Hongliang Sun1, Yanyan Xu1, Kaining Shi2, and Wu Wang1
1Radiology, China-Japan Friendship Hospital, Beijing, People's Republic of China, 2Philips Healthcare China, Beijing, People's Republic of China
Synopsis
Diffusion kurtosis imaging (DKI) is
an emerging technique, which could reflect restricted water diffusion within
the complex microstructure of most tissues based on non-Gaussian diffusion
model. It has been reported that DKI was used in central system
diseases, tumor grade, even assessment of treatment
response. However, there is limited research reported about the
clinical application of DKI in rectal cancer, and the value of DKI in
monitoring rectal cancer treatment was still unclear.
Synopsis
Neoadjuvant chemoradiation therapy (CRT)
followed by surgery has been established as the standard for locally advanced
rectal cancer1. The treatment response after CRT is normally
evaluated by MRI. However, MRI morphology techniques suffer from limitations in the interpretation
of fibrotic scar tissue and inflammation. Diffusion kurtosis imaging (DKI) is
an emerging technique, which could reflect restricted water diffusion within
the complex microstructure of most tissues based on non-Gaussian diffusion
model2. It has been reported that DKI was used in central system
diseases3-5, tumor grade6, even assessment of treatment
response7-9. However, there is limited research reported about the
clinical application of DKI in rectal cancer, and the value of DKI in
monitoring rectal cancer treatment was still unclear.Purpose
To retrospectively evaluate the role of
pretreatment diffusion kurtosis imaging (DKI) in differentiating patients with
locally advanced rectal cancers who will respond to long-course chemoradiation
therapy (CRT) from those who will not respond, with tumor regression grade
(TRG) obtained by postoperative pathological results as the reference standard.Methods
Forty-seven patients who underwent
pretreatment pelvis magnetic resonance imaging (MRI) examination followed
by CRT and surgery were enrolled in the study. All pelvis MRI examinations were
performed in 3.0T MR unit with diffusion-weighted imaging (DWI) sequences. DWI
sets with the corresponding HR-T2WI available for anatomic reference. Totally,
seven b values (0, 400, 800 1000, 1200, 1500 and 2000s/mm2) were
adopted and DKI derived parameters (MD, mean diffusivity; MK, mean kurtosist;
FA, fractional anisotropy) were measured independently by two radiologists
using software. The DKI parameters between CRT responders and non-responders
were compared by using independent samples t
test or Kolmogorov-Smirnov test, and relevant diagnostic performance in the
prediction of the response to CRT was evaluated by receiver operating
characteristic (ROC) analysis. The area under the ROC curve (AUC) and the
optimal cut-off values were calculated, meanwhile accuracy rate, sensitivity,
specificity, positive predictive value (PPV), and negative predictive value
(NPV) was determined. Correlations between TRG and DKI derived parameters were
also respectively analyzed using Spearman’s correlation coefficients. Interobserver
agreement of DKI derived parameter were evaluated using the intraclass
correlation coefficient (ICC). P<0.05 was considered to indicate a statistically
significant difference.Results
The two readers showed relatively good
interobserver agreement (ICC=0.7109-0.9004; narrow with of 95% limits of
agreement). 22 patients showed response to CRT and no-response was noted in 25
patients. MD values were significantly lower in CRT responders than in
non-responders (p=0.046), while MK and FA values showed different trend
(CRT responders: MK =0.97±0.19, FA=0.16±0.08; non-responders: MK =0.87±0.16, FA=0.09±0.05) (Table 1). According
to ROC curve, FA values demonstrated the higher
AUC (0.774), while MD presented with the lower AUC value (0.655). The optimal cutoff
values for FA and MD were 0.127 (FA values of CRT responders was greater than
this value; accuracy rate 68.09%, sensitivity 63.64%, specificity 72.00%, PPV
66.67%, NPV 69.23% ), 1.095×10-3mm2/s (MD values of CRT
responders was lower than this value; accuracy rate 59.57%, sensitivity 59.09%,
specificity 60.00%, PPV 56.52%, NPV 62.50% ), respectively. In addition, a
moderate negative correlation between pretreatment FA and postoperative TRG was
found (r=-0.370, p=0.01 ).Conclusion
Pretreatment
DKI parameters, especially FA, might be valuable non-invasive index to evaluate
response to CRT in locally advanced rectal cancer.
Acknowledgements
No acknowledgement found.References
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