Energy spectrum CT based material imaging for quantitative and qualitative evaluation on lumbar intervertebral disc degeneration
Objective To explore the value of energy spectrum CT based material imaging for quantitatively and qualitatively evaluating lumbar intervertebral disc degeneration.Methods Lumbar energy spectrum CT and MRI were collected from 82 patients with back and leg pain,and 74 keV CT,water(chondroitin sulfate[CS])and CS(water)material images were obtained.Intervertebral discs Pfirrmann grading(PG)was performed based on MRI.CT values,water(CS)and CS(water)concentration of nucleus pulposus(NP)and annulus fibrosus(AF)in lumbar intervertebral disc with different PG grades were compared,and the relations with PG grades were analyzed.Visual classification of lumbar intervertebral disc was performed based on water(CS)and CS(water)falsecolor map,while PG distribution of different visual classification were compared,and the relations with PG grades were observed.Results Totally 250 lumbar intervertebral discs were enrolled,including 22 of PG Ⅰ,49 of PG Ⅱ,83 of PG Ⅲ and 96 of PG Ⅳ.CT values,water(CS)and CS(water)concentration of anterior AF,NP and posterior AF of intervertebral disc with different PG grades were significantly different(all P＜0.001),and CT values were negatively correlated with PG grades(rs=-0.504,-0.399,-0.258,all P＜0.001),while water(CS)concentration was positively correlated(rs=0.476,0.753,0.324,all P＜0.001)but CS(water)concentration was negatively correlated with PG grades(rs=-0.486,-0.760,-0.329,all P＜0.001).Significant differences of PG grades were found among different water(CS)and CS(water)falsecolor images visual classification(all P＜0.001),while water(CS)and CS(water)falsecolor images visual classification were all positively correlated with PG grades(all rs≥0.700,all P＜0.001).Conclusion Energy spectrum CT based material imaging could be used for quantitatively and qualitatively evaluating lumbar intervertebral disc degeneration.
lumbar vertebraeintervertebral discretrograde degenerationspectral imagingbased material
万方数据
维普
