Objective: We aimed to review the available evidence on the diagnostic performance of magnetic resonance imaging in differentiating malignant from benign small renal masses.

Methods: An electronic literature search of Web of Science, MEDLINE (Ovid and PubMed), Cochrane Library, EMBASE, and Google Scholar was performed to identify relevant articles up to 31 January 2023. We included studies that reported the diagnostic accuracy of using magnetic resonance imaging to differentiate small (≤4 cm) malignant from benign renal masses. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were calculated using the bivariate model and the hierarchical summary receiver operating characteristic model. The study quality evaluation was performed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool.

Results: A total of 10 studies with 860 small renal masses (815 patients) were included in the current meta-analysis. The pooled sensitivity and specificity of the studies for the detection of malignant masses were 0.85 (95% CI 0.79-0.90) and 0.83 (95% CI 0.67-0.92), respectively.

Conclusions: MRI had a moderate diagnostic performance in differentiating small malignant renal masses from benign ones. Substantial heterogeneity was observed between studies for both sensitivity and specificity.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591109PMC
http://dx.doi.org/10.3389/fonc.2023.1194128DOI Listing

Publication Analysis

Top Keywords

renal masses
16
sensitivity specificity
12
small malignant
8
malignant renal
8
diagnostic performance
8
magnetic resonance
8
resonance imaging
8
malignant benign
8
small renal
8
diagnostic accuracy
8

Similar Publications

Patient engagement and shared decision-making (SDM) between patients and clinicians is the foundation of patient-centered care. It aims to reach a treatment option that fits the patient's preference and is guideline-concordant. We sought to evaluate the possible causes and outcomes of patient's non-guideline-concordant care choices.

View Article and Find Full Text PDF

Phosphaturic mesenchymal tumor (PMT) is a rare benign mesenchymal tumor characterized by excessive secretion of fibroblast growth factor 23 (FGF23), leading to phosphate loss and systemic osteomalacia. Despite recent progress in PMT research, no consensus on diagnosis and treatment guidelines has been established. This case series describes the clinical and pathological features of six pathologically confirmed PMT patients treated at the Third Affiliated Hospital of Sun Yat-sen University from 2010 to 2024, aiming to provide new insights for the management of this condition.

View Article and Find Full Text PDF

Background: The Bosniak classification is designed to standardize evaluation of cystic renal masses and to communicate the risk of malignancy.

Purpose: To determine whether radiologists vary in their communication of Bosniak class III and IV cystic renal masses.

Material And Methods: This retrospective study included 186 patients with CT or MRI reporting a Bosniak class III or IV mass.

View Article and Find Full Text PDF

Background: Rosai-Dorfman disease (RDD), also known as sinus histiocytosis with massive lymphadenopathy, is a rare non-malignant disorder characterized by excessive proliferation of histiocytes, the cause of which remains unknown. Although the lymph nodes are the most commonly affected site, some patients may present with extranodal involvement, particularly in the skin, nasal cavity, eyes, and bones. In this report, we aim to present a unique case of RDD with pleural involvement in a 61-year-old patient.

View Article and Find Full Text PDF

Objectives: To evaluate the concordance between the intraoperative visual assessment of the tumor bed for completeness of resection following partial nephrectomy and the permanent section analysis of biopsies taken from the tumor bed.

Methods: Patients undergoing partial nephrectomy at 2 university hospitals were prospectively enrolled. R.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!