Quantification of cortical bone loss and repair for therapeutic evaluation in collagen-induced arthritis, by micro-computed tomography and automated image analysis

Quantification of cortical bone loss and repair for therapeutic evaluation in collagen-induced arthritis, by micro-computed tomography and automated image analysis
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DOI:
10.1002/art.20557
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发表时间:
2004-10-01
影响因子:
--
通讯作者:
Carano, RAD
Carano, RAD
中科院分区:
其他
文献类型:
--
作者:
Barck, KH;Lee, WP;Carano, RAD

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目的:在胶原诱导性关节炎的小鼠模型中,利用体外和体内微型计算机断层扫描(微CT)结合一种新型图像分析算法来量化皮质骨丢失和骨膜新骨形成,以进行治疗评估。 方法:创建了一种自动算法,用于在小鼠爪子的三维微CT图像中定位5个跖趾关节和3个掌指关节,以评估关节附近的关节皮质骨体积(JCBV)以及爪子内的皮质骨矿物质密度和骨膜新骨形成。为了验证,在4个治疗组(每组n = 9)中将JCBV的自动评估与放射学视觉评分(RVS)进行比较:大鼠抗小鼠CD11a单克隆抗体、甲氨蝶呤(MTX)、抗CD11a加MTX以及仅用生理盐水。在另一项研究中,对2个治疗组的后肢系列图像进行评估:鼠肿瘤坏死因子受体II - Fc融合蛋白(mTNF - RII;n = 10)和对照抗体(n = 7)。 结果:JCBV的自动评估与RVS显著相关(后爪R = -0.94,前爪R = -0.81,综合R = -0.87)。抗CD11a组与对照组相比,JCBV显著更高。在系列研究中,与对照组相比,JCBV的自动评估检测到mTNFRII - Fc组有显著的治疗效果。所有治疗组的皮质骨矿物质密度与对照组相比均显著更高。 结论:微CT结合一种新型图像分析技术(JCBV评估)为量化类风湿性关节炎小鼠模型中的骨破坏提供了一种全自动的方法。
Objective. Ex vivo and in vivo micro-computed tomography (micro-CT) combined with a novel image analysis algorithm were used to quantify cortical bone loss and periosteal new bone formation for therapeutic evaluation in a murine model of collagen-induced arthritis.Methods. An automated algorithm was created to locate 5 metatarsophalangeal and 3 metacarpophalangeal joints in 3-dimensional micro-CT images of mouse paws for evaluation of joint cortical bone volume (JCBV) within close proximity of the joints as well as cortical bone mineral density and periosteal new bone formation within the paws. For validation, automated estimates of JCBV were compared with radiographic visual scores (RVS) in 4 treatment groups (n = 9 per group): rat anti-mouse CD11a monoclonal antibody, methotrexate (MTX), anti-CD11a plus MTX, and saline only. In a separate study, serial images of hind limbs were evaluated in 2 treatment groups: murine tumor necrosis factor receptor II-Fc fusion protein (mTNF-RII; n = 10) and control antibody (n = 7).Results. Automated estimates of the JCBV were significantly correlated with the RVS (hind paws R = -0.94, front paws R = -0.81, combined R = -0.87). The anti-CD11a group had significantly higher JCBV compared with controls. In the serial study, the automated estimate of JCBV detected significant treatment effects in the mTNFRII-Fc group compared with controls. Cortical bone mineral density was significantly higher in all treatment groups compared with controls.Conclusion. Micro-CT combined with a novel image analysis technique (estimation of JCBV) provides a fully automated means to quantify bone destruction in a mouse model of rheumatoid arthritis.