MRI Characteristics of Ovarian Metastasis: Differentiation from Stomach and Colorectal Cancer

Overview

Journal Jpn J Radiol

Publisher Springer

Specialty Radiology

Date 2024 Nov 13

PMID 39538067

Authors

Yukiko Takai

Hiroki Kato

Masaya Kawaguchi

Kazuhiro Kobayashi

Kyoko Kikuno

Tatsuro Furui

Masanori Isobe

Yoshifumi Noda

Fuminori Hyodo

Masayuki Matsuo

Affiliations

Soon will be listed here.

Abstract

Purpose: To evaluate the efficacy of MRI findings for differentiating between ovarian metastasis from stomach cancer (OMSC) and colorectal cancer (OMCC).

Methods: Twenty-six patients with histopathologically proven ovarian metastasis (n = 8 with 12 OMSCs and n = 18 with 25 OMCCs) were enrolled in the study. All patients had undergone pelvic MRI before surgery. We retrospectively reviewed MRI findings and compared them between the two pathologies. The black scrunchie sign was defined as a thick (> 5 mm) and lobulated hypointense rim (> 180°) with central hyperintense areas on T2-weighted images.

Results: Predominantly solid lesions (100% vs. 20%, p < 0.01), black scrunchie sign (33% vs. 0%, p < 0.01), and flow void (67% vs. 20%, p < 0.01) were frequently observed in OMSCs than in OMCCs. The signal intensity ratio of solid components on T2-weighted images (3.30 ± 0.70 vs. 2.52 ± 0.77, p < 0.01) and gadolinium-enhanced T1-weighted images (2.21 ± 0.57 vs. 1.43 ± 0.32, p < 0.01) were significantly higher in OMSCs than in OMCCs. Furthermore, hyperintense areas within cystic components on T1-weighted images (71% vs. 18%, p < 0.01) and stained-glass appearance (44% vs. 0%, p < 0.01) were frequently observed in OMCCs than in OMSCs.

Conclusion: The black scrunchie sign was only observed in OMSCs. OMSCs always exhibited predominantly solid lesions and had higher signal intensity of solid components on T2- and gadolinium-enhanced T1-weighted images. OMCCs usually presented as cystic lesions, usually accompanied by hyperintense areas within the cystic components on T1-weighted images.

Citing Articles

Prediction of grading of ovarian endometrioid carcinoma using conventional MRI features.

Kawaguchi M, Kato H, Furui T, Isobe M, Noda Y, Hyodo F Jpn J Radiol. 2024; .

PMID: 39730935 DOI: 10.1007/s11604-024-01727-9.

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