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The value of dynamic contrast–enhanced MRI in characterizing complex ovarian tumors

BACKGROUND: The study aimed to investigate the utility of dynamic contrast enhanced MRI (DCE-MRI) in the differentiation of malignant, borderline, and benign complex ovarian tumors. METHODS: DCE-MRI data of 102 consecutive complex ovarian tumors (benign 15, borderline 16, and malignant 71), confirme...

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Autores principales: Li, Hai-Ming, Qiang, Jin-Wei, Ma, Feng-Hua, Zhao, Shu-Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5237560/
https://www.ncbi.nlm.nih.gov/pubmed/28088245
http://dx.doi.org/10.1186/s13048-017-0302-y
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author Li, Hai-Ming
Qiang, Jin-Wei
Ma, Feng-Hua
Zhao, Shu-Hui
author_facet Li, Hai-Ming
Qiang, Jin-Wei
Ma, Feng-Hua
Zhao, Shu-Hui
author_sort Li, Hai-Ming
collection PubMed
description BACKGROUND: The study aimed to investigate the utility of dynamic contrast enhanced MRI (DCE-MRI) in the differentiation of malignant, borderline, and benign complex ovarian tumors. METHODS: DCE-MRI data of 102 consecutive complex ovarian tumors (benign 15, borderline 16, and malignant 71), confirmed by surgery and histopathology, were analyzed retrospectively. The patterns (I, II, and III) of time-signal intensity curve (TIC) and three semi-quantitative parameters, including enhancement amplitude (EA), maximal slope (MS), and time of half rising (THR), were evaluated and compared among benign, borderline, and malignant ovarian tumors. The types of TIC were compared by Pearson Chi-square χ (2) between malignant and benign, borderline tumors. The mean values of EA, MS, and THR were compared using one-way ANOVA or nonparametric Kruskal-Wallis test. RESULTS: Fifty-nine of 71 (83%) malignant tumors showed a type-III TIC; 9 of 16 (56%) borderline tumors showed a type-II TIC, and 10 of 15 (67%) benign tumors showed a type-II TIC, with a statistically significant difference between malignant and benign tumors (P < 0.001) and between malignant and borderline tumors (P < 0.001). MS was significantly higher in malignant tumors than in benign tumors and in borderline than in benign tumors (P < 0.001, P = 0.013, respectively). THR was significantly lower in malignant tumors than in benign tumors and in borderline than in benign tumors (P < 0.001, P = 0.007, respectively). There was no statistically significant difference between malignant and borderline tumors in MS and THR (P = 0.19, 0.153) or among malignant, borderline, and benign tumors in EA (all P > 0.05). CONCLUSIONS: DCE-MRI is helpful for characterizing complex ovarian tumors; however, semi-quantitative parameters perform poorly when distinguishing malignant from borderline tumors.
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spelling pubmed-52375602017-01-18 The value of dynamic contrast–enhanced MRI in characterizing complex ovarian tumors Li, Hai-Ming Qiang, Jin-Wei Ma, Feng-Hua Zhao, Shu-Hui J Ovarian Res Research BACKGROUND: The study aimed to investigate the utility of dynamic contrast enhanced MRI (DCE-MRI) in the differentiation of malignant, borderline, and benign complex ovarian tumors. METHODS: DCE-MRI data of 102 consecutive complex ovarian tumors (benign 15, borderline 16, and malignant 71), confirmed by surgery and histopathology, were analyzed retrospectively. The patterns (I, II, and III) of time-signal intensity curve (TIC) and three semi-quantitative parameters, including enhancement amplitude (EA), maximal slope (MS), and time of half rising (THR), were evaluated and compared among benign, borderline, and malignant ovarian tumors. The types of TIC were compared by Pearson Chi-square χ (2) between malignant and benign, borderline tumors. The mean values of EA, MS, and THR were compared using one-way ANOVA or nonparametric Kruskal-Wallis test. RESULTS: Fifty-nine of 71 (83%) malignant tumors showed a type-III TIC; 9 of 16 (56%) borderline tumors showed a type-II TIC, and 10 of 15 (67%) benign tumors showed a type-II TIC, with a statistically significant difference between malignant and benign tumors (P < 0.001) and between malignant and borderline tumors (P < 0.001). MS was significantly higher in malignant tumors than in benign tumors and in borderline than in benign tumors (P < 0.001, P = 0.013, respectively). THR was significantly lower in malignant tumors than in benign tumors and in borderline than in benign tumors (P < 0.001, P = 0.007, respectively). There was no statistically significant difference between malignant and borderline tumors in MS and THR (P = 0.19, 0.153) or among malignant, borderline, and benign tumors in EA (all P > 0.05). CONCLUSIONS: DCE-MRI is helpful for characterizing complex ovarian tumors; however, semi-quantitative parameters perform poorly when distinguishing malignant from borderline tumors. BioMed Central 2017-01-14 /pmc/articles/PMC5237560/ /pubmed/28088245 http://dx.doi.org/10.1186/s13048-017-0302-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Li, Hai-Ming
Qiang, Jin-Wei
Ma, Feng-Hua
Zhao, Shu-Hui
The value of dynamic contrast–enhanced MRI in characterizing complex ovarian tumors
title The value of dynamic contrast–enhanced MRI in characterizing complex ovarian tumors
title_full The value of dynamic contrast–enhanced MRI in characterizing complex ovarian tumors
title_fullStr The value of dynamic contrast–enhanced MRI in characterizing complex ovarian tumors
title_full_unstemmed The value of dynamic contrast–enhanced MRI in characterizing complex ovarian tumors
title_short The value of dynamic contrast–enhanced MRI in characterizing complex ovarian tumors
title_sort value of dynamic contrast–enhanced mri in characterizing complex ovarian tumors
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5237560/
https://www.ncbi.nlm.nih.gov/pubmed/28088245
http://dx.doi.org/10.1186/s13048-017-0302-y
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