相关实验视频

Updated: Jul 25, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

在多发性骨髓瘤中使用全身MRI组图分析更准确地预测治疗反应,而不是使用全身MRI组图分析的平均明显扩散系数值

Qingyan Qi1,2, Huazheng Dong3, Xiaodong Ji4

  • 1The First Central Clinical School, Tianjin Medical University, Tianjin, China.

Future oncology (London, England)
|June 30, 2023
PubMed
概括

对明显扩散系数 (ADC) 图像的组图分析可以预测新诊断的多发性骨髓瘤 (NDMM) 的早期治疗反应. 特定的ADC组图参数准确地识别了患者,在两次循环后实现了深度反应.

关键词:
这是一个ADCADC ADC.历史图分析分析 历史图分析多发性骨髓瘤是多发性骨髓瘤的一种.治疗对治疗的反应反应.全身MRI全身磁力共振成像

更多相关视频

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.9K
Multimodal Bioluminescent and Positronic-emission Tomography/Computational Tomography Imaging of Multiple Myeloma Bone Marrow Xenografts in NOG Mice05:32

Multimodal Bioluminescent and Positronic-emission Tomography/Computational Tomography Imaging of Multiple Myeloma Bone Marrow Xenografts in NOG Mice

Published on: January 7, 2019

6.9K

相关概念视频

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
5.3K