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| Content Provider | Directory of Open Access Journals (DOAJ) |
|---|---|
| Author | Xinghui Li Qi Liang Ling Zhuang Xiaoming Zhang Tianwu Chen Liangjun Li Jun Liu Horea Calimente Yinan Wei Jiani Hu |
| Abstract | To evaluate the feasibility of differentiating between hepatocellular carcinomas (HCC) and healthy liver using diffusion tensor imaging (DTI).All subjects underwent an abdominal examination on a 3.0T MRI scanner. Two radiologists independently scored the image quality (IQ). An optimal set of DTI parameters was obtained from a group of fifteen volunteers with multiple b-values (100, 300, 500, and 800 s/mm2) and various diffusion-encoding directions (NED = 6, 9, and 12)using two way ANOVA analysis. Eighteen Patients with HCC underwent DTI scans with the optimized parameters. Fractional anisotropy(FA) and average apparent diffusion coefficient (ADC) values were measured. The differences of FA and ADC values between liver healthy region and HCC lesion were compared through paired t tests.There were no significant changes in liver IQ and FA/ADC values with increased NED(P >0.05), whereas the liver IQ and FA/ADC values decreased significantly with increased b-values(P <0.05). Good IQ, acceptable scan time and reasonable FA/ADC values were acquired using NED = 9 with b-value of (0,300) s/mm2. Using the optimized DTI sequence, ADC value of the tumor lesion was significantly lower than that of the healthy liver region (1.30 ± 0.34×10-3 vs 1.52 ± 0.27×10-3 mm2/s, P = 0.013), whereas the mean FA value of the tumor lesion (0.42 ± 0.11) was significantly higher than the normal liver region (0.32 ± 0.10) (P = 0.004).Either FA or ADC value from DTI can be used to differentiate HCC from healthy liver. HCC lead to higher FA value and lower ADC value on DTI than healthy liver. |
| e-ISSN | 19326203 |
| DOI | 10.1371/journal.pone.0135568 |
| Journal | PLoS ONE |
| Issue Number | 8 |
| Volume Number | 10 |
| Language | English |
| Publisher | Public Library of Science (PLoS) |
| Publisher Date | 2015-01-01 |
| Publisher Place | United States |
| Access Restriction | Open |
| Subject Keyword | Medicine Science |
| Content Type | Text |
| Resource Type | Article |
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