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Diagnostic Accuracy of MRI for Solid Renal Masses: A Systematic Review and Meta-analysis.
Frank, Robert A; Dawit, Haben; Bossuyt, Patrick M M; Leeflang, Mariska; Flood, Trevor A; Breau, Rodney H; McInnes, Matthew D F; Schieda, Nicola.
Afiliação
  • Frank RA; Department of Radiology, University of Ottawa, Ottawa, Canada.
  • Dawit H; Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada.
  • Bossuyt PMM; School of Epidemiology, Public Health and Preventative Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
  • Leeflang M; Amsterdam University Medical Centers, University of Amsterdam, Epidemiology and Data Science, Amsterdam, the Netherlands.
  • Flood TA; Amsterdam University Medical Centers, University of Amsterdam, Epidemiology and Data Science, Amsterdam, the Netherlands.
  • Breau RH; Department of Anatomical Pathology, University of Ottawa, Ottawa, Canada.
  • McInnes MDF; Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada.
  • Schieda N; Department of Surgery, University of Ottawa, Ottawa, Canada.
J Magn Reson Imaging ; 57(4): 1172-1184, 2023 04.
Article em En | MEDLINE | ID: mdl-36054467
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma de Células Renais / Neoplasias Renais Tipo de estudo: Diagnostic_studies / Prognostic_studies / Systematic_reviews Limite: Adult / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma de Células Renais / Neoplasias Renais Tipo de estudo: Diagnostic_studies / Prognostic_studies / Systematic_reviews Limite: Adult / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article