RSNA 2007 

Abstract Archives of the RSNA, 2007


SSQ19-01

Integration of Quantitative DCE-MRI and ADC Mapping to Monitor Treatment Response in Human Pulmonary Cancer

Scientific Papers

Presented on November 29, 2007
Presented as part of SSQ19: Chest (Thoracic Malignancy, Perfusion and Follow-up)

Participants

Francesca Bolacchi, Presenter: Nothing to Disclose
Gianluigi Sergiacomi, Abstract Co-Author: Nothing to Disclose
Dario Alberto Bartolucci MD, Abstract Co-Author: Nothing to Disclose
Mario Roselli, Abstract Co-Author: Nothing to Disclose
Antonio Orlacchio MD, Abstract Co-Author: Nothing to Disclose
Giovanni Simonetti MD, Abstract Co-Author: Nothing to Disclose
Sara D'Urso MD, Abstract Co-Author: Nothing to Disclose
Girolamo Del Monte, Abstract Co-Author: Nothing to Disclose

PURPOSE

To assess changes in the water apparent diffusion coefficient (ADC) and in pharmacokinetic parameters obtained from the fast-exchange regime (FXR) modeling of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) during neoadjuvant chemotherapy in pulmonary cancer.

METHOD AND MATERIALS

Fifteen patients with locally advanced pulmonary cancer underwent MRI examination prior to and after chemotherapy tretment but prior to surgery. A 3-T scanner was used to obtain T1, ADC and DCE-MRI data. DCE-MRI data were analyzed by the FXR model returning estimates of K(trans) (volume transfer constant), v(e) (extravascular extracellular volume fraction) and tau(i) (average intracellular water lifetime). Histogram and correlation analyses assessed parameter changes post-treatment

RESULTS

Significant (P < .05) changes or trends towards significance (P < .10) were seen in all parameters except tau(i), although there was qualitative reduction in tau(i) values post-treatment. In particular, there was reduction (P < .035) in voxels with K(trans) values in the range 0.2-0.5 min(-1) and a decrease (P < .05) in voxels with ADC values in the range 0.99 x 10(-3) to 1.35 x 10(-3) mm2/s. ADC and v(e) were negatively correlated (r = -.60, P < .02). Parameters sensitive to water distribution and geometry (T(1), v(e), tau(i) and ADC) correlated with a multivariable linear regression model

CONCLUSION

The analysis presented here is sensitive to longitudinal changes in pulmonary tumor status; K(trans) and ADC are most sensitive to these changes. Relationships between parameters provide information on water distribution and geometry in the tumor environment.

CLINICAL RELEVANCE/APPLICATION

MRI is a feaseble technique to evalute the efficacy neoadjiuvant chemotherapy treatment for pulmonunary nodules

Cite This Abstract

Bolacchi, F, Sergiacomi, G, Bartolucci, D, Roselli, M, Orlacchio, A, Simonetti, G, D'Urso, S, Del Monte, G, Integration of Quantitative DCE-MRI and ADC Mapping to Monitor Treatment Response in Human Pulmonary Cancer.  Radiological Society of North America 2007 Scientific Assembly and Annual Meeting, November 25 - November 30, 2007 ,Chicago IL. http://archive.rsna.org/2007/5016719.html