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Prognostic Aspects of 18F-FDG PET Kinetics in Patients with Metastatic Colorectal Carcinoma Receiving FOLFOX Chemotherapy

Antonia Dimitrakopoulou-Strauss, MD1, Ludwig G. Strauss, MD1, Cyrill Burger, PhD2, Anne Rühl, MD3, Gisela Irngartinger, MD1, Wolfgang Stremmel, MD4 and Jochen Rudi, MD5

1 Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center, Heidelberg, Germany
2 Department of Nuclear Medicine, University of Zürich, Zürich, Switzerland
3 Department of Human Biology, University of Munich, Munich, Germany
4 Department of Internal Medicine IV, University of Heidelberg, Heidelberg, Germany
5 Department of Internal Medicine, Theresien Krankenhaus and St. Hedwig Klinik GmbH, University of Heidelberg, Mannheim, Germany



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FIGURE 1. (Top) Transverse images from the first MS (left), second MS (middle), and third MS (right) of a patient with colorectal carcinoma metastatic to the hilum of the left lung. The metastasis partially responded to FOLFOX chemotherapy (survival was 712 d). PMod software evaluated the PET images, which are standardized and can be compared visually (SUV images). (Bottom) Corresponding time–activity curves. Yellow = 18F-FDG kinetics in metastasis; purple = 18F-FDG kinetics in an artery. Corresponding 18F-FDG kinetic data are in Table 1.

 


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FIGURE 2. (Top) Transverse images from the first MS (left), second MS (middle), and third MS (right) of a patient with a metastasis in the left liver lobe. The metastasis showed a transient response and then progressed (survival was 484 d). The images are standardized and can be compared visually (SUV images). (Bottom) Corresponding time–activity curves. Yellow = 18F-FDG kinetics in metastasis; purple = 18F-FDG kinetics in an artery. Corresponding 18F-FDG kinetic data are in Table 2.

 


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FIGURE 3. Scatterplot of metastasis SUV of first MS (PET #1) vs. survival time.

 


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FIGURE 4. Scatterplot of metastasis FD of first MS (PET #1) vs. survival time.

 


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FIGURE 5. Scatterplot of observed and individually predicted survival times (as calculated by multiple linear regression) using kinetic data (as calculated by the best subset method) of the first (k3, k4, VB, FD) and third (k1, k2, k4, VB) MS.

 





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