Feasibility of using 3D MR elastography to determine pancreatic stiffness in healthy volunteers
Open accessAbstract
Purpose: To evaluate the feasibility of using three‐dimensional (3D) MR elastography (MRE) to determine the stiffness of the pancreas in healthy volunteers. Materials and Methods: Twenty healthy volunteers underwent 1.5 Tesla MRE exams using an accelerated echo planar imaging (EPI) pulse sequence with low‐frequency vibrations (40 and 60 Hz). Stiffness was calculated with a 3D direct inversion algorithm. The mean shear stiffness in five pancreatic subregions (uncinate, head, neck, body, and tail) and the corresponding liver stiffness were calculated. The intrasubject coefficient of variation (CV) was calculated as a measure of the reproducibility for each volunteer. Results: The mean shear stiffness (average of values obtained in different pancreatic subregions) was (1.15 ± 0.17) kPa at 40 Hz, and (2.09 ± 0.33) kPa at 60 Hz. The corresponding liver stiffness was higher than the pancreas stiffness at 40 Hz ([1.60 ± 0.21] kPa, mean pancreas‐to‐liver stiffness ratio: 0.72), but similar at 60Hz ([2.12 ± 0.23) kPa, mean ratio: 0.95). The mean intrasubject CV for each pancreatic subregion was lower at 40 Hz than 60 Hz ( P < 0.05 for all subregions, range: 11.9–15.7% at 40 Hz and 16.5–19.6% at 60 Hz). Conclusion: The 3D pancreatic MRE can provide promising and reproducible stiffness measurements throughout the pancreas, with more consistent data acquired at 40 Hz. J. Magn. Reson. Imaging 2015;41:369–375. © 2013 Wiley Periodicals, Inc .
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The stiffness of different pancreatic regions ranges between 1.15 ± 0.17 kPa and 2.09 ± 0.33 kPa.
“For example, the stiffness of different pancreatic regions ranges between 1.15 ± 0.17 kPa and 2.09 ± 0.33 33,34 .”
From Soft tissue-mimicking hydrogel stiffness modulates polarisation of human monocyte-derived macrophages (2025) · cites this paper as [33]
The Results (‘Pancreatic Shear Stiffness at 40 Hz and 60 Hz’) report both numbers, but they are overall means across pancreatic subregions measured at two different frequencies—not the endpoints of a range across regions. The same section reports no significant difference between most subregions. (LLM, conf=0.90)
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Research works printed but not linked: 21
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“Normal healthy pancreas tissue has a stiffness of 1–3 kPa, whereas pancreatic carcinoma tissue has a stiffness of over 4 kPa [11, 12].”
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- Authors
- Shi, Y., Glaser, K. J., Venkatesh, S. K., Ben‐Abraham, E. I., & Ehman, R. L.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Ehman, Richard L.
- Venue
- Journal of Magnetic Resonance Imaging
- Publisher
- Wiley
- Published
- 2014-02-05
- Volume
- 41
- Issue
- 2
- Pages
- 369-375
- ISSN
- 1053-1807 (ISSN-L)
- 1522-2586
- PMC
- PMC4122650
- OpenAlex
- W1558222579
- Cited by
- 128
- References
- 0
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 11 · 2023: 12 · 2022: 9 · 2021: 15 · 2020: 12 · 2019: 10 · 2018: 16 · 2017: 10 · 2016: 10 · 2015: 7 · 2014: 4
- FWCI
- 8.09
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Magnetic Resonance Imaging (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Natural Science Foundation of China (81271566)
- National Institutes of Health (EB001981)
- National Institute of Biomedical Imaging and Bioengineering (R01EB001981, EB 001981, R37EB001981)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Ultrasound Imaging and Elastography
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › MRI in cancer diagnosis
- Keywords
- pancreatic stiffness, shear stiffness, liver stiffness, healthy volunteers, reproducibility, low-frequency vibration
- MeSH terms
- Adult, Algorithms, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Pancreas, Echo-Planar Imaging, Imaging, Three-Dimensional, Elasticity Imaging Techniques, Healthy Volunteers
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