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Original Articles

Early prediction of pathological response in locally advanced rectal cancer based on sequential 18F-FDG PET

, , , , &
Pages 619-626 | Received 09 Mar 2012, Accepted 02 Jun 2012, Published online: 08 Aug 2012

Figures & data

Table I. Patients' characteristics.

Figure 1. Illustration of the baseline scan (on the left) and the scan at 2 weeks (PET3, on the right) for (A) a responder and (B) a non-responder. The green contour is the FLAB delineation.

Figure 1. Illustration of the baseline scan (on the left) and the scan at 2 weeks (PET3, on the right) for (A) a responder and (B) a non-responder. The green contour is the FLAB delineation.

Table II. Baseline values and evolution (RIs) of each PET derived parameter with respect to baseline values.

Table III. Predictive value of each parameter baseline values and RIs using ROCs analysis. Only parameters for which a significant correlation was found [see appendix, to be found online, at http://www.informahealthcare.com/doi/abs/10.3109/0284186X.2012.702923] are included.

Figure 2. ROCs examples for prediction of non-responders (n = 16), using (A) SUVmean with or without PVC, (B) TLG and SUVmean RI3, and (C) logistic regression combining baseline MATV and SUVmean values and their evolution after 8 and 15 days, with and without PVC.

Figure 2. ROCs examples for prediction of non-responders (n = 16), using (A) SUVmean with or without PVC, (B) TLG and SUVmean RI3, and (C) logistic regression combining baseline MATV and SUVmean values and their evolution after 8 and 15 days, with and without PVC.
Supplemental material

Supplementary Appendix

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