Comparison of Micro-Computed Tomography and Clinical Computed Tomography Protocols for Visualization of Nasal Cartilage Before Surgical Planning for Rhinoplasty.

Q1 Medicine
Rajeev C Saxena, Seth Friedman, Randall A Bly, Jeffrey Otjen, Adam M Alessio, Yangming Li, Blake Hannaford, Mark Whipple, Kris S Moe
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引用次数: 14

Abstract

Importance: There is no imaging standard to model nasal cartilage for the planning of rhinoplasty procedures. Preoperative visualization of cartilage may improve objective evaluation of nasal deformities, surgical planning, and surgical reconstruction.

Objectives: To evaluate the feasibility of visualizing nasal cartilage using high resolution micro-computed tomography (CT) compared with the criterion standard of pathologic findings in a cadaveric specimen and to evaluate its accuracy compared with various clinical CT protocols.

Design, setting, and participants: Anatomic study at the University of Washington using single human cadaveric nasal specimens performed from July 10, 2017, to March 30, 2018.

Interventions: A micro-CT acquisition with 60-micron resolution was obtained of a nasal specimen. The specimen was then scanned with 5 different clinical CT protocols to span both clinical care and machine limits. The specimen was then sectioned in 5-mm axial slices for pathologic analysis.

Main outcomes and measures: Micro-CT images were registered to pathologic specimen cross-sections using a graphite fiducial system. Cartilage substructures were manually segmented and analyzed. A library of matched images across the micro-CT and various clinical CT protocols was then developed. Region of interest analysis was performed for each of the cartilage structures and their boundaries on clinical CT protocols and micro-CT, with the outcome of mean (SD) density using Hounsfield units.

Results: A single human cadaveric nasal specimen was used to obtain the following results. Lower lateral cartilage, upper lateral cartilage, and septal cartilage were accurately delineated on the micro-CT images compared with pathologic findings. The mean absolute deviation from pathologic findings was 0.30 mm for septal cartilage thickness, 0.98 mm for maximal upper lateral cartilage length, and 1.40 mm for maximal lower lateral cartilage length. On clinical CT protocols, only septal cartilage was well discriminated from boundary. Higher radiation dose resulted in more accurate density measurements of cartilage, but it did not ultimately improve ability to discriminate cartilage.

Conclusions and relevance: The results of this anatomic study may represent a notable step toward advancing knowledge of the capabilities and pitfalls of nasal cartilage visualization on CT. Nasal cartilage visualization was feasible on the micro-CT compared with pathologic findings. Future research may further examine the barriers to accurately visualizing upper lateral cartilage and lower lateral cartilage, a prerequisite for clinical application.

Level of evidence: NA.

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鼻成形术计划前鼻软骨可视化的显微计算机断层扫描与临床计算机断层扫描的比较。
重要性:没有影像学标准来模拟鼻软骨来规划鼻整形手术。术前软骨可视化可以改善鼻畸形的客观评估、手术计划和手术重建。目的:评价高分辨率显微计算机断层扫描(CT)在鼻软骨成像中的可行性,并将其与尸体标本病理表现的标准进行比较,评价其与各种临床CT方案的准确性。设计、环境和参与者:华盛顿大学的解剖学研究使用了2017年7月10日至2018年3月30日进行的单个人类尸体鼻腔标本。干预措施:获得60微米分辨率的鼻腔标本显微ct采集。然后用5种不同的临床CT方案扫描标本,以跨越临床护理和机器限制。然后将标本切成5毫米轴向切片进行病理分析。主要结果和措施:使用石墨基准系统将显微ct图像注册到病理标本的横截面上。人工对软骨亚结构进行分割和分析。然后开发了微型CT和各种临床CT协议的匹配图像库。在临床CT和微型CT上对每个软骨结构及其边界进行感兴趣区域分析,并使用Hounsfield单位计算平均(SD)密度。结果:用单个人尸体鼻标本得到以下结果。下外侧软骨、上外侧软骨和中隔软骨在显微ct图像上与病理表现比较准确。中隔软骨厚度与病理结果的平均绝对偏差为0.30 mm,最大上外侧软骨长度为0.98 mm,最大下外侧软骨长度为1.40 mm。在临床CT上,仅隔软骨与边界区分较好。较高的辐射剂量导致更精确的软骨密度测量,但它并没有最终提高区分软骨的能力。结论和相关性:本解剖研究的结果可能代表了一个显著的一步,以提高知识的能力和陷阱的鼻软骨在CT上的可视化。鼻软骨在微ct上的显示与病理表现相比是可行的。未来的研究可能会进一步研究准确显示上外侧软骨和下外侧软骨的障碍,这是临床应用的先决条件。证据等级:NA。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.10
自引率
0.00%
发文量
0
期刊介绍: Facial Plastic Surgery & Aesthetic Medicine (Formerly, JAMA Facial Plastic Surgery) is a multispecialty journal with a key mission to provide physicians and providers with the most accurate and innovative information in the discipline of facial plastic (reconstructive and cosmetic) interventions.
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