The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
MRI of the tumor microenvironment
Open accessAbstract
The microenvironment within tumors is significantly different from that in normal tissues. A major difference is seen in the chaotic vasculature of tumors, which results in unbalanced blood supply and significant perfusion heterogeneities. As a consequence, many regions within tumors are transiently or chronically hypoxic. This exacerbates tumor cells' natural tendency to overproduce acids, resulting in very acidic pH values. The hypoxia and acidity of tumors have important consequences for antitumor therapy and can contribute to the progression of tumors to a more aggressive metastatic phenotype. Over the past decade, techniques have emerged that allow the interrogation of the tumor microenvironment with high resolution and molecularly specific probes. Techniques are available to interrogate perfusion, vascular distribution, pH, and pO 2 nondestructively in living tissues with relatively high precision. Studies employing these methods have provided new insights into the causes and consequences of the hostile tumor microenvironment. Furthermore, it is quite exciting that there are emerging techniques that generate tumor image contrast via ill‐defined mechanisms. Elucidation of these mechanisms will yield further insights into the tumor microenvironment. This review attempts to identify techniques and their application to tumor biology, with an emphasis on nuclear magnetic resonance (NMR) approaches. Examples are also discussed using electron MR, optical, and radionuclear imaging techniques. J. Magn. Reson. Imaging 2002;16:430–450. © 2002 Wiley‐Liss, Inc.
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
Cites
Jaakkola, P., Mole, D. R., Tian, Y.-M., Wilson, M. I., Gielbert, J., Gaskell, S. J., Kriegsheim, A. V., Hebestreit, H. F., Mukherji, M., Schofield, C. J., et al. (2001) · Science · doi:10.1126/science.1059796 · Cited by 5,535
Hypoxia-mediated selection of cells with diminished apoptotic potential in solid tumours
Graeber, T. G., Osmanian, C., Jacks, T., Housman, D. E., Koch, C. J., Lowe, S. W., & Giaccia, A. J. (1996) · Nature · doi:10.1038/379088a0 · Cited by 2,300
Shweiki, D., Neeman, M., Itin, A., & Keshet, E. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.3.768 · Cited by 599
Clifford, S. C. (2001) · Human Molecular Genetics · doi:10.1093/hmg/10.10.1029 · Cited by 373
Cited by
Why Do Cancers Have High Aerobic Glycolysis?
Gatenby, R. A., & Gillies, R. J. (2004) · Nature reviews. Cancer · doi:10.1038/nrc1478 · Cited by 4,784
The Science and Translation of Lactate Shuttle Theory
Brooks, G. A. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.03.008 · Cited by 1,486
Mechanisms and biomaterials in pH-responsive tumour targeted drug delivery: A review
Kanamala, M., Wilson, W. R., Yang, M., Palmer, B. D., & Wu, Z. (2016) · Biomaterials · doi:10.1016/j.biomaterials.2016.01.061 · Cited by 1,004
The role of disturbed pH dynamics and the Na+/H+ exchanger in metastasis
Cardone, R. A., Casavola, V., & Reshkin, S. J. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1713 · Cited by 897
Resistance to cancer chemotherapy: failure in drug response from ADME to P-gp
Alfarouk, K. O., Stock, C.-M., Taylor, S., Walsh, M., Muddathir, A. K., Verduzco, D., Bashir, A. H. H., Mohammed, O. Y., Elhassan, G. O., Harguindey, S., et al. (2015) · Cancer Cell International · doi:10.1186/s12935-015-0221-1 · Cited by 665
Metadata
- Authors
- Gillies, R. J., Raghunand, N., Karczmar, G. S., & Bhujwalla, Z. M.
- Venue
- Journal of Magnetic Resonance Imaging
- Publisher
- Wiley
- Published
- 2002-09-25
- Volume
- 16
- Issue
- 4
- Pages
- 430-450
- ISSN
- 1053-1807 (ISSN-L)
- 1522-2586
- OpenAlex
- W2026103498
- Cited by
- 550
- References
- 4
- FWCI
- 10.24
- 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: MRI of the tumor microenvironment. https://app.cochat.ai/papers/10.1002/jmri.10181
- The paper
- Gillies, R. J., Raghunand, N., Karczmar, G. S., & Bhujwalla, Z. M. (2002). MRI of the tumor microenvironment. Journal of Magnetic Resonance Imaging. https://doi.org/10.1002/jmri.10181
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.