Linked Life Data

11776756

Source:http://linkedlifedata.com/resource/pubmed/id/11776756

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2002-1-4
pubmed:abstractText
The biological effect of radioimmunotherapy (RIT) is most commonly assessed in terms of the absorbed radiation dose. In tumor, conventional dosimetry methods assume a uniform radionuclide and calculate a mean dose throughout the tumor. However, the vasculature of solid tumors tends to be highly irregular and the systemic delivery of antibodies is therefore heterogeneous. Tumor-specific antibodies preferentially localize in the viable, radiosensitive parts of the tumor whereas non-specific antibodies can penetrate into the necrosis where the dose is wasted. As a result, the observed biological effect can be very different to the predicted effect from conventional dose estimates. The purpose of this study is to assess the potential for optimizing the biological effect of RIT by matching the dose-distribution with tumor structure through the selection of appropriate antibodies and radionuclides. Storage phosphor plate technology was used to acquire images of the antibody distribution in serial tumor sections. Images of the distributions of a trivalent (TFM), bivalent (A5B7-IgG), monovalent (MFE-23) and a non-specific antibody (MOPC) were obtained. These images were registered with corresponding images showing tumor morphology. Serial images were reconstructed to form 3D maps of the antibody distribution and tumor structure. Convolution of the image of antibody distribution with beta dose point kernals generated dose-rate distributions for 14C, 131I and 90Y. These were statistically compared with the tumor structure. The highest correlation was obtained for the multivalent antibodies combined with 131I, due to specific retention in viable areas of tumor coupled with the fact that much of the dose was deposted locally. With decreasing avidity the correlation also decreased and with the non-specific antibody this correlation was negative, indicating higher concentrations in the necrotic regions. In conclusion, the dose distribution can be optimized in tumor by selecting the appropriate antibodies and radionuclides. This has the potential to lead to a considerable enhancement of the efficacy of RIT in the clinic.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1084-9785
pubmed:author
pubmed:issnType
Print
pubmed:volume
16
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
391-400
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed-meshheading:11776756-Adenocarcinoma, pubmed-meshheading:11776756-Animals, pubmed-meshheading:11776756-Antibodies, Monoclonal, pubmed-meshheading:11776756-Antigens, Neoplasm, pubmed-meshheading:11776756-Carbon Radioisotopes, pubmed-meshheading:11776756-Carcinoembryonic Antigen, pubmed-meshheading:11776756-Colorectal Neoplasms, pubmed-meshheading:11776756-Dose-Response Relationship, Radiation, pubmed-meshheading:11776756-Humans, pubmed-meshheading:11776756-Image Processing, Computer-Assisted, pubmed-meshheading:11776756-Imaging, Three-Dimensional, pubmed-meshheading:11776756-Immunoconjugates, pubmed-meshheading:11776756-Immunoglobulin G, pubmed-meshheading:11776756-Iodine Radioisotopes, pubmed-meshheading:11776756-Luminescent Measurements, pubmed-meshheading:11776756-Mice, pubmed-meshheading:11776756-Mice, Nude, pubmed-meshheading:11776756-Neoplasms, pubmed-meshheading:11776756-Radioimmunodetection, pubmed-meshheading:11776756-Radioimmunotherapy, pubmed-meshheading:11776756-Radiometry, pubmed-meshheading:11776756-Radiotherapy Dosage, pubmed-meshheading:11776756-Sensitivity and Specificity, pubmed-meshheading:11776756-Tissue Distribution, pubmed-meshheading:11776756-Transplantation, Heterologous, pubmed-meshheading:11776756-Yttrium Radioisotopes
pubmed:year
2001
pubmed:articleTitle
Optimizing radioimmunotherapy by matching dose distribution with tumor structure using 3D reconstructions of serial images.
pubmed:affiliation
CRC Targeting and Imaging Group, Department of Oncology, Royal Free and University College Medical School, University College London, Royal Free Campus, Rowland Hill Street, London NW3 2PF, UK. a.flynn@ucl.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't