Abstract
PURPOSE: FDG PET/CT has been suggested as the most reliable modality to predict pathological tumor responses after neoadjuvant chemoradiotherapy (CRT) in locally advanced rectal cancer (LARC). However, several confounding factors including radiation-induced inflammation could not be easily avoided with the commonly used single-point FDG PET/CT. Our aim was to evaluate the accuracy of a dual-point PET/CT protocol in LARC response prediction to CRT. PATIENTS AND METHODS: Sixty-one LARC patients were enrolled and treated with neoadjuvant CRT. PET/CT was performed before and after CRT. Dual-point acquisition was applied to post-CRT PET/CT. Post-CRT SUVmax (postSUV), pre/post-CRT SUVmax change (RI), and dual-point index (DI) of post-CRT PET/CT were compared with the Dworak tumor regression grade (TRG) as a gold standard. Univariate and multivariate analyses, as well as receiver operating characteristic curve analysis, were used to evaluate the predictive ability of demographic, clinical, and metabolic PET parameters. RESULTS: Fifteen patients of TRG3-4 were defined as pathological responders, and 46 patients of TRG1-2 were nonresponders. The resulting response index (RI) ranged from -13 to 94.8% (59.1 ± 22.0%), and delay index (DI) ranged from -45.2 to 25.0% (-9.1 ± 12.1%). Univariate analysis resulted in PET parameters (postSUV, RI, and DI) as significant predictors (P = 0.004, P < 0.001, P < 0.0001). According to multivariate analysis, RI and DI remained as significant predictors (P = 0.04 and P = 0.0004). Receiver operating characteristic analysis showed that DI had significantly higher area under the curve compared with RI (0.906 vs 0.696, P = 0.018). Delay index had 86.7% sensitivity, 87.0% specificity, 68.4% positive predictive value, 95.2% negative predictive value, and 86.9% accuracy. CONCLUSIONS: Dual-point post-CRT PET/CT can predict pathological tumor response better than conventional single time point pre- and post-CRT PET/CT.
| Original language | English |
|---|---|
| Pages (from-to) | 7-12 |
| Number of pages | 6 |
| Journal | Clinical Nuclear Medicine |
| Volume | 38 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2013 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- DI
- Dworak tumor regression grade
- dual point PET/CT
- neoadjuvant chemoradiotherapy
- rectal cancer
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