ArticleJournal of Korean medical science2018
A Fast 3-Dimensional Magnetic Resonance Imaging Reconstruction for Surgical Planning of Uterine Myomectomy.
Article in Journal of Korean medical science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 14 citations in OpenAlex.
- Deep learning assisted detection and segmentation of uterine fibroids using multi-orientation magnetic resonance imaging.Abdominal radiology (New York) · 2025Article
- Article
- Three-Dimensional Volume Rendering of Pelvic Floor Anatomy with Focus on Fibroids in Relation to the Lower Urogenital Tract Based on Cross-Sectional MRI Images.Journal of medical systems · 2023Article
- Incorporating 3D reconstruction in preoperative surgical planning of Multiple Myomectomy.Facts, views & vision in ObGyn · 2022Article
- Preoperative 3D Reconstruction Model in Slow Mohs Surgery for Dermatofibrosarcoma Protuberans.Computational intelligence and neuroscience · 2022Review
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUterine myoma is the most common benign gynecologic tumor in reproductive-aged women. During myomectomy for women who want to preserve fertility, it is advisable to detect and remove all myomas to decrease the risk of additional surgery. However, finding myomas during surgery is often challenging, especially for deep-seated myomas. Therefore, three-dimensional (3D) preoperative localization of myomas can be helpful for the surgical planning for myomectomy. However, the previously reported manual 3D segmenting method takes too much time and effort for clinical use. The objective of this study was to propose a new method of rapid 3D visualization of uterine myoma using a uterine template.
methodsMagnetic resonance images were listed according to the slide spacing on each plane of the multiplanar reconstruction, and images that were determined to be myomas were selected by simply scrolling the mouse down. By using the selected images, a 3D grid with a slide spacing interval was constructed and filled on its plane and finally registered to a uterine template.
resultsThe location of multiple myomas in the uterus was visualized in 3D and this proposed method is over 95% faster than the existing manual-segmentation method. Not only the size and location of the myomas, but also the shortest distance between the uterine surface and the myomas, can be calculated. This technique also enables the surgeon to know the number of total, removed, and remaining myomas on the 3D image.
conclusionThis proposed 3D reconstruction method with a uterine template enables faster 3D visualization of myomas.
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