世界上首个大规模、多中心的单次读片乳腺摄影前瞻性研究证实，Lunit AI提高了癌症检测率-动脉网

World's First Large-Scale, Multicenter Prospective Study in Single-Reading Mammography Confirms Lunit AI Boosts Cancer Detection

CISION 等信源发布 2025-03-10 21:00

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可切换为仅中文

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Prospective study finds Lunit AI increases cancer detection by 13.8% in single-reader settings without raising recall rates, presenting a game-changing tool for countries relying on single-reader mammography screening

前瞻性研究发现，Lunit AI 在单阅片者环境下可将癌症检出率提高 13.8%，同时不增加召回率，为依赖单阅片者乳腺摄影筛查的国家提供了一种改变局面的工具。

SEOUL, South Korea

韩国首尔

，

March 10, 2025

2025年3月10日

/PRNewswire/ -- Lunit (KRX:328130.KQ), a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, today announced the publication of a

/PRNewswire/ -- Lunit（KRX:328130.KQ），一家为癌症诊断和治疗提供人工智能解决方案的领先提供商，今天宣布了一项出版物的发布。

groundbreaking prospective study in

开创性的前瞻性研究在

Nature Communications

自然通讯

validating the real-world effectiveness of AI-powered mammography screening in

验证人工智能驱动的乳腺X光筛查在现实世界中的有效性

South Korea's

韩国的

national breast cancer screening program. Conducted as the world's first large-scale, multicenter prospective study in a single-reading setting, the research underscores how AI-assisted mammography interpretation significantly improves breast cancer detection rates without increasing recall rates.

国家乳腺癌筛查项目。作为世界上首个在单一阅片环境下进行的大规模、多中心前瞻性研究，该研究强调了人工智能辅助的乳腺X光摄影解读如何显著提高乳腺癌的检出率，而不会增加召回率。

继续阅读

Lunit's AI-powered mammography analysis solution, Lunit INSIGHT MMG

Lunit的AI驱动的乳腺X光分析解决方案，Lunit INSIGHT MMG

The study was led by Professor

研究由教授领导。

Yun-Woo Chang

常允宇

from Soonchunhyang University Seoul Hospital, in collaboration with both breast and general radiologists from six leading academic hospitals in

首尔顺天乡大学医院，与来自六家领先学术医院的乳腺和普通放射科医生合作，

South Korea

韩国

. The study analyzed 24,543 women aged 40 and above who underwent routine biennial mammography (2D full-field digital mammogram) between

该研究分析了24,543名40岁及以上女性，这些女性在期间接受了常规的两年一次乳房X光检查（二维全视野数字乳腺摄影）。

February 2021

2021年2月

and

和

December 2022

2022年12月

as part of Korea's national breast cancer screening program.

作为韩国国家乳腺癌筛查计划的一部分。

The study compared the performance of breast radiologists interpreting screening mammograms with and without Lunit's AI-based computer-aided detection, Lunit INSIGHT MMG. The results revealed that AI-assisted breast radiologists detected 13.8% more screen-detected breast cancers than those relying solely on conventional interpretation methods, or without AI assistance.

该研究比较了乳腺放射科医生在使用和不使用Lunit的基于人工智能的计算机辅助检测系统Lunit INSIGHT MMG的情况下解读筛查乳腺X光片的表现。结果显示，使用人工智能辅助的乳腺放射科医生比仅依靠传统解读方法或没有人工智能辅助的医生多检测出13.8%的筛查发现的乳腺癌。

The cancer detection rate (CDR) increased from 5.01 (per 1,000) to 5.70 with AI assistance, while recall rates (RRs) remained statistically unchanged, ensuring improved clinical effectiveness and minimizing unnecessary additional recalls. Moreover, AI assistance led to a significant improvement in detecting small-sized tumors and node-negative cancers, key indicators of improved early detection..

在人工智能辅助下，癌症检出率（CDR）从每1,000人5.01上升至5.70，而召回率（RRs）在统计上保持不变，确保了临床效果的提升并减少了不必要的额外召回。此外，人工智能辅助显著提高了对小型肿瘤和淋巴结阴性癌症的检测能力，这是早期检测改善的关键指标。

Additionally, the study evaluated Lunit INSIGHT MMG's impact on general radiologists who do not specialize in breast imaging through a simulated retrospective study. The results demonstrated that AI assistance led to an even greater improvement in CDRs for general radiologists, with an increase of 26.4% (3.87 to 4.89 per 1,000), underscoring AI's potential to support radiologists with varying levels of expertise..

此外，该研究还通过一项模拟的回顾性研究评估了Lunit INSIGHT MMG对非乳腺影像专科的普通放射科医生的影响。结果显示，在AI辅助下，普通放射科医生的癌症检出率（CDR）提升了26.4%（每1,000例从3.87增加到4.89），这突显了AI在支持不同专业水平的放射科医生方面的潜力。

'This prospective study offers compelling real-world evidence that AI can improve early cancer detection while maintaining effectiveness and reducing unnecessary patient anxiety caused by false positives in a single-reading setting,' said Professor Chang, the lead and corresponding author of the study..

“这项前瞻性研究提供了令人信服的真实世界证据，表明人工智能可以在单一阅片环境中提高早期癌症检测率，同时保持有效性，并减少因假阳性导致的不必要患者焦虑，”该研究的领衔作者兼通讯作者张教授表示。

A Proven Solution for Single and Double-Reading Screening Systems

经过验证的单双阅读筛查系统解决方案

The publication further builds upon Lunit INSIGHT MMG's well-established track record in improving breast cancer detection. In

该出版物进一步建立在Lunit INSIGHT MMG在改善乳腺癌检测方面已确立的良好记录之上。

Sweden

瑞典

, Capio St. Göran Hospital conducted a prospective clinical trial to assess Lunit AI's effectiveness in breast cancer screening when replacing one reader within a double-reading setting. Following positive trial results, Capio St. Göran Hospital became the world's first to replace one of two radiologists in its double-reading workflow with AI, marking a paradigm shift in breast cancer screening..

卡皮奥圣戈兰医院开展了一项前瞻性临床试验，以评估Lunit AI在双阅片模式下替代一名阅片员进行乳腺癌筛查的有效性。在取得积极的试验结果后，卡皮奥圣戈兰医院成为全球首家在双阅片工作流程中用AI取代两名放射科医生之一的医院，标志着乳腺癌筛查领域的范式转变。

'This latest prospective study in

“这项最新的前瞻性研究

South Korea

韩国

further solidifies Lunit INSIGHT MMG's potential as an indispensable tool in breast cancer screening,' said

进一步巩固了Lunit INSIGHT MMG作为乳腺癌筛查不可或缺的工具的潜力，

Brandon Suh

布兰登·苏

, CEO of Lunit. 'Whether in a single-reader or double-reader setting, AI can serve as a powerful force multiplier, assisting radiologists in detecting cancer earlier and more accurately.'

，Lunit公司首席执行官。“无论是在单阅片者还是双阅片者的环境下，人工智能都可以作为一个强大的力量倍增器，帮助放射科医生更早、更准确地检测癌症。”

Shaping the Future of National Breast Cancer Screening Programs

塑造国家乳腺癌筛查项目的未来

With mounting evidence supporting AI's role in breast cancer screening, Lunit is driving its global adoption. Lunit INSIGHT MMG has already been deployed in national breast screening programs in

随着越来越多的证据支持人工智能在乳腺癌筛查中的作用，Lunit正在推动其全球应用。Lunit INSIGHT MMG 已经在多个国家的乳腺癌筛查项目中部署。

Australia

澳大利亚

，

Sweden

瑞典

，

Iceland

冰岛

，

Singapore

新加坡

，

Saudi Arabia

沙特阿拉伯

, and

，以及

Qatar

卡塔尔

, helping healthcare systems enhance efficiency and optimize diagnostic accuracy.

，帮助医疗系统提高效率并优化诊断准确性。

The study's findings are expected to influence global breast cancer screening protocols, particularly in countries where single-reading mammography interpretation is widely practiced. By demonstrating AI's ability to enhance radiologists' accuracy without increasing RRs, the study provides critical data supporting AI's role in optimizing cancer detection while reducing the workload burden on radiologists.

该研究的发现预计将影响全球乳腺癌筛查方案，尤其是在广泛实施单次读片的国家。通过展示人工智能在不增加放射科医生工作量的情况下提高其准确性，该研究提供了关键数据，支持人工智能在优化癌症检测的同时减轻放射科医生的工作负担。

This is particularly relevant as many countries face a shortage of specialized breast imaging professionals, making AI an important tool to improve efficiency and maintain high diagnostic standards..

这一点尤为重要，因为许多国家面临着乳腺影像专业人员短缺的问题，这使得人工智能成为提高效率和保持高诊断标准的重要工具。

'As AI adoption accelerates, we remain committed to driving innovation and making AI-powered cancer screening the new standard of care,' added Suh. 'By working closely with healthcare providers worldwide, we aim to ensure that AI benefits as many patients as possi

“随着人工智能的采用加速，我们仍然致力于推动创新，使人工智能驱动的癌症筛查成为护理的新标准，”Suh补充道。“通过与全球医疗保健提供者紧密合作，我们的目标是确保人工智能惠及尽可能多的患者。

ble.'

蓝牙。

About Lunit

关于Lunit

Founded in 2013, Lunit (KRX:328130.KQ) is a medical AI company on a mission to conquer cancer. Lunit harnesses AI-powered medical image analytics and biomarker analysis to ensure accurate diagnosis and optimal treatment for each cancer patient. The FDA-cleared Lunit INSIGHT suite for cancer screening serves over 4,800 medical institutions across 55+ countries..

2013年成立的Lunit（KRX:328130.KQ）是一家致力于攻克癌症的医疗AI公司。Lunit利用人工智能驱动的医学影像分析和生物标志物分析，为每位癌症患者提供精确诊断和最佳治疗方案。通过FDA认证的Lunit INSIGHT癌症筛查套件已服务于55多个国家的4800多家医疗机构。

Lunit clinical studies have been published in top journals, including the

Lunit的临床研究已发表在顶级期刊上，包括

Journal of Clinical Oncology

临床肿瘤学杂志

and the

和

Lancet Digital Health

《柳叶刀数字健康》

, and presented at global conferences such as the ASCO and RSNA. Headquartered in

，并在全球会议如ASCO和RSNA上展示。总部位于

Seoul, South Korea