The DOI matches its Crossref record.
Tumor Detection by Nuclear Magnetic Resonance
Abstract
Spin echo nuclear magnetic resonance measurements may be used as a method for discriminating between malignant tumors and normal tissue. Measurements of spin-lattice ( T 1 ) and spin-spin ( T 2 ) magnetic relaxation times were made in six normal tissues in the rat (muscle, kidney, stomach, intestine, brain, and liver) and in two malignant solid tumors, Walker sarcoma and Novikoff hepatoma. Relaxation times for the two malignant tumors were distinctly outside the range of values for the normal tissues studied, an indication that the malignant tissues were characterized by an increase in the motional freedom of tissue water molecules. The possibility of using magnetic relaxation methods for rapid discrimination between benign and malignant surgical specimens has also been considered. Spin-lattice relaxation times for two benign fibroadenomas were distinct from those for both malignant tissues and were the same as those of muscle.
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
Water as an active constituent in cell biology
Ball, P. (2008) · Chemical Reviews · doi:10.1021/cr068037a · Cited by 2,177
Spin warp NMR imaging and applications to human whole-body imaging
Edelstein, W. A., Hutchison, J. M. S., Johnson, G., & Redpath, T. (1980) · Physics in Medicine & Biology · doi:10.1088/0031-9155/25/4/017 · Cited by 803
Echo-Planar Imaging: Magnetic Resonance Imaging in a Fraction of a Second
Stehling, M. K., Turner, R., & Mansfield, P. (1991) · Science · doi:10.1126/science.1925560 · Cited by 623
Pros and cons of ultra-high-field MRI/MRS for human application
Ladd, M. E., Bachert, P., Meyerspeer, M., Moser, E., Nagel, A. M., Norris, D. G., Schmitter, S., Speck, O., Straub, S., & Zaiss, M. (2018) · Progress in Nuclear Magnetic Resonance Spectroscopy · doi:10.1016/j.pnmrs.2018.06.001 · Cited by 544
Human Body Composition: Advances in Models and Methods
B. Heymsfield, S., Wang, Z., Baumgartner, R. N., & Ross, R. (1997) · Annual Review of Nutrition · doi:10.1146/annurev.nutr.17.1.527 · Cited by 527
Metadata
- Authors
- Damadian, R.
- Venue
- Science
- Published
- 1971-03-19
- Volume
- 171
- Issue
- 3976
- Pages
- 1151-1153
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2086807063
- Cited by
- 1,466
- References
- 0
- FWCI
- 10.68
- 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: Tumor Detection by Nuclear Magnetic Resonance. https://app.cochat.ai/papers/10.1126/science.171.3976.1151
- The paper
- Damadian, R. (1971). Tumor Detection by Nuclear Magnetic Resonance. Science. https://doi.org/10.1126/science.171.3976.1151
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.