Correlation of (18)F-fluorodeoxyglucose positron emission tomography/computed tomography related parameters with the degree of proliferation in lung adenocarcinoma

(18)F-氟代脱氧葡萄糖正电子发射断层扫描/计算机断层扫描相关参数与肺腺癌增殖程度的相关性

阅读:4

Abstract

The objective of this study was to evaluate the correlation between positron emission tomography/computed tomography (PET/CT) parameters and the degree of proliferation of lung adenocarcinoma. A retrospective analysis was conducted on 50 patients who had undergone surgical treatment for lung adenocarcinoma and had been subsequently diagnosed pathologically. The general clinical characteristics of the subjects were documented, and the presurgical 2-deoxy-2-fluorine-18-fluoro-D-glucose (18)F-FDG) PET/CT-related parameters were quantified or calculated, including age, gender, maximum standardised uptake value (SUVmax), mean standard(ised uptake value (SUVmean), total lesion glycolysis (TLG), tumour metabolic volume (MTV), and maximum tumour mediastinal background ratio (SUVtmr). The correlation between each parameter and the tumour Ki-67 expression level was assessed using two grouping methods. The results demonstrated that there was no statistically significant difference in SUVmax, SUVmean, and SUVtmr between the Ki-67 (++) group (10% < Ki-67 ≤ 50%) and the Ki-67(+++)(Ki-67 > 50%) group. This difference was only observed between the Ki-67(+) group (Ki-67 ≤ 10%) and the Ki-67(++) group, as well as between the Ki-67(+) group and the Ki-67(+++) group. When grouping was less distinct, PET/CT-related parameters between the low expression level group (Ki-67 ≤ 10%) and the high Ki-67 expression level group (Ki-67 > 10%) were statistically significant. This study found that PET/CT-related parameters, particularly SUVmax, SUVmean, and SUVtmr, were not effective in accurately distinguishing between the lung adenocarcinoma Ki-67(++) (10% < Ki-67 ≤ 50%) and Ki-67(+++) (Ki-67 > 50%) groups.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。