Non-destructive NIR spectral imaging assessment of bone water: Comparison to MRI measurements.

Non-destructive NIR spectral imaging assessment of bone water: Comparison to MRI measurements.
复制标题

骨水的非破坏性NIR光谱成像评估:与MRI测量值进行比较。

DOI:
10.1016/j.bone.2017.06.015
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发表时间:
2017-10
期刊:
影响因子:
4.1
通讯作者:
Pleshko N
Pleshko N
中科院分区:
医学2区
文献类型:
--
作者:
Rajapakse CS;Padalkar MV;Yang HJ;Ispiryan M;Pleshko N

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骨折风险随着年龄、疾病状态以及某些治疗药物的使用而增加,如抑酸药物、类固醇和大剂量双磷酸盐。从历史上看,对骨折风险因素的研究主要集中在骨密度(BMD)的评估上。然而,许多研究指出,除了BMD之外,还有其他因素会导致骨骼脆弱,包括骨胶原和水分的变化。本研究的目的是探讨利用近红外光谱成像(NIRSI)技术测定骨骼全横截面中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)方法得到的结果进行比较。对18例年龄27~97岁的成人身体胫骨标本进行NIRSI和超短回波时间(UTE)磁共振成像。由于NIRSI数据包含较宽的吸光度,二阶导数处理被认为是一种窄化峰和获得成分信息的方法。NIRSI吸光度的(倒置)二阶导数峰高分别与水、胶原和脂肪的NIR吸光度的平均峰积分显著相关,表明这两种处理方法都可以用于成分评价。5797厘米−-1的吸光度被证实是由骨髓中存在的脂肪引起的,因为它在超声波处理后完全消失。MRI UTE测定的胫骨皮质骨结合水含量在62%至91%之间。NIRSI水峰5152 cm−1和7008 cm−1与UTE数据显著相关,相关系数分别为r=0.735,p=0.016和r=0.71,p=0.0096。7008 cm−-1处的NIRSI水峰强度与4608 cm−-1处的胶原峰强度之间也有很强的相关性(r=0.69,p=0.004)。由于NIRSI需要最少甚至不需要样品制备,该方法具有很大的潜力成为在骨病理和治疗的临床前研究中调查水分含量、分布和环境变化的黄金标准方法。
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 27–97 years 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 5797 cm−1 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 5152 cm−1 and at 7008 cm−1 correlated significantly with the UTE data, with r = 0.735, p = 0.016, and r = 0.71, p =.0096, respectively. There was also a strong correlation between the intensity of the NIRSI water peak at 7008 cm−1 and the intensity of the collagen peak at 4608 cm−1 (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.
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