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Validating the diagnostic accuracy of an MRI-based scoring system for differentiating benign uterine leiomyomas from leiomyosarcomas.
Al Khuri, Maryam; Al Salmi, Ishaq; Al Ajmi, Hawra; Al Hadidi, Aymen; Alabousi, Abdullah; Haider, Ehsan; Vasudev, Pooja; Al Salmi, Ahmed; Jose, Sachin; Alrahbi, Nasser.
Affiliation
  • Al Khuri M; Radiology Department, Sohar Hospital, Sohar, Al Batinah North, Oman maaalkhoori@gmail.com.
  • Al Salmi I; Department of Medical Imaging, McMaster University, Hamilton, Canada.
  • Al Ajmi H; Radiology Department, The Royal Hospital, Seeb, Muscat, Oman.
  • Al Hadidi A; Radiology Department, Sohar Hospital, Sohar, Al Batinah North, Oman.
  • Alabousi A; Radiology Department, Khoula Hospital, Mina Al Fahal, Muscat, Oman.
  • Haider E; Department of Medical Imaging, McMaster University, Hamilton, Canada.
  • Vasudev P; Diagnostic Imaging, St Joseph's Healthcare Hamilton, Hamilton, Canada.
  • Al Salmi A; Department of Medical Imaging, McMaster University, Hamilton, Canada.
  • Jose S; Diagnostic Imaging, St Joseph's Healthcare Hamilton, Hamilton, Canada.
  • Alrahbi N; Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Canada.
Int J Gynecol Cancer ; 34(7): 1027-1033, 2024 Jul 01.
Article in En | MEDLINE | ID: mdl-38658016
ABSTRACT

OBJECTIVE:

Uterine leiomyomas are the most common benign uterine tumors. They are difficult to distinguish from their malignant counterparts-smooth muscle tumors of unknown malignant potential (STUMP) and leiomyosarcoma. The purpose of this study is to propose and validate the diagnostic accuracy of the MRI-based Oman-Canada Scoring System of Myometrial Masses (OCSSMM) to differentiate uterine leiomyomas from STUMP/leiomyosarcomas.

METHODS:

This is a retrospective study performed at two tertiary care centers. All patients with a pathology-proven uterine mass who underwent pre-operative pelvic MRI between January 2010 and January 2020 were included. Using a 1.5T MRI machine, sequences included were axial/coronal/sagittal T2 and T1 weighted imaging, axial diffusion weighted and apparent diffusion coefficient map, and axial or sagittal dynamic contrast-enhanced sequences. A scoring system was designed based on previously published worrisome MRI features for uterine leiomyosarcoma. Each feature was allocated a score from 0 to 2 according to the strength of association with malignancy. Subsequently, the MR images were blindly and independently reviewed by a fellowship-trained radiologist and a clinical fellow/senior resident. Each uterine mass was scored according to their imaging features. The scores were divided into five categories according to the sum of scores. Category III and above was considered positive for leiomyosarcoma/STUMP. Sensitivity, specificity, and positive and negative predictive values were calculated.

RESULTS:

A total of 244 women were included (age range 20-74 years, mean 40). Of these, 218 patients had benign leiomyoma, 13 had STUMP, and 13 had leiomyosarcoma. The sensitivity and specificity of the scoring system were 92.3% and 64.7%, respectively. The negative predictive value was 98.6%. No leiomyosarcoma was missed using this scoring system. The presence of non-cystic T2 hyperintensity or diffusion restriction in a uterine mass were the most sensitive signs of a leiomyosarcoma/STUMP.

CONCLUSION:

The proposed multi-parametric MRI scoring system may be useful in differentiating benign uterine leiomyomas from leiomyosarcomas/STUMP.
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Full text: 1 Database: MEDLINE Main subject: Uterine Neoplasms / Magnetic Resonance Imaging / Leiomyoma / Leiomyosarcoma Limits: Adult / Aged / Female / Humans / Middle aged Language: En Year: 2024 Type: Article

Full text: 1 Database: MEDLINE Main subject: Uterine Neoplasms / Magnetic Resonance Imaging / Leiomyoma / Leiomyosarcoma Limits: Adult / Aged / Female / Humans / Middle aged Language: En Year: 2024 Type: Article