Zinn Annemarie Barbara, Kenndoff Saskia, Holzgreve Adrien, Käsmann Lukas, Guggenberger Julian Elias, Hering Svenja, Mansoorian Sina, Schmidt-Hegemann Nina-Sophie, Reinmuth Niels, Tufman Amanda, Dinkel Julien, Manapov Farkhad, Belka Claus, Eze Chukwuka
Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistr, 15, 81377, Munich, Germany.
EJNMMI Rep. 2024 Oct 8;8(1):32. doi: 10.1186/s41824-024-00220-w.
Node-positive non-small cell lung cancers (NSCLCs) present a challenge for treatment decisions, particularly in patients ineligible for concurrent chemoradiotherapy (CRT) due to poor performance status and compromised lung function. We aimed to investigate the prognostic value of pretreatment positron emission tomography (PET) parameters in high-risk patients undergoing hypofractionated radiotherapy.
A retrospective analysis was conducted on 42 consecutive patients with inoperable node-positive NSCLC, who underwent hypofractionated radiotherapy between 2014 and 2021 at a single institution. Clinical, treatment-related, and [F]FDG PET-based parameters were correlated with progression-free survival (PFS) and overall survival (OS). Median dichotomisation was performed to establish risk groups. Statistical analyses included univariable and multivariable Cox regression and Kaplan-Meier survival analyses.
After a median follow-up of 47.1 months (range: 0.5-101.7), the median PFS and OS were 11.5 months (95% CI: 7.4-22.0), and 24.3 months (95% CI: 14.1-31.8). In univariable Cox regression analysis, significant predictors of PFS included receipt of salvage systemic treatment (p=0.007), SUVmax (p=0.032), and tMTV (p=0.038). Similarly, ECOG-PS (p=0.014), Histology (p=0.046), and tMTV (p=0.028) were significant predictors of OS. Multivariable Cox regression analysis (MVA) identified SUVmax as a significant predictor for PFS [HR: 2.29 (95% CI: 1.02-5.15); p=0.044]. For OS, ECOG-PS remained a significant prognosticator [HR: 3.53 (95% CI: 1.49-8.39); p=0.004], and tMTV approached significance [HR: 2.24 (95% CI: 0.95-5.26); p=0.065]. Furthermore, the high tMTV group exhibited a median PFS of 5.3 months [95% CI: 2.8-10.4], while the low tMTV group had a PFS of 15.2 months [95% CI: 10.1-33.5] (p=0.038, log-rank test). Median OS was 33.5 months [95% CI: 18.3-56.8] for tMTV ≤ 36.6 ml vs. 14.1 months [95% CI: 8.1-27.2] for tMTV > 36.6 ml (p=0.028, log-rank test).
Pretreatment PET parameters, especially tMTV, hold promise as prognostic indicators in NSCLC patients undergoing hypofractionated radiotherapy. The study highlights the potential of PET metrics as biomarkers for patient stratification.
淋巴结阳性非小细胞肺癌(NSCLC)给治疗决策带来了挑战,尤其是对于那些因身体状况差和肺功能受损而不符合同步放化疗(CRT)条件的患者。我们旨在研究在接受大分割放疗的高危患者中,治疗前正电子发射断层扫描(PET)参数的预后价值。
对42例连续的无法手术切除的淋巴结阳性NSCLC患者进行回顾性分析,这些患者于2014年至2021年在单一机构接受了大分割放疗。将临床、治疗相关以及基于[F]FDG PET的参数与无进展生存期(PFS)和总生存期(OS)进行关联分析。通过中位数二分法建立风险组。统计分析包括单变量和多变量Cox回归以及Kaplan-Meier生存分析。
中位随访47.1个月(范围:0.5 - 101.7个月)后,中位PFS和OS分别为11.5个月(95%置信区间:7.4 - 22.0)和24.3个月(95%置信区间:14.1 - 31.8)。在单变量Cox回归分析中,PFS的显著预测因素包括接受挽救性全身治疗(p = 0.007)、SUVmax(p = 0.032)和tMTV(p = 0.038)。同样,ECOG-PS(p = 0.014)、组织学类型(p = 0.046)和tMTV(p = 0.028)是OS的显著预测因素。多变量Cox回归分析(MVA)确定SUVmax是PFS的显著预测因素[风险比:2.29(95%置信区间:1.02 - 5.15);p = 0.044]。对于OS,ECOG-PS仍然是显著的预后因素[风险比:3.53(95%置信区间:1.49 - 8.39);p = 0.004],tMTV接近显著水平[风险比:2.24(95%置信区间:0.95 - 5.26);p = 0.065]。此外,高tMTV组的中位PFS为5.3个月[95%置信区间:2.8 - 10.4],而低tMTV组的PFS为15.2个月[95%置信区间:10.1 - 33.5](p = 0.038,对数秩检验)。tMTV≤36.6 ml时的中位OS为33.5个月[95%置信区间:18.3 - 56.8],而tMTV>36.6 ml时为14.1个月[95%置信区间:8.1 - 27.2](p = 0.028,对数秩检验)。
治疗前PET参数,尤其是tMTV,有望作为接受大分割放疗的NSCLC患者的预后指标。该研究突出了PET指标作为患者分层生物标志物的潜力。