2011
DOI: 10.1002/nbm.1723
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Lactate MRSI and DCE MRI as surrogate markers of prostate tumor aggressiveness

Abstract: Longitudinal studies of lactate MR spectroscopic imaging (MRSI) and dynamic contrast-enhanced MR imaging (DCE-MRI) were performed at 4.7 T in two prostate tumor models grown in rats, the Dunning R3327-AT (AT) and Dunning H (H), to determine the potential of lactate and the perfusion/permeability parameter Akep as markers of tumor aggressiveness. Subcutaneous AT (n = 12) and H (n = 6) tumors were studied at different volumes between 100 and 2900 mm3 (Groups 1 to 5). Lactate concentration was determined from Sel… Show more

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Cited by 23 publications
(30 citation statements)
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“…A recent study measuring lactate accumulation and spatial distribution in prostate cancer compared the aggressive, anaplastic, fast-growing Dunning R3327-AT to the parental, well-differentiated, slow-growing Dunning R3327-H in animal models [86]. Similar to the findings in human solid tumors, the more aggressive AT tumor line showed significantly more lactate accumulation and necrosis, specifically in the tumor core [86].…”
Section: Discussionmentioning
confidence: 75%
“…A recent study measuring lactate accumulation and spatial distribution in prostate cancer compared the aggressive, anaplastic, fast-growing Dunning R3327-AT to the parental, well-differentiated, slow-growing Dunning R3327-H in animal models [86]. Similar to the findings in human solid tumors, the more aggressive AT tumor line showed significantly more lactate accumulation and necrosis, specifically in the tumor core [86].…”
Section: Discussionmentioning
confidence: 75%
“…49 Elevated level of alanine, which is also another important end product of glycolysis/glutaminolysis, was found in HNSCC and metastatic tissues and it has been found to be a major source of energy in tumor proliferation and growth. Recent studies reported that the change in lactate and alanine can act as an important parameter for monitoring tumor aggressiveness in prostate cancer 50 and prognosis for lung cancer. 51 We believe that monitoring the changes of these two metabolites could also be used as in-vivo diagnostic/prognostic marker in HNSCC.…”
Section: Discussionmentioning
confidence: 99%
“…The 1-dimensional (1D) lactate spectra from the 5-mm thick center slice were processed by a 1D Fourier transform, similar to our previous methodology (31). The absolute magnitude of the echo signal from the slice was fitted by a home-written program using Matlab® (The MathWorks) and normalized to the slice volume.…”
Section: Methodsmentioning
confidence: 99%
“…The sections were then stained with CD31 antibody (endothelial cell marker) and adjacent tumor sections were processed for H&E staining. Images of the sections were processed using Matlab® to estimate the fraction of tumor necrosis (31). …”
Section: Methodsmentioning
confidence: 99%