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Korean Journal of Radiology ; : 18-33, 2019.
Article in English | WPRIM | ID: wpr-719600

ABSTRACT

In this study, we summarize the clinical role of magnetic resonance imaging (MRI) in the diagnosis of patients with malignant uterine neoplasms, including leiomyosarcoma, endometrial stromal sarcoma, adenosarcoma, uterine carcinosarcoma, and endometrial cancer, with emphasis on the challenges and disadvantages. MRI plays an essential role in patients with uterine malignancy, for the purpose of tumor detection, primary staging, and treatment planning. MRI has advanced in scope beyond the visualization of the many aspects of anatomical structures, including diffusion-weighted imaging, dynamic contrast enhancement-MRI, and magnetic resonance spectroscopy. Emerging technologies coupled with the use of artificial intelligence in MRI are expected to lead to progressive improvement in case management of malignant uterine neoplasms.


Subject(s)
Female , Humans , Adenosarcoma , Artificial Intelligence , Carcinosarcoma , Case Management , Diagnosis , Endometrial Neoplasms , Leiomyosarcoma , Magnetic Resonance Imaging , Magnetic Resonance Spectroscopy , Sarcoma , Sarcoma, Endometrial Stromal , Uterine Neoplasms
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