Department of Medicine and Health Sciences, Università del Molise, Contrada Tappino, Campobasso, Italy.
Med Sci Monit. 2013 Feb 7;19:95-101. doi: 10.12659/msm.883759.
Personalized cancer therapy remains a challenge. In this context, we attempted to identify correlations between tumour angiogenesis, tumour metabolism and tumour cell type. To this aim, we used single=phase multidetector computed tomography (MDCT) and hybrid positron emission tomography-computed tomography (PET/CT) to determine whether net enhancement and standardized uptake value (SUVmax) were correlated with tumour size and cytology in patients affected by non-small cell lung cancer (NSCLC).
Our study included 38 patients (30 men, 8 women, mean age 70) with a NSCLC measuring between 3 cm and 7 cm, using a 16-slice multidetector CT (Brilliance Philips) and with PET-CT (Biograph 16 Siemens Medical Solutions). The following lesion parameters were evaluated: maximum diameter, medium density before contrast injection (CTpre), medium density after contrast injection (CTpost average), density in the most enhanced part of the lesion after contrast (CTpost max), net enhancement, SUVmax, age, and cytology. Correlation coefficient and p-value were computed for each pair of variables. In addition, correlations were computed for each pair of variables, and for all combinations of tumour types. We focused on subsets of data with more than 10 observations, and with correlation r>0.500 and p<0.05.
A weak correlation (r=0.32; p=0.048) was found between SUVmax and tumour size; the correlation was stronger for masses larger than 31 mm (r=0.4515; p=0.0268). No other correlations were found among the variables examined.
Our data may have prognostic significance, and could lead to more appropriate surgical treatment and better treatment outcome.
个性化癌症治疗仍然是一个挑战。在这种情况下，我们试图确定肿瘤血管生成、肿瘤代谢和肿瘤细胞类型之间的相关性。为此，我们使用单相多排 CT（MDCT）和正电子发射断层扫描-计算机断层扫描（PET/CT）混合来确定在非小细胞肺癌（NSCLC）患者中，净增强和标准化摄取值（SUVmax）是否与肿瘤大小和细胞学相关。
我们的研究包括 38 名 NSCLC 患者（30 名男性，8 名女性，平均年龄 70 岁），肿瘤大小在 3 厘米到 7 厘米之间，使用 16 排多排 CT（Brilliance Philips）和 PET-CT（Biograph 16 Siemens Medical Solutions）。评估了以下病变参数：最大直径、对比前的平均密度（CTpre）、对比后的平均密度（CTpost average）、对比后病变最增强部分的密度（CTpost max）、净增强、SUVmax、年龄和细胞学。计算了每对变量的相关系数和 p 值。此外，还计算了每对变量以及所有肿瘤类型组合之间的相关性。我们关注的是数据子集，这些子集的观察值超过 10 个，并且相关系数 r>0.500 和 p<0.05。
发现 SUVmax 与肿瘤大小之间存在弱相关性（r=0.32；p=0.048）；对于大于 31 毫米的肿块，相关性更强（r=0.4515；p=0.0268）。在检查的变量之间没有发现其他相关性。
我们的数据可能具有预后意义，并可能导致更合适的手术治疗和更好的治疗效果。
