Purpose To evaluate apparent diffusion coefficient (ADC) value, metabolic ratio ((Cho + Cr)/Cit) and the combination of the two in identifying prostate malignant regions.
Materials and Methods Fifty‐six consecutive patients with prostate biopsy results were retrospectively recruited in this study. Transrectal ultrasound‐guided (TRUS) systemic prostate biopsies were used as a standard of reference. Mean ADC value and mean metabolic ratio (MMR) were calculated within each benign sextant region or malignant region. The efficiency of these two indices in prostate cancer (PCa) diagnosis is estimated in Fisher linear discriminant analysis (FLDA). The area under the receiver operating characteristic (ROC) curve was used to evaluate the distinguishing capacity of mean ADC, MMR, and the combination of the two in differentiating between noncancerous and cancerous cases.
Results There were significant differences for mean ADC value and MMR between malignant and benign regions. Weights of mean ADC value obtained by FLDA were much higher than those of MMR. In differentiating malignant regions, both ADC alone and combined ADC and metabolic ratio performed significantly better than MMR alone. However, accuracy improvements were not significant by using combined ADC and MMR than ADC alone.
Conclusion DWI is more efficient than MR spectroscopic (MRS) in the detection of PCa in this study. Combined ADC and MMR performed significantly better than MMR alone in distinguishing malignant from benign region in prostate peripheral zone. J. Magn. Reson. Imaging 2012;. © 2012 Wiley Periodicals, Inc.
Bo Li MS 1, Wenchao Cai BS 2, Dongjiao Lv PhD 1, Xuemei Guo PhD 2, Xiaoying Wang PhD *,2,3, Jue Zhang PhD *,1,3, Jing Fang PhD 1,3
1 College of Engineering, Peking University, Beijing, China, People’s Republic of China
2 Department of Radiology, Peking University First Hospital, Beijing, China, People’s Republic of China
3 Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China, People’s Republic of China
*Correspondence: firstname.lastname@example.org email@example.com
College of Engineering, Peking University, Yiheyuan Road No. 5, Beijing, 100871, China