Diagnostic Performance of MRI to Differentiate Uterine Leiomyosarcoma from Benign Leiomyoma: A Meta-Analysis
| Autor: | Radwan Diab, Sarah Palmquist, Priya Bhosale, Roland L. Bassett, Mayur Virarkar |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Leiomyosarcoma
lcsh:Medical physics. Medical radiology. Nuclear medicine medicine.diagnostic_test business.industry Uterine leiomyosarcoma lcsh:R895-920 Magnetic resonance imaging meta-analysis leiomyosarcoma and leiomyoma medicine.disease Signal on MRI ADC systematic review 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Leiomyoma 030220 oncology & carcinogenesis Meta-analysis Statistical significance Medicine Effective diffusion coefficient Radiology Nuclear Medicine and imaging Original Article business Nuclear medicine |
| Zdroj: | Journal of the Belgian Society of Radiology Journal of the Belgian Society of Radiology, Vol 104, Iss 1 (2020) Journal of the Belgian Society of Radiology; Vol 104, No 1 (2020); 69 |
| ISSN: | 2514-8281 |
| Popis: | Purpose: To perform a meta-analysis comparing the diagnostic performance of increased signal intensity on T1- and T2-weighted magnetic resonance images and apparent diffusion coefficient (ADC) values in differentiating uterine leiomyosarcoma (LMS) from benign leiomyoma (LM). Methods: A systematic literature search for original studies was performed using PubMed/MEDLINE, the Cochrane Library, Embase, and Web of Science. Data necessary for the meta-analysis was extracted from the selected articles and analyzed. Results: Eight studies with 795 patients met our predefined inclusion criteria and were included in the analysis. Increased signal on T1-weighted imaging had a pooled sensitivity of 56.8% (95% CI: 20%–87.4%) for LMS (n = 60) which was significantly higher than 7.6% (95% CI: 2.2%–22.7%) for LM (n = 1272) ('p' = 0.0094). Increased signal analysis on T2-weighted imaging had a pooled sensitivities of 93.2% and 93.2% (95% CI: 45.7%–99.6% and 42.9%–99.6%) for LMS (n = 90), which were not significantly different from the 54.5% and 53.9% (95% CI: 33.6%–74%, 32%–74%) for LM (n = 215) ('p' = 0.102 and 0.112). On ADC value analysis, LMS (n = 43) had a weighted mean and standard deviation of 0.896 ± 0.19 10–3 mm2/s, 0.929 ± 0.182 10–3 mm2/s, which were significantly lower from 1.258 ± 0.303 10–3 mm2/s, 1.304 ± 0.303 10–3 mm2/s for LM (n = 159) ('p' = < 0.0001, < 0.0001). Conclusion: Our meta-analysis demonstrated that high signal intensity on T1-weighted images and low ADC values can accurately differentiate LMS from LM. Although, LMS had a higher pooled sensitivity for T2-weighted increased signal intensity compared to LM, there was no statistical significance. |
| Databáze: | OpenAIRE |
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