Journal Article
Research Support, Non-U.S. Gov't
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The predictive role of sequential FDG-PET/CT in response of locally advanced rectal cancer to neoadjuvant chemoradiation.

PURPOSE: This study prospectively assessed the value of sequential fluorine-18-fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) scans for predicting the response of locally advanced rectal cancer to neoadjuvant chemoradiation.

METHODS: Fifty consecutive patients with locally advanced rectal cancer were enrolled. The treatment consisted of concurrent chemoradiation, which included preoperative 5-fluorouracil-based chemotherapy and pelvic radiation (4500 to 5040 cGy); this was followed 8 weeks later (median: 55 d) by surgery with a curative intent. All the patients underwent FDG-PET/CT before and 5 weeks later (median: 35 d) after the completion of chemoradiation. We evaluated the measurements of the FDG uptake [maximum standardized uptake values (SUV(max))] and the percentage of SUV(max) difference [(response index (RI)] between the prechemoradiation and postchemoradiation FDG-PET/CT scans.

RESULTS: After chemoradiation, 32 of 50 patients (64%) were classified as responders according to the tumor regression grade, which is based on the ratio of fibrosis to residual cancer (tumor regression grade 3-4). For all the patients, the mean prechemoradiation SUV(max) was 14.8, and this was significantly higher than the mean SUV(max) value of 6.1 at postchemoradiation (P< 0.001). The mean RI was significantly higher in the responders than that in the nonresponder patients (62.6% vs. 31.2%, P = 0.001). The following parameters were obtained using a RI cutoff of 53.0% for defining a response to therapy: 75.0% sensitivity, 73.2% specificity, 82.8% positive predictive value, and 61.9% negative predictive value.

CONCLUSIONS: The FDG-PET/CT parameters, and especially the RI, may be best for assessing the neoadjuvant chemoradiation response of locally advanced rectal cancer and these values can potentially assist physicians for planning the optimal treatment.

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