Department of Medical Imaging, Baoji Central Hospital, Baoji, China.
Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
BMC Pulm Med. 2024 Oct 30;24(1):545. doi: 10.1186/s12890-024-03370-6.
Lung cancer continues to pose a serious risk to human health. With a high mortality rate, non-small cell lung cancer (NSCLC) is the major type of lung cancer, making up to 85% of all cases of lung cancer. Lung adenocarcinoma (AC), and lung squamous cell carcinoma (SC) are the two primary types of NSCLC. Determining the pathological type of NSCLC is important in establishing the most effective treatment method. Dual-energy computed tomography (DECT) multi-parameter imaging is an imaging technology that provides accurate and reliable disease diagnosis, and its uses are utilized for the combined diagnostic efficacy of AC and SC. The purpose of this study was to investigate the diagnostic value of spectral parameters of DECT in efficacy to AC and SC, and their combined diagnostic efficacy was also analyzed.
We conducted a retrospective analysis of clinical and imaging data for 36 patients diagnosed with SC and 35 patients with AC. These patients underwent preoperative DECT chest scans, encompassing both arterial and venous phases, at our hospital from December 2020 to April 2022. The tumor diameter, water concentration (WC), iodine concentration (IC), normalized iodine concentration (NIC), Z effective (Zeff), and slope of the curve (K) in lesions were evaluated during two scanning phases in the two separate pathological types of lung cancers. The differences in parameters between these two types of lung cancers were statistically analyzed. In addition, receiver operating characteristic (ROC) curves were performed for these parameters to distinguish between SC and AC.
In a univariate analysis involving 71 lung cancer patients, the results from Zeff, IC, NIC, and K from the AC's arterial and venous phase images were more elevated than those from the SC (P < 0.05). In contrast, the WC results were lower than those from SC (P < 0.05). The area under the ROC curve (AUC) for multi-parameter joint prediction typing was 0.831, with a corresponding sensitivity of 63.9% and specificity of 94.3%.
It is possible to distinguish between central SC and AC using the spectrum characteristics of DECT-enhanced scanning (Zeff, IC, NIC, K, WC, and tumor diameter). Diagnostic effectiveness can be greatly improved when multiple variables are included.
肺癌继续对人类健康构成严重威胁。非小细胞肺癌（NSCLC）是肺癌的主要类型，死亡率高，占所有肺癌病例的 85%。肺腺癌（AC）和肺鳞状细胞癌（SC）是 NSCLC 的两种主要类型。确定 NSCLC 的病理类型对于确定最有效的治疗方法很重要。双能 CT（DECT）多参数成像技术是一种提供准确可靠疾病诊断的成像技术，用于 AC 和 SC 的联合诊断效能。本研究旨在探讨 DECT 能谱参数对 AC 和 SC 的诊断价值，并分析其联合诊断效能。
回顾性分析我院 2020 年 12 月至 2022 年 4 月间收治的 36 例 SC 患者和 35 例 AC 患者的临床和影像学资料。所有患者均行术前 DECT 胸部扫描，包括动脉期和静脉期。在两种不同的病理类型的肺癌中，分别评估肿瘤直径、水浓度（WC）、碘浓度（IC）、归一化碘浓度（NIC）、有效原子序数（Zeff）和曲线斜率（K）。对两种肺癌类型之间的参数差异进行统计学分析。此外，对这些参数进行了受试者工作特征（ROC）曲线分析，以区分 SC 和 AC。
在涉及 71 例肺癌患者的单因素分析中，动脉期和静脉期 AC 的 Zeff、IC、NIC 和 K 结果均高于 SC（P<0.05），而 WC 结果低于 SC（P<0.05）。多参数联合预测分型的 ROC 曲线下面积（AUC）为 0.831，相应的敏感性为 63.9%，特异性为 94.3%。
DECT 增强扫描的谱特征（Zeff、IC、NIC、K、WC 和肿瘤直径）可以区分中央型 SC 和 AC。当纳入多个变量时，诊断效果可以大大提高。
Zotero 插件
