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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
2
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pubmed:dateCreated |
1985-6-7
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pubmed:abstractText |
To evaluate the extent of renal osteodystrophy in patients with chronic renal failure, the CT numbers of the lateral condylus and mid-shaft of the femur were measured. To adjust for variation due to measurement conditions, calibration phantom was simultaneously scanned with the femur. The CT numbers of the lateral condylus were significantly lower than the control in both nondialyzed (p less than 0.005) and dialyzed patients (p less than 0.05). The CT numbers of the mid-shaft of the femur in dialyzed patients correlated significantly to the duration of hemodialysis (r = 0.807, p less than 0.001). In 15 patients subjected to both CT scan and the photon absorptiometry, the CT numbers of the lateral condylus positively correlated to the mineral content of the radial (r = 0.57) and ulnar (r = 0.69) bones as calculated by photon absorptiometry. These results indicate that the CT scan can be used to estimate bone mineral content quantitatively, and is useful tool for evaluating renal osteodystrophy in patients with chronic renal failure.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:chemical | |
pubmed:status |
MEDLINE
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pubmed:month |
Mar
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pubmed:issn |
0391-3988
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
8
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
95-100
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pubmed:dateRevised |
2004-11-17
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pubmed:meshHeading |
pubmed-meshheading:3988368-Adult,
pubmed-meshheading:3988368-Bone and Bones,
pubmed-meshheading:3988368-Female,
pubmed-meshheading:3988368-Femur,
pubmed-meshheading:3988368-Humans,
pubmed-meshheading:3988368-Kidney Failure, Chronic,
pubmed-meshheading:3988368-Male,
pubmed-meshheading:3988368-Middle Aged,
pubmed-meshheading:3988368-Minerals,
pubmed-meshheading:3988368-Renal Osteodystrophy,
pubmed-meshheading:3988368-Tomography, X-Ray Computed
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pubmed:year |
1985
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pubmed:articleTitle |
Deranged mineral content in the bone of patients with chronic renal failure, estimated by computed tomography.
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pubmed:publicationType |
Journal Article
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