Linked Life Data

2592806

Source:http://linkedlifedata.com/resource/pubmed/id/2592806

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
1990-1-24
pubmed:abstractText
In order to confirm whether Inoue's microdensitometry (MD) method can assess the severity of spinal or femoral osteoporosis, the evaluation of osteoporosis in 116 patients was carried out by four methods: The MD method using X-ray picture of the hand along with an aluminium step-wedge, Itami index using X-ray picture of lumbar vertebrae, Singh index using X-ray picture of femur, and QDR method assessing BMC. The total MD score correlated significantly with the Itami index (rs = 0.691, p less than 0.001), but did not correlate significantly with the Singh index. In the group of no osteoporosis judged by the Itami index, the total MD score showed a 6.4% false positive rate. In the group of osteoporosis judged by the Itami index, the total MD score showed a 15.8% false negative rate. In order to establish a more reliable index, we developed a new H.I index (MCI X GSmin X 100). With this H.I index, the false positive rate was 1.3%, and false negative rate was 0%, and then it correlated significantly with the BMD of the lumbar vertebrae (r = 0.759, p less than 0.001). It is concluded that the MD method reflects totally osteoporotic bone loss of vertebrae but the total MD score is not so reliable, and the H.I index is a more exact indicator of osteoporosis than the total MD score.
pubmed:language
jpn
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0300-9165
pubmed:author
pubmed:issnType
Print
pubmed:volume
41
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1810-6
pubmed:dateRevised
2011-7-29
pubmed:meshHeading
pubmed:year
1989
pubmed:articleTitle
[Reevaluation of microdensitometry method in diagnosing osteoporosis].
pubmed:affiliation
Department of Obstetrics and Gynecology, Gunma University School of Medicine, Maebashi.
pubmed:publicationType
Journal Article, English Abstract, Research Support, Non-U.S. Gov't