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相关概念视频

Positron Emission Tomography01:29

Positron Emission Tomography

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Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
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相关实验视频

Updated: Jul 10, 2025

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images
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Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

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需要对基于人工智能的定量PET细分方法进行客观的基于任务的评估.

Ziping Liu1, Joyce C Mhlanga2, Barry A Siegel2,3

  • 1Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.

Proceedings of SPIE--the International Society for Optical Engineering
|November 22, 2023
PubMed
概括
此摘要是机器生成的。

评估人工智能 (AI) 用Dice分数对PET扫描进行细分可能并不反映临床性能. 基于任务的指标对于准确评估瘤成像中的AI至关重要.

关键词:
基于任务的评估基于任务的评估.人工智能的人工智能是人工智能.定子发射断层扫描 (PET).量化量化量化量化量化量化量化量化量化量化量化量化量细分化 细分化的细分化

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科学领域:

  • 医学成像医学成像
  • 人工智能的人工智能是人工智能.
  • 在瘤学瘤学.

背景情况:

  • 人工智能 (AI) 显示出对瘤性正子发射断层扫描 (PET) 图像的细分有希望.
  • 临床翻译需要对相关任务的绩效评估.
  • 当前的评估指标,比如子分数,可能与任务绩效无关.

研究的目的:

  • 调查Dice的分数是否与基于AI的PET图像细分的临床任务性能保持一致.
  • 将Dice分数评估与基于任务的代谢瘤体积 (MTV) 和总损伤糖解 (TLG) 的量化进行比较.

主要方法:

  • 对多中心临床试验数据的回顾性分析 (ECOG-ACRIN 6668/RTOG 0235).
  • 对AI细分方法的评估,使用Dice分数和量化MTV/TLG的准确性.
  • 子得分评估与基于任务的评估结果的比较.

主要成果:

  • 子得分可能导致与基于任务的表现不一致的解释.
  • 使用Dice分数的AI细分评估可能不会准确地反映MTV/TLG量化临床实用性.
  • 差异凸显了临床任务重叠指标的局限性.

结论:

  • 基于任务的评估对于基于人工智能的量化PET细分方法至关重要.
  • 仅仅依靠Dice的得分可能会误解AI细分工具的临床相关性.
  • 对AI在瘤学中的可靠临床转化需要客观的,具体的任务指标.