Abstract
Objectives
We aimed to assess the sensitivity of diffusion-weighted (DW) magnetic resonance (MR) imaging for the detection of pathologically confirmed uveal melanoma liver metastases (UMLM).
Methods
Twenty patients who underwent complete surgical resection of their UMLM (N = 83) were included. Pre-surgery liver MR imaging included T2-weighted, T1-weighted, DW and dynamic-gadolinium-enhanced MR sequences. Two radiologists independently reviewed three sets of images (DW / morphologic-dynamic / combined) for each patient using intraoperative and pathological findings as a standard of reference.
Results
The sensitivities of the morphologic-dynamic and DW images for UMLM detection were 63 % and 59 %, respectively, for reader #1 (R1) and 64 % and 53 %, for reader #2 (R2). Sensitivity of the combined set was higher than sensitivity in the two other sets (R1:69 %, R2:67 %), but was only significantly different than the sensitivity of the DW images (McNemar test). For the three sets and the two readers, the sensitivity for UMLM smaller than 5 mm (37–46 %) was significantly lower than that for UMLM larger than 5 mm (67–90 %). The sensitivity for UMLM located in the subcapsular area (41–54 %) was significantly lower than that for intraparenchymal UMLM (68–86 %) (Chi-square test).
Conclusion
Our study shows that the addition of DW imaging to morphologic-dynamic images does not significantly increase MR sensitivities for UMLM detection.
Key Points
• The MR imaging sensitivity for uveal melanoma liver metastases (UMLM) was 69 %.
• Addition of DW imaging to morphologic-dynamic images does not increase sensitivity significantly.
• Sensitivity for subcapsular UMLM was significantly lower than sensitivity for intraparenchymal UMLM.
• The T2 shortening effect does not appear to influence lesion detection in DWI.
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Abbreviations
- UMLM:
-
Uveal melanoma liver metastases
- MR:
-
Magnetic resonance
- DW:
-
Diffusion-weighted
- PACS:
-
Picture archiving communication system
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Acknowledgments
The scientific guarantor of this publication is Vincent Servois. The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article. The authors state that this work has not received any funding. One of the authors has significant statistical expertise. No complex statistical methods were necessary for this paper. Institutional Review Board approval was obtained. Written informed consent was waived by the Institutional Review Board. Methodology: retrospective, diagnostic or prognostic study, performed at one institution.
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Wagner, M., Mariani, P., Bidard, F.C. et al. Diffusion-weighted MRI for uveal melanoma liver metastasis detection. Eur Radiol 25, 2263–2273 (2015). https://doi.org/10.1007/s00330-015-3662-y
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DOI: https://doi.org/10.1007/s00330-015-3662-y