The mean±SD for the percentage activity and percentage activity/unit length for the different segments of the colon.

<p>The mean±SD for the percentage activity and percentage activity/unit length for the different segments of the colon.</p

Image clearly showing ¹⁸FDG the in the descending colon (DC) and the sigmoid and rectum (S&R).

<p>The outline of the caecum and ascending colon (C&AC) can also be clearly seen. Note that only the left hand end (right hand end on the image) of the transverse colon (TC) is clearly visible. The transverse colon (TC) is approximately horizontal and extends from just below the lowest point in the liver (which can be clearly seen) to the top of the descending colon.</p

The median and mean±SD scores across all observers for the activity in different segments of the colon.

<p>The median and mean±SD scores across all observers for the activity in different segments of the colon.</p

Probabilities of a difference in the ¹⁸FDG activity/unit length between different segments of the colon for 10 subjects.

<p>The mean and standard deviation values are given in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0147838#pone.0147838.t003" target="_blank">Table 3</a>. Statistically significant differences at p <0.05 (corresponding to p < 0.0083 with the Bonferroni correction) are shown in bold.</p

The 25^th centile, median, 75^th centile of the scores from 5 observers for the presence of ¹⁸FDG in the 4 sections of the colon

<p>The 25^th centile, median, 75^th centile of the scores from 5 observers for the presence of ¹⁸FDG in the 4 sections of the colon</p

Probabilities of a difference in the total ¹⁸FDG activity between different segments of the colon for 10 subjects.

<p>The mean and standard deviation values are given in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0147838#pone.0147838.t003" target="_blank">Table 3</a>. Statistical significance at p < 0.05 requires p < 0.0083 with the Bonferroni correction.</p

Results of the machine learning analysis.

<p>Shown here are the ROC curve Area-Under-Curve (AUC) scores, sensitivities and specificities for three classification algorithms. The values are computed using a leave-one-out cross-validation. The 95% confidence intervals are shown in brackets. The sensitivities and specificities are determined from the ROC curve, selecting in each case a threshold that gives good values for both.</p><p>Results of the machine learning analysis.</p

Tissue Transglutamase (TTG) titres at time of specimen collection and Marsh scores at diagnosis.

<p>*HLADQ2+.</p><p>N.B. 2 patients did not have their Marsh scores available, both were established on long term gluten free diets and had a tTG titre of <1 kU/L at the time of urine collection.</p><p>Tissue Transglutamase (TTG) titres at time of specimen collection and Marsh scores at diagnosis.</p

Scatter plot of TTG serology vs classification probability for Coeliac cases.

<p>The classification probabilities are the probability of a given patient having Coeliac disease, as determined by the sparse logistic regression algorithm. The overall correlation of these points is 0.28. One outlying point with TTG>60 kU/L has been removed.</p

Demographic data of subjects.

<p>Demographic data of subjects.</p