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三特斯拉磁共振成像检测Ⅰ型原发性高草酸尿症患者的草酸钙骨病。

Three Tesla magnetic resonance imaging detects oxalate osteopathy in patients with primary hyperoxaluria type I.

机构信息

Department of Pediatrics, Division of Pediatric Nephrology, University Hospital Bonn, Bonn, Germany.

Department of Diagnostic and Interventional Radiology, Bonn, Germany.

出版信息

Pediatr Nephrol. 2023 Jul;38(7):2083-2092. doi: 10.1007/s00467-022-05836-3. Epub 2022 Dec 6.

Abstract

BACKGROUND

With declining kidney function and therefore increasing plasma oxalate, patients with primary hyperoxaluria type I (PHI) are at risk to systemically deposit calcium-oxalate crystals. This systemic oxalosis may occur even at early stages of chronic kidney failure (CKD) but is difficult to detect with non-invasive imaging procedures.

METHODS

We tested if magnetic resonance imaging (MRI) is sensitive to detect oxalate deposition in bone. A 3 Tesla MRI of the left knee/tibial metaphysis was performed in 46 patients with PHI and in 12 healthy controls. In addition to the investigator's interpretation, signal intensities (SI) within a region of interest (ROI, transverse images below the level of the physis in the proximal tibial metaphysis) were measured pixelwise, and statistical parameters of their distribution were calculated. In addition, 52 parameters of texture analysis were evaluated. Plasma oxalate and CKD status were correlated to MRI findings. MRI was then implemented in routine practice.

RESULTS

Independent interpretation by investigators was consistent in most cases and clearly differentiated patients from controls. Statistically significant differences were seen between patients and controls (p < 0.05). No correlation/relation between the MRI parameters and CKD stages or Pox levels was found. However, MR imaging of oxalate osteopathy revealed changes attributed to clinical status which differed clearly to that in secondary hyperparathyroidism.

CONCLUSIONS

MRI is able to visually detect (early) oxalate osteopathy in PHI. It can be used for its monitoring and is distinguished from renal osteodystrophy. In the future, machine learning algorithms may aid in the objective assessment of oxalate deposition in bone. Graphical Abstract A higher resolution version of the Graphical abstract is available as Supplementary information.

摘要

背景

随着肾功能下降和血浆草酸盐增加,I 型原发性高草酸尿症(PHI)患者有全身沉积钙草酸钙晶体的风险。这种全身性草酸中毒甚至可能在慢性肾衰竭(CKD)的早期阶段发生,但难以通过非侵入性成像程序检测到。

方法

我们测试了磁共振成像(MRI)是否能敏感地检测到骨中的草酸沉积。对 46 名 PHI 患者和 12 名健康对照者的左膝/胫骨干骺端进行了 3T MRI。除了研究者的解释外,还在 ROI(胫骨干骺端下骺板水平的横断图像)内测量了感兴趣区域(ROI)内的信号强度(SI),并计算了其分布的统计参数。此外,还评估了 52 个纹理分析参数。将血浆草酸盐和 CKD 状态与 MRI 结果相关联。然后在常规实践中实施 MRI。

结果

调查员的独立解释在大多数情况下是一致的,并且可以清楚地区分患者和对照组。患者和对照组之间存在统计学上的显著差异(p<0.05)。未发现 MRI 参数与 CKD 分期或 Pox 水平之间存在相关性。然而,草酸钙骨病的磁共振成像显示出与临床状态相关的变化,与继发性甲状旁腺功能亢进引起的变化明显不同。

结论

MRI 能够直观地检测(早期)PHI 中的草酸钙骨病。它可用于监测,并与肾性骨营养不良区分开来。将来,机器学习算法可能有助于客观评估骨中的草酸沉积。

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