Diagnostic Accuracy of MRI for Solid Renal Masses: A Systematic Review and Meta-analysis

Autor: Robert A. Frank, Haben Dawit, Patrick M. M. Bossuyt, Mariska Leeflang, Trevor A. Flood, Rodney H. Breau, Matthew D. F. McInnes, Nicola Schieda
Přispěvatelé: Graduate School, Epidemiology and Data Science, APH - Methodology, APH - Personalized Medicine
Rok vydání: 2022
Předmět:
Zdroj: Journal of magnetic resonance imaging. John Wiley and Sons Inc.
ISSN: 1522-2586
1053-1807
Popis: Background: Biparametric (bp)-MRI and multiparametric (mp)-MRI may improve the diagnostic accuracy of renal mass histology. Purpose: To evaluate the available evidence on the diagnostic accuracy of bp-MRI and mp-MRI for solid renal masses in differentiating malignant from benign, aggressive from indolent, and clear cell renal cell carcinoma (ccRCC) from other histology. Study Type: Systematic review. Population: MEDLINE, EMBASE, and CENTRAL up to January 11, 2022 were searched. Field Strength/Sequence: 1.5 or 3 Tesla. Assessment: Eligible studies evaluated the accuracy of MRI (with at least two sequences: T2, T1, dynamic contrast and diffusion-weighted imaging) for diagnosis of solid renal masses in adult patients, using histology as reference standard. Risk of bias and applicability were assessed using QUADAS-2. Statistical Tests: Meta-analysis using a bivariate logitnormal random effects model. Results: We included 10 studies (1239 masses from approximately 1200 patients). The risk of bias was high in three studies, unclear in five studies and low in two studies. The diagnostic accuracy of malignant (vs. benign) masses was assessed in five studies (64% [179/281] malignant). The summary estimate of sensitivity was 95% (95% confidence interval [CI]: 77%–99%), and specificity was 63% (95% CI: 46%–77%). No study assessed aggressive (vs. indolent) masses. The diagnostic accuracy of ccRCC (vs. other subtypes) was evaluated in six studies (47% [455/971] ccRCC): the summary estimate of sensitivity was 85% (95% CI: 77%–90%) and specificity was 77% (95% CI: 73%–81%). Data Conclusion: Our study reveals deficits in the available evidence on MRI for diagnosis of renal mass histology. The number of studies was limited, at unclear/high risk of bias, with heterogeneous definitions of solid masses, imaging techniques, diagnostic criteria, and outcome measures. Evidence Level: 3. Technical Efficacy: Stage 2.
Databáze: OpenAIRE
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