The DOI matches its Crossref record.
Internal Intervertebral Disc Mechanics as Revealed by Stress Profilometry
Abstract
A technique was developed for measuring the distribution of stress within loaded cadaveric intervertebral discs. A strain-gauged membrane mounted on the side of a 1.3-mm diameter needle was pulled through the disc at constant speed. The orientation of the membrane was changed by rotating the needle, so that profiles of vertical and horizontal components of compressive stress could be obtained. The measurements were reproducible and did not perturb the tissue to any significant extent. Stress profiles varied considerably between discs and were highly dependent on the severity of degenerative changes. They also showed that the mechanical behavior of individual disc tissues was dependent not only on their location, but also on the loading and loading history of the disc. The new insight into internal disc mechanics revealed by stress profilometry may lead to a greater understanding of the mechanisms of disc function and failure.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Iatridis, J. C., Weidenbaum, M., Setton, L. A., & Mow, V. C. (1996) · Spine · doi:10.1097/00007632-199605150-00009 · Cited by 371
Schmidt, H., Kettler, A., Heuer, F., Simon, U., Claes, L., & Wilke, H.-J. (2007) · Spine · doi:10.1097/01.brs.0000259059.90430.c2 · Cited by 276
Degenerative Spondylolisthesis: Review of Current Trends and Controversies
Sengupta, D. K., & Herkowitz, H. N. (2005) · Spine · doi:10.1097/01.brs.0000155579.88537.8e · Cited by 269
Hussein, A. I., Jackman, T. M., Morgan, S. R., Barest, G. D., & Morgan, E. F. (2013) · Osteoporosis International · doi:10.1007/s00198-013-2417-3 · Cited by 39
Metadata
- Authors
- McNALLY, D. S., & ADAMS, M. A.
- Venue
- Spine
- Published
- 1992-01
- Volume
- 17
- Issue
- 1
- Pages
- 66-73
- ISSN
- 0362-2436 (ISSN-L)
- OpenAlex
- W2001970282
- Cited by
- 369
- References
- 0
- FWCI
- 4.27
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Internal Intervertebral Disc Mechanics as Revealed by Stress Profilometry. https://app.cochat.ai/papers/10.1097/00007632-199201000-00011
- The paper
- McNALLY, D. S., & ADAMS, M. A. (1992). Internal Intervertebral Disc Mechanics as Revealed by Stress Profilometry. Spine. https://doi.org/10.1097/00007632-199201000-00011
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.