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- Title
Diffusion-weighted magnetic resonance imaging for the initial characterization of non-fatty soft tissue tumors: correlation between T2 signal intensity and ADC values.
- Authors
Gondim Teixeira, Pedro; Gay, Frederique; Chen, Bailiang; Zins, Marie; Sirveaux, François; Felblinger, Jacques; Blum, Alain; Gondim Teixeira, Pedro Augusto; Sirveaux, François; Teixeira, Pedro Augusto Gondim
- Abstract
<bold>Objective: </bold>To evaluate the performance of quantitative diffusion-weighted imaging (DWI) correlated with T2 signal in differentiating non-fatty benign from malignant tumors.<bold>Material and Methods: </bold>A total of 76 patients with a histologically confirmed non-fatty soft tissue tumors (46 benign and 30 malignant) were prospectively included in this ethics committee approved study. All patients signed an informed consent and underwent MRI with DWI with two b values (0 and 600). ADC values from the solid components of these tumors were obtained and were correlated with the lesion's signal intensity on T2-weighted fat-saturated sequences. ADC values were obtained from adjacent normal muscle to allow calculation of tumor/muscle ADC ratios.<bold>Results: </bold>There were 58 hyperintense and 18 iso or hypointense lesions. All hypointense lesions were benign. The mean ADC values for benign and malignant tumors were 1.47 ± 0.54 × 10(-3) and 1.17 ± 0.38 × 10(-3) mm(2)/s respectively (p < 0.005). The mean ADC ratio in benign iso or hypointense tumors was significantly lower than that of hyperintense ones (0.76 ± 0.21 versus 1.58 ± 0.82 - p < 0.0001). An ADC ratio lower than 0.915 was highly specific for malignancy (96.4 %), whereas an ADC ratio higher than 1.32 was highly sensitive for benign lesions (90 %).<bold>Conclusion: </bold>ADC analysis can be useful in the initial characterization of T2 hyperintense non-fatty soft tissue masses, although this technique alone is not likely to change patient management.
- Subjects
DIFFERENTIAL diagnosis; DIAGNOSTIC imaging; LONGITUDINAL method; MAGNETIC resonance imaging; COMPUTERS in medicine; RESEARCH evaluation; SOFT tissue tumors
- Publication
Skeletal Radiology, 2016, Vol 45, Issue 2, p263
- ISSN
0364-2348
- Publication type
journal article
- DOI
10.1007/s00256-015-2302-6