Diffusion-weighted imaging versus dynamic contrast-enhanced imaging for pre-operative diagnosis of deep myometrial invasion in endometrial cancer : A meta-analysis
Copyright © 2021 Elsevier Inc. All rights reserved..
PURPOSE: This study investigates the differences in diagnostic performance between diffuse-weighted imaging (DWI) and dynamic contrast-enhanced imaging (DCE), either alone or in combination with T2-weighted imaging (T2WI), for diagnosing deep myometrial invasion (dMI) of endometrial cancers (EC).
METHODS: We performed a comprehensive search for published studies comparing DWI and DCE for preoperatively diagnosing dMI of EC. The overall diagnostic accuracy of each test was calculated using the areas under the summary receiver operating characteristic curves (AUCs). The sensitivities and specificities were compared using bivariate meta-regression.
RESULTS: Pooled analysis of nineteen studies with 961 patients (main group) showed that DWI had a larger AUC (0.943, 95% confidence interval (CI) = 0.921-0.967) than DCE (0.922, 95% CI = 0.893-0.953). For the subgroup comprising 7 studies, DWI combined with T2WI and DCE combined with T2WI showed AUCs of 0.959 (95% CI, 0.932-0.986) and 0.929 (95% CI, 0.847-1.000), respectively. None of the differences in AUCs were statistically significant. All comparisons of the sensitivities and specificities of the main group and subgroup also showed no significant differences.
CONCLUSION: This meta-analysis found no significant difference in diagnostic performance between DWI and DCE for diagnosis of dMI in EC. DWI may be preferred for its ease of use in clinical practice.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2021 |
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Erschienen: |
2021 |
Enthalten in: |
Zur Gesamtaufnahme - volume:80 |
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Enthalten in: |
Clinical imaging - 80(2021) vom: 15. Dez., Seite 36-42 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Wang, Li-Jen [VerfasserIn] |
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Links: |
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Themen: |
Deep myometrial invasion |
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Anmerkungen: |
Date Completed 12.11.2021 Date Revised 12.11.2021 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1016/j.clinimag.2021.06.027 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM327715537 |
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500 | |a published: Print-Electronic | ||
500 | |a Citation Status MEDLINE | ||
520 | |a Copyright © 2021 Elsevier Inc. All rights reserved. | ||
520 | |a PURPOSE: This study investigates the differences in diagnostic performance between diffuse-weighted imaging (DWI) and dynamic contrast-enhanced imaging (DCE), either alone or in combination with T2-weighted imaging (T2WI), for diagnosing deep myometrial invasion (dMI) of endometrial cancers (EC) | ||
520 | |a METHODS: We performed a comprehensive search for published studies comparing DWI and DCE for preoperatively diagnosing dMI of EC. The overall diagnostic accuracy of each test was calculated using the areas under the summary receiver operating characteristic curves (AUCs). The sensitivities and specificities were compared using bivariate meta-regression | ||
520 | |a RESULTS: Pooled analysis of nineteen studies with 961 patients (main group) showed that DWI had a larger AUC (0.943, 95% confidence interval (CI) = 0.921-0.967) than DCE (0.922, 95% CI = 0.893-0.953). For the subgroup comprising 7 studies, DWI combined with T2WI and DCE combined with T2WI showed AUCs of 0.959 (95% CI, 0.932-0.986) and 0.929 (95% CI, 0.847-1.000), respectively. None of the differences in AUCs were statistically significant. All comparisons of the sensitivities and specificities of the main group and subgroup also showed no significant differences | ||
520 | |a CONCLUSION: This meta-analysis found no significant difference in diagnostic performance between DWI and DCE for diagnosis of dMI in EC. DWI may be preferred for its ease of use in clinical practice | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Meta-Analysis | |
650 | 4 | |a Deep myometrial invasion | |
650 | 4 | |a Diffusion-weighted imaging | |
650 | 4 | |a Dynamic contrast enhanced imaging | |
650 | 4 | |a Endometrial cancer | |
650 | 4 | |a Magnetic resonance imaging | |
650 | 4 | |a Meta-analysis | |
700 | 1 | |a Tseng, Yi-Ju |e verfasserin |4 aut | |
700 | 1 | |a Wee, Nicole Kessa |e verfasserin |4 aut | |
700 | 1 | |a Low, Jeffrey Jen Hui |e verfasserin |4 aut | |
700 | 1 | |a Tan, Cher Heng |e verfasserin |4 aut | |
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