Photon-counting CT in cancer radiotherapy: technological advances and clinical benefits.

IF 3.3 3区医学 Q2 ENGINEERING, BIOMEDICAL

Physics in medicine and biology Pub Date : 2025-05-16 DOI:10.1088/1361-6560/add4ba

Keyur D Shah, Jun Zhou, Justin Roper, Anees Dhabaan, Hania Al-Hallaq, Amir Pourmorteza, Xiaofeng Yang

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引用次数: 0

Abstract

Photon-counting computed tomography (PCCT) marks a significant advancement over conventional Energy-integrating detector CT systems. This review highlights PCCT's superior spatial and contrast resolution, reduced radiation dose, and multi-energy imaging capabilities, which address key challenges in radiotherapy, such as accurate tumor delineation, precise dose calculation, and treatment response monitoring. PCCT's improved anatomical clarity enhances tumor targeting while minimizing damage to surrounding healthy tissues. Additionally, Metal artifact reduction and quantitative imaging capabilities optimize workflows, enabling ART and radiomics-driven personalized treatment. Emerging clinical applications in brachytherapy and radiopharmaceutical therapy show promising outcomes, although challenges like high costs and limited software integration remain. With advancements in artificial intelligence and dedicated radiotherapy packages, PCCT is poised to transform precision, safety, and efficacy in cancer radiotherapy, marking it as a pivotal technology for future clinical practice.

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光子计数CT在肿瘤放疗中的应用：技术进展及临床效益。

光子计数计算机断层扫描（PCCT）标志着传统能量积分检测器（EID） CT系统的重大进步。这篇综述强调了PCCT优越的空间和对比度分辨率、降低的辐射剂量和多能成像能力，这解决了放射治疗中的关键挑战，如准确的肿瘤描绘、精确的剂量计算和治疗反应监测。PCCT提高了解剖清晰度，增强了肿瘤靶向性，同时最大限度地减少了对周围健康组织的损害。此外，金属伪影减少（MAR）和定量成像功能优化了工作流程，实现了自适应放疗和放射学驱动的个性化治疗。近距离放射治疗和放射药物治疗（RPT）的新兴临床应用显示出有希望的结果，尽管诸如高成本和有限的软件集成等挑战仍然存在。随着人工智能（AI）和专用放疗包的进步，PCCT有望改变癌症放疗的精度、安全性和有效性，成为未来临床实践的关键技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physics in medicine and biology 医学-工程：生物医学

CiteScore

6.50

自引率

14.30%

发文量

409

审稿时长

2 months

期刊介绍： The development and application of theoretical, computational and experimental physics to medicine, physiology and biology. Topics covered are: therapy physics (including ionizing and non-ionizing radiation); biomedical imaging (e.g. x-ray, magnetic resonance, ultrasound, optical and nuclear imaging); image-guided interventions; image reconstruction and analysis (including kinetic modelling); artificial intelligence in biomedical physics and analysis; nanoparticles in imaging and therapy; radiobiology; radiation protection and patient dose monitoring; radiation dosimetry