de Barros Pietro Paolo, Metello Luis F, Camozzato Tatiane Sabriela Cagol, Vieira Domingos Manuel da Silva
Radiology Technologist at Clínica Imagem Centro de Diagnóstico, Graduated at Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina (IFSC), Florianópolis, SC, Brazil.
Master, Nuclear Medicine Technologist, Professor at Escola Superior de Tecnologia em Saúde do Porto - Instituto Politécnico do Porto (ESTSP-IPP), Porto, Portugal.
Radiol Bras. 2015 Sep-Oct;48(5):305-13. doi: 10.1590/0100-3984.2014.0084.
The present study is aimed at contributing to identify the most appropriate OSEM parameters to generate myocardial perfusion imaging reconstructions with the best diagnostic quality, correlating them with patients' body mass index.
The present study included 28 adult patients submitted to myocardial perfusion imaging in a public hospital. The OSEM method was utilized in the images reconstruction with six different combinations of iterations and subsets numbers. The images were analyzed by nuclear cardiology specialists taking their diagnostic value into consideration and indicating the most appropriate images in terms of diagnostic quality.
An overall scoring analysis demonstrated that the combination of four iterations and four subsets has generated the most appropriate images in terms of diagnostic quality for all the classes of body mass index; however, the role played by the combination of six iterations and four subsets is highlighted in relation to the higher body mass index classes.
The use of optimized parameters seems to play a relevant role in the generation of images with better diagnostic quality, ensuring the diagnosis and consequential appropriate and effective treatment for the patient.
本研究旨在有助于确定最适合的有序子集最大期望值(OSEM)参数,以生成具有最佳诊断质量的心肌灌注成像重建,并将这些参数与患者的体重指数相关联。
本研究纳入了28例在公立医院接受心肌灌注成像的成年患者。在图像重建中采用OSEM方法,迭代次数和子集数有六种不同组合。核心脏病专家对图像进行分析,考虑其诊断价值,并指出诊断质量方面最合适的图像。
总体评分分析表明,对于所有体重指数类别,四次迭代和四个子集的组合在诊断质量方面生成了最合适的图像;然而,六次迭代和四个子集的组合在较高体重指数类别中所起的作用更为突出。
使用优化参数似乎在生成具有更好诊断质量的图像方面发挥着重要作用,确保对患者进行诊断并进而采取适当有效的治疗。