Linked Life Data

17727249

Source:http://linkedlifedata.com/resource/pubmed/id/17727249

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PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2007-8-30
pubmed:abstractText
Accurate prediction of tumor metastatic potential would be helpful in treatment planning and in the design of agents that modify the tumor phenotype. We report that three methods that are potentially transferable to the clinic--dynamic contrast enhanced MRI (DCE MRI), T(1rho)-weighted imaging and low temperature fluorescence imaging (that could be performed on biopsy specimens)--distinguished between relatively indolent (A375P) and aggressive (C8161) metastatic human melanoma xenografts in nude mice, whereas T1 and T2 relaxation time measurements did not. DCE MRI data analyzed by the BOLus Enhanced Relaxation Overview (BOLERO) method in conjunction with concurrent measurements of the arterial input function yielded a blood transfer rate constant (Ktrans) which measures perfusion/permeability, that was significantly higher in the core of the indolent tumor than in the core of the aggressive tumor. Histological staining indicated that aggressive tumors had more blood vascular structure but fewer functional vascular structure than indolent tumors. Indolent tumors exhibited T(1rho), values that were significantly higher than those of aggressive tumors at spin-locking frequencies >500 Hz. The mitochondrial redox ratio, Fp/(Fp+NADH), where Fp and NADH are the fluorescence of oxidized flavoproteins and reduced pyridine nucleotides, respectively, of aggressive tumors was much higher (more oxidized) than that of indolent tumors and often showed a bimodal distribution with an oxidized core and a reduced rim. These differences observed between these two types of tumors, one indolent and one aggressive, if generalizable, would be very valuable in predicting human melanoma metastatic potential.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0065-2598
pubmed:author
pubmed:issnType
Print
pubmed:volume
599
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
67-78
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Predicting melanoma metastatic potential by optical and magnetic resonance imaging.
pubmed:affiliation
Department of Radiology, Philadelphia, Pennsylvania 19104, USA.
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural