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首页|期刊导航|医学信息|基于人工智能的多模态磁共振成像对鉴别乳腺良恶性病变的价值研究

基于人工智能的多模态磁共振成像对鉴别乳腺良恶性病变的价值研究

徐文华 刘晋亮 吴勇兴

医学信息2024,Vol.37Issue(24):144-147,4.
医学信息2024,Vol.37Issue(24):144-147,4.DOI:10.3969/j.issn.1006-1959.2024.24.039

基于人工智能的多模态磁共振成像对鉴别乳腺良恶性病变的价值研究

Value of Multimodal Magnetic Resonance Imaging Based on Artificial Intelligence in Differentiating Benign and Malignant Breast Lesions

徐文华 1刘晋亮 1吴勇兴1

作者信息

  • 1. 抚州健强第五医院影像科,江西 抚州 344000
  • 折叠

摘要

Abstract

Objective To explore the diagnostic value of multimodal magnetic resonance imaging based on artificial intelligence in benign and malignant breast lesions.Methods From May 2021 to July 2023,120 patients with benign and malignant breast lesions who underwent surgical treatment in Fuzhou Jianqiang Fifth Hospital were selected as the research objects.The patients were divided into benign lesion group(n=72)and malignant lesion group(n=48).All patients completed multimodal magnetic resonance imaging and high-frequency color Doppler ultrasound examination based on artificial intelligence in our hospital.The accuracy,sensitivity and specificity of different examination methods,as well as sADC,ADC and f indexes of the two groups were compared.Results The sensitivity,specificity,accuracy,positive predictive value and negative predictive value of multimodal magnetic resonance imaging based on artificial intelligence in the diagnosis of benign and malignant breast lesions were 95.83%,98.61%,97.50%,93.88%and 95.95%,respectively,which were higher than 83.33%,80.56%,81.67%,64.52%and 72.50%of high frequency color Doppler ultrasound(P<0.05).The sADC in malignant group was lower than that in benign group(P<0.05).The ADC and f in the malignant lesion group were higher than those in the benign lesion group(P<0.05).Conclusion Multimodal magnetic resonance imaging based on artificial intelligence has high sensitivity in the diagnosis of benign and malignant breast lesions,which is helpful to improve the accuracy of breast mass diagnosis and provide more accurate examination results.

关键词

人工智能/多模态磁共振成像/高频彩色多普勒超声/乳腺良恶性病变

Key words

Artificial intelligence/Multimodal magnetic resonance imaging/High frequency color Doppler ultrasound/Benign and malignant breast lesions

分类

医药卫生

引用本文复制引用

徐文华,刘晋亮,吴勇兴..基于人工智能的多模态磁共振成像对鉴别乳腺良恶性病变的价值研究[J].医学信息,2024,37(24):144-147,4.

基金项目

抚州市指导性科技计划项目(抚科社字[2023]7号序号59) (抚科社字[2023]7号序号59)

医学信息

1006-1959

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