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Image-guided prostate biopsy robots: A review

前列腺活检 活检 放射科 医学 前列腺 计算机科学 机器人 计算机视觉 人工智能 癌症 内科学
作者
Yongde Zhang,Qihang Yuan,Hafiz Muhammad Muzzammil,Guoqiang Gao,Yong Xu
出处
期刊:Mathematical Biosciences and Engineering [American Institute of Mathematical Sciences]
卷期号:20 (8): 15135-15166 被引量:4
标识
DOI:10.3934/mbe.2023678
摘要

<abstract> <p>At present, the incidence of prostate cancer (PCa) in men is increasing year by year. So, the early diagnosis of PCa is of great significance. Transrectal ultrasonography (TRUS)-guided biopsy is a common method for diagnosing PCa. The biopsy process is performed manually by urologists but the diagnostic rate is only 20%–30% and its reliability and accuracy can no longer meet clinical needs. The image-guided prostate biopsy robot has the advantages of a high degree of automation, does not rely on the skills and experience of operators, reduces the work intensity and operation time of urologists and so on. Capable of delivering biopsy needles to pre-defined biopsy locations with minimal needle placement errors, it makes up for the shortcomings of traditional free-hand biopsy and improves the reliability and accuracy of biopsy. The integration of medical imaging technology and the robotic system is an important means for accurate tumor location, biopsy puncture path planning and visualization. This paper mainly reviews image-guided prostate biopsy robots. According to the existing literature, guidance modalities are divided into magnetic resonance imaging (MRI), ultrasound (US) and fusion image. First, the robot structure research by different guided methods is the main line and the actuators and material research of these guided modalities is the auxiliary line to introduce and compare. Second, the robot image-guided localization technology is discussed. Finally, the image-guided prostate biopsy robot is summarized and suggestions for future development are provided.</p> </abstract>
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