Erschienen in:
01.09.2012 | Scientific Article
Value of diffusion-weighted images in differentiating mid-course responders to chemotherapy for osteosarcoma compared to the histological response: preliminary results
verfasst von:
C. Baunin, G. Schmidt, K. Baumstarck, C. Bouvier, J. C. Gentet, A. Aschero, A. Ruocco, B. Bourlière, G. Gorincour, C. Desvignes, N. Colavolpe, G. Bollini, P. Auqier, P. Petit
Erschienen in:
Skeletal Radiology
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Ausgabe 9/2012
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Abstract
Background
Preoperative diffusion-weighted MRI (DW-MRI) has been described as an efficient method to differentiate good and poor responders to chemotherapy in osteosarcoma patients. A DW-MRI performed earlier during treatment could be helpful in monitoring chemotherapy.
Objective
To assess the accuracy of DW-MRI in evaluating response to chemotherapy in the treatment of osteosarcoma, more specifically at mid-course of treatment.
Materials and methods
This study was carried out on a prospective series of adolescents treated for long-bone osteosarcoma. MR examinations were performed at diagnosis (MRI-1), at mid-course of chemotherapy (MRI-2), and immediately before surgery (MRI-3). A DW sequence was performed using diffusion gradients of b0 and b900. The apparent diffusion coefficients (ADC1, ADC2, ADC3, respectively), their differentials (ADC2 − ADC1 and ADC3 − ADC1), and their variation (ADC2 − ADC1/ADC1 and ADC3 − ADC1/ADC1) were calculated for each of these three time points.
Results
Fifteen patients were included. Patients with no increase in ADC showed a poor response to chemotherapy on their histology results. At mid-course, the three calculated values were significantly different between good and poor responders. ADC2 − ADC1 enabled us to detect, with 100% specificity, four out of seven of the poor responders. There was no significant difference in the values at MRI-3 between the two groups.
Conclusion
DW-MRI performed both at baseline and mid-course of neoadjuvant chemotherapy is an efficient method to predict further histological response of osteosarcoma. This method could be used as an early prognostic factor to monitor preoperative chemotherapy.