In Vivo Quantification of Water Diffusion, Stiffness, and Tissue Fluidity in Benign Prostatic Hyperplasia and Prostate Cancer
In Vivo Quantification of Water Diffusion, Stiffness, and Tissue Fluidity in Benign Prostatic Hyperplasia and Prostate Cancer
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DOI:
10.1097/rli.0000000000000685
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发表时间:
2020-08-01
影响因子:
6.7
通讯作者:
Sack, Ingolf
中科院分区:
文献类型:
--
作者:
Asbach, Patrick;Ro, Sa-Ra;Sack, Ingolf
Objectives Water diffusion, tissue stiffness, and viscosity characterize the biophysical behavior of tumors. However, little is known about how these parameters correlate in prostate cancer (PCa). Therefore, we paired tomoelastography of the prostate with diffusion-sensitive magnetic resonance imaging for the quantitative mapping of biophysical parameters in benign prostatic hyperplasia (BPH) and PCa. Materials and Methods Multifrequency magnetic resonance imaging elastography with tomoelastography processing was performed at 60, 70, and 80 Hz using externally placed compressed-air drivers. Shear-wave speed (SWS) and loss angle (phi) were analyzed as surrogate markers of stiffness and viscosity-related fluidity in the normal peripheral zone (PZ), hyperplastic transition zone (TZ), which is consistent with BPH, and PCa lesions. The SWS and phi were correlated with the normalized apparent diffusion coefficient (nADC). Results Thirty-nine men (median age/range, 67/49-88 years), 25 with BPH and 14 with biopsy-proven PCa, were prospectively enrolled in this institutional review board-approved study. The SWS in PCa (3.1 +/- 0.6 m/s) was higher than in TZ (2.8 +/- 0.3 m/s,P= 0.004) or tended to be higher than in PZ (2.8 +/- 0.4 m/s,P= 0.025). Similarly, phi in PCa (1.1 +/- 0.1 rad) was higher than in TZ (0.9 +/- 0.2 m/s,P< 0.001) and PZ (0.9 +/- 0.1 rad,P< 0.001), whereas nADC in PCa (1.3 +/- 0.3) was lower than in TZ (2.2 +/- 0.4,P< 0.001) and PZ (3.1 +/- 0.7,P< 0.001). Pooled nADC was inversely correlated with phi (R= -0.6,P< 0.001) but not with SWS. TZ and PZ only differed in nADC (P< 0.001) but not in viscoelastic properties. Diagnostic differentiation of PCa from normal prostate tissues, as assessed by area under the curve greater than 0.9, was feasible using nADC and phi but not SWS. Conclusions Tomoelastography provides quantitative maps of tissue mechanical parameters of the prostate. Prostate cancer is characterized by stiff tissue properties and reduced water diffusion, whereas, at the same time, tissue fluidity is increased, suggesting greater mechanical friction inside the lesion. This biophysical signature correlates with known histopathological features including increased cell density and fibrous protein accumulation.