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How to differentiate uterine leiomyosarcoma from leiomyoma with imaging
Authors:S. Sun  P.A. Bonaffini  S. Nougaret  L. Fournier  A. Dohan  J. Chong  J. Smith  H. Addley  C. Reinhold
Affiliation:1. Department of Radiology, McGill University Health Centre, 1001 Decarie boulevard, H4A 3J1 Montreal, QC, Canada;2. Inserm, U1194, Department of Radiology, Montpellier Cancer Institute, University of Montpellier, 34295 Montpellier, France;3. Université de Paris, Descartes-Paris 5, 75006 Paris, France;4. Department of Radiology, Hôpital Européen Georges Pompidou, Assistance Publique–Hôpitaux de Paris, 75015 Paris, France;5. Department of Radiology A, Hôpital Cochin, Assistance Publique–Hôpitaux de Paris, 75014 Paris, France;6. Department of Radiology, Cambridge University Hospitals, NHS Foundation Trust, CB2 0QQ Cambridge, United Kingdom
Abstract:Uterine leiomyomas, the most frequent benign myomatous tumors of the uterus, often cannot be distinguished from malignant uterine leiomyosarcomas using clinical criteria. Furthermore, imaging differentiation between both entities is frequently challenging due to their potential overlapping features. Because a suspected leiomyoma is often managed conservatively or with minimally invasive treatments, the misdiagnosis of leiomyosarcoma for a benign leiomyoma could potentially result in significant treatment delays, therefore increasing morbidity and mortality. In this review, we provide an overview of the differences between leiomyoma and leiomyosarcoma, mainly focusing on imaging characteristics, but also briefly touching upon their demographic, histopathological and clinical differences. The main indications and limitations of available cross-sectional imaging techniques are discussed, including ultrasound, computed tomography, magnetic resonance imaging (MRI) and positron emission tomography/computed tomography. A particular emphasis is placed on the review of specific MRI features that may allow distinction between leiomyomas and leiomyosarcomas according to the most recent evidence in the literature. The potential contribution of texture analysis is also discussed. In order to help guide-imaging diagnosis, we provide an MRI-based diagnostic algorithm which takes into account morphological and functional features, both individually and in combination, in an attempt to optimize radiologic differentiation of leiomyomas from leiomyosarcomas.
Keywords:Corresponding author.  Leiomyosarcoma  Leiomyoma  Differentiation  Magnetic resonance imaging (MRI)  Uterine tumor
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