Optimization of the differentiation and quantification of high-Z nanoparticles incorporated in medical devices for CT-guided interventions.

Optimization of the differentiation and quantification of high-Z nanoparticles incorporated in medical devices for CT-guided interventions.
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DOI:
10.1002/mp.14601
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发表时间:
2021-01
期刊:
影响因子:
3.8
通讯作者:
Melancon MP
Melancon MP
中科院分区:
医学3区
文献类型:
--
作者:
Perez JVD;Jacobsen MC;Damasco JA;Melancon A;Huang SY;Layman RR;Melancon MP

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双能CT (DECT)已使材料鉴别成为可能,其中材料独特的能量依赖衰减特性可以提供新的诊断信息。一个有前景的应用是生物可降解聚合物的临床整合,作为浸透高原子序数(高z)材料的临时植入式医疗器械。本研究的目的是探讨在生物可吸收的下腔静脉过滤器中加入高原子序数(高z)造影剂,用于基于高级计算机断层扫描(CT)的监测其位置并与周围材料区分。成像优化和校准研究使用体模进行。通过对高低能CT数的线性回归,得到了双源CT中80/150Sn、90/150Sn和100/150Sn kVp的峰值千伏组合下,铁、锆、钡、钆、钇、钽、钨、金和铋的双能CT (DECT)比。根据标称物质浓度对物质图进行二次校准,以校正碘以外的物质的使用。基于附加过滤(150Sn kVp)的单能CT (SECT),将CT数校准为物质浓度。将这些定量方法应用于监测生物可降解的下腔静脉过滤器(IVCFs)的植入,该过滤器由编织型聚(对二氧环酮)缝合线制成,注入超小铋纳米颗粒(BiNPs)。高z (bbb73)造影剂在DECT中的定性鉴别效果最佳。然而,随着材料k边的增加,量化变得非线性和不准确。使用高能(150Sn kVp)数据分量作为SECT扫描,定量曲线保持线性,检测限低于DECT。在测试的材料中,铋在DECT中与碘有最佳的区分,同时在高能SECT中保持更高的对比度以进行定量(误差为11.5%)。与未涂覆IVCF(最大CT数127 HU)相比,用BiNPs涂覆IVCF的放射线不透明度明显提高(最大CT数2028 HU)。通过dct成像和处理,BiNP-IVCF可以与注射到猪下腔静脉的碘造影剂清晰区分。这些发现可能会促进高z材料医疗器械在临床上的广泛整合,在临床上,技术成功、可能的并发症和器械完整性可以通过DECT成像在术中和术后进行评估。
Material differentiation has been made possible using dual-energy CT (DECT), in which the unique, energy-dependent attenuating characteristics of materials can provide new diagnostic information. One promising application is the clinical integration of biodegradable polymers as temporary implantable medical devices impregnated with high-atomic number (high-Z) materials. The purpose of this study was to explore the incorporation of high-atomic-number (high-Z) contrast materials in a bioresorbable inferior vena cava filter for advanced computed tomography (CT)-based monitoring of its location and differentiating from surrounding materials. Imaging optimization and calibration studies were performed using a body phantom. The dual-energy CT (DECT) ratios for iron, zirconium, barium, gadolinium, ytterbium, tantalum, tungsten, gold, and bismuth were generated for peak kilovoltage combinations of 80/150Sn, 90/150Sn, and 100/150Sn kVp in dual-source CT via linear regression of the CT numbers at low and high energies. A secondary calibration of the material map to the nominal material concentration was generated to correct for use of materials other than iodine. CT number was calibrated to the material concentration based on single-energy CT (SECT) with additional filtration (150Sn kVp). These quantification methods were applied to monitoring of biodegradable inferior vena cava filters (IVCFs) made of braided poly(p-dioxanone) sutures infused with ultrasmall bismuth nanoparticles (BiNPs) implanted in an adult domestic pig. Qualitative material differentiation was optimal for high-Z (>73) contrast agents in DECT. However, quantification became nonlinear and inaccurate as the K-edge of the material increased. Using the high-energy (150Sn kVp) data component as a SECT scan, the linearity of quantification curves was maintained with lower limits of detection than with DECT. Among the materials tested, bismuth had optimal differentiation from iodine in DECT while maintaining increased contrast in high-energy SECT for quantification (11.5% error). Coating the IVCF with BiNPs resulted in markedly greater radiopacity (maximum CT number, 2028 HU) than that of an uncoated IVCF (maximum CT number, 127 HU). Using DECT imaging and processing, the BiNP-IVCF could be clearly differentiated from iodine contrast injected into the inferior vena cava of the pig. These findings may improve widespread integration of medical devices incorporated with high-Z materials into the clinic, where technical success, possible complications, and device integrity can be assessed intraoperatively and postoperatively via DECT imaging.
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