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J Nucl Med. 2008; 49 (Supplement 1):383P
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Instrumentation & Data Analysis: Data Analysis & Management

Data Analysis & Management Posters

Comparison of different SUV-based methods for response prediction to neoadjuvant radiochemotherapy in locally advanced rectal cancer by FDG-PET/CT

Praus Christine1, Ralph Bundschuh1, Ken Herrmann1, Robert Rosenberg2, Jens Stollfuss3, Karen Becker4, Sybille Ziegler1, Helmut Friess2, Markus Schwaiger1 and Bernd-Joachim Krause1

1 Nuclear Medicine; 2 Surgery; 3 Radiology; 4 Pathology, TU Munich, Munich, Germany

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Objectives: The aim of this study was to compare different SUV-based analysis methods of F-18-FDG PET/CT data for prediction of histopathological response (HPR) to neoadjuvant radiochemotherapy (RCTx) in patients with rectal cancer.

Methods: 28 patients with uT3 rectal cancer underwent serial FDG-PET/CT scans at baseline, 14 days after initiation and after completion of RCTx. FDG uptake was assessed by calculating the mean SUV within different geometries: standard 2D region of interest (ROI, diameter 1.5 cm) and 3D volumes of interest (VOIs) with a fixed diameter as well as threshold based VOIs. Changes between SUVs at the defined time points were calculated and analysed for their potential to predict HPR to RCTx (ROC analysis).

Results: Histopathology classified eight of 28 patients as non-responders and 20 patients as responders to RCTx. ROC analysis of the standard 2D ROI technique revealed areas under the curve (AUCs) of 0.649 and 0.702 for the early and late time point. Corresponding AUCs for 3D VOI techniques resulted in AUCs ranging from 0.694 - 0.722 (early time point) and 0.762 - 0.786 (later time point), respectively. AUCs of isocontours with a fixed or organ-defined cut-off showed values of 0.667 - 0.684 (early time point) and 0.595 - 0.667 (later time point).

Conclusions: Our pilot study demonstrates that 3D based approaches for assessing SUV values result in better AUC values for prediction of HPR to neoadjuvant RCTx in patients with rectal cancer.





This Article
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Right arrow Articles by Krause, B.-J.