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Small renal cell carcinomas: resolving a diagnostic dilemma.
M A Amendola1, R L Bree, H M Pollack
1Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia 19104.
Radiology
|March 1, 1988
Summary
Computed tomography (CT) is the best imaging method for small renal cell carcinomas, offering higher sensitivity than intravenous urography, ultrasound, or angiography. CT-guided biopsy also improves diagnostic accuracy for these small tumors.
Area of Science:
- Radiology
- Urologic Oncology
- Diagnostic Imaging
Background:
- Small renal cell carcinomas (RCCs) are increasingly detected in clinical practice.
- Accurate imaging is crucial for the diagnosis and management of small RCCs.
- Various imaging modalities have been employed for the detection of renal masses.
Purpose of the Study:
- To evaluate and compare the diagnostic sensitivity of different imaging techniques for small renal cell carcinomas (≤3 cm).
- To determine the optimal imaging modality for characterizing small renal masses.
Main Methods:
- Retrospective analysis of 39 patients with pathologically confirmed small renal cell carcinomas.
- Comparison of diagnostic performance for intravenous urography (n=30), renal ultrasound (US) (n=29), computed tomography (CT) (n=36), and selective renal angiography (n=35).
- Assessment of percutaneous fine-needle aspiration biopsy sensitivity under US and CT guidance.
Main Results:
- Computed tomography (CT) demonstrated the highest sensitivity (94%) for detecting small renal cell carcinomas, with only two false negatives.
- Renal ultrasound (US) sensitivity was 79%, intravenous urography was 67%, and selective renal angiography was 74%.
- CT-guided fine-needle aspiration biopsy showed significantly higher sensitivity (62%) compared to US-guided biopsy (20%).
Conclusions:
- Small renal cell carcinomas are more common than previously thought.
- Computed tomography (CT) is the most effective imaging modality for the detection and characterization of small renal cell carcinomas.
- CT guidance enhances the diagnostic accuracy of fine-needle aspiration biopsy for small renal masses.