Literature DB >> 27161072

Low-dose volume perfusion computed tomography (VPCT) for diagnosis of solitary pulmonary nodules.

Yibo Sun1, Minjie Yang2, Dingbiao Mao1, Fanzhen Lv2, Yulei Yin3, Ming Li1, Yanqing Hua4.   

Abstract

OBJECTIVE: To characterize solitary pulmonary nodules (SPN) in terms of perfusion parameters using low-dose volume perfusion computed tomography (VPCT) and two different calculation methods, compare their results, look for interobserver agreement of measurements and investigate the feasibility of low-dose VPCT.
MATERIALS AND METHODS: This study was approved by the local Institutional Review Board and all patients provided written informed consent. Seventy-one patients (mean age 60.8 years ±9.6) with solitary pulmonary nodules were enrolled. Low-dose VPCT was performed for 38.63s covering the involved lung (70kV, 120mAs, 22 consecutive volume measurements, 50mL iodinated contrast, flow rate 4mL/s). Mean blood flow (BF), blood volume (BV) and k-trans were determined both with the maximum slope+Patlak vs. deconvolution method. Additionally, the difference of VPCT parameters between different type lesions and normal tissue was analyzed. Interobserver agreement for all perfusion parameters was calculated using intraclass correlation coefficients (ICC). The effective radiation dose of the VPCT and the total CT scan protocol were recorded. All CT findings were histologically confirmed by surgical intervention.
RESULTS: The mean lesion size was 18.6mm. Interobserver agreement measure with ICC shows high agreement between the measurements (κ=0.85). The effective radiation dose of the VPCT was 9.3mSv. The mean perfusion values for BF, BV and k-trans of 120.6mL/100g tissue/', 11.6mL/100g tissue/', and 18.5mL/100g tissue/' for the deconvolution method, and 50.1mL/100g tissue/', 11.6mL/100g tissue/' and 24.3mL/100g tissue/' for the maximum slope+Patlak method, which were significantly higher than those of normal muscle (20.7mL/100g tissue/', 2.6mL/100g tissue/', and 7.6mL/100g tissue/' for the deconvolution method and 10.9mL/100g tissue/', 3.1mL/100g tissue/' and 8.1mL/100g tissue/' for the maximum slope method). The best overall correlation between calculation methods was achieved for measurements of BF.
CONCLUSION: The low-dose volume perfusion CT of the solitary pulmonary nodules can effectively reduce the radiation dose and non-invasively assess perfusion of SPN within the entire lesion volume.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Clinical practice; Computed tomography; Low dose; Perfusion; Radiation dose; Solitary pulmonary nodules

Mesh:

Substances:

Year:  2016        PMID: 27161072     DOI: 10.1016/j.ejrad.2016.03.026

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  3 in total

1.  Diagnostic Performance of Perfusion Computed Tomography for Differentiating Lung Cancer from Benign Lesions: A Meta-Analysis.

Authors:  Cuiqing Huang; Jianye Liang; Xueping Lei; Xi Xu; Zeyu Xiao; Liangping Luo
Journal:  Med Sci Monit       Date:  2019-05-11

2.  Comparison of Spectral and Perfusion Computed Tomography Imaging in the Differential Diagnosis of Peripheral Lung Cancer and Focal Organizing Pneumonia.

Authors:  Liangna Deng; Guojin Zhang; Xiaoqiang Lin; Tao Han; Bin Zhang; Mengyuan Jing; Junlin Zhou
Journal:  Front Oncol       Date:  2021-10-27       Impact factor: 6.244

3.  Evaluation of dual-energy and perfusion CT parameters for diagnosing solitary pulmonary nodules.

Authors:  Beilin Zhu; Shuo Zheng; Tao Jiang; Bin Hu
Journal:  Thorac Cancer       Date:  2021-08-18       Impact factor: 3.500

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.