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J Magn Reson Imaging ; 44(3): 565-72, 2016 09.
Article in English | MEDLINE | ID: mdl-26934685

ABSTRACT

PURPOSE: To evaluate the role of diffusion-weighted apparent diffusion coefficient (ADC) and in-phase/opposed-phase sequences in the differentiation of benign and malignant osseous tumors. MATERIALS AND METHODS: At 1.5T, routine sequences were compared to diffusion-weighted and in-phase/opposed-phase in 63 patients. Routine sequence magnetic resonance imaging (MRI) scoring, mean ADC value, and in-phase/opposed-phase signal intensity ratio (SIR) was obtained. Statistical analysis included significance, receiver operating characteristic (ROC), and linear correlation between the three parameters. RESULTS: In all, 38 patients had malignant tumors and 25 patients had benign tumors. Benign and malignant tumors showed different routine sequence scores (P < 0.001). Mean ADC of the benign lesions ranged 0.9-3.2 × 10(-3) mm(2) /sec of mean ± SD (1.9 ± 0.6). In malignant tumors, the mean ADC ranged 0.6-1.9 × 10(-3) mm(2) /sec of mean ± SD (1.1 ± 0.4) (P < 0.0001). There was a possible differentiation between malignant and benign tumors at a threshold of 1.1 × 10(-3) mm(2) /sec of sensitivity and specificity of 94.1% and 70.3%, respectively. SIR for benign tumors ranged 0.2-1.0 of mean ± SD (0.6 ± 0.3). For malignant lesions SIR ranged 0.4-1.2 of mean ± SD (0.8 ± 0.3). Benign and malignant tumors show statistically significant SIR at P < 0.022 with possible differentiation at a threshold of 0.75 of sensitivity and specificity of 70.3% and 76.5%, respectively. Simple linear correlation between both ADC and SIR was significant at P < 0.01 with correlation coefficient (r) = 0.45. CONCLUSION: Diffusion-weighted and in-phase/opposed-phase imaging might be used in addition to conventional MRI as a routine tool for differentiation of benign and malignant tumors. J. Magn. Reson. Imaging 2016;44:565-572.


Subject(s)
Algorithms , Bone Neoplasms/diagnostic imaging , Bone Neoplasms/pathology , Diffusion Magnetic Resonance Imaging/methods , Image Interpretation, Computer-Assisted/methods , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , Female , Humans , Image Enhancement/methods , Male , Middle Aged , Reproducibility of Results , Sensitivity and Specificity , Signal Processing, Computer-Assisted , Young Adult
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