
• Pregnant women especially in the first trim

• Eligible Sex: FEMALE
• Accepts Healthy Volunteers: No

Sponsors

Assiut University

OTHER

Sponsor Role: lead

Responsible Party

Ashraqat Mohamed Sherif

Principal Investigator

Responsibility Role: PRINCIPAL_INVESTIGATOR

Central Contacts

Ashraqat Sherif

Role: CONTACT

ashrakat.gehad@gmail.com

01062389453

Momtaz Thabet, Lecturer

Role: CONTACT

mthabetallam@yahoo.com

01062013112

References

Gomez E, Nguyen MT, Fursevich D, Macura K, Gupta A. MRI-based pictorial review of the FIGO classification system for uterine fibroids. Abdom Radiol (NY). 2021 May;46(5):2146-2155. doi: 10.1007/s00261-020-02882-z. Epub 2021 Jan 1.

Reference Type: BACKGROUND

PMID: 33385249 (View on PubMed)

Bajaj S, Gopal N, Clingan MJ, Bhatt S. A pictorial review of ultrasonography of the FIGO classification for uterine leiomyomas. Abdom Radiol (NY). 2022 Jan;47(1):341-351. doi: 10.1007/s00261-021-03283-6. Epub 2021 Sep 28.

Reference Type: BACKGROUND

PMID: 34581926 (View on PubMed)

Other Identifiers

MRI and US in uterine fibroids

Identifier Type: -

Identifier Source: org_study_id