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利用成像模式预测实体瘤中纳米颗粒的分布和治疗效果:超声的作用日益凸显。

Using imaging modalities to predict nanoparticle distribution and treatment efficacy in solid tumors: The growing role of ultrasound.

机构信息

Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.

Department of Radiology, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, Ohio, USA.

出版信息

Wiley Interdiscip Rev Nanomed Nanobiotechnol. 2024 Mar-Apr;16(2):e1957. doi: 10.1002/wnan.1957.

Abstract

Nanomedicine in oncology has not had the success in clinical impact that was anticipated in the early stages of the field's development. Ideally, nanomedicines selectively accumulate in tumor tissue and reduce systemic side effects compared to traditional chemotherapeutics. However, this has been more successful in preclinical animal models than in humans. The causes of this failure to translate may be related to the intra- and inter-patient heterogeneity of the tumor microenvironment. Predicting whether a patient will respond positively to treatment prior to its initiation, through evaluation of characteristics like nanoparticle extravasation and retention potential in the tumor, may be a way to improve nanomedicine success rate. While there are many potential strategies to accomplish this, prediction and patient stratification via noninvasive medical imaging may be the most efficient and specific strategy. There have been some preclinical and clinical advances in this area using MRI, CT, PET, and other modalities. An alternative approach that has not been studied as extensively is biomedical ultrasound, including techniques such as multiparametric contrast-enhanced ultrasound (mpCEUS), doppler, elastography, and super-resolution processing. Ultrasound is safe, inexpensive, noninvasive, and capable of imaging the entire tumor with high temporal and spatial resolution. In this work, we summarize the in vivo imaging tools that have been used to predict nanoparticle distribution and treatment efficacy in oncology. We emphasize ultrasound imaging and the recent developments in the field concerning CEUS. The successful implementation of an imaging strategy for prediction of nanoparticle accumulation in tumors could lead to increased clinical translation of nanomedicines, and subsequently, improved patient outcomes. This article is categorized under: Diagnostic Tools In Vivo Nanodiagnostics and Imaging Therapeutic Approaches and Drug Discovery Nanomedicine for Oncologic Disease Therapeutic Approaches and Drug Discovery Emerging Technologies.

摘要

肿瘤纳米医学在临床应用方面的影响并没有像该领域发展初期预期的那样成功。理想情况下,与传统化疗相比,纳米药物应选择性地在肿瘤组织中积累,并减少全身副作用。然而,这在临床前动物模型中比在人体中更为成功。导致这种转化失败的原因可能与肿瘤微环境的个体内和个体间异质性有关。通过评估纳米粒子在肿瘤中的外渗和保留潜力等特征,在治疗开始之前预测患者是否会对治疗产生积极反应,可能是提高纳米医学成功率的一种方法。虽然有许多潜在的策略可以实现这一目标,但通过非侵入性医学成像进行预测和患者分层可能是最有效和最具体的策略。在这方面,已经有一些使用 MRI、CT、PET 和其他模态的临床前和临床进展。另一种尚未广泛研究的替代方法是生物医学超声,包括多参数对比增强超声(mpCEUS)、多普勒、弹性成像和超分辨率处理等技术。超声安全、廉价、非侵入性,能够以高时空分辨率对整个肿瘤进行成像。在这项工作中,我们总结了用于预测肿瘤中纳米粒子分布和治疗效果的体内成像工具。我们强调了超声成像以及该领域在 CEUS 方面的最新发展。成功实施用于预测肿瘤中纳米粒子积累的成像策略,可能会导致纳米医学的临床转化增加,从而改善患者的预后。本文属于以下类别:诊断工具 体内纳米诊断和成像 治疗方法和药物发现 纳米医学治疗肿瘤疾病 治疗方法和药物发现 新兴技术。

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