Pathology and risk stratification-based evaluation of ovarian masses on MRI.
Autor: | Arora A; Department of Radiology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia., Shadbolt C; Pauline Gandel Women's Imaging Centre, The Royal Women's Hospital, Melbourne, Victoria, Australia., Lam K; Department of Radiology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia., Bahure S; Department of Radiology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia., Kitzing YX; Department of Radiology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia. |
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Jazyk: | angličtina |
Zdroj: | Journal of medical imaging and radiation oncology [J Med Imaging Radiat Oncol] 2024 Dec 27. Date of Electronic Publication: 2024 Dec 27. |
DOI: | 10.1111/1754-9485.13819 |
Abstrakt: | Characterisation of an indeterminate ovarian mass is important as it guides management and clinical outcomes. Ultrasound is the first-line modality in the assessment of ovarian tumours. When ovarian masses are indeterminate on ultrasound, MRI provides excellent resolution in tissue characterisation and enhancement patterns. Ovarian masses can be categorised based on risk-scoring systems such as the American College of Radiology (ACR) MRI Ovarian-Adnexal Reporting and Data System (O-RADS). The imaging features of non-neoplastic, benign, borderline and malignant neoplastic ovarian lesions are discussed in this review with a focus on the pathology process accounting for the MRI appearance. Characteristic findings and clues in differentiating a benign lesion from a malignancy are presented in this review. (© 2024 Royal Australian and New Zealand College of Radiologists.) |
Databáze: | MEDLINE |
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