通过 CTA 量化主动脉瓣纤维化和钙化组织:与组织学的前瞻性比较

IF 12.1 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Radiology Pub Date : 2024-08-01 DOI:10.1148/radiol.240229
Kajetan Grodecki, Anna Olasińska-Wiśniewska, Agata Cyran, Tomasz Urbanowicz, Jacek Kwieciński, Jolien Geers, Balaji K Tamarappoo, Bartłomiej Perek, Radosław Gocoł, Joanna Nawara-Skipirzepa, Marek Jemielity, Janusz Kochman, Wojciech Wojakowski, Barbara Górnicka, Piotr J Slomka, Hasan Jilaihawi, Raj R Makkar, Zenon Huczek, Damini Dey
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Materials and Methods This prospective study included patients who underwent CTA before either surgical aortic valve replacement for AS or orthotopic heart transplant (controls) at two centers between January 2022 and April 2023. At CTA, fibrotic and calcific tissue composition were quantified using automated Gaussian mixture modeling applied to the density of aortic valve tissue components, calculated as [(volume/total tissue volume) × 100]. For histologic evaluation, explanted valve cusps were stained with Movat pentachrome as well as hematoxylin and eosin. For each cusp, three 5-µm slices were obtained. Fibrotic and calcific tissue composition were quantified using a validated artificial intelligence tool and averaged across the aortic valve. Correlations were assessed using the Spearman rank correlation coefficient. Intermodality and interobserver variability were measured using the intraclass correlation coefficient (ICC) and Bland-Altman plots. Results Twenty-nine participants (mean age, 63 years ± 10 [SD]; 23 male) were evaluated: 19 with severe AS, five with moderate AS, and five controls. Fibrocalcific tissue composition strongly correlated with histologic findings (<i>r</i> = 0.92; <i>P</i> < .001). The agreement between CTA and histologic findings for fibrocalcific tissue quantification was excellent (ICC, 0.94; <i>P</i> = .001), with underestimation of fibrotic composition at CTA (bias, -4.9%; 95% limits of agreement [LoA]: -18.5%, 8.7%). Finally, there was excellent interobserver repeatability for fibrotic (ICC, 0.99) and calcific (ICC, 0.99) aortic valve tissue volume measurements, with no evidence of a difference in measurements between readers (bias, -0.04 cm<sup>3</sup> [95% LoA: -0.27 cm<sup>3</sup>, 0.19 cm<sup>3</sup>] and 0.02 cm<sup>3</sup> [95% LoA: -0.14 cm<sup>3</sup>, 0.19 cm<sup>3</sup>], respectively). 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引用次数: 0

摘要

背景 在 CT 血管造影(CTA)中量化主动脉瓣的纤维化和钙化成分有助于评估主动脉瓣狭窄(AS)患者的疾病严重程度和预后;然而,该方法尚未与定量组织学检查结果进行对比验证。目的 比较 CTA 与组织学检查对主动脉瓣纤维化和钙化组织成分的定量分析。材料和方法 这项前瞻性研究纳入了 2022 年 1 月至 2023 年 4 月期间在两个中心接受 CTA 检查的主动脉瓣置换术患者或正位心脏移植患者(对照组)。在CTA检查中,使用自动高斯混合建模对主动脉瓣组织成分的密度进行量化,计算公式为[(体积/组织总体积)×100]。为了进行组织学评估,用 Movat 五色染色法以及苏木精和伊红对取出的瓣尖进行染色。每个瓣尖取三张 5 微米的切片。使用经过验证的人工智能工具对纤维化和钙化组织成分进行量化,并对整个主动脉瓣进行平均。相关性采用斯皮尔曼秩相关系数进行评估。使用类内相关系数(ICC)和布兰-阿尔特曼图测量模式间性和观察者间变异性。结果 对 29 名参与者(平均年龄为 63 岁 ± 10 [SD];23 名男性)进行了评估:19名重度强直性脊柱炎患者、5名中度强直性脊柱炎患者和5名对照组患者。纤维钙化组织成分与组织学结果密切相关(r = 0.92;P < .001)。CTA和组织学检查结果在纤维钙化组织定量方面的一致性非常好(ICC,0.94;P = .001),CTA低估了纤维化成分(偏差为-4.9%;95%的一致性[LoA]:-18.5%,8.7%)。最后,纤维化(ICC,0.99)和钙化(ICC,0.99)主动脉瓣组织容积测量的观察者间重复性极佳,没有证据表明不同观察者的测量结果存在差异(偏差分别为-0.04 cm3 [95% LoA: -0.27 cm3, 0.19 cm3] 和 0.02 cm3 [95% LoA: -0.14 cm3, 0.19 cm3])。结论 在直接比较中,CTA 的标准化定量主动脉瓣组织特征描述与组织学结果显示出极好的一致性,并显示出观察者之间的可重复性。临床试验注册号NCT06136689 采用 CC BY 4.0 许可发布。本文有补充材料。另请参阅本期阿尔梅达的社论。
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Quantification of Aortic Valve Fibrotic and Calcific Tissue from CTA: Prospective Comparison with Histology.

Background Quantifying the fibrotic and calcific composition of the aortic valve at CT angiography (CTA) can be useful for assessing disease severity and outcomes of patients with aortic stenosis (AS); however, it has not yet been validated against quantitative histologic findings. Purpose To compare quantification of aortic valve fibrotic and calcific tissue composition at CTA versus histologic examination. Materials and Methods This prospective study included patients who underwent CTA before either surgical aortic valve replacement for AS or orthotopic heart transplant (controls) at two centers between January 2022 and April 2023. At CTA, fibrotic and calcific tissue composition were quantified using automated Gaussian mixture modeling applied to the density of aortic valve tissue components, calculated as [(volume/total tissue volume) × 100]. For histologic evaluation, explanted valve cusps were stained with Movat pentachrome as well as hematoxylin and eosin. For each cusp, three 5-µm slices were obtained. Fibrotic and calcific tissue composition were quantified using a validated artificial intelligence tool and averaged across the aortic valve. Correlations were assessed using the Spearman rank correlation coefficient. Intermodality and interobserver variability were measured using the intraclass correlation coefficient (ICC) and Bland-Altman plots. Results Twenty-nine participants (mean age, 63 years ± 10 [SD]; 23 male) were evaluated: 19 with severe AS, five with moderate AS, and five controls. Fibrocalcific tissue composition strongly correlated with histologic findings (r = 0.92; P < .001). The agreement between CTA and histologic findings for fibrocalcific tissue quantification was excellent (ICC, 0.94; P = .001), with underestimation of fibrotic composition at CTA (bias, -4.9%; 95% limits of agreement [LoA]: -18.5%, 8.7%). Finally, there was excellent interobserver repeatability for fibrotic (ICC, 0.99) and calcific (ICC, 0.99) aortic valve tissue volume measurements, with no evidence of a difference in measurements between readers (bias, -0.04 cm3 [95% LoA: -0.27 cm3, 0.19 cm3] and 0.02 cm3 [95% LoA: -0.14 cm3, 0.19 cm3], respectively). Conclusion In a direct comparison, standardized quantitative aortic valve tissue characterization at CTA showed excellent concordance with histologic findings and demonstrated interobserver reproducibility. Clinical trial registration no. NCT06136689 Published under a CC BY 4.0 license. Supplemental material is available for this article. See also the editorial by Almeida in this issue.

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来源期刊
Radiology
Radiology 医学-核医学
CiteScore
35.20
自引率
3.00%
发文量
596
审稿时长
3.6 months
期刊介绍: Published regularly since 1923 by the Radiological Society of North America (RSNA), Radiology has long been recognized as the authoritative reference for the most current, clinically relevant and highest quality research in the field of radiology. Each month the journal publishes approximately 240 pages of peer-reviewed original research, authoritative reviews, well-balanced commentary on significant articles, and expert opinion on new techniques and technologies. Radiology publishes cutting edge and impactful imaging research articles in radiology and medical imaging in order to help improve human health.
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