Hisanobu Koyama MD, Presenter: Nothing to Disclose

Christian Hintze MD, Abstract Co-Author: Nothing to Disclose

Julien Dinkel MD, Abstract Co-Author: Nothing to Disclose

Michael Ulrich Puderbach MD, Abstract Co-Author: Nothing to Disclose

Monika Eichinger MD, Abstract Co-Author: Nothing to Disclose

Claus Peter Heussel MD, Abstract Co-Author: Review Board, Gilead Sciences, Inc Review Board, Merck & Co, Inc Review Board, Astellas Group Review Board,Novartis AG Review Board, Boehringer Ingelheim GmbH Speakers Bureau, Gilead Sciences, Inc Speakers Bureau, Schering-Plough Corporation Speakers Bureau, AstraZeneca PLC Speakers Bureau, Merck & Co, Inc Speakers Bureau, Pfizer Inc Stockholder, GlaxoSmithKline plc Stockholder, STADA Arzneimittel AG Research grant, Novartis AG Research, Schering-Plough Corporation Research, Boehringer Ingelheim GmbH Research, F. Hoffmann-La Roche Research, Astellas Group Research, Novartis AG

Juergen Biederer MD, Abstract Co-Author: Nothing to Disclose

Hans-Ulrich Kauczor MD, Abstract Co-Author: Research grant, Siemens AG Research grant, Boehringer Ingelheim GmbH Research Consultant, General Electric Company

Bram Stieltjes MD, Abstract Co-Author: Nothing to Disclose

To investigate how perfusion contributes to the apparent diffusion coefficients values (ADC) of abnormal lung lesions and to assess the intrinsic relationship among quantitative parameters of diffusion weighted imaging such as ADCs, true diffusion coefficient (D) and perfusion fraction (PF).

A positive vote of the local ethics committee was obtained. Forty-two patients (mean age, 61.2 years) with 47 pulmonary lesions (mean diameter, 64.5 mm) were enrolled in this study. All MR examinations were performed on a clinical 1.5 T scanner. DWI was performed with echo-planar imaging and multiple b factors (b = 0, 50, 100, 150, 200, 300, 400 and 600 s/mm2) during repeated breath-hold imaging in expiration. A free-hand region of interest was drawn on the ADC-map to encompass the lesion, and the values of ADC, D, and PF were recorded. To determine the difference between ADCs and D, ADCs were compared with D by using paired Student´s t test. To determine the relationship between these quantitative DWI parameters, the Pearson's correlation coefficient was calculated. Finally, these parameters were compared between benign (n = 3) and malignant lesions (n =44), and between small cell lung cancer (SCLC) (n = 8) and non SCLC (NSCLC) (n =36).

The mean ADC and D were 1.51 ± 0.30 × 10-3 mm2/sec and 1.40 ± 0.31 × 10-3 mm2/sec, respectively. The ADCs were significantly higher than Ds (p < 0.001). The ADCs were significantly correlated with PF (r = 0.42, p < 0.01) and D (r = 0.93, p < 0.001), however there was no significant difference between PF and D (p > 0.05). All parameters showed no significant difference between benign and malignant pulmonary lesions, and no significant difference between SCLC and NSCLC.

Perfusion influences ADCs, and PF and D are independent parameters in chest DWI.

Perfusion also influences to ADC values in chest DWI, therefore it is also important to know how perfusion contributes to the ADCs in lung abnormal lesions when using ADC values.Perfusion influences A

Koyama, H, Hintze, C, Dinkel, J, Puderbach, M, Eichinger, M, Heussel, C, Biederer, J, Kauczor, H, Stieltjes, B, Diffusion Coefficients in Pulmonary Lesions: Evaluation with Intravoxel Incoherent Motion by Echo-planar MR Imaging.  Radiological Society of North America 2011 Scientific Assembly and Annual Meeting, November 26 - December 2, 2011 ,Chicago IL. http://archive.rsna.org/2011/11003163.html