Smooth Muscle Tumors of the Uterus at MRI: Focus on Leiomyomas and FIGO Classification.
Wendy TuMotoyo YanoNicola SchiedaSatheesh KrishnaLongwen ChenRavi V GottumukkalaRaquel O AlencarPublished in: Radiographics : a review publication of the Radiological Society of North America, Inc (2023)
Leiomyomas are smooth muscle tumors of the uterus and are the most common uterine neoplasm. Although leiomyomas are usually asymptomatic, they can manifest with symptoms such as pain or uterine bleeding. Leiomyomas are classified on the basis of their anatomic location and morphology. Localization of leiomyomas relative to the endometrium, myometrium, and uterine serosa with use of the International Federation of Gynecology and Obstetrics (FIGO) classification system is helpful for guiding management in symptomatic patients. The FIGO system is a practical and universally accepted approach for classifying leiomyomas to guide radiologists and clinicians in deciding management. The MRI appearance of conventional leiomyomas is related to their tissue contents of smooth muscle and fibrous tissue and is well established. The MRI features of some leiomyoma subtypes and forms of degeneration also have been described. Other smooth muscle tumors of the uterus recognized in the 2020 World Health Organization classification system include intravenous leiomyomatosis, smooth muscle tumors of uncertain malignant potential, and metastasizing leiomyoma. At the far end of the spectrum are leiomyosarcomas, which are frankly malignant and therefore must be managed accordingly. Although MRI features that suggest a diagnosis of leiomyosarcoma have been proposed, these features overlap with those of some leiomyoma subtypes and degeneration. © RSNA, 2023 See the invited commentary by Fennessy and Gargiulo in this issue. Online supplemental material and the slide presentation from the RSNA Annual Meeting are available for this article. Quiz questions for this article are available through the Online Learning Center.
Keyphrases
- smooth muscle
- contrast enhanced
- magnetic resonance imaging
- diffusion weighted imaging
- end stage renal disease
- machine learning
- chronic kidney disease
- social media
- newly diagnosed
- computed tomography
- chronic pain
- palliative care
- artificial intelligence
- low dose
- healthcare
- climate change
- magnetic resonance
- high dose
- pain management