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Purpose of Review <p>Interventional oncology (IO) is a core component of modern cancer care, providing precise, minimally invasive treatments that preserve quality of life. Despite advances in robotic surgery, adoption of robotics in IO has been limited. This review evaluates the potential benefits of robotics in IO and the factors constraining wider use.</p> Recent Findings <p>Robotic platforms have shown improved needle placement accuracy, greater workflow standardization, and significant reductions in operator radiation exposure, particularly through remote operation. Robotics may also shorten learning curves and enable technically complex tasks such as multi-needle tumor ablation and advanced endovascular navigation. However, high costs, workflow disruption, limited imaging compatibility, and a narrow range of high-value applications remain key barriers.</p> Summary <p>Robotics in IO represents an evolutionary advance. Wider adoption will require evidence of improved outcomes, seamless integration into image-guided workflows, and sustainable business models that support real-world clinical use.</p>

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Robotics in Interventional Oncology: A Call to Arms?

  • 期刊论文

  • 发表日期：

    2026年3月31日

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  • Jonathan Tefera,
  • Youssef Ghosn,
  • Francois H. Cornelis,
  • David C. Madoff

摘要

Purpose of Review

Interventional oncology (IO) is a core component of modern cancer care, providing precise, minimally invasive treatments that preserve quality of life. Despite advances in robotic surgery, adoption of robotics in IO has been limited. This review evaluates the potential benefits of robotics in IO and the factors constraining wider use.

Recent Findings

Robotic platforms have shown improved needle placement accuracy, greater workflow standardization, and significant reductions in operator radiation exposure, particularly through remote operation. Robotics may also shorten learning curves and enable technically complex tasks such as multi-needle tumor ablation and advanced endovascular navigation. However, high costs, workflow disruption, limited imaging compatibility, and a narrow range of high-value applications remain key barriers.

Summary

Robotics in IO represents an evolutionary advance. Wider adoption will require evidence of improved outcomes, seamless integration into image-guided workflows, and sustainable business models that support real-world clinical use.