The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Imaging of Cell Proliferation: Status and Prospects
Open accessAbstract
Increased cellular proliferation is an integral part of the cancer phenotype. Several in vitro assays have been developed to measure the rate of tumor growth, but these require biopsies, which are particularly difficult to obtain over time and in different areas of the body in patients with multiple metastatic lesions. Most of the effort to develop imaging methods to noninvasively measure the rate of tumor cell proliferation has focused on the use of PET in conjunction with tracers for the thymidine salvage pathway of DNA synthesis, because thymidine contains the only pyrimidine or purine base that is unique to DNA. Imaging with 11C-thymidine has been tested for detecting tumors and tracking their response to therapy in animals and patients. Its major limitations are the short half-life of 11C and the rapid catabolism of thymidine after injection. These limitations led to the development of analogs that are resistant to degradation and can be labeled with radionuclides more conducive to routine clinical use, such as 18F. At this point, the thymidine analogs that have been studied the most are 3'-deoxy-3'-fluorothymidine (FLT) and 1-(2'-deoxy-2'-fluoro-1-beta-d-arabinofuranosyl)-thymine (FMAU). Both are resistant to degradation and track the DNA synthesis pathway. FLT is phosphorylated by thymidine kinase 1, thus being retained in proliferating cells. It is incorporated by the normal proliferating marrow and is glucuronidated in the liver. FMAU can be incorporated into DNA after phosphorylation but shows less marrow uptake. It shows high uptake in the normal heart, kidneys, and liver, in part because of the role of mitochondrial thymidine kinase 2. Early clinical data for 18F-FLT demonstrated that its uptake correlates well with in vitro measures of proliferation. Although 18F-FLT can be used to detect tumors, its tumor-to-normal tissue contrast is generally lower than that of 18F-FDG in most cancers outside the brain. The most promising use for thymidine and its analogs is in monitoring tumor treatment response, as demonstrated in animal studies and pilot human trials. Further work is needed to determine the optimal tracer(s) and timing of imaging after treatment.
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
The Ki-67 protein: From the known and the unknown
Scholzen, T., & Gerdes, J. (2000) · Journal of Cellular Physiology · doi:10.1002/(sici)1097-4652(200003)182:3<311::aid-jcp1>3.0.co;2-9 · Cited by 4,646
Molecular imaging in living subjects: seeing fundamental biological processes in a new light
Massoud, T. F., & Gambhir, S. S. (2003) · Genes & Development · doi:10.1101/gad.1047403 · Cited by 2,216
Partial-Volume Effect in PET Tumor Imaging
Soret, M., Bacharach, S. L., & Buvat, I. (2007) · Journal of Nuclear Medicine · doi:10.2967/jnumed.106.035774 · Cited by 1,549
Imaging proliferation in vivo with [F-18]FLT and positron emission tomography
Shields, A. F., Grierson, J. R., Dohmen, B. M., Machulla, H.-J., Stayanoff, J. C., Lawhorn-Crews, J. M., Obradovich, J. E., Muzik, O., & Mangner, T. J. (1998) · Nature Medicine · doi:10.1038/3337 · Cited by 1,204
Self-citationThymidine metabolism and cell kinetics
Cleaver, J. E. (1967) · Medical Entomology and Zoology · Cited by 510
Regulation of human thymidine kinase during the cell cycle.
Sherley, J. L., & Kelly, T. J. (1988) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)68484-4 · Cited by 438
Imaging proliferation in brain tumors with 18F-FLT PET: comparison with 18F-FDG.
Chen, W., Cloughesy, T. F., Kamdar, N. V., Satyamurthy, N., Bergsneider, M., Liau, L. M., Mischel, P. S., Czernin, J., Phelps, M. E., & Silverman, D. H. S. (2005) · PubMed · Cited by 437
Imaging proliferation in lung tumors with PET: 18F-FLT versus 18F-FDG.
Buck, A. K., Halter, G., Schirrmeister, H., Kotzerke, J., Wurziger, I., Glatting, G., Mattfeldt, T., Neumaier, B., Reske, S. N., & Hetzel, M. (2003) · PubMed · Cited by 403
Prognostic value of proliferation in invasive breast cancer: a review: Table 1
van Diest, P. J., van der Wall, E., & Baak, J. P. A. (2004) · Journal of Clinical Pathology · doi:10.1136/jcp.2003.010777 · Cited by 385
Higashi, K., Clavo, A. C., & Wahl, R. L. (1993) · PubMed · Cited by 310
Cited by
Selective CDK4/6 inhibition with tumor responses by PD0332991 in patients with mantle cell lymphoma
Leonard, J. P., LaCasce, A. S., Smith, M. R., Noy, A., Chirieac, L. R., Rodig, S. J., Yu, J. Q., Vallabhajosula, S., Schoder, H., English, P., et al. (2012) · Blood · doi:10.1182/blood-2011-10-388298 · Cited by 299
PET/CT imaging in cancer: current applications and future directions
Farwell, M. D., Pryma, D. A., & Mankoff, D. A. (2014) · Cancer · doi:10.1002/cncr.28860 · Cited by 230
Molecular imaging with SPECT as a tool for drug development
Gomes, C. M., Abrunhosa, A. J., Ramos, P., & Pauwels, E. K. J. (2011) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2010.09.015 · Cited by 100
Assessment of Cellular Proliferation in Tumors by PET Using 18F-ISO-1
Dehdashti, F., Laforest, R., Gao, F., Shoghi, K. I., Aft, R. L., Nussenbaum, B., Kreisel, F. H., Bartlett, N. L., Cashen, A., Wagner-Johnson, N., et al. (2013) · Journal of Nuclear Medicine · doi:10.2967/jnumed.112.111948 · Cited by 80
Metadata
- Authors
- Bading, J. R., & Shields, A. F.
- Venue
- Journal of Nuclear Medicine
- Publisher
- Society of Nuclear Medicine
- Published
- 2008-06
- Volume
- 49
- Issue
- Suppl 2
- Pages
- 64S-80S
- ISSN
- 0161-5505 (ISSN-L)
- 2159-662X
- OpenAlex
- W2105315565
- Cited by
- 320
- References
- 73
- FWCI
- 24.13
- 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: Imaging of Cell Proliferation: Status and Prospects. https://app.cochat.ai/papers/10.2967/jnumed.107.046391
- The paper
- Bading, J. R., & Shields, A. F. (2008). Imaging of Cell Proliferation: Status and Prospects. Journal of Nuclear Medicine. https://doi.org/10.2967/jnumed.107.046391
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.