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肺部异常与PET数据分析:一项回顾性研究。

Pulmonary abnormalities and PET data analysis: a retrospective study.

作者信息

Lowe V J, Duhaylongsod F G, Patz E F, Delong D M, Hoffman J M, Wolfe W G, Coleman R E

机构信息

Division of Nuclear Medicine, PET Imaging Facility, St Louis University Health Sciences Center, Mo 63110-0250, USA.

出版信息

Radiology. 1997 Feb;202(2):435-9. doi: 10.1148/radiology.202.2.9015070.

Abstract

PURPOSE

To assess methods of standard uptake ratio (SUR) calculation with 2-deoxy-2-[fluorine-18]fluoro-D-glucose (FDG) positron emission tomography (PET) in indeterminate focal pulmonary abnormalities.

MATERIALS AND METHODS

One hundred ninety-seven adult patients with indeterminate pulmonary abnormalities had complete FDG PET data, consistent methods of data acquisition, and definitive diagnosis with tissue biopsy or negative 2-year follow-up findings. PET studies were evaluated by using SURs calculated with the average or maximum region-of-interest pixel value in the numerator and with weight, lean body mass, or body surface area in the denominator.

RESULTS

One hundred twenty malignant lesions and 77 benign processes were identified. Receiver operating characteristic (ROC) curve areas were statistically significantly larger with the average rather than the maximum pixel value in the calculation of the SUR for any of the three denominators (P < or = .05). SURs calculated with weight versus lean body mass versus body surface area in the denominator showed no statistically significant difference in ROC curve areas.

CONCLUSION

SURs determined by using average pixel values provide statistically significant improvement in ROC curve areas over those determined by using maximum pixel values. Weight, lean body mass, and body surface area in the denominator of the SUR calculation provide equivalent ROC curve areas and are therefore equivalent in accuracy in this population.

摘要

目的

评估在不明原因的局灶性肺部异常中,使用2-脱氧-2-[氟-18]氟-D-葡萄糖(FDG)正电子发射断层扫描(PET)计算标准摄取值(SUR)的方法。

材料与方法

197例患有不明原因肺部异常的成年患者拥有完整的FDG PET数据、一致的数据采集方法,并通过组织活检或2年的阴性随访结果得到明确诊断。PET研究通过使用SUR进行评估,SUR的计算方法为分子采用感兴趣区域的平均像素值或最大像素值,分母采用体重、瘦体重或体表面积。

结果

共识别出120个恶性病变和77个良性病变。对于三种分母中的任何一种,在计算SUR时,采用平均像素值而非最大像素值时,受试者操作特征(ROC)曲线面积在统计学上显著更大(P≤0.05)。分母采用体重、瘦体重或体表面积计算的SUR在ROC曲线面积上无统计学显著差异。

结论

与使用最大像素值确定的SUR相比,使用平均像素值确定的SUR在ROC曲线面积上有统计学显著改善。SUR计算分母中的体重、瘦体重和体表面积提供了等效的ROC曲线面积,因此在该人群中的准确性相当。

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