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BONE DENSITOMETRY QUESTIONS WITH ACTUAL SOLUTIONS
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BONE DENSITOMETRY QUESTIONS WITH ACTUAL SOLUTIONS
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BONE DENSITOMETRY QUESTIONSWITH ACTUAL SOLUTIONS
Bone eedensitometry eeis eewhat eekind eeof eetechnique?
A. eeNone eeof eethe eeAbove
B. eeMixed eeMethod
C. eeQualitative
D. eeQuantitative ee- eeAnswer eeD. eeQuantitative
Good eeaccuracy eeis eeanalogous eeto:
A. eeMultiple eearrows eehitting eethe eebulls-eye eeof eethe eetarget.
B. eeHitting eethe eebulls eeeye eeon eea eetarget eewith eeone eearrow.
C. eeHitting eethe eewidest eesurface eearea eeon eethe eetarget eepossible eewith eethe
eeavailable eenumber eeof eearrows.
D. eeAll eethe eearrows eehitting eethe eetarget eearound eethe eesame eespot, eebut eenot
eenecessarily eethe eebulls-eye. ee- eeAnswer eeB. eeHitting eethe eebulls eeeye eeon eea
eetarget eewith eeone eearrow.
Good eeprecision eeis eeanalogous eeto:
A. eeHitting eethe eebulls eeeye eeon eea eetarget eewith eeone eearrow.
B. eeMultiple eearrows eehitting eethe eebulls-eye eeof eethe eetarget.
C. eeAll eethe eearrows eehitting eethe eetarget eearound eethe eesame eespot, eebut eenot
eenecessarily eethe eebulls-eye.
D. eeHitting eethe eewidest eesurface eearea eeon eethe eetarget eepossible eewith eethe
eeavailable eenumber eeof eearrows. ee- eeAnswer eeC. eeAll eethe eearrows eehitting eethe
eetarget eearound eethe eesame eespot, eebut eenot eenecessarily eethe eebulls-eye.
Good eeaccuracy eeand eeprecision eeis eeanalogous eeto:
A. eeHitting eethe eebulls eeeye eeon eea eetarget eewith eeone eearrow.
B. eeHitting eethe eewidest eesurface eearea eeon eethe eetarget eepossible eewith eethe
eeavailable eenumber eeof eearrows.
C. eeAll eethe eearrows eehitting eethe eetarget eearound eethe eesame eespot, eebut eenot
eenecessarily eethe eebulls-eye.
D. eeMultiple eearrows eehitting eethe eebulls-eye eeof eethe eetarget. ee- eeAnswer eeD.
eeMultiple eearrows eehitting eethe eebulls-eye eeof eethe eetarget.
Which eeof eethe eefollowing eebones eeare eenot eeconsidered eeweight-bearing?
,A. eeRadius/Ulnar
B. eeOs eeCalcis
C. eePelvis
D. eeL-4 ee- eeAnswer eeA. eeRadius/Ulnar
Which eeof eethe eefollowing eebones eeconsidered eeweight-bearing?
A. eeHumerus
B. eeOs eeCalcis
C. eeRadius/Ulnar
D. eeClavicle ee- eeAnswer eeB. eeOs eeCalcis
Which eeof eethe eefollowing eebones eeconsidered eepart eeof eethe eeaxial eeskeleton?
A. eeTibia/Fibula
B. eeL-4
C. eeOs eeCalcis
D. eeRadius/Ulnar ee- eeAnswer eeB. eeL-4
Which eeof eethe eefollowing eebones eeconsidered eepart eeof eethe eeappendicular
eeskeleton?
A. eePelvis
B. eeSkull
C. eeL-4
D. ee1st eeRib ee- eeAnswer eeA. eePelvis
Which eeof eethe eefollowing eeis eenot eetrue eeabout eethe eecalcaneus?
A. eeweight-bearing
B. eeappendicular
C. eepredominantly eecortical
D. eeperipheral ee- eeAnswer eeC. eepredominantly eecortical
Which eeof eethe eefollowing eeis eenot eetrue eeabout eethe eefemoral eeneck?
A. eepredominantly eecortical
B. eeperipheral
C. eeweight-bearing
D. eeappendicular ee- eeAnswer eeB. eeperipheral
Which eeof eethe eefollowing eeis eenot eetrue eeabout eethe eelumbar eespine?
A. eecentral
B. eeweight-bearing
C. eepredominantly eetrabecular
,D. eeappendicular ee- eeAnswer eeD. eeappendicular
What eeis eenot eeobtained eeand eereported eeduring eea eeDXA eescan?
A. eeBone eemineral eecontent
B. eePart eethickness
C. eeBone eemineral eedensity
D. eeArea ee- eeAnswer eeB. eePart eethickness
What eeunit eeof eemeasurement eeis eeused eefor eeBMC?
A. eeMeters
B. eeGrams
C. eeOunces
D. eeInches ee- eeAnswer eeB. eeGrams
What eeunit eeof eemeasurement eeis eeused eefor eeBMD?
A. eeGrams eeper eecentimeter-squared
B. eeGrams-squared eeper eecentimeter
C. eeGrams eeper eecentimeter
D. eeGrams ee- eeAnswer eeA. eeGrams eeper eecentimeter-squared
What eeis eethe eeformula eefor eeBMC?
A. eeBMC ee= ee(grams eeper eecentimeter-squared) ee÷ ee(centimeters-squared)
B. eeBMC ee= ee(grams eeper eecentimeter-squared) eeX ee(centimeters-squared)
C. eeBMC ee= ee(grams eeX eecentimeter-squared) ee÷ ee(centimeters-squared)
D. eeBMC ee= ee(grams eeX eecentimeters-squared) eeX ee(centimeters-squared) ee-
eeAnswer eeB. eeBMC ee= ee(grams eeper eecentimeter-squared) eeX ee(centimeters-
squared)
Given eea eeBMD eeof ee4 eeand eean eeArea eeof ee4, eewhat eewould eethe eeBMC eebe?
A. ee0
B. ee8
C. ee16
D. ee4 ee- eeAnswer eeC. ee16
Given eea eeBMC eeof ee20 eeand eean eeArea eeof ee4, eewhat eewould eethe eeBMD eebe?
A. ee16
B. ee24
C. ee80
D. ee5 ee- eeAnswer eeD. ee5
, Given eea eeBMC eeof ee30 eeand eean eeBMD eeof ee6, eewhat eewould eethe eeBMD eebe?
A. ee24
B. ee36
C. ee180
D. ee5 ee- eeAnswer eeD. ee5
Given eethe eefollowing eeinformation, eecalculate eethe eeBMD eefor eeL1-L4.
eeArea eeBMC eeBMD
L1 ee13.08 ee8.36 ee0.639
L2 ee13.42 ee9.90 ee0.738
L3 ee15.06 ee12.01 ee0.798
L4 ee17.71 ee15.33 ee0.866
A. ee3.041
B. ee0.769
C. ee1.299
D. ee0.760 ee- eeAnswer eeB. ee0.769
Given eethe eefollowing eeinformation, eecalculate eethe eeBMD eefor eeL2-L3.
eeArea eeBMC eeBMD
L1 ee13.08 ee8.36 ee0.639
L2 ee13.42 ee9.90 ee0.738
L3 ee15.06 ee12.01 ee0.798
L4 ee17.71 ee15.33 ee0.866
A. ee1.37
B. ee0.769
C. ee0.688
D. ee1.299 ee- eeAnswer eeB. ee0.769
A eestatistical eemean eeis:
A. eethe eevalue eeof eethe eesamples eewhich eeoccurs eemost eeoften eein eethe eesample
eepopulation
B. eethe eevalue eeof eethe eesamples eewhich eeis eein eethe eeexact eemiddle eeof eethe
eerange eeof eethe eesample eevalues
C. eethe eesum eeof eethe eevalues eeof eeall eethe eesamples eedivided eeby eethe eenumber
eeof eesamples
D. eethe eeinstructor eefor eemaking eeyou eeknow eestatistics!! ee- eeAnswer eeC. eethe eesum
eeof eethe eevalues eeof eeall eethe eesamples eedivided eeby eethe eenumber eeof eesamples
Statistical eevariance eeis:
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