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Investigating the heterogeneity of viscoelastic properties in prostate cancer using MR elastography at 9.4T in fresh prostatectomy specimens.

Publication ,  Journal Article
Reiter, R; Majumdar, S; Kearney, S; Kajdacsy-Balla, A; Macias, V; Crivellaro, S; Abern, M; Royston, TJ; Klatt, D
Published in: Magn Reson Imaging
April 2022

PURPOSE: To quantify the heterogeneity of viscoelastic tissue properties in prostatectomy specimens from men with prostate cancer (PC) using MR elastography (MRE) with histopathology as reference. METHODS: Twelve fresh prostatectomy specimens were examined in a preclinical 9.4T MRI scanner. Maps of the complex shear modulus (|G*| in kPa) with its real and imaginary part (G' and G" in kPa) were calculated at 500 Hz. Prostates were divided into 12 segments for segment-wise measurement of viscoelastic properties and histopathology. Coefficients of variation (CVs in %) were calculated for quantification of heterogeneity. RESULTS: Group-averaged values of cancerous vs. benign segments were significantly increased: |G*| of 12.13 kPa vs. 6.14 kPa, G' of 10.84 kPa vs. 5.44 kPa and G" of 5.45 kPa vs. 2.92 kPa, all p < 0.001. In contrast, CVs were significantly increased for benign segments: 23.59% vs. 26.32% (p = 0.014) for |G*|, 27.05% vs. 37.84% (p < 0.003) for G', and 36.51% vs. 50.37% (p = 0.008) for G". DISCUSSION: PC is characterized by a stiff yet homogeneous biomechanical signature, which may be due to the unique nondestructive growth pattern of PC with intervening stroma, providing a rigid scaffold in the affected area. In turn, increased heterogeneity in benign prostate segments may be attributable to the presence of different prostate zones with involvement by specific nonmalignant pathology.

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Published In

Magn Reson Imaging

DOI

EISSN

1873-5894

Publication Date

April 2022

Volume

87

Start / End Page

113 / 118

Location

Netherlands

Related Subject Headings

  • Prostatic Neoplasms
  • Prostatectomy
  • Prostate
  • Nuclear Medicine & Medical Imaging
  • Male
  • Magnetic Resonance Imaging
  • Humans
  • Elasticity Imaging Techniques
  • 3202 Clinical sciences
  • 1702 Cognitive Sciences
 

Citation

APA
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ICMJE
MLA
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Reiter, R., Majumdar, S., Kearney, S., Kajdacsy-Balla, A., Macias, V., Crivellaro, S., … Klatt, D. (2022). Investigating the heterogeneity of viscoelastic properties in prostate cancer using MR elastography at 9.4T in fresh prostatectomy specimens. Magn Reson Imaging, 87, 113–118. https://doi.org/10.1016/j.mri.2022.01.005
Reiter, Rolf, Shreyan Majumdar, Steven Kearney, André Kajdacsy-Balla, Virgilia Macias, Simone Crivellaro, Michael Abern, Thomas J. Royston, and Dieter Klatt. “Investigating the heterogeneity of viscoelastic properties in prostate cancer using MR elastography at 9.4T in fresh prostatectomy specimens.Magn Reson Imaging 87 (April 2022): 113–18. https://doi.org/10.1016/j.mri.2022.01.005.
Reiter R, Majumdar S, Kearney S, Kajdacsy-Balla A, Macias V, Crivellaro S, et al. Investigating the heterogeneity of viscoelastic properties in prostate cancer using MR elastography at 9.4T in fresh prostatectomy specimens. Magn Reson Imaging. 2022 Apr;87:113–8.
Reiter, Rolf, et al. “Investigating the heterogeneity of viscoelastic properties in prostate cancer using MR elastography at 9.4T in fresh prostatectomy specimens.Magn Reson Imaging, vol. 87, Apr. 2022, pp. 113–18. Pubmed, doi:10.1016/j.mri.2022.01.005.
Reiter R, Majumdar S, Kearney S, Kajdacsy-Balla A, Macias V, Crivellaro S, Abern M, Royston TJ, Klatt D. Investigating the heterogeneity of viscoelastic properties in prostate cancer using MR elastography at 9.4T in fresh prostatectomy specimens. Magn Reson Imaging. 2022 Apr;87:113–118.
Journal cover image

Published In

Magn Reson Imaging

DOI

EISSN

1873-5894

Publication Date

April 2022

Volume

87

Start / End Page

113 / 118

Location

Netherlands

Related Subject Headings

  • Prostatic Neoplasms
  • Prostatectomy
  • Prostate
  • Nuclear Medicine & Medical Imaging
  • Male
  • Magnetic Resonance Imaging
  • Humans
  • Elasticity Imaging Techniques
  • 3202 Clinical sciences
  • 1702 Cognitive Sciences