Values and limitations of artificial intelligence aided diagnosis in prostate MRI: a systemic review of multicenter studies

WANG Kexin; GAO Ge

doi:10.19732/j.cnki.2096-6210.2023.01.004

您当前的位置：

首页 >

文章列表页 >

Values and limitations of artificial intelligence aided diagnosis in prostate MRI: a systemic review of multicenter studies

更新时间：2025-12-15

- Values and limitations of artificial intelligence aided diagnosis in prostate MRI: a systemic review of multicenter studies
- Vol. 32, Issue 1, Pages: 26-32(2023)
- 作者机构：
  
  北京大学第一医院医学影像科,北京,100034
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2023.01.004
  CLC：
- Published Online：28 February 2023，
  
  Published：28 February 2023
- 稿件说明：
移动端阅览
王可欣,高歌. 前列腺MRI人工智能辅助诊断的应用价值和局限性：多中心临床研究系统综述[J]. 肿瘤影像学, 2023, 32(1): 26-32 https://doi.

org/10.19732/j.cnki.2096-6210.2023.01.004
王可欣,高歌. 前列腺MRI人工智能辅助诊断的应用价值和局限性：多中心临床研究系统综述[J]. 肿瘤影像学, 2023, 32(1): 26-32 https://doi. DOI： 10.19732/j.cnki.2096-6210.2023.01.004.

org/10.19732/j.cnki.2096-6210.2023.01.004 DOI：

摘要

目的：

收集基于人工智能（artificial intelligence，AI）的多参数磁共振成像（multiparametric magnetic resonance imaging，mpMRI）诊断前列腺癌的多中心临床研究，分析AI mpMRI对前列腺癌的诊断价值。

方法：

通过系统检索PubMed、中国知网、万方数据、中国生物医学文献数据库，以mpMRI、前列腺癌、人工智能、诊断、多中心研究为入组条件，收集相关文献进行综述，从研究方案设计、患者人群、AI辅助方法、诊断效能等方面分析论文的研究结果。

结果：

共收集合格文献6篇，最早发表于2018年。6项研究中，全部由多名影像科医师读片。多数研究结论认为在AI辅助下医师诊断效能有所提升，但不同文献报道的研究方案存在一定差异，部分研究设计有缺陷。

结论：

AI应用于前列腺mpMRI的多中心临床研究仍较少，研究结果不一致，未来应开展更多、更规范的临床研究，以进一步验证AI在mpMRI前列腺癌诊断中的价值。

Abstract

Objective:

To collect multicenter clinical studies of artificial intelligence (AI)-based multiparametric magnetic resonance imaging (mpMRI) in the diagnosis of prostate cancer and to analyze the diagnostic value of AI mpMRI for prostate cancer.

Methods:

PubMed

Chinese National Knowledge Infrastructure (CNKI)

Wanfang data

and China Biology Medicine disc (CBMdisc) were systematically searched. The mpMRI

prostate cancer

artificial intelligence

diagnosis

and multicenter studies were used as entry criteria to collect

relevant literature for review. The findings of the papers were analyzed in terms of study protocol design

patient population

AI-assisted methods

and diagnostic efficacy.

Results:

A total of 6 eligible papers were collected

and the first was published in 2018. In all 6 studies

the researchers invited multiple radiologists to interpretate the mpMRI images with the help of AI. Most studies concluded that there was an improvement in radiologists diagnostic efficacy with AI assistance. However

there was some variation in the study protocols reported in different literature

and some of the study designs were flawed.

Conclusion:

There are still few multicenter clinical studies of AI applied to prostate mpMRI

and the findings are inconsistent. Standardized clinical studies should be conducted in the future to further validate the value of AI in the diagnosis of mpMRI prostate cancer.

关键词

Keywords

references

Views

1286

下载量

CNKI被引量

Alert me when the article has been cited

提交

Tools

Publicity Resources

Advances in the application of ultrasound artificial intelligence in prostate cancer

The application value of multimodal radiomics models in Gleason score of prostate cancer

A study on the diagnostic performance and consistency of clinically significant prostate cancer based on PI-RADS v2.1

Comparison of ¹⁸ F-PSMA-1007 PET/CT and mpMRI in the detection and intraprostatic localization of primary prostate cancer

Technical specifications of prostate multiparametric MRI based on Prostate Imaging Reporting and Data System Version 2

Related Author

Wanjun JIANG

Zhen WANG

Yunxin ZHAO

YANG Xin

YANG Hongkai

QI Xuan

ZHAI Chengfeng

HE Yongsheng nbsp

Related Institution

Department of Ultrasound, Shanghai Punan Hospital of Pudong New District

College of Medical Instrumentation, Shanghai University of Medicine & Health Sciences

Department of Imaging, Ma’anshan People’s Hospital, Ma’anshan

Department of Radiology, Beijing Friendship Hospital Affiliated to Capital Medical University

Department of Radiology, People&rsquo

AI问答

⁰