在阿尔茨海默病连续体中,淀粉样蛋白PET扫描的Centiloid量化和视觉解释之间的一致性。

Mohammad Khalafi, Seyed Hani Hojjati, Xiuyuan Hugh Wang, Liangdong Zhou, Anna Starikovsky Nordvig, Yi Li, Tracy A Butler, Qolamreza R Razlighi, Emily B Tanzi, Silky Pahlajani, Lidia Glodzik, Nancy S Foldi, Mony J de Leon, Gloria C Chiang
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引用次数: 0

摘要

背景和目的:准确识别大脑β -淀粉样蛋白(Aβ)积累对于诊断阿尔茨海默病(AD)和确定抗Aβ治疗的资格至关重要。Centiloid (CL) scale已经成为一种标准化的方法,用于协调不同示踪剂和部位的a β正电子发射断层扫描(PET)定量。我们的目的是评估认知受损(CI)和未受损(CU)接受a β PET治疗的参与者中CL量化和视觉解释之间的一致性。材料和方法:221名参与者(平均年龄69±12.3岁)被前瞻性纳入AD研究,并接受247次Aβ PET扫描,其中157人使用[11C]匹兹堡化合物B (PiB), 90人使用[18F]Florbetaben (FBB)。标准化摄取值比(SUVRs)按照全球阿尔茨海默病协会互动网络(GAAIN)指南转换为CL量表。采用一致性百分比和kappa统计来评估CL阈值与视觉判读在测定Aβ阳性方面的一致性。结果:整个队列的最高一致性率为93%,使用CL截断值为18 (kappa系数0.84)。使用FBB时,一致性率最高,下限为24(97%),而PiB的一致性率最高,下限为18,达到94%。Aβ PET阴性患者的一致性高于阳性患者,分别为98%和90%。CI参与者的一致性略高于CU参与者(96%对93%)。当通过视觉判读识别出Aβ阳性的病灶区域,但通过CL量化未达到全局阈值时,通常会出现不一致。结论:Aβ PET扫描的整体CL定量与视觉解释高度一致。结合这两种方法可以更全面地评估a β在大脑中的沉积程度。缩写:AD =阿尔茨海默病;β = β -淀粉样蛋白;正电子发射断层扫描;PiB =匹兹堡化合物B;FBB = Florbetaben;CL = Centiloid。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Concordance between Centiloid Quantification and Visual Interpretation of Amyloid PET Scans across the Alzheimer Disease Continuum.

Background and purpose: Accurate identification of cerebral β-amyloid (Aβ) accumulation is crucial for diagnosing Alzheimer disease (AD) and determining eligibility for anti-Aβ therapies. The Centiloid (CL) scale has emerged as a standardized method to harmonize Aβ PET quantification across different tracers and sites. We aimed to evaluate the concordance between CL quantification and visual interpretation in a cohort of cognitively impaired (CI) and unimpaired (CU) participants who underwent Aβ PET.

Materials and methods: Two hundred twenty-one participants (mean age 69 ± 12.3 years) were prospectively enrolled in AD studies and underwent 247 Aβ PET scans, including 157 with [11C]-Pittsburgh compound B (PiB) and 90 with [18F]-florbetaben (FBB). Standardized uptake value ratios (SUVRs) were converted to the CL scale following Global Alzheimer's Association Interactive Network guidelines. Percent agreement and κ statistics were used to evaluate the concordance between CL thresholds and visual interpretation in determining Aβ positivity.

Results: The highest concordance rate for the whole cohort was 93% by using a CL cutoff of 18 (κ coefficient 0.84). Using FBB, the concordance rate was highest by using a CL cutoff of 24 (97%), whereas the concordance rate for PiB peaked at 94% at a CL cutoff of 18. Concordance was higher in negative rather than positive Aβ PET cases, 98% versus 90%. Concordance was slightly higher in CI participants compared with CU (96% versus 93%). Disagreement commonly occurred when focal areas of Aβ positivity were identified on visual interpretation but did not meet the threshold globally by CL quantification.

Conclusions: Global CL quantification of Aβ PET scans is highly concordant with visual interpretation. Combining both methods may provide a more complete assessment of the extent of Aβ deposition in the brain.

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