title: Imaging approach to the suspected renal mass.
abstract: The authors present their algorithmic approach to the detection, characterization, and staging of renal masses. Based on classification of urographic findings, the patient may be triaged to the appropriate cross-sectional or invasive imaging modality that will result in the most cost-effective management.
mesh_terms: D000038:Abscess / Q000175:diagnosis; D000328:Adult; D000792:Angiography; D002114:Calcinosis / Q000175:diagnosis; D002292:Carcinoma, Renal Cell / Q000175:diagnosis; D003937:Diagnosis, Differential; D006417:Hematuria / Q000209:etiology; D006801:Humans; D007668:Kidney / Q000002:abnormalities; D007674:Kidney Diseases / Q000175:diagnosis* / Q000000981:diagnostic imaging; D052177:Kidney Diseases, Cystic / Q000175:diagnosis; D007680:Kidney Neoplasms / Q000175:diagnosis / Q000556:secondary; D007682:Kidney Pelvis; D009367:Neoplasm Staging / Q000379:methods; D009393:Nephritis / Q000209:etiology; D007690:Polycystic Kidney Diseases / Q000175:diagnosis; D011705:Pyelonephritis, Xanthogranulomatous / Q000175:diagnosis; D014057:Tomography, X-Ray Computed; D014463:Ultrasonography; D009396:Wilms Tumor / Q000175:diagnosis