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Related Experiment Videos

Infiltrative renal lesions: CT-sonographic-pathologic correlation.

D S Hartman1, A J Davidson, C J Davis

  • 1Department of Radiologic Pathology, Armed Forces Institute of Pathology, Washington, DC 20306-6000.

AJR. American Journal of Roentgenology
|May 1, 1988
PubMed
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This study analyzed CT and sonographic findings in 23 infiltrative renal lesions. Key indicators for diagnosing infiltrative kidney diseases include mass margins, architecture, and effects on the collecting system and sinus.

Area of Science:

  • Radiology
  • Oncology
  • Nephrology

Background:

  • Infiltrative renal lesions present diagnostic challenges.
  • Distinguishing between infiltrative and expansile masses is crucial for accurate diagnosis and treatment planning.

Purpose of the Study:

  • To analyze computed tomography (CT) and sonographic findings in infiltrative renal lesions.
  • To identify imaging features that help differentiate various infiltrative diseases of the kidney.

Main Methods:

  • Retrospective analysis of CT and sonographic data from 23 patients with infiltrative renal lesions.
  • Evaluation of specific imaging characteristics including mass margins, density, pelvocaliceal displacement, sinus fat involvement, and perirenal extension.
  • Sonographic assessment focused on mass echogenicity and impact on renal sinus echoes.

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Main Results:

  • Common CT and sonographic findings of infiltrative growth included poorly defined margins, trapped infundibulae, calicectasis, diminished contrast enhancement, and replacement of central sinus fat.
  • The reniform (kidney) shape was preserved in most cases (19/20 CT, 13/15 sonography).
  • Specific findings like loss of central sinus echoes and variable parenchymal echogenicity were noted.

Conclusions:

  • Analysis of lesion margins, internal architecture, and effects on the collecting system and renal sinus are valuable for diagnosing infiltrative renal diseases.
  • CT and sonography provide complementary information for characterizing infiltrative renal abnormalities.
  • Imaging features can aid in differentiating conditions such as transitional cell carcinoma, lymphoma, and metastatic disease within the kidney.