Linked Life Data

16171034

Source:http://linkedlifedata.com/resource/pubmed/id/16171034

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2005-9-20
pubmed:abstractText
The goal of this study was to discuss the value of integrating biological imaging (PET, SPECT, MRS etc.) in radiation treatment planning and monitoring. Studies in patients with brain tumors have shown that, compared to CT and MRI alone, the image fusion of CT/MRI and amino acid SPECT or PET allows a more correct delineation of gross tumor volume (GTV) and planning target volume (PTV). For FDG-PET comparable results with different techniques are reported in the literature also for bronchial carcinoma, ear-nose-and-throat tumors, and cervical carcinoma, or, in the case of MRS, for prostate cancer. Imaging of hypoxia, cell proliferation, apoptosis, tumor angiogenesis, and gene expression leads to the identification of differently aggressive areas of a biologically inhomogeneous tumor mass that can be individually and more appropriately targeted using innovative IMRT. Thus, a biological, inhomogeneous dose distribution can be generated, the so-called dose painting. In addition, the biological imaging can play a significant role in the evaluation of the therapy response after radiochemotherapy. Clinical studies in ear-nose-and-throat tumors, bronchial carcinoma, esophagus carcinoma, and cervical carcinoma suggest that the sensitivity and specificity of FDG-PET for the therapy response are higher compared to anatomical imaging (CT and MRI). Clinical and experimental studies are required to define the real impact of these investigations in radiation treatment planning, and especially in the evaluation of therapy response.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0939-3889
pubmed:author
pubmed:issnType
Print
pubmed:volume
15
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
141-5
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Biological imaging in radiation oncology.
pubmed:affiliation
Department of Radiation Oncology, Klinik und Poliklinik für Strahlentherapie und Radiologische Onkologie, Klinikum rechts der Isar, Technical University of Munich, Germany. anca-ligia.grosu@lrz.tum.de
pubmed:publicationType
Journal Article