Deng Liangna, Yang Jingjing, Ren Tiezhu, Jing Mengyuan, Han Tao, Zhang Bin, Zhou Junlin
Second Clinical School, Lanzhou University, Lanzhou, China.
Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.
Quant Imaging Med Surg. 2023 Aug 1;13(8):4960-4972. doi: 10.21037/qims-22-1206. Epub 2023 May 31.
Non-small cell lung cancer (NSCLC) accounts for 80% of total lung cancer cases, it is necessary to distinguish the histological types of NSCLC. This study set out to investigate the correlation between spectral computed tomography (CT) and CT perfusion parameters in patients with NSCLC and to compare the differential diagnostic efficacy of these two imaging modalities for the histological classification of NSCLC.
A total of 62 eligible consecutive patients, including 32 with lung adenocarcinoma (LUAD) and 30 with lung squamous cell carcinoma (LUSC), who underwent "one-stop" spectral combined perfusion scan and pathologically confirmed NSCLC at Lanzhou University Second Hospital between September 2020 and December 2021 were prospectively enrolled. The spectral parameters of lesions in the arterial phase (AP) and venous phase (VP) [including iodine concentration (IC), effective atomic number (Zeff), CT, and slope of the spectral curve (K)] and perfusion parameters [blood flow (BF), blood volume (BV), surface permeability (PS), and mean transit time (MTT)] were assessed. Pearson or Spearman correlation analysis was performed to evaluate the correlation between the two imaging parameters, and the DeLong test was used to compare the diagnostic performance of the two imaging modalities.
BV and BF were strongly correlated with spectral parameters CT, IC, Zeff, and K in the AP and VP (0.6<r<0.8, P<0.001). MTT was moderately correlated with the above spectral parameters in the AP and VP (0.4<r<0.6, P<0.001). PS was weakly correlated with the above spectral parameters in the VP (0.2<r<0.4, P<0.05). The DeLong test revealed a statistical difference between the area under the curve (AUC) of spectral CT (AUC =0.93, 95% CI: 0.86-0.99, sensitivity =0.94, specificity =0.83) and perfusion CT (AUC =0.81, 95% CI: 0.70-0.92, sensitivity =0.99, specificity =0.57) (P<0.05).
Spectral parameters are significantly correlated with perfusion parameters in NSCLC, and spectral CT has a better diagnostic efficacy than perfusion CT in differentiating the histological classification of NSCLC.
非小细胞肺癌(NSCLC)占肺癌病例总数的80%,区分NSCLC的组织学类型很有必要。本研究旨在探讨NSCLC患者的光谱计算机断层扫描(CT)与CT灌注参数之间的相关性,并比较这两种成像方式对NSCLC组织学分类的鉴别诊断效能。
前瞻性纳入2020年9月至2021年12月期间在兰州大学第二医院接受“一站式”光谱联合灌注扫描且病理确诊为NSCLC的62例连续符合条件的患者,其中包括32例肺腺癌(LUAD)患者和30例肺鳞状细胞癌(LUSC)患者。评估动脉期(AP)和静脉期(VP)病变的光谱参数[包括碘浓度(IC)、有效原子序数(Zeff)、CT和光谱曲线斜率(K)]以及灌注参数[血流量(BF)、血容量(BV)、表面通透性(PS)和平均通过时间(MTT)]。采用Pearson或Spearman相关性分析评估两种成像参数之间的相关性,采用DeLong检验比较两种成像方式的诊断性能。
BV和BF与AP和VP中的光谱参数CT、IC、Zeff和K高度相关(0.6<r<0.8,P<0.001)。MTT与AP和VP中的上述光谱参数中度相关(0.4<r<0.6,P<0.001)。PS与VP中的上述光谱参数弱相关(0.2<r<0.4,P<0.05)。DeLong检验显示光谱CT的曲线下面积(AUC)(AUC =0.93,95%CI:0.86-0.99,灵敏度=0.94,特异性=0.83)与灌注CT的曲线下面积(AUC =0.81,95%CI:0.70-0.92,灵敏度=0.99,特异性=0.57)之间存在统计学差异(P<0.05)。
NSCLC中的光谱参数与灌注参数显著相关,光谱CT在鉴别NSCLC组织学分类方面比灌注CT具有更好的诊断效能。