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Prostate Papers
Feasibility study of FA and ADC values by diffusion tensor imaging:classify abnormal signal nodules in prostate transition zone
KE Zan  WANG Liang  DENG Ming  MIN Xiang-de  CAI Jie  FENG Zhao-yan  LI Ba-sen 

DOI:10.12015/issn.1674-8034.2016.05.003.


[Abstract] Objective: To investigate the diagnostic utility of FA (fractional anisotropy) and ADC (apparent diffusion coefficient) values of diffusion tensor imaging (DTI) in classifying abnormal signal nodules in prostate transition zone (TZ).Materials and Methods: Fifty-four TZ-PCa cases and thirty BPH cases with pathologically confirmed were enrolled in this retrospective study. All the patients were divided into 3 groups: BPH, Gleason score (GS)≤3+4=7, GS≥4+3=7, and underwent with 3.0 T MRI. The FA and ADC values of the region of interest (ROI) were respectively measured, using one-way ANOVA to compare the difference between groups.Results: The mean FA values of the 3 groups were 150.52±29.63, 215.21±54.59, 251.01±59.47, respectively, and there was statistical difference between the groups (F=32.882, P=0.000). Comparison among groups: just BPH with the other two groups had statistical difference (P=0.000, P=0.000). The mean ADC values (×10-6 mm2/s) of the 3 groups were 1606.11±234.64, 854.00±172.29, 742.78±115.91, respectively, and there was statistical difference between the groups (F=202.928, P=0.000). Comparison among groups: BPH with the other two groups had statistical difference (P=0.000, P=0.000). GS≤3+4=7 and GS≥4+3=7 had statistical difference (P=0.040).Conclusions: The FA and ADC values of DTI have higher value for distinguishing benign and malignant nodules. ADC values has obvious advantages than FA in the further classification.
[Keywords] Prostatic neoplasms;Diffusion tensor imaging

KE Zan Department of Radiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

WANG Liang* Department of Radiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

DENG Ming Department of Radiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

MIN Xiang-de Department of Radiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

CAI Jie Department of Radiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

FENG Zhao-yan Department of Radiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

LI Ba-sen Department of Radiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

*Correspondence to: Wang L, E-mail: wang6@tjh.tjmu.edu.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of project of the National Natural Science Foundation of China No. 81171307
Received  2016-01-27
Accepted  2016-03-28
DOI: 10.12015/issn.1674-8034.2016.05.003
DOI:10.12015/issn.1674-8034.2016.05.003.

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