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Differentiation of malignant and benign lung lesions with diffusion-weighted MR imaging Cover

Differentiation of malignant and benign lung lesions with diffusion-weighted MR imaging

Open Access
|Apr 2012

Abstract

Background. The aim of the study was to evaluate the role of diffusion-weighted magnetic resonance imaging in the differential diagnosis of lung lesions.

Patients and methods. Sixty-seven patients with lung lesions (48 malignant, 19 benign) were included in this prospective study. Signal intensities (SIs) were measured in diffusion-weighted MR images that were obtained with b=0, 500 and 1000 s/mm2 values. Apparent diffusion coefficient (ADC) maps were calculated by using images with b=0 and 1000 s/mm2 values. The statistical significance was determined using the Student-t test.

Results. The SIs of malignant lesions were significantly higher than those of benign lesions (p<0.004 for b=0 s/mm2 and p<0.000 for the other b values). Using b=500 s/mm2, SI≥391 indicated a malignant lesion with a sensitivity of 95%, specificity of 73% and positive predictive value of 87%. Using b=1000 s/mm2, SI≥277 indicated a malignant lesion with a sensitivity of 93%, specificity of 69% and positive predictive value of 85%. There was no significant difference between malignant and benign lesions regarding ADC values (p=0.675). There was no significant difference in SIs or ADC values between small cell carcinoma and non-small cell carcinoma. When comparing undifferentiated with well- partially differentiated cancers, SIs were higher with all b values, but the difference was statistically significant only with b=1000 s/mm2 (p<0.04).

Conclusions. Diffusion-weighteted MR trace image SI is useful for the differentiation of malignant versus benign lung lesions.

DOI: https://doi.org/10.2478/v10019-012-0021-3 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099
Language: English
Page range: 106 - 113
Published on: Apr 11, 2012
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2012 Sevtap Gümüştaş, Nagihan Inan, Gür Akansel, Ercüment Çiftçi, Ali Demirci, Sevgiye Özkara, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons License.

Volume 46 (2012): Issue 2 (June 2012)