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相关概念视频

Imaging Studies I: Kidney, Ureter, and Bladder Studies01:28

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Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...
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[基于人工智能的融合前列腺活检]

Sándor Póth1,2, Róbert Túróczi-Kirizs3, Ágnes Kovács2

  • 11 Szegedi Tudományegyetem, Orvostudományi Kar, Szent-Györgyi Albert Klinikai Központ, Urológiai Klinika Szeged Magyarország.

Orvosi hetilap
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概括
此摘要是机器生成的。

人工智能 (AI) 和3D建模增强了跨关前列腺活检,改善了癌症检测,并显著降低了感染风险. 这种人工智能辅助的融合活检方法为诊断前列腺癌提供了更安全,更准确的方法.

关键词:
在MR fúziós活检中进行了活检.核磁共振核磁共振融合活检人工智能的人工智能是人工智能.感染学 感染学传染病学 在传染病学.士们的聪明智力前列腺癌是前列腺癌.这就是为什么我们说"prosztatarákák"这个词.

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科学领域:

  • 泌尿器科 泌尿器科 泌尿器科 泌尿器科
  • 医疗成像医学成像
  • 人工智能在医学中的应用

背景情况:

  • 前列腺活检技术已经从盲目采样演变为超声导向,现在是多参数核磁共振 (mpMRI) 与融合活检.
  • 精确检测临床上显著的前列腺癌,并尽量减少感染风险仍然是前列腺活检的关键挑战.

研究的目的:

  • 介绍匈牙利初步的人工智能 (AI) 辅助图像分析和跨前列腺活检中的3D虚拟建模的经验.
  • 评估这种新方法的安全性,诊断准确性和效率.

主要方法:

  • 在2020年11月至2024年4月期间进行的227次跨关前列腺活检的回顾性分析.
  • 使用了Watson Elementary® AI进行图像分析和PI-RADS v. 2.1分类,以及3D数字建模.
  • 在麻醉下使用BiopSee®围活检站进行的手术.

主要成果:

  • 高瘤检测率:PI-RADS 3 的18%,PI-RADS 4 的72%,PI-RADS 5 的95.5% .
  • 临床显著的前列腺癌检测率分别为PI-RADS 3,4和5的7%,44%和84%.
  • 报告的零感染性并发症;最小的血/血精 (86例) 和快速导管切除 (71%在24小时内).

结论:

  • 通过人工智能辅助的分析和跨关节融合活检中的3D建模提供了高患者安全性和诊断透明度.
  • 通过跨关节的方法,与研究所的协议,几乎消除了感染风险.
  • 标准化的成像和采样协议可以提高前列腺癌的诊断和治疗决策.