Angiomyolipoma (AML) without visible fat: Ultrasound, CT and MR imaging features with pathological correlation
Objective To compare imaging findings with histopathology in AML without visible fat (AML wvf ). Material and methods With IRB approval, we identified 18 AML wvf that underwent CT between 2002-2014. A radiologist measured NECT-attenuation, corticomedullary (CM) and nephrographic (NG) enhancement, ec...
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Veröffentlicht in: | European radiology 2016-02, Vol.26 (2), p.592-600 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Objective
To compare imaging findings with histopathology in AML without visible fat (AML
wvf
).
Material and methods
With IRB approval, we identified 18 AML
wvf
that underwent CT between 2002-2014. A radiologist measured NECT-attenuation, corticomedullary (CM) and nephrographic (NG) enhancement, echogenicity relative to renal cortex (RC) (
N
= 5), T2W (T2
AML
/T2
RC
) signal-intensity (SI), and chemical-shift SI ([SI
IN-PHASE
− SI
OPPOSED-PHASE
]/SI
IN-PHASE
) indices (
N
= 6). A pathologist re-evaluated 15/18 AML
wvf
for 1) 25 % adipocytes/high-power-field (HPF), 2) “many or few” blood vessels. Comparisons were performed using chi-square and independent
t
-tests.
Results
73.3 %(11/15) of AML
wvf
had 0.05). All AML
wvf
were T2-hypointense (SI ratio = 0.61 [±0.1]). 2/6 AML
wvf
showed SI drop on chemical-shift MRI; both were iso-attenuating and were associated with >25 % adipocytes/HPF (
p
= 0.04).
Conclusions
AML
wvf
are typically T2-hypointense and hyper-attenuating with wash-out enhancement due to abundant smooth muscle and vessels respectively. Iso-attenuating AML
wvf
with microscopic fat on MRI contain more adipocytes/HPF.
Key Points
•
Five percent of AML do not demonstrate detectable fat on imaging
•
These AML are hyperattenuating and T2-hypointense due to abundant smooth muscle
•
These AML show washout enhancement without association to vessel count at histopathology
•
Iso-attenuating AML with microscopic fat on MRI show >25 % adipocytes/HPF
•
The term “AML without visible fat” is proposed to reduce ambiguity |
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ISSN: | 0938-7994 1432-1084 |
DOI: | 10.1007/s00330-015-3851-8 |