The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Imaging and cancer: A review
Open accessAbstract
Multiple biomedical imaging techniques are used in all phases of cancer management. Imaging forms an essential part of cancer clinical protocols and is able to furnish morphological, structural, metabolic and functional information. Integration with other diagnostic tools such as in vitro tissue and fluids analysis assists in clinical decision‐making. Hybrid imaging techniques are able to supply complementary information for improved staging and therapy planning. Image guided and targeted minimally invasive therapy has the promise to improve outcome and reduce collateral effects. Early detection of cancer through screening based on imaging is probably the major contributor to a reduction in mortality for certain cancers. Targeted imaging of receptors, gene therapy expression and cancer stem cells are research activities that will translate into clinical use in the next decade. Technological developments will increase imaging speed to match that of physiological processes. Targeted imaging and therapeutic agents will be developed in tandem through close collaboration between academia and biotechnology, information technology and pharmaceutical industries.
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
New Guidelines to Evaluate the Response to Treatment in Solid Tumors
Therasse, P., Arbuck, S. G., Eisenhauer, E. A., Wanders, J., Kaplan, R. S., Rubinstein, L., Verweij, J., Van Glabbeke, M., van Oosterom, A. T., Christian, M. C., et al. (2000) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/92.3.205 · Cited by 15,660
Noninvasive detection of clinically occult lymph-node metastases in prostate cancer
Harisinghani, M. G., Barentsz, J., Hahn, P. F., Deserno, W. M., Tabatabaei, S., van de Kaa, C. H., de la Rosette, J., & Weissleder, R. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022749 · Cited by 1,971
The role of pericytes in blood-vessel formation and maintenance
Bergers, G., & Song, S. (2005) · Neuro-Oncology · doi:10.1215/s1152851705000232 · Cited by 1,584
Hung, S.-C., Deng, W.-P., Yang, W. K., Liu, R.-S., Lee, C.-C., Su, T.-C., Lin, R.-J., Yang, D.-M., Chang, C.-W., Chen, W.-H., et al. (2005) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-05-0876 · Cited by 268
Cited by
Radiomics: extracting more information from medical images using advanced feature analysis
Lambin, P., Rios-Velazquez, E., Leijenaar, R., Carvalho, S., van Stiphout, R. G. P. M., Granton, P., Zegers, C. M. L., Gillies, R., Boellard, R., Dekker, A., et al. (2012) · European Journal of Cancer · doi:10.1016/j.ejca.2011.11.036 · Cited by 6,084
A review of NIR dyes in cancer targeting and imaging
Luo, S., Zhang, E., Su, Y., Cheng, T., & Shi, C. (2011) · Biomaterials · doi:10.1016/j.biomaterials.2011.06.024 · Cited by 1,432
Nanomaterials for In Vivo Imaging
Smith, B. R., & Gambhir, S. S. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00073 · Cited by 1,075
Molecularly Imprinted Polymers: Antibody Mimics for Bioimaging and Therapy
Haupt, K., Medina Rangel, P. X., & Bui, B. T. S. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00428 · Cited by 561
Nanotheranostics for personalized medicine
Mura, S., & Couvreur, P. (2012) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.06.006 · Cited by 527
Metadata
- Authors
- Fass, L.
- Venue
- Molecular Oncology
- Publisher
- Wiley
- Published
- 2008-05-10
- Volume
- 2
- Issue
- 2
- Pages
- 115-152
- ISSN
- 1574-7891 (ISSN-L)
- 1878-0261
- OpenAlex
- W2137682223
- Cited by
- 822
- References
- 4
- FWCI
- 11.47
- 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 and cancer: A review. https://app.cochat.ai/papers/10.1016/j.molonc.2008.04.001
- The paper
- Fass, L. (2008). Imaging and cancer: A review. Molecular Oncology. https://doi.org/10.1016/j.molonc.2008.04.001
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.
