Department of PET Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Room 526, 5/F, Weilun Building, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Department of Radiation Oncology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Eur Radiol. 2023 Oct;33(10):6625-6635. doi: 10.1007/s00330-023-09922-4. Epub 2023 Jul 29.
To assess the value of positron emission tomography/computed tomography (PET/CT) in the efficacy evaluation of patients undergoing neoadjuvant immunotherapy plus chemotherapy, and to analyze its correlation with postoperative pathology.
The PET/CT metabolic parameters and CT size were retrospectively analyzed before and after neoadjuvant immunotherapy plus chemotherapy in 67 patients with resectable stage II/IIIA non-small-cell lung cancer (NSCLC). CT assessment based on immune response evaluation criteria in solid tumor criteria ((i)RECIST) was compared with PET/CT assessment based on the response criteria in solid tumors (PERCIST). The correlations between PET/CT metabolic parameters and postoperative pathology were analyzed. The value of PET/CT in the efficacy evaluation was assessed.
The PET/CT assessment showed high consistency with postoperative pathological evaluation, yet the CT assessment showed low consistency with postoperative pathological evaluation. The (i)RECIST and PERCIST criteria showed statistically significant differences (p < 0.001). The postoperative pathological response was negatively associated with ΔSUV (%) (r = - 0.812, p < 0.001), ΔSUV (%) (r = - 0.805, p < 0.001), and ΔSUV (%) (r = - 0.800, p < 0.001). The cut-off values of 75.8 for ΔSUVmax (%), 67.8 for ΔSUVmean (%), and 74.6 for ΔSUVpeak (%) had the highest sensitivity and specificity.
The PERCIST criteria are more sensitive and accurate than (i)RECIST criteria to identify more responders when evaluating the response of neoadjuvant immunotherapy plus chemotherapy for NSCLC. PET/CT shows high accuracy in predicting postoperative pathological response. Our study shows the important role PET/CT plays in the efficacy evaluation of NSCLC patients undergoing neoadjuvant immunotherapy plus chemotherapy, as well as in predicting the prognosis and guiding postoperative treatment.
Neoadjuvant immunotherapy plus chemotherapy is highly effective in the treatment of non-small-cell lung cancer. And PET/CT played an important role in the efficacy evaluation following neoadjuvant immunotherapy plus chemotherapy for non-small-cell lung cancer.
• Neoadjuvant immunotherapy plus chemotherapy is highly effective in the treatment of NSCLC. • The PERCIST criteria are more sensitive and accurate than (i)RECIST criteria to identify more responders when evaluating the response of neoadjuvant immunotherapy plus chemotherapy for NSCLC. • PET/CT played an important role in the efficacy evaluation; ΔSUVmax (%), ΔSUVmean (%), and ΔSUVpeak (%) following neoadjuvant immunotherapy plus chemotherapy for NSCLC had high consistency and strong correlations with postoperative pathology.
评估正电子发射断层扫描/计算机断层扫描(PET/CT)在接受新辅助免疫治疗加化疗的患者疗效评估中的价值,并分析其与术后病理的相关性。
回顾性分析 67 例可切除 II/IIIA 期非小细胞肺癌(NSCLC)患者新辅助免疫治疗加化疗前后的 PET/CT 代谢参数和 CT 大小。基于实体瘤免疫反应评估标准((i)RECIST)的 CT 评估与基于实体瘤反应标准(PERCIST)的 PET/CT 评估进行比较。分析 PET/CT 代谢参数与术后病理的相关性。评估 PET/CT 在疗效评估中的价值。
PET/CT 评估与术后病理评估高度一致,而 CT 评估与术后病理评估一致性较低。(i)RECIST 和 PERCIST 标准之间存在统计学差异(p<0.001)。术后病理反应与ΔSUV(%)(r=−0.812,p<0.001)、ΔSUV(%)(r=−0.805,p<0.001)和ΔSUV(%)(r=−0.800,p<0.001)呈负相关。ΔSUVmax(%)的截断值为 75.8、ΔSUVmean(%)的截断值为 67.8 和ΔSUVpeak(%)的截断值为 74.6 时,具有最高的敏感性和特异性。
与(i)RECIST 标准相比,PERCIST 标准在评估 NSCLC 新辅助免疫治疗加化疗的反应时更能识别更多的应答者。PET/CT 在预测术后病理反应方面具有较高的准确性。我们的研究表明,PET/CT 在评估新辅助免疫治疗加化疗的 NSCLC 患者的疗效以及预测预后和指导术后治疗方面具有重要作用。
新辅助免疫治疗加化疗在非小细胞肺癌的治疗中非常有效。PET/CT 在新辅助免疫治疗加化疗治疗非小细胞肺癌的疗效评估中发挥了重要作用。
新辅助免疫治疗加化疗在非小细胞肺癌的治疗中非常有效。
与(i)RECIST 标准相比,PERCIST 标准在评估 NSCLC 新辅助免疫治疗加化疗的反应时更能识别更多的应答者。
PET/CT 在新辅助免疫治疗加化疗的疗效评估中发挥了重要作用;ΔSUVmax(%)、ΔSUVmean(%)和ΔSUVpeak(%)与术后病理具有高度一致性和强相关性。