Accuracy of 3-D Surface Rendering of 2-D Ultrasound Images of the Uterus Using a Novel Software in Mapping Uterine Fibroids
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Abstract
ObjectiveThree-dimensional surface rendering of 2-D ultrasound images of the uterus in mapping uterine fibroids is a fast-evolving imaging technique that holds great potential for gynecology. The purpose of this study was to assess the accuracy of 3-D surface rendering of 2-D ultrasound images of the uterus using a new Fibroid Mapping Reviewer Application (FMRA) software for mapping uterine fibroids as compared with the pathological evaluation of uterine fibroids in pre-menopausal women undergoing hysterectomy.MethodsWe enrolled women aged 35-55 y scheduled for hysterectomy for symptomatic fibroids at a tertiary care hospital from 2019 to 2021. Per pre-set guidelines, we recorded 2-D images and videos of the uterus with fibroids during the transvaginal ultrasound. The recordings were transferred through USB, loaded in the FMRA software and post-processed to generate a 3-D rendered uterus model. An experienced pathologist assessed and documented the gross examination details per a set protocol. We compared the pre-specified dimensions related to the size (L1, L2) and location (X, Y) of fibroids between the 3-D model and the pathologist's assessment of the hysterectomy specimen.ResultsA total of 25 fibroids in 25 women, the single largest per woman, were considered for analysis. The two methods had good correlation with respect to size (for L1, R² = 0.9723, and for L2, R² = 0.9784) and location (for X, R² = 0.9618, and for Y, R² = 0.9753). Inter-observer analysis revealed that measurements from two sonologists were reproducible (Cronbach's α = 0.9 for the L1, L2 and L3 dimensions of fibroids from the 3-D model).ConclusionThe FMRA is a novel tool for mapping fibroids. With its proven accuracy, it will be helpful in planning surgeries and during guided procedures for managing uterine fibroids.
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Cites (3)
- Terms, definitions and measurements to describe sonographic features of myometrium and uterine masses: a consensus opinion from the Morphological Uterus Sonographic Assessment (MUSA) group 2015
- Ultrasonography of Uterine Leiomyomas 2016
- Quantitative analysis of ultrasound images for computer-aided diagnosis 2016
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