快速千伏峰值开关双能计算机断层水-羟基磷灰石分解检测椎体压缩性骨折相关骨髓水肿:与磁共振成像的比较。

IF 2.9 2区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Quantitative Imaging in Medicine and Surgery Pub Date : 2025-03-03 Epub Date: 2025-02-26 DOI:10.21037/qims-24-1576
Rong Yao, Xue'e Zhu, Dan Zhou, Li Yang, Hanxiao Yu, Rui Zhang, Tongbo Yu, Menghua Yang
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引用次数: 0

摘要

背景:据报道,与磁共振成像(MRI)相比,双能计算机断层扫描(DECT)材料分解技术在识别急性和慢性椎体压缩性骨折(vcf)方面是有效的。然而,DECT所描绘的骨髓水肿(BME)区域与MRI所描绘的一致性的定量评估尚未见报道。因此,本研究旨在定性和定量地评估快速千伏峰值(kVp)开关DECT水-羟基磷灰石(HAP)分解技术检测vcf患者创伤性BME的效果,并将其与MRI进行比较。方法:回顾性纳入195例连续3天内分别接受脊柱DECT和MRI检查的患者。所有椎体在水- hap图像上盲目评估创伤性BME的存在。在所有椎体中测量水浓度,在水肿椎体中测量BME的最大面积。一位经验丰富的放射科医生盲目地在流体敏感MR图像上评估BME的存在,作为参考,并计算出BME的最大面积。单因素方差分析和事后配对比较(Tamhane’s T2)结果:在急性vcf的视觉分析中,水- hap图像的总体敏感性为97.1%,特异性为99.7%,准确性为99.4%。水浓度在急性和慢性vcf之间以及急性vcf和正常椎体之间存在显著差异(P3在识别水肿椎体方面的敏感性为94.9%,特异性为90.3%)。Bland-Altman图显示,DECT和MRI测量的BME最大面积的平均差异几乎为零(P < 0.05),大多数差异的标准差在1.96以内。结论:快速kvp切换DECT水- hap分解技术对急性和慢性vcf有较好的诊断效果。DECT和MRI所描绘的BME区域高度相似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast kilovoltage peak-switching dual-energy computed tomography water-hydroxyapatite decomposition for detecting vertebral compression fracture-related bone marrow edema: a comparison with magnetic resonance imaging.

Background: Dual-energy computed tomography (DECT) material decomposition techniques have been reported to be effective for identifying acute and chronic vertebral compression fractures (VCFs) as compared with magnetic resonance imaging (MRI). However, a quantitative evaluation of the consistency of the bone marrow edema (BME) region depicted by DECT with that delineated by MRI has not been reported. This study thus aimed to qualitatively and quantitatively assess the fast kilovoltage peak (kVp)-switching DECT water-hydroxyapatite (HAP) decomposition technique in detecting traumatic BME in patients with VCFs and compare it to MRI.

Methods: A total of 195 consecutive patients who underwent both spinal DECT and MRI within 3 days from each other were retrospectively enrolled. All vertebral bodies were blindly evaluated for the presence of traumatic BME on water-HAP images. Water concentration was measured in all vertebral bodies, and the maximum area of BME was measured in the edematous ones. An experienced radiologist blindly evaluated the presence of BME on fluid-sensitive MR images, which served as the reference, and calculated the maximum area of BME. One-way analysis of variance with post hoc pairwise comparisons (Tamhane's T2 at P<0.05) was used to compare water concentrations among acute VCFs, chronic VCFs, and normal vertebrae. Receiver operating characteristic (ROC) curve analysis was conducted to predict acute VCFs. Bland-Altman analysis was performed to evaluate the consistency of the maximum area of BME measured on DECT and MRI.

Results: In the visual analysis of acute VCFs, water-HAP images had an overall sensitivity of 97.1%, a specificity of 99.7%, and an accuracy of 99.4%. Water concentration differed significantly between acute and chronic VCFs and between acute VCFs and normal vertebrae (P<0.001), but it did not differ significantly between chronic VCFs and normal vertebrae (P=0.998). ROC curve analysis yielded an area under the curve of 0.989, and the optimal threshold of 991.4 mg/cm3 yielded a 94.9% sensitivity and a 90.3% specificity in identifying edematous vertebral bodies. Bland-Altman plots indicated that all mean differences in the maximum area of BME measured on DECT and MRI were nearly zero (P>0.05), with most differences having a standard deviation within 1.96.

Conclusions: The fast kVp-switching DECT water-HAP decomposition technique had an excellent diagnostic performance in distinguishing acute VCFs from chronic ones. The depicted areas of BME on DECT and MRI were highly similar.

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来源期刊
Quantitative Imaging in Medicine and Surgery
Quantitative Imaging in Medicine and Surgery Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
4.20
自引率
17.90%
发文量
252
期刊介绍: Information not localized
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