在胸部X射线细分口罩上低估了肺部区域,通过与计算机断层扫描评估的肺部总体积进行比较来评估
P Bombiński1, P Szatkowski2, B Sobieski3
1Department of Pediatric Radiology, Medical University of Warsaw, Pediatric Clinical Hospital, 63A Żwirki i Wigury St, Warsaw 02-091, Poland; upmedic, 2/11 Sądowa St, 20-027 Lublin, Poland.
Radiography (London, England : 1995)
|April 2, 2025
概括
标准的胸部X射线肺部口罩低估了人工智能应用中的肺部尺寸. 这些使用当前黄金标准创建的口罩未能覆盖重要的肺部部分,可能会影响诊断准确度.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 医疗保健中的人工智能
背景情况:
- 目前用于AI应用的胸部X射线上制造肺部细分口罩的黄金标准方法低估了肺部区域.
- 这种低估可以通过比较2DX射线面具与3D计算机断层扫描 (CT) 数据来确定.
研究的目的:
- 为了评估当前黄金标准肺部细分口罩的准确性,从合成X射线图像与3DCT数据进行比较.
- 量化标准肺口罩低估了肺体积的程度.
主要方法:
- 低剂量CT扫描对55个没有肺病理的个体进行了回顾性分析.
- 从3DCT数据生成合成X射线图像.
- 由两个放射科医生手工创建CT的3D肺部面罩 (地面真相) 和合成X射线的2D肺部面罩.
- 对重叠和不重叠区域的分析和体积分数的计算.
主要成果:
- 在CT和合成X射线面具定义的肺部区域之间发现了显著的差异.
- 代表性不足的肺部区域的平均体积分是相当大的:22.8% (右肺),32.9% (左肺) 和27.3% (两肺).
- 在面具制造方面,观察到放射科医生间的良好协议.
结论:
- 通过X射线的当前黄金标准方法生成的肺部细分口罩显著低估了肺部体积.
- 这些标准面具限制了人工智能应用中的分析领域,可能导致不准确的结论和诊断.
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