Synopsis
Keywords: Kidney, Kidney, Clear cell likelihood score; Clear cell renal cell carcinoma
Whether T
2-weighted imaging
with or without fat suppression technique affects the performance
of Clear Cell Likelihood Score v2.0 (ccLS v2.0) for diagnosing ccRCC in SRMs is
not known. The final results showed that the tumor signal intensity between
T
2-weighted imaging with and without fat suppression was
statistically significant (
P < 0.001), but diagnostic performance and
interobserver agreement of ccLS v2.0 in the diagnosis of ccRCC based on the two
imaging techniques was comparable (
P>0.05). Fat-suppressed
T2-weighted imaging is also applicable to ccLS v2.0. This finding is helpful to
expand the clinical application scope of ccLS and increase its clinical
universality.
Abstract
Introduction
Clear cell renal cell
carcinoma (ccRCC) is the most common malignant subtype in solid small renal masses (SRMs),1-3 Clear
Cell Likelihood Score (ccLS) is a 5-point scoring system based on
magnetic resonance imaging (MRI), which is extremely useful
in the diagnosis and prognosis of ccRCC.4-13 In the ccLS v2.0, T2 signal intensity of renal tumors, the enhancement degree of corticomedullary phase, and the presence of microscopic
fat and other imaging signs are taken into account. T2 signal
intensity of the tumor is one of the main diagnostic criteria of ccLS, and it
is the first step in the diagnostic process of ccLS, which is an important component
of the ccLS score.14 Although it is not mandatory, ccLS first
recommends T2-weighted imaging without fat suppression technique,
followed by T2-weighted imaging with fat
suppression technique.9 However, fat suppression T2WI
sequence is more widely used in clinical practice. So this study aims to
compare whether T2-weighted imaging with or without fat suppression
technique affects the diagnostic performance and interobserver agreement of
ccLS v2.0 for diagnosing ccRCC in solid SRMs.
Methods In this retrospective study, the clinical data and MR images of 111
patients (77 males and 34 females, mean age 55±12 years) with pathologically
confirmed solid SRMs from January 2021 to December 2021
at our institution were analyzed. Two radiologists independently assessed the
tumor signal intensity (hypointense, isointense, hyperintense) on T2-weighted
imaging with and without fat suppression, other MRI features and the ccLS
scores according to ccLS v2.0, respectively. Disagreements were
resolved by consensus. Receiver operating
characteristic curves (ROC) were generated to evaluate the diagnostic
performance of ccLS v2.0 depending on T2-weighted imaging with and
without fat-suppressed technique. Cohen's Kappa was used to evaluate the interobserver agreement between two
radiologists' scores.
Results The tumor signal intensity between T2-weighted
imaging with and without fat suppression technique was statistically
significant (P < 0.001). On T2-weighted
imaging without fat suppression technique, the
accuracy, sensitivity, specificity, positive predictive value (PPV), negative
predictive value (NPV), area under the curve (AUC) of ccLS v2.0 were 85.6%,84.1%,89.7%,95.8%,66.7%, 0.92 [95% confidence
interval (95%CI):0.86, 0.97],
respectively. On frequency-selective saturation T2-weighted imaging,
the accuracy, sensitivity, specificity, PPV, NPV and AUC of ccLS v2.0 were
83.8%,81.7%,89.7%,95.7%,63.4%,0.91 (95%CI:0.85, 0.96), respectively, and
the differences were not statistically significant (P > 0.05). The
interobserver agreements for ccLS v2.0 on
T2-weighted imaging with and without fat suppression were 0.55
(95%CI:0.42 ~ 0.67) and 0.57 (95%CI:0.45~0.69), and the
differences were not statistically significant (P > 0.05).
Discussion
The results showed that 20.7% (23/111) of SRM patients showed decreased signal intensity on T2-weighted imaging with fat suppression compared with T2-weighted imaging without fat suppression (P<0.001). The reason may be that the
frequency selective saturation method causes fat molecules to be continuously
excited by applying pre-pulse, fat molecules no longer accept energy, so they
do not produce signals, and microscopic fat as intracellular triglycerides, there is also a certain degree of signal reduction.15-19 Among the
23 SRMs with different signal intensities in this study, renal tumors containing
microscopic fat accounted for about 43.5% (10/23).
In this study, the differences of diagnostic performance in the ccLS
v2.0 on T2-weighted imaging with and without
fat suppression technique were not statistically significant (P>0.05).
The main reasons for the analysis are as follows: firstly, in both MR imaging
techniques, 79.3%(88/111) SRMs have the same signal intensity, the final ccLS
score is the same, and the diagnosis result is the same. Secondly, for cases
with inconsistent T2 signal intensity (13/23) were iso-and hyper-signal
differences. According to ccLS v2.0, lesions with iso- and hyper-signal
intensity on T2WI and intense enhancement in the corticomedullary
phase followed the same diagnostic process, so they were likely to be diagnosed
as ccRCC, so the final results were not affected. Thirdly, among the 4 cases
whose T2WI signal intensity is inconsistent, which results in the
change of ccLS score, because the ccLS score of 4 or 5 can be diagnosed as a
ccRCC, 50%(2/4) have not had their final diagnosis altered. Reducing the influence of T2 signal intensity variations in renal tumors on the scoring system's diagnostic performance demonstrates that the scoring system is stable. However, the results of this study showed that 2 cases of ccRCC were
misdiagnosed as benign tumors due to the use of fat suppression technique. We
still need to investigate whether the fat suppression technique will have an
effect on the diagnostic performance of ccLS v2.0 when including larger data,
however, ccLS v2.0 based on T2-weighted imaging with fat suppression can also provide some reference
for the daily diagnosis of young radiologists.20-22
Conclusion Fat-suppressed T2-weighted imaging is also applicable to ccLS
v2.0, and has the similar performance
as the T2-weighted imaging without fat-suppression. Acknowledgements
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