Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
Department of Orthopaedic Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Cancer Med. 2024 Feb;13(4):e7072. doi: 10.1002/cam4.7072.
Predictive analytics is gaining popularity as an aid to treatment planning for patients with bone metastases, whose expected survival should be considered. Decreased psoas muscle area (PMA), a morphometric indicator of suboptimal nutritional status, has been associated with mortality in various cancers, but never been integrated into current survival prediction algorithms (SPA) for patients with skeletal metastases. This study investigates whether decreased PMA predicts worse survival in patients with extremity metastases and whether incorporating PMA into three modern SPAs (PATHFx, SORG-NG, and SORG-MLA) improves their performance.
One hundred eighty-five patients surgically treated for long-bone metastases between 2014 and 2019 were divided into three PMA tertiles (small, medium, and large) based on their psoas size on CT. Kaplan-Meier, multivariable regression, and Cox proportional hazards analyses were employed to compare survival between tertiles and examine factors associated with mortality. Logistic regression analysis was used to assess whether incorporating adjusted PMA values enhanced the three SPAs' discriminatory abilities. The clinical utility of incorporating PMA into these SPAs was evaluated by decision curve analysis (DCA).
Patients with small PMA had worse 90-day and 1-year survival after surgery (log-rank test p < 0.001). Patients in the large PMA group had a higher chance of surviving 90 days (odds ratio, OR, 3.72, p = 0.02) and 1 year than those in the small PMA group (OR 3.28, p = 0.004). All three SPAs had increased AUC after incorporation of adjusted PMA. DCA indicated increased net benefits at threshold probabilities >0.5 after the addition of adjusted PMA to these SPAs.
Decreased PMA on CT is associated with worse survival in surgically treated patients with extremity metastases, even after controlling for three contemporary SPAs. Physicians should consider the additional prognostic value of PMA on survival in patients undergoing consideration for operative management due to extremity metastases.
预测分析作为一种辅助治疗患有骨转移患者的方法越来越受欢迎,因为需要考虑到患者的预期生存时间。腰大肌面积(PMA)减少是营养状况不佳的形态计量指标,与各种癌症的死亡率有关,但从未被纳入骨骼转移患者的当前生存预测算法(SPA)中。本研究旨在探讨 PMA 减少是否可预测四肢转移患者的生存状况更差,以及将 PMA 纳入三种现代 SPA(PATHFx、SORG-NG 和 SORG-MLA)是否可提高其性能。
2014 年至 2019 年间,185 例接受长骨转移手术治疗的患者根据 CT 上的腰大肌大小分为 PMA 三分位(小、中、大)。采用 Kaplan-Meier、多变量回归和 Cox 比例风险分析比较三分位之间的生存情况,并研究与死亡率相关的因素。采用逻辑回归分析评估将调整后的 PMA 值纳入这三种 SPA 是否可提高其判别能力。通过决策曲线分析(DCA)评估将 PMA 纳入这些 SPA 的临床实用性。
PMA 较小的患者手术后 90 天和 1 年的生存率更差(对数秩检验,p<0.001)。与 PMA 较小的患者相比,PMA 较大的患者有更高的机会在 90 天(优势比,OR,3.72,p<0.001)和 1 年(OR,3.28,p=0.004)时存活。纳入调整后的 PMA 后,所有三种 SPA 的 AUC 均增加。DCA 表明,在将调整后的 PMA 加入这些 SPA 后,在阈值概率>0.5 时,净获益增加。
即使在控制三种现代 SPA 后,CT 上的 PMA 减少与接受四肢转移手术治疗的患者的生存率更差相关。对于考虑手术治疗四肢转移的患者,医生应考虑 PMA 对生存的额外预后价值。