The use of FDG-PET/CT and diffusion-weighted magnetic resonance imaging for response prediction before, during and after preoperative chemoradiotherapy for rectal cancer

Abstract Purpose. To investigate the use of FDG-PET/CT before, during and after chemoradiotherapy (CRT) and diffusion-weighted magnetic resonance imaging (DW-MRI) before CRT for the prediction of pathological response (pCR) in rectal cancer patients. Material and methods. Twenty-two rectal cancer pa...

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Veröffentlicht in:Acta oncologica 2010-10, Vol.49 (7), p.956-963
Hauptverfasser: Lambrecht, Maarten, Deroose, Christophe, Roels, Sarah, Vandecaveye, Vincent, Penninckx, Freddy, Sagaert, Xavier, van Cutsem, Eric, de Keyzer, Frederik, Haustermans, Karin
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Sprache:eng
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Zusammenfassung:Abstract Purpose. To investigate the use of FDG-PET/CT before, during and after chemoradiotherapy (CRT) and diffusion-weighted magnetic resonance imaging (DW-MRI) before CRT for the prediction of pathological response (pCR) in rectal cancer patients. Material and methods. Twenty-two rectal cancer patients treated with long course CRT were included. An FDG-PET/CT was performed prior to the start of CRT, after 10 to 12 fractions of CRT and five weeks after the end of CRT. The tumor was delineated using a gradient based delineation method and the maximal standardized uptake values (SUVmax) were calculated. A DW-MRI was performed before start of CRT. Mean apparent diffusion coefficients (ADC) were determined. The ΔSUVmax during and after CRT and the initial ADC values were correlated to the histopathological findings after total mesorectal excision (TME). Results. ΔSUVmax during and after CRT significantly correlated with the pathological response to treatment (during CRT: ΔSUVmax = 59% ± 12% for pCR vs. 25% ± 27% if no pCR, p=0.0036; post-CRT: 90% ± 11 for pCR vs. 63% ± 22 if no pCR p=0.013). ROC curve analysis revealed an optimal threshold for ΔSUVmax of 40% during CRT and 76% after CRT. The initial ADC value was also significantly correlated with pCR (0.94 ± 0.12 × 10−3 mm2/s for pCR vs. 1.2 ± 0.24 × 10−3 mm2/s, p=0.002) and ROC curve analysis revealed an optimal threshold of 1.06 × 10−3 mm2/s. Combining the provided ΔSUVmax thresholds during and after CRT increased specificity of the prediction (sensitivity 100% and specificity 94%). The combination of the thresholds for the initial ADC value and the ΔSUVmax during CRT increased specificity of the prediction to a similar level (sensitivity of 100% and specificity of 94%). Conclusions. The combination of the different time points and the different imaging modalities increased the specificity of the response assessment both during and after CRT.
ISSN:0284-186X
1651-226X
DOI:10.3109/0284186X.2010.498439