Pathology and risk stratification‐based evaluation of ovarian masses on <scp>MRI</scp>

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.

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Publication Details

Journal
Journal of Medical Imaging and Radiation Oncology
Published
2024-12-27
DOI
https://doi.org/10.1111/1754-9485.13819
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
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article

Pathology and risk stratification‐based evaluation of ovarian masses on MRI

Clair Shadbolt, Yu Xuan Kitzing, Kim Hung Lam, Ayesha Arora et al.
Journal of Medical Imaging and Radiation Oncology
Ovarian cancer diagnosis and treatment
article

Pathology and risk stratification‐based evaluation of ovarian masses on MRI

Clair Shadbolt, Yu Xuan Kitzing, Kim Hung Lam, Ayesha Arora, Sarita Bahure
article en

Abstract

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.

Journal of Medical Imaging and Radiation Oncology
Royal Women's Hospital (AU), Royal Prince Alfred Hospital (AU)
Good health and well-being
Openalex Percentile: Top 64%
Ovarian cancer diagnosis and treatment
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Pathology and risk stratification‐based evaluation of ovarian masses on <scp>MRI</scp> — Clair Shadbolt, Yu Xuan Kitzing, et al. · Journal of Medical Imaging and Radiation Oncology (2024) | TGRS Research Map | TGRS