Linked Life Data

15936502

Source:http://linkedlifedata.com/resource/pubmed/id/15936502

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2005-6-6
pubmed:abstractText
We reported the use of high-frequency ultrasound biomicroscopy (UBM) in the quantitative analysis of early tumor growth in mice bearing melanoma xenografts in a noninvasive longitudinal assay. Initially, measurements of tumor width, depth and length were obtained using on-screen UBM calipers in real time and tumor volume was calculated with the standard ellipsoid formula w d l pi/6. We were able to detect initiating minute tumor nodules, with the lower limit of detection at approximately 0.01 mm(3) in volume. Successive parallel cross-sectional UBM images (33 microm step) encompassing the complete length of these tumors were also obtained and reconstructed into 3-D representations. Subsequent segmentational volumetric analysis provided a measure of tumor volume. Volume measurements using the two techniques were highly correlated when all 33 xenografts were studied (r = 0.9813, p < 0.0001) and a lower degree of correlation was measured with a subset of early small tumors (r = 0.7973, n = 16, p = 0.0004). Further analysis demonstrated that 3-D segmentational volumetric analysis yielded volume estimates that were often smaller than the caliper-and-formula calculation for most early developing xenografts. Thus, 3-D UBM imaging and segmentation is expected to be especially valuable for small tumors that were observed to grow in irregular shapes other than ellipsoids.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0301-5629
pubmed:author
pubmed:issnType
Print
pubmed:volume
31
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
865-70
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Three-dimensional ultrasound biomicroscopy for xenograft growth analysis.
pubmed:affiliation
Imaging Research, Sunnybrook and Women's College Health Sciences Center, Toronto, ONT, Canada. acheung@sten.sunnybrook.utoronto.ca
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't