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IMAGING
Comparison of 16-MDCT and MRI for Characterization of Kidney Lesions
Beer AJ, Dobritz M, Zantl N, Weirich G, Stollfuss J, Rummeny EJ
Department of Radiology, Technische Universitaet Munichen, Munich, Germany
AJR Am J Roentgenol. 2006; 186: 1639-50
- Objective:
The
objective of our study was to compare the diagnostic performance of
16-MDCT with that of MRI in the characterization of kidney lesions.
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Subjects and Methods:
Twenty-eight patients with kidney lesions detected with sonography and
requiring further evaluation were examined. MDCT was performed in the
unenhanced, arterial, and portal venous phases. MRI was performed at
1.5 T with T2- and T1-weighted and dynamic gadolinium-enhanced sequences.
Consensus reading was done by two radiologists. Image quality was rated
on a four-point scale. Classification of lesions as surgical or nonsurgical
was done with five levels of confidence, and it was required that a
definite diagnosis be assigned to each lesion. The 1997 TNM classification
was used for staging. Statistical analysis was done by receiver operating
characteristic analysis or paired Student’s t test. Histologic
or follow-up findings at least 12 months after the primary diagnosis
served as the standard of reference.
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Results: The
image quality of MDCT (mean grade, 2.79 on a 0-3 scale) was superior
to that of MRI (1.93; p < 0.01). The area under the curve for differentiating
surgical from nonsurgical lesions was 0.979 for MDCT and 0.957 for MRI
with resulting sensitivity and specificity values of 92.3% and 96.3%
for MDCT and 92.3% and 91.3% for MRI. Sensitivity and specificity for
definite classification of the lesions were 93.8% and 68.4% for MDCT
and 93.8% and 71.4% for MRI.
-
Conclusion:
Both MDCT and MRI are excellent for differentiating surgical from nonsurgical
kidney lesions. Both methods have low specificity for the differentiation
of benign from malignant lesions.
- Editorial
Comment
In this interesting original study, the authors compared the performance
of state of the art, 16 channel-MDCT and 1.5 T MRI in the characterization
of renal lesions previously detected by ultrasound in the same patient
group. Due the presence of artifacts on MR examinations, MDCT proved
superior to MRI with regard to image quality. Both MDCT and MRI however
proved excellent for differentiating surgical from nonsurgical kidney
lesions (sensitivity and specificity of 92.3% and 96.3% for MDCT and
92.3% and 91.3% for MRI). It is also interesting to note that both MDCT
and MRI correctly depicted 15 of 16 renal cell carcinomas (sensitivity,
93.3%) but both technique had similar limitation for depiction of benign
lesions (specificity, 68.4% and 71.4% respectively). This occurred because
both methods were unable to differentiate between oncocitoma and renal
cell carcinoma. This study confirms the classic limitation of imaging
methods regarding the criteria for identification of enlarged lymph
node as metastatic disease from renal cancer. In this series the authors
reports that both MDCT and MRI interpretation led to overstaging 3 and
4 lesions respectively, due to the presence of enlarged lymph node(>
15 mm), currently criteria for interpreting as malignant but with reactive
changes at histological examination. In our experience, MDCT and fast
MR imaging has similar specificity for the detection, characterization
and staging of solid renal masses larger than 1.0 cm in diameter. Similarly
to the authors´ experience, we consider MDCT superior for the
detection of very small solid renal lesions (< 1.0 cm), but fast
MRI and sometimes high-resolution ultrasound, are in some cases superior
for the evaluation of complicated renal cystic masses. MRI and occasionally
ultrasound better demonstrates internal septations, thickening of the
cyst wall and/or septa. MRI better demonstrates areas of abnormal enhancement.
In both situations, these additional findings will transform a nonsurgical
into a surgical cystic mass (1).
Reference
1. Israel GM, Hindman N, Bosniak MA: Evaluation of cystic renal masses:
comparison of CT and MR imaging by using the Bosniak classification system.
Radiology. 2004; 231: 365-71.
Dr.
Adilson Prando
Chief, Department of Radiology
Vera Cruz Hospital
Campinas, Sao Paulo, Brazil |