The DOI matches its Crossref record.
Metabolic Imaging by Hyperpolarized 13C Magnetic Resonance Imaging for In vivo Tumor Diagnosis
Open accessAbstract
The “Warburg effect,” an elevation in aerobic glycolysis, may be a fundamental property of cancer cells. For cancer diagnosis and treatment, it would be valuable if elevated glycolytic metabolism could be quantified in an image in animals and humans. The pyruvate molecule is at the metabolic crossroad for energy delivery inside the cell, and with a noninvasive measurement of the relative transformation of pyruvate into lactate and alanine within a biologically relevant time frame (seconds), it may be possible to quantify the glycolytic status of the cells. We have examined the metabolism after i.v. injection of hyperpolarized 13C-pyruvate in rats with implanted P22 tumors. The strongly enhanced nuclear magnetic resonance signal generated by the hyperpolarization techniques allows mapping of pyruvate, lactate, and alanine in a 5 × 5 × 10 mm3 imaging voxel using a 1.5 T magnetic resonance scanner. The magnetic resonance scanning (chemical shift imaging) was initiated 24 seconds after the pyruvate injection and had a duration of 14 seconds. All implanted tumors showed significantly higher lactate content than the normal tissue. The results indicate that noninvasive quantification of localized Warburg effect may be possible. (Cancer Res 2006; 66(22): 10855-60)
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
Crosby, D., Bhatia, S., Brindle, K. M., Coussens, L. M., Dive, C., Emberton, M., Esener, S., Fitzgerald, R. C., Gambhir, S. S., Kuhn, P., et al. (2022) · Science · doi:10.1126/science.aay9040 · Cited by 1,379
Intraoperative Tissue Identification Using Rapid Evaporative Ionization Mass Spectrometry
Balog, J., Sasi-Szabó, L., Kinross, J., Lewis, M. R., Muirhead, L. J., Veselkov, K., Mirnezami, R., Dezső, B., Damjanovich, L., Darzi, A., et al. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3005623 · Cited by 608
Multimodality Molecular Imaging of Tumor Angiogenesis
Cai, W., & Chen, X. (2008) · Journal of Nuclear Medicine · doi:10.2967/jnumed.107.045922 · Cited by 494
Gallagher, F. A., Kettunen, M. I., Hu, D.-E., Jensen, P. R., Zandt, R. I. ‘., Karlsson, M., Gisselsson, A., Nelson, S. K., Witney, T. H., Bohndiek, S. E., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911447106 · Cited by 301
Self-citationHu, S., Balakrishnan, A., Bok, R. A., Anderton, B., Larson, P. E. Z., Nelson, S. J., Kurhanewicz, J., Vigneron, D. B., & Goga, A. (2011) · Cell Metabolism · doi:10.1016/j.cmet.2011.04.012 · Cited by 245
Metadata
- Authors
- Golman, K., Zandt, R. I., Lerche, M., Pehrson, R., & Ardenkjaer-Larsen, J. H.
- Venue
- Cancer Research
- Published
- 2006-11-15
- Volume
- 66
- Issue
- 22
- Pages
- 10855-10860
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W1975107578
- Cited by
- 591
- References
- 0
- FWCI
- 11.98
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Metabolic Imaging by Hyperpolarized 13C Magnetic Resonance Imaging for In vivo Tumor Diagnosis. https://app.cochat.ai/papers/10.1158/0008-5472.can-06-2564
- The paper
- Golman, K., Zandt, R. I., Lerche, M., Pehrson, R., & Ardenkjaer-Larsen, J. H. (2006). Metabolic Imaging by Hyperpolarized 13C Magnetic Resonance Imaging for In vivo Tumor Diagnosis. Cancer Research. https://doi.org/10.1158/0008-5472.can-06-2564
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.