Development of an Algorithm to Differentiate Uterine Sarcoma from Fibroids Using MRI and LDH Levels

Overview

Journal Diagnostics (Basel)

Specialty Radiology

Date 2023 May 16

PMID 37189505

Authors

Ayako Suzuki

Aki Kido

Mitsuru Matsuki

Yasushi Kotani

Kosuke Murakami

Yukio Yamanishi

Isao Numoto

Hidekatsu Nakai

Tomoyuki Otani

Ikuo Konishi

Masaki Mandai

Noriomi Matsumura

Affiliations

Soon will be listed here.

Abstract

Background: This study aimed to establish an evaluation method for detecting uterine sarcoma with 100% sensitivity using MRI and serum LDH levels.

Methods: One evaluator reviewed the MRI images and LDH values of a total of 1801 cases, including 36 cases of uterine sarcoma and 1765 cases of uterine fibroids. The reproducibility of the algorithm was also examined by four evaluators with different imaging experience and abilities, using a test set of 61 cases, including 14 cases of uterine sarcoma.

Results: From the MRI images and LDH values of 1801 cases of uterine sarcoma and uterine fibroids, we found that all sarcomas were included in the group with a high T2WI and either a high T1WI, an unclear margin, or high LDH values. In addition, when cases with DWI were examined, all sarcomas had high DWI. Among the 36 sarcoma cases, the group with positive findings for T2WI, T1WI, margins, and serum LDH levels all had a poor prognosis ( = 0.015). The reproducibility of the algorithm was examined by four evaluators and the sensitivity of sarcoma detection ranged from 71% to 93%.

Conclusion: We established an algorithm to distinguish uterine sarcoma if tumors in the myometrium with low T2WI and DWI are present.

Citing Articles

Tailoring the Diagnostic Pathway for Medical and Surgical Treatment of Uterine Fibroids: A Narrative Review.

Centini G, Cannoni A, Ginetti A, Colombi I, Giorgi M, Schettini G Diagnostics (Basel). 2024; 14(18).

PMID: 39335725 PMC: 11431597. DOI: 10.3390/diagnostics14182046.

Exploring Surgical Strategies for Uterine Fibroid Treatment: A Comprehensive Review of Literature on Open and Minimally Invasive Approaches.

Cianci S, Gulino F, Palmara V, La Verde M, Ronsini C, Romeo P Medicina (Kaunas). 2024; 60(1).

PMID: 38256325 PMC: 10820219. DOI: 10.3390/medicina60010064.

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