MR imaging in the characterization of small renal masses

Jonathon M Willatt1, Hero K Hussain, Suzanne Chong

  • 1Department of Radiology, University of Michigan, Ann Arbor, MI, USA, jwillatt@med.umich.edu.

Abdominal Imaging
|March 12, 2014
PubMed
Abstract

Insights

Magnetic resonance imaging (MRI) effectively characterizes small renal masses (<2 cm) that appear indeterminate on ultrasound (US) or computed tomography (CT). This imaging modality demonstrates high sensitivity and specificity in differentiating benign from malignant lesions.

Area of Science:

  • Radiology
  • Medical Imaging
  • Oncology

Background:

  • Small renal masses (<2 cm) often present as indeterminate findings on ultrasound (US) or computed tomography (CT).
  • Accurate characterization of these lesions is crucial for appropriate patient management and avoiding unnecessary interventions.

Purpose of the Study:

  • To evaluate the diagnostic effectiveness of magnetic resonance (MR) imaging for characterizing small renal lesions (<2 cm) initially deemed indeterminate by US or CT.
  • To assess the accuracy of MR imaging in differentiating benign from malignant small renal masses.

Main Methods:

  • Retrospective analysis of 63 small renal masses in 51 patients, previously classified as indeterminate.
  • Independent review by two body MRI radiologists using a 3-point confidence scale for malignancy suspicion.
  • Diagnosis verification through imaging follow-up (≥24 months) or pathological examination.

Main Results:

  • MR imaging detected all eight malignancies present in the study cohort.
  • High diagnostic performance: sensitivity 100%, specificity 94.5%, positive predictive value 72.7%, and negative predictive value 100%.
  • Excellent interobserver agreement (kappa = 0.77) was observed among radiologists.

Conclusions:

  • MR imaging is a highly effective tool for characterizing small renal masses (<2 cm) that are indeterminate on US or CT.
  • MRI provides accurate differentiation between benign and malignant small renal lesions, aiding clinical decision-making.

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