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动态成像,使用 F-FDG PET/CT 和 CT 灌注能否区分良恶性肺结节?

Can dynamic imaging, using F-FDG PET/CT and CT perfusion differentiate between benign and malignant pulmonary nodules?

机构信息

Edinburgh Imaging facility Queens Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom.

Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.

出版信息

Radiol Oncol. 2021 May 31;55(3):259-267. doi: 10.2478/raon-2021-0024.

Abstract

BACKGROUND

The aim of the study was to derive and compare metabolic parameters relating to benign and malignant pulmonary nodules using dynamic 2-deoxy-2-[fluorine-18]fluoro-D-glucose (F-FDG) PET/CT, and nodule perfusion parameters derived through perfusion computed tomography (CT).

PATIENTS AND METHODS

Twenty patients with 21 pulmonary nodules incidentally detected on CT underwent a dynamic F-FDG PET/CT and a perfusion CT. The maximum standardized uptake value (SUV) was measured on conventional F-FDG PET/CT images. The influx constant ( ) was calculated from the dynamic F-FDG PET/CT data using Patlak model. Arterial flow (AF) using the maximum slope model and blood volume (BV) using the Patlak plot method for each nodule were calculated from the perfusion CT data. All nodules were characterized as malignant or benign based on histopathology or 2 year follow up CT. All parameters were statistically compared between the two groups using the nonparametric Mann-Whitney test.

RESULTS

Twelve malignant and 9 benign lung nodules were analysed (median size 20.1 mm, 9-29 mm) in 21 patients (male/female = 11/9; mean age ± SD: 65.3 ± 7.4; age range: 50-76 years). The average SUV values ± SD of the benign and malignant nodules were 2.2 ± 1.7 . 7.0 ± 4.5, respectively (p = 0.0148). Average values in benign and malignant nodules were 0.0057 ± 0.0071 and 0.0230 ± 0.0155 min, respectively (p = 0.0311). Average BV for the benign and malignant nodules were 11.6857 ± 6.7347 and 28.3400 ± 15.9672 ml/100 ml, respectively (p = 0.0250). Average AF for the benign and malignant nodules were 74.4571 ± 89.0321 and 89.200 ± 49.8883 ml/100g/min, respectively (p = 0.1613).

CONCLUSIONS

Dynamic F-FDG PET/CT and perfusion CT derived blood volume had similar capability to differentiate benign from malignant lung nodules.

摘要

背景

本研究旨在通过动态 2-脱氧-2-[氟-18]氟代-D-葡萄糖(F-FDG)PET/CT 和灌注 CT 来推导出与良、恶性肺结节相关的代谢参数,并对结节灌注参数进行分析。

患者和方法

21 例偶然在 CT 上发现的肺结节患者接受了动态 F-FDG PET/CT 和灌注 CT 检查。常规 F-FDG PET/CT 图像上测量最大标准化摄取值(SUV)。采用 Patlak 模型从动态 F-FDG PET/CT 数据中计算出流入常数()。从灌注 CT 数据中采用最大斜率模型计算出动脉流量(AF),采用 Patlak 绘图法计算出血容量(BV)。所有结节均根据组织病理学或 2 年 CT 随访结果进行良、恶性特征分析。采用非参数 Mann-Whitney 检验对两组间所有参数进行统计学比较。

结果

21 例患者共分析了 12 个恶性和 9 个良性肺结节(中位大小 20.1mm,9-29mm)(男/女=11/9;平均年龄±标准差:65.3±7.4;年龄范围:50-76 岁)。良性和恶性结节的平均 SUV 值±标准差分别为 2.2±1.7和 7.0±4.5(p=0.0148)。良性和恶性结节的平均 值分别为 0.0057±0.0071 和 0.0230±0.0155 min(p=0.0311)。良性和恶性结节的平均 BV 值分别为 11.6857±6.7347 和 28.3400±15.9672 ml/100 ml(p=0.0250)。良性和恶性结节的平均 AF 值分别为 74.4571±89.0321 和 89.200±49.8883 ml/100g/min(p=0.1613)。

结论

动态 F-FDG PET/CT 和灌注 CT 衍生的血容量在区分良、恶性肺结节方面具有相似的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b8e/8366734/1736b5a4f5de/raon-55-259-g001.jpg

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