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[Cancer Research 61, 2513-2516, March 15, 2001]
© 2001 American Association for Cancer Research


Clinical Investigations

Tumor Microcirculation Evaluated by Dynamic Magnetic Resonance Imaging Predicts Therapy Outcome for Primary Rectal Carcinoma1

Alexander F. DeVries2, Jürgen Griebel, Christian Kremser, Werner Judmaier, Thomas Gneiting, Alfons Kreczy, Dietmar Öfner, Karl-Peter Pfeiffer, Gunnar Brix and Peter Lukas

Departments of Radiotherapy and Radiooncology [A. F. D., P. L.], Magnetic Resonance [C. K., W. J.], Pathology [A. K.], Surgery [D. Ö.], and Biostatistics [K-P. P.], University of Innsbruck, 6020 Innsbruck, Austria; and GSF Research Center for Environment and Health, Institute for Radiation Biology [T. G.], and Federal Office for Radiation Protection (BfS), Institute of Radiation Hygiene [J. G., G. B.], 85764 Neuherberg, Germany

Contrast enhanced dynamic studies of malignant tumors performed by computed tomography or magnetic resonance imaging (MRI) are increasingly applied to characterize tumor microcirculation for the prediction of therapy outcome. The aim of our study was to correlate perfusion index (PI) values determined in primary rectal carcinoma before chemoradiation with therapy outcome.

In 17 patients with clinically staged T3 primary rectal carcinoma, dynamic MRI was performed before the onset of therapy using an ultrafast T1-mapping sequence. On the basis of the acquired data sets, PI values were calculated on a pixel-by-pixel basis. To characterize the heterogeneity of tumor microcirculation, relative cumulative frequency histograms of PI values within the tumors were computed. Subsequent resection of the tumors allowed correlating PI with histopathological classification.

In 12 of 17 patients, T-downstaging as a response to therapy was found, whereas in the remaining 5 patients no therapy response was observed after chemoradiation. A statistically significant difference between both groups was found for the mean PI (P < 0.001; 8.5 ± 1.7 ml/min/100 g versus 11.4 ± 0.7 ml/min/100 g). Analyzing the cumulative frequency histograms for both groups revealed an optimal discrimination for a PI value of 12.6 ml/min/100 g. The fraction of pixels in the tumor with PI values larger than 12.6 ml/min/100 g was significantly different (P < 0.001) between therapy-responding (3 ± 3.6%) and therapy-nonresponding tumors (21 ± 4.3%).

The results indicate either a reduced supply of nutrients as well as chemotherapeutic agents attributable to increased shunt flow or highly aggressive tumor cell clusters characterized by increased angiogenic activity. Noninvasive PI measurements by dynamic MRI in rectal carcinoma before therapy seem to be of predictive value for therapy outcome in patients scheduled for preoperative chemoradiation.




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