JOURNAL ARTICLE

Diffusion‐weighted imaging of prostate cancer: Correlation between apparent diffusion coefficient values and tumor proliferation

Xi Zhen WangBin WangZhi Qin GaoJin Gang LiuZuo Qin LiuQing NiuZhen SunYu Xiao Yuan

Year: 2009 Journal:   Journal of Magnetic Resonance Imaging Vol: 29 (6)Pages: 1360-1366   Publisher: Wiley

Abstract

Abstract Purpose To investigate whether the apparent diffusion coefficient (ADC) values of prostate cancer (PCa) are able to reflect tumor proliferation. Materials and Methods The clinical and pathological information for 38 patients with PCa and 33 patients with benign prostate hyperplasia (BPH) were studied. Examination of the patients was performed using a 1.5 T superconducting magnetic scanner equipped with a pelvic phased‐array multicoil. Diffusion‐weighted images (DWIs) were acquired using an echo‐planar imaging sequence. The ADC values of PCa, BPH, and peripheral zone (PZ) were calculated. The cellularity of PCa was recorded based on hematoxylin and eosin staining. The proliferating cell nuclear antigen (PCNA) was detected using an immunohistochemical technique. Results The ADC values of PCa, BPH, and PZ were 49.32 ± 12.68 × 10 −5 mm 2 /s, 86.73 ± 26.75 × 10 −5 mm 2 /s, and 126.25 ± 27.21 × 10 −5 mm 2 /s, respectively. The ADC values of PCa were lower than those of BPH and PZ ( P < 0.05). The cellularity and PCNA labeling index (LI) of PCa were higher than those of BPH ( P < 0.05). The ADC values of PCa were negatively correlated with those of cellularity and PCNA LI ( r = −0.646 and −0.446, respectively; P < 0.05). Conclusion The ADC values of PCa can reveal the differences in proliferative activity between PCa and BPH. These values are therefore able to predict the proliferative rate of variously differentiated prostate cancers. J. Magn. Reson. Imaging 2009;29:1360–1366. © 2009 Wiley‐Liss, Inc.

Keywords:
Effective diffusion coefficient Prostate cancer Hyperplasia Medicine Prostate Proliferating cell nuclear antigen Nuclear medicine Diffusion MRI Pathological Pathology Immunohistochemistry Magnetic resonance imaging Cancer Radiology Internal medicine

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Citation History

Topics

MRI in cancer diagnosis
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Radiomics and Machine Learning in Medical Imaging
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Prostate Cancer Diagnosis and Treatment
Health Sciences →  Medicine →  Pulmonary and Respiratory Medicine

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