title: Clinical utility of bone mass measurements in adults: consensus of an international panel. The Society for Clinical Densitometry.
abstract: Low bone mass predicts future fracture risk as well as high cholesterol or high blood pressure can predict the risk of heart disease or stroke. Prevention of the first fracture should be a clinical goal. In patients without fractures, osteopenia and osteoporosis can be diagnosed based on the extent of reduction in bone mass below mean peak bone mass of young healthy individuals. As bone mass decreases, fracture risk increases exponentially. Clinical situations in which an assessment of bone mass and fracture risk affects therapeutic decisions include estrogen deficiency, vertebral abnormalities, radiographic osteopenia, asymptomatic primary hyperparathyroidism, and long-term corticosteroid therapy. Serial measurements can also be used to monitor the effects of osteoporosis treatments. The appropriate technique and skeletal site for bone mass measurements should be chosen based on the patient's circumstances and the precision of measurement. A clinical interpretation can enhance the value of computer-generated bone mass measurement reports and improve decision making.
authors.affiliation: Society for Clinical Densitometry, Norwich, NY 13815, USA.
authors.forename: P D
authors.initials: PD
authors.lastname: Miller
authors.forename: S L
authors.initials: SL
authors.lastname: Bonnick
authors.forename: C J
authors.initials: CJ
authors.lastname: Rosen
authors.forename: R D
authors.initials: RD
authors.lastname: Altman
authors.forename: L V
authors.initials: LV
authors.lastname: Avioli
authors.forename: J
authors.initials: J
authors.lastname: Dequeker
authors.forename: D
authors.initials: D
authors.lastname: Felsenberg
authors.forename: H K
authors.initials: HK
authors.lastname: Genant
authors.forename: C
authors.initials: C
authors.lastname: Gennari
authors.forename: K D
authors.initials: KD
authors.lastname: Harper
authors.forename: A B
authors.initials: AB
authors.lastname: Hodsman
authors.forename: M
authors.initials: M
authors.lastname: Kleerekoper
authors.forename: C A
authors.initials: CA
authors.lastname: Mautalen
authors.forename: M R
authors.initials: MR
authors.lastname: McClung
authors.forename: P J
authors.initials: PJ
authors.lastname: Meunier
authors.forename: D A
authors.initials: DA
authors.lastname: Nelson
authors.forename: N F
authors.initials: NF
authors.lastname: Peel
authors.forename: L G
authors.initials: LG
authors.lastname: Raisz
authors.forename: R R
authors.initials: RR
authors.lastname: Recker
authors.forename: W H
authors.initials: WH
authors.lastname: Utian
authors.forename: R D
authors.initials: RD
authors.lastname: Wasnich
authors.forename: N B
authors.initials: NB
authors.lastname: Watts
mesh_terms: D015502:Absorptiometry, Photon; D000328:Adult; D000368:Aged; D015519:Bone Density; D001851:Bone Diseases, Metabolic / Q000175:diagnosis*; D003720:Densitometry / Q000379:methods; D005260:Female; D005544:Forecasting; D050723:Fractures, Bone / Q000517:prevention & control*; D006801:Humans; D008297:Male; D008875:Middle Aged; D010024:Osteoporosis / Q000175:diagnosis*; D012307:Risk Factors