Departments of Radiology and Orthopaedic Surgery, University of Pennsylvania, Philadelphia, PA, USA.
Department of Bioengineering, Temple University, 1947 N. 12th St, Philadelphia, PA, USA.
Bone. 2017 Oct;103:116-124. doi: 10.1016/j.bone.2017.06.015. Epub 2017 Jun 28.
Bone fracture risk increases with age, disease states, and with use of certain therapeutics, such as acid-suppressive drugs, steroids and high-dose bisphosphonates. Historically, investigations into factors that underlie bone fracture risk have focused on evaluation of bone mineral density (BMD). However, numerous studies have pointed to factors other than BMD that contribute to fragility, including changes in bone collagen and water. The goal of this study is to investigate the feasibility of using near infrared spectral imaging (NIRSI) to determine the spatial distribution and relative amount of water and organic components in whole cross-sections of bone, and to compare those results to those obtained using magnetic resonance imaging (MRI) methods. Cadaver human whole-section tibiae samples harvested from 18 donors of ages 27-97years underwent NIRSI and ultrashort echo time (UTE) MRI. As NIRSI data is comprised of broad absorbances, second derivative processing was evaluated as a means to narrow peaks and obtain compositional information. The (inverted) second derivative peak heights of the NIRSI absorbances correlated significantly with the mean peak integration of the water, collagen and fat NIR absorbances, respectively, indicating that either processing method could be used for compositional assessment. The 5797cm absorbance was validated as arising from the fat present in bone marrow, as it completely disappeared after ultrasonication. The MRI UTE-determined bound water content in tibial cortical bone samples ranged from 62 to 91%. The NIRSI water peaks at 5152cm and at 7008cm correlated significantly with the UTE data, with r=0.735, p=0.016, and r=0.71, p=0.0096, respectively. There was also a strong correlation between the intensity of the NIRSI water peak at 7008cm and the intensity of the collagen peak at 4608cm (r=0.69, p=0.004). Since NIRSI requires minimal to no sample preparation, this approach has great potential to become a gold standard modality for the investigation of changes in water content, distribution, and environment in pre-clinical studies of bone pathology and therapeutics.
骨骨折风险随着年龄的增长、疾病状态以及某些治疗药物的使用而增加,如酸抑制药物、类固醇和高剂量双膦酸盐。历史上,对导致骨折风险的因素的研究主要集中在评估骨密度(BMD)上。然而,许多研究指出,除了 BMD 之外,还有其他因素会导致脆弱性,包括骨胶原和水的变化。本研究的目的是探讨使用近红外光谱成像(NIRSI)来确定骨全横截面上水和有机成分的空间分布和相对含量的可行性,并将这些结果与磁共振成像(MRI)方法的结果进行比较。从 18 名年龄在 27-97 岁的供体中采集的人全节段胫骨样本进行了 NIRSI 和超短回波时间(UTE)MRI。由于 NIRSI 数据由宽吸收组成,因此评估了二阶导数处理作为缩小峰并获得组成信息的方法。NIRSI 吸收的(倒置)二阶导数峰高与水、胶原和脂肪 NIR 吸收的平均峰积分显著相关,表明这两种处理方法都可以用于组成评估。5797cm 处的吸收峰被验证为来自骨髓中的脂肪,因为在用超声处理后完全消失。胫骨皮质骨样本的 UTE 测定的结合水含量范围为 62-91%。NIRSI 的 5152cm 和 7008cm 处的水峰与 UTE 数据显著相关,r=0.735,p=0.016,r=0.71,p=0.0096。NIRSI 的 7008cm 处的水峰强度与 4608cm 处的胶原峰强度之间也存在很强的相关性(r=0.69,p=0.004)。由于 NIRSI 只需要很少或不需要样品制备,因此这种方法很有潜力成为骨病理学和治疗学临床前研究中研究水含量、分布和环境变化的黄金标准模式。