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The role of MR diffusion in differentiation of malignant and benign hepatic focal lesions
Authors:Mahmoud Abdel Latif  Galal El HawaryAdel El Badrawy  Hatem El Alfy
Affiliation:Mansoura University Hospital (MUH), Egypt
Abstract:

Aim

To determine if focal liver masses could be differentiated as benign or malignant by DWI and ADC maps.

Methods and materials

Sixty focal liver lesions were scanned using 1.5 T MRI. DWI was performed with b 0, b 500 and b 1000 gradients with ADC measurements. Comparison of mean ADC values between each benign and malignant lesion was done. Reference standard of diagnosis was obtained by correlating DWI with histopathologic findings and imaging follow-up. The accuracies of DWI and ADC values were assessed with the Student’s t test, and cut-off values were determined with receiver operating characteristic curve analysis.

Results

When ADC value of 1.0 × 10−3 mm2/s was used as a threshold value for differentiation of malignant tumors from benign lesions, sensitivity was 90.3%, specificity 78.57% and accuracy 86.7%. The best result was obtained with the use of ADC cut off value (at b 500) of 1.5 × 10−3 mm2/s and ADC cut off value (at b 1000) of 1.0 × 10−3 mm2/s, with 90.3% sensitivity, 92.86% specificity, 91.1% accuracy, 96.6% positive predictive value and 81.3% negative predictive value.

Conclusion

DWI and ADC map is a useful tool in differential diagnosis of malignant from benign liver lesions.
Keywords:DWI, diffusion weighted imaging   ADC, apparent diffusion coefficient   T, tesla   MRI, magnetic resonance imaging   ROC, receiver operating characteristic curve   FNH, focal nodular hyperplasia   HCC, hepato-cellular carcinoma   CT, computed tomography   DWMRI, diffusion-weighted magnetic resonance imaging   DWI, diffusion-weighted imaging   n, number   FLL, focal liver lesions   FSPGR, fast-spoiled gradient echo   SSFSE, single shot fast spin echo   S, second   TR, repetition time   TE, echo time   FOV, field of view   cm, centimeter   ASSET, array spatial sensitivity encoding technique   mm, millimeter   ROI, region of interest   SD, standard deviation   SI, signal intensity   DW-EPIs, diffusion-weighted-echo planar imagings   SNR, signal to noise ratio   mm/s, millimeter/second
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