Frosina Guido
Mutagenesis & Cancer Prevention Unit, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genova, Italy.
Cancers (Basel). 2024 Apr 19;16(8):1566. doi: 10.3390/cancers16081566.
The first half of 2022 saw the publication of several major research advances in image-based models and artificial intelligence applications to optimize treatment strategies for high-grade gliomas, the deadliest brain tumors. We review them and discuss the barriers that delay their entry into clinical practice; particularly, the small sample size and the heterogeneity of the study designs and methodologies used. We will also write about the poor and late palliation that patients suffering from high-grade glioma can count on at the end of life, as well as the current legislative instruments, with particular reference to Italy. We suggest measures to accelerate the gradual progress in image-based models and end of life care for patients with high-grade glioma.
2022年上半年,基于图像的模型和人工智能应用在优化高级别胶质瘤(最致命的脑肿瘤)治疗策略方面取得了几项重大研究进展。我们对这些进展进行了综述,并讨论了阻碍它们进入临床实践的障碍;特别是研究设计和所采用方法的样本量小和异质性问题。我们还将阐述高级别胶质瘤患者在生命末期所能指望的可怜且滞后的姑息治疗情况,以及当前的立法手段,特别是以意大利为例。我们提出了加快基于图像的模型研究进展以及改善高级别胶质瘤患者临终关怀的措施。