The composition of bone marrow for a dual-energy quantitative computed tomography technique. A cadaver and computer simulation study.
OBJECTIVE
The authors have been developing a dual-energy quantitative computed tomography (DE-QCT) technique that requires calibration standards that mimic the x-ray attenuation properties of bone, red marrow, and yellow marrow. To resolve questions regarding the compositions of red and yellow marrow that appear in the literature, the authors performed chemical analyses of bone marrow samples. The newly derived compositions were used in a simulation study to test the accuracy of the DEQCT technique.


METHODS
Red marrow samples were extruded from the vertebrae of cadavers of young boys. Yellow marrow samples were removed directly from the femurs of cadavers of elderly women. The fat, protein, water, and mineral contents of these samples were determined. The compositions of 12 mixed marrow samples extruded from cadaver vertebrae also were measured. A computer simulation study was performed in which calibration standards with the new compositions were employed to estimate the fat and bone contents of spongiosas containing the 12 mixed marrows.


CONCLUSIONS
The red marrow samples contained 3% to 6% fat, 6% to 8% protein, 82% to 86% water, and 0.5% to 1% mineral. The yellow marrow samples contained 71% to 92% fat, 1% to 2% protein, 7% to 26% water, and 0.2% to 0.4% mineral. The simulation study yielded good results in three cases and mediocre to poor results in nine cases. An alternative approach was tried in which an average fat-free marrow was derived from the compositions of the 12 mixed marrows, and this substance, fat, and bone were used as the calibration standards. The DEQCT technique with these standards was applied to simulated spongiosas containing the 12 original mixed marrows plus nine additional mixed marrows. All of the estimates were in good agreement with the true compositions. The rms error of the mass fractions of fat was 0.03, and the rms error of the bone concentrations was 3.7 mg/mL.
Goodsitt
M M
MM
Department of Radiology, University of Washington, Seattle.
Hoover
P
P
Veldee
M S
MS
Hsueh
S L
SL
D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D001834:Body Water / Q000737:chemistry; D001853:Bone Marrow / Q000737:chemistry* / Q000000981:diagnostic imaging*; D002102:Cadaver; D002138:Calibration; D002675:Child, Preschool; D003198:Computer Simulation; D005260:Female; D005947:Glucose / Q000032:analysis; D006801:Humans; D007223:Infant; D008055:Lipids / Q000032:analysis; D008297:Male; D008903:Minerals / Q000032:analysis; D011506:Proteins / Q000032:analysis; D011856:Radiographic Image Enhancement / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000379:methods*
D008055:Lipids; D008903:Minerals; D011506:Proteins; D005947:Glucose