Purpose
To investigate the efficacy of histogram analysis of the entire tumor volume in apparent diffusion coefficient (ADC) maps for differentiating between histological grades in gastric cancer.
Materials and Methods
Seventy-eight patients with gastric cancer were enrolled in a retrospective 3.0T magnetic resonance imaging (MRI) study. ADC maps were obtained at two different b values (0 and 1000 sec/mm2) for each patient. Tumors were delineated on each slice of the ADC maps, and a histogram for the entire tumor volume was subsequently generated. A series of histogram parameters (eg, skew and kurtosis) were calculated and correlated with the histological grade of the surgical specimen. The diagnostic performance of each parameter for distinguishing poorly from moderately well-differentiated gastric cancers was assessed by using the area under the receiver operating characteristic curve (AUC).
Results
There were significant differences in the 5th, 10th, 25th, and 50th percentiles, skew, and kurtosis between poorly and well-differentiated gastric cancers (P < 0.05). There were correlations between the degrees of differentiation and histogram parameters, including the 10th percentile, skew, kurtosis, and max frequency; the correlation coefficients were 0.273, –0.361, –0.339, and –0.370, respectively. Among all the histogram parameters, the max frequency had the largest AUC value, which was 0.675.
Conclusion
Histogram analysis of the ADC maps on the basis of the entire tumor volume can be useful in differentiating between histological grades for gastric cancer. J. Magn. Reson. Imaging 2016.
from #MedicinebyAlexandrosSfakianakis via xlomafota13 on Inoreader http://ift.tt/295vvRY
via IFTTT
Δεν υπάρχουν σχόλια:
Δημοσίευση σχολίου