JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES) ›› 2010, Vol. 48 ›› Issue (3): 144-148.

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Application of MR diffusion-weighted imaging and dynamic contrast-enhanced MRI in differentiating benignskeletal lesions from malignant ones

CAO Jinfeng1, LIN Xiangtao1,2, WANG Guangbin2, XIAO Lianxiang1,MIAO Mingming1, YANG Jinyong3   

  1. 1. School of Medicine, Shandong University, Jinan 250012, China; 
    2. Shandong Medical Imaging Research Institute, Jinan 250021, China; 
    3. Taishan Medical University, Taian 271016, Shandong, China
  • Received:2009-11-11 Online:2010-03-16 Published:2010-03-16

Abstract:

Objective    To assess the diagnostic potential of DWI and DCE-MRI in differentiating benign from malignant skeletal lesions. Methods   DWI was performed on 47 patients and DCE-MRI on 36 patients using the Siemens Sonata 1.5T MR scanner. The ADC value was measured on DWI and SEE, and slope value and TIC type were gained on DCEMRI. Subjective overall performance of the two techniques was evaluated with ROC analysis. Results   ① The ADC value of benign and malignant groups was (171.15±46.96)×10-5mm2/s, (100.14±26.47)×10-5mm2/s(P<0.05). The diagnostic accuracy was 86.4%; ② In 36 patients, the Ⅲ curve was found in 24 (malignant for 22 and benign for 2),  theⅡcurve in 5 andⅠcurve in 7 (all were benign). As the Ⅲ curve was considered malignant and Ⅰ, Ⅱ curve were regarded as benign, the diagnostic accuracy of TIC type was 94.3%;  ③ SEE was  227.96±172.08and 325.6± 125.86 in benign and malignant groups respectively(P>0.05), and slope value was (0.97±0.67)%/s and (2.53±0.91)%/s (P<0.05). The diagnostic accuracy of slope value was 91.4%. Conclusion   ① DCE-MRI was more valuable than DWI in differentiating benign from malignant skeletal masses. The diagnostic accuracy of the TIC type was highest; ② The D combined use of CE-MRI and DWI can promote the accuracy in diagnosing suspicious skeletal masses.

Key words: Skeletal masses; Magnetic resonance imaging; Dynamic contrast enhancement; Diffusion-weighted imaging

CLC Number: 

  • R445.2
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