Nussbaum Samuel, Shoukry Mira, Ashary Mohammed Ali, Kasbi Ali Abbaszadeh, Baksh Mizba, Gabriel Emmanuel
Department of Surgery, Section of Surgical Oncology, Mayo Clinic, Jacksonville, FL 32224, USA.
Cancers (Basel). 2022 Mar 18;14(6):1549. doi: 10.3390/cancers14061549.
The management of cancer has always relied heavily on the imaging modalities used to detect and monitor it. While many of these modalities have been around for decades, the technology surrounding them is always improving, and much has been discovered in recent years about the nature of tumors because of this. There have been several areas that have aided those discoveries. The use of artificial intelligence has already helped immensely in the quality of images taken but has not yet been widely implemented in clinical settings. Molecular imaging has proven to be useful in diagnosing different types of cancers based on the specificity of the probes/contrast agents used. Intravital imaging has already uncovered new information regarding the heterogeneity of the tumor vasculature. These three areas have provided a lot of useful information for the diagnosis and treatment of cancer, but further research and development in human trials is necessary to allow these techniques to fully utilize the information obtained thus far.
癌症的管理一直严重依赖于用于检测和监测癌症的成像方式。虽然其中许多方式已经存在了几十年,但围绕它们的技术一直在改进,并且近年来由于这一点,人们对肿瘤的性质有了很多发现。有几个领域推动了这些发现。人工智能的使用已经极大地提高了所拍摄图像的质量,但尚未在临床环境中广泛应用。分子成像已被证明基于所使用的探针/造影剂的特异性,在诊断不同类型的癌症方面很有用。活体成像已经揭示了关于肿瘤血管系统异质性的新信息。这三个领域为癌症的诊断和治疗提供了许多有用的信息,但需要在人体试验中进行进一步的研究和开发,以使这些技术能够充分利用迄今为止获得的信息。