National Research Council (CNR)-Institute of Clinical Physiology (IFC), Via G. Moruzzi 1, 56124 Pisa, Italy.
Department of Medicine, University of Padua, Via Giustiniani 2, 35128 Padova, Italy.
Nutrients. 2022 Oct 13;14(20):4276. doi: 10.3390/nu14204276.
In CKD and in the elderly, Vascular Calcifications (VC) are associated to cardiovascular events and bone fractures. VC scores at the abdominal aorta (AA) from lateral spine radiographs are widely applied (the 0-24 semiquantitative discrete visual score (SV) being the most used). We hypothesised that a novel continuum score based on quantitative computer-assisted tracking of calcifications (QC score) can improve the precision of the SV score. This study tested the repeatability and reproducibility of QC score and SV score. In forty-four patients with VC from an earlier study, five experts from four specialties evaluated the data twice using a dedicated software. Test-retest was performed on eight subjects. QC results were reported in a 0-24 scale to readily compare with SV. The QC score showed higher intra-operator repeatability: the 95% CI of Bland-Altman differences was almost halved in QC; intra-operator R improved from 0.67 for SV to 0.79 for QC. Inter-observer repeatability was higher for QC score in the first (Intraclass Correlation Coefficient 0.78 vs. 0.64), but not in the second evaluation (0.84 vs. 0.82), indicating a possible heavier learning artefact for SV. The Minimum Detectable Difference (MDD) was smaller for QC (2.98 vs. 4 for SV, in the 0-24 range). Both scores were insensitive to test-retest procedure. Notably, QC and SV scores were discordant: SV showed generally higher values, and an increasing trend of differences with VC severity. In summary, the new QC score improved the precision of lateral spine radiograph scores in estimating VC. We reported for the first time an estimate of MDD in VC assessment that was 25% lower for the new QC score with respect to the usual SV score. An ongoing study will determine whether this lower MDD may reduce follow-up times to check for VC progression.
在慢性肾脏病和老年人中,血管钙化(VC)与心血管事件和骨折有关。从侧位脊柱 X 光片评估腹主动脉(AA)的 VC 评分(最常用的是 0-24 半定量离散视觉评分(SV))得到广泛应用。我们假设,基于钙化定量计算机辅助跟踪的新型连续评分(QC 评分)可以提高 SV 评分的准确性。本研究测试了 QC 评分和 SV 评分的重复性和再现性。在先前研究中,44 名 VC 患者,来自四个专业的五名专家使用专用软件进行了两次评估。对 8 名受试者进行了测试-再测试。QC 结果以 0-24 刻度报告,以便与 SV 进行直接比较。QC 评分显示出更高的操作者内重复性:QC 中 Bland-Altman 差异的 95%CI 几乎减半;QC 的操作者内 R 从 SV 的 0.67 提高到 0.79。QC 评分的观察者间重复性更高(第一次评价的组内相关系数为 0.78 与 0.64,而不是第二次评价的 0.84 与 0.82),这表明 SV 可能存在更重的学习偏倚。QC 的最小可检测差异(MDD)更小(0-24 范围内,2.98 与 4 相比)。两种评分对测试-再测试过程都不敏感。值得注意的是,QC 和 SV 评分不一致:SV 通常显示出更高的值,并且与 VC 严重程度的差异呈递增趋势。总之,新的 QC 评分提高了侧位脊柱 X 光片评分在估计 VC 方面的准确性。我们首次报道了 VC 评估中 MDD 的估计值,与通常的 SV 评分相比,新的 QC 评分降低了 25%。正在进行的研究将确定这种较低的 MDD 是否可以减少随访时间以检查 VC 的进展。