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Published on: December 15, 2014
Apparent diffusion coefficient measurement covering complete tumor area better predicts rectal cancer response to
Ivana Blažić1, Ružica Maksimović, Milan Gajić
1Ivana Blažić, 480 Main Street, New York 10044, NY, USA, ivanablazic@yahoo.com.
Aim:
To determine the impact of two apparent diffusion coefficient (ADC) measurement techniques on diffusion-weighted magnetic resonance images (DW MRI) on the assessment of rectal cancer response to neoadjuvant chemoradiotherapy (CRT).
Methods:
ADC values were measured prospectively with two different techniques - the first, which measures ADCs in the most cellular tumor parts, and the second, which measures the entire tumor area, in 58 patients with locally advanced rectal cancer on pre-CRT and post-CRT image sets. Areas under the receiver operating characteristic curves (AUCs) and parameters of diagnostic accuracy were calculated for pre- and post-CRT ADC values and numeric and percent ADC change for each technique to determine their performance in tumor response evaluation using histopathological tumor-regression grade as the reference standard.
Results:
The second technique yielded higher AUCs (0.935 vs 0.704, P<.001), percent-change (0.828 vs 0.636, P<0.001), and numeric-change (0.866 vs 0.653, P<0.001) than the first technique for post-CRT ADC. Accuracies for post-CRT ADC assessment were 62% for the first and 88% for the second technique (cut-off values: 0.98 and 1.29×10(-3) mm2/s, respectively) and for ADC change assessment, both numeric and percent, 59% and 74%, respectively (cut-off values: increase of 0.18 and 0.28×10(-3) mm(2)/s; increase of 24% and 37%, respectively).
Conclusions:
The type of measurement technique significantly affected ADC results. ADC measurements covering a larger area better predicted tumor response to therapy. Post-CRT ADCs, regardless of the measurement technique, and numeric ADC change measured in the whole tumor volume accurately identified non-complete responders. Post-CRT ADCs measured in the entire tumor area yielded the highest accuracy level in tumor response evaluation.
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