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比较三种影像学技术测量散发性前庭神经鞘瘤的精确性和可靠性。

Comparing the Precision and Reliability Between Three Radiographic Techniques for Measuring Sporadic Vestibular Schwannomas.

机构信息

Department of Neuroradiology, Virginia Mason Medical Center, Seattle WA.

Listen for Life Center, Department of Otolaryngology-Head and Neck Surgery, Virginia Mason Medical Center, 1100 Ninth Avenue, Mailstop X10-ON, Seattle WA 98101; Department of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle WA.

出版信息

Acad Radiol. 2022 Jan;29(1):69-76. doi: 10.1016/j.acra.2020.09.022. Epub 2020 Nov 4.

Abstract

RATIONALE AND OBJECTIVES

Several methods exist for measuring vestibular schwannoma (VS) size radiographically. Our aim was to compare the precision and reproducibility of three different radiographic measurement techniques for assessing VS tumor size.

MATERIAL AND METHODS

Twenty patients with unilateral, sporadic VS previously untreated were identified. All patients had thin-slice T1 weighted, postcontrasted magnetization prepared rapid acquisition gradient echo images. Three measurement techniques were performed using within-subject and between-subject comparison. Experimental comparison of interobserver agreement between techniques was calculated. Interobserver intraclass correlation coefficients, repeatability coefficients, and relative smallest detectable difference were calculated and compared.

RESULTS

Mean tumor measurements were: 10.3 mm (maximum linear dimension, [MLD]), 495.9 mm (orthogonal volumetric analysis, [OVA]), and 572.1 mm (segmented volumetric analysis, [SVA]). Interobserver correlation coefficient was excellent for all measurement techniques, but highest for segmented volumetric analysis. Repeatability coefficient was 1.44 mm for MLD, 298.9 mm for OVA, and 174.8 mm for SVA. The smallest detectable difference was 13.9% for MLD, 60.2% for OVA, and 30.6% for SVA. A subgroup analysis was performed for small tumors (<14 mm) and large tumors (>14 mm) and demonstrated increased precision of segmented volumetric analysis for larger tumors.

CONCLUSION

Semi-automated segmented volumetric analysis appears more precise than either linear measurement or orthogonal volumetric analysis for reporting VS tumor size, and becomes increasingly precise for larger tumors. Tumor volume and tumor volume change over time using SVA may be more sensitive in surveilling VS than current measurement techniques.

摘要

背景与目的

有几种方法可用于对前庭神经鞘瘤(VS)进行影像学测量。本研究旨在比较三种不同的影像学测量技术评估 VS 肿瘤大小的精确性和可重复性。

材料与方法

本研究共纳入 20 例未经治疗的单侧、散发性 VS 患者。所有患者均行薄层 T1 加权、对比后磁化准备快速获取梯度回波成像。采用三种测量技术进行了受试者内和受试者间比较。计算了技术间观察者间一致性的实验比较。计算并比较了观察者间内类相关系数、重复性系数和相对最小可检测差异。

结果

平均肿瘤测量值分别为:10.3mm(最大线性尺寸,[MLD])、495.9mm(正交容积分析,[OVA])和 572.1mm(分割容积分析,[SVA])。所有测量技术的观察者间相关性系数均为优秀,但分割容积分析最高。重复性系数分别为 MLD 1.44mm、OVA 298.9mm 和 SVA 174.8mm。最小可检测差异分别为 MLD 13.9%、OVA 60.2%和 SVA 30.6%。对小肿瘤(<14mm)和大肿瘤(>14mm)进行了亚组分析,结果表明分割容积分析对于较大肿瘤的精确性更高。

结论

与线性测量或正交容积分析相比,半自动分割容积分析在报告 VS 肿瘤大小方面更精确,并且对于较大肿瘤的精确性逐渐提高。使用 SVA 测量肿瘤体积及其随时间的变化可能比目前的测量技术更能敏感监测 VS。

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