Literature DB >> 32496317

In Vivo Quantification of Water Diffusion, Stiffness, and Tissue Fluidity in Benign Prostatic Hyperplasia and Prostate Cancer.

Patrick Asbach1, Sa-Ra Ro1, Nader Aldoj1, Joachim Snellings1, Rolf Reiter1, Julian Lenk1, Torsten Köhlitz1, Matthias Haas1, Jing Guo1, Bernd Hamm1, Jürgen Braun, Ingolf Sack1.   

Abstract

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 (φ) 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 φ 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, φ 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 φ (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 φ 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.

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Year:  2020        PMID: 32496317     DOI: 10.1097/RLI.0000000000000685

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  5 in total

1.  Multifrequency magnetic resonance elastography-based tomoelastography of the parotid glands-feasibility and reference values.

Authors:  Fabian Henry Jürgen Elsholtz; Rolf Reiter; Stephan Rodrigo Marticorena Garcia; Jürgen Braun; Ingolf Sack; Bernd Hamm; Lars-Arne Schaafs
Journal:  Dentomaxillofac Radiol       Date:  2021-09-24       Impact factor: 2.419

Review 2.  Causal contributors to tissue stiffness and clinical relevance in urology.

Authors:  Laura Martinez-Vidal; Valentina Murdica; Chiara Venegoni; Filippo Pederzoli; Marco Bandini; Andrea Necchi; Andrea Salonia; Massimo Alfano
Journal:  Commun Biol       Date:  2021-08-26

Review 3.  Molecular MR Imaging of Prostate Cancer.

Authors:  Avan Kader; Julia Brangsch; Jan O Kaufmann; Jing Zhao; Dilyana B Mangarova; Jana Moeckel; Lisa C Adams; Ingolf Sack; Matthias Taupitz; Bernd Hamm; Marcus R Makowski
Journal:  Biomedicines       Date:  2020-12-22

4.  Rectal Tumor Stiffness Quantified by In Vivo Tomoelastography and Collagen Content Estimated by Histopathology Predict Tumor Aggressiveness.

Authors:  Jiaxi Hu; Jing Guo; Yigang Pei; Ping Hu; Mengsi Li; Ingolf Sack; Wenzheng Li
Journal:  Front Oncol       Date:  2021-08-13       Impact factor: 6.244

5.  Whole tissue and single cell mechanics are correlated in human brain tumors.

Authors:  Frank Sauer; Anatol Fritsch; Steffen Grosser; Steve Pawlizak; Tobias Kießling; Martin Reiss-Zimmermann; Mehrgan Shahryari; Wolf C Müller; Karl-Titus Hoffmann; Josef A Käs; Ingolf Sack
Journal:  Soft Matter       Date:  2021-12-08       Impact factor: 4.046

  5 in total

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