字号·· | 护眼
福克斯新闻网

隐藏的线索可能有助于提前数年预测女性的乳腺癌风险Hidden clues could help predict a woman’s breast cancer risk years in advance

点「原文对照」整页切到原文,或双击某段只看那段的原文。

人工智能(AI)工具可以帮助医生提前数年预测女性患乳腺癌的风险。(iStock)An artificial intelligence (AI) tool could help doctors predict a woman's risk of developing breast cancer years in advance. (iStock)

根据新研究,人工智能(AI)工具可能帮助医生提前数年预测女性患乳腺癌的风险。

An artificial intelligence (AI) tool could help doctors predict a woman's risk of developing breast cancer years in advance, according to new research.

在一项新研究中,研究人员在《美国放射学杂志》上发表论文,纽约大学朗格尼健康中心及其佩尔穆特癌症中心的研究人员测试了一种旨在估计女性五年内患乳腺癌风险的AI模型。

In a new study, published in the American Journal of Roentgenology, researchers at NYU Langone Health and its Perlmutter Cancer Center tested an AI model designed to estimate a woman's risk of developing breast cancer within five years.

根据研究人员的说法,该工具通过分析女性多年的3D乳腺X光片来追踪乳腺组织随时间的变化,而不仅仅是查看最新的扫描结果。

The tool looks at several years of a woman's 3D mammograms to track changes in breast tissue over time, rather than looking only at the latest scan, according to the researchers.

新阿尔茨海默病血液检测可预测谁可能在5至10年内患上痴呆症。该模型是基于超过161,000名女性的313,000多张乳腺X光片开发的,研究称。

NEW ALZHEIMER'S BLOOD TEST PREDICTS WHO IS LIKELY TO DEVELOP DEMENTIA IN 5 TO 10 YEARS The model was developed using more than 313,000 mammograms from more than 161,000 women, according to the study.

麻省乳腺影像专家、哈佛医学院放射学教授康妮·莱曼(Connie Lehman)未参与该研究,她告诉福克斯新闻数字版,AI可能有助于识别那些原本可能被忽视的高风险女性。"作为医生和乳腺影像专家,我数十年来一直在照顾那些因乳腺癌诊断而震惊的女性,"莱曼说。"一次又一次,我听到她们说:'这怎么可能?我家族中从未有人患过乳腺癌。'"

Connie Lehman, a Massachusetts-based breast imaging specialist and professor of radiology at Harvard Medical School who was not involved in the study, told Fox News Digital that AI could help identify women whose increased risk might otherwise go unnoticed. "For decades, as a doctor and breast imaging specialist, I have cared for women who were shocked by a breast cancer diagnosis," Lehman said. "Again and again, I heard: 'How can this be? No one in my family has had breast cancer.'"

莱曼表示,传统风险评估可以考虑家族史和基因突变等因素,而AI则可以在女性的乳腺组织中寻找其他线索。"乳腺X光片不仅能告诉我们今天是否可见癌症,还能提供女性未来几年患癌风险的信息,"她说。

Traditional risk assessments can consider factors such as family history and genetic mutations, while AI can look for additional clues within a woman's breast tissue, according to Lehman. "A mammogram can tell us more than whether cancer is visible today — it can also provide information about a woman's risk of developing cancer in the years ahead," she said.

这些信息最终可能帮助医生根据女性的个体风险定制乳腺癌筛查方案,莱曼说。根据Lehman的说法,被识别为风险增加的女性可以与医疗保健提供者讨论额外的筛查,例如MRI,而平均风险的女性可以继续进行常规乳腺X光检查。

That information could eventually help doctors tailor breast cancer screening to a woman's individual risk, Lehman said. CLICK HERE FOR MORE LIFESTYLE STORIES Women identified as being at increased risk could discuss additional screening, such as MRI, with their health care providers, while women at average risk may continue with routine mammograms, according to Lehman.

该工具通过分析女性多年的3D乳腺X光片,追踪乳腺组织随时间的变化。(iStock)The tool looks at several years of a woman's 3D mammograms to track changes in breast tissue over time. (iStock)

她指出,该技术还可以分析女性已经做过的乳腺X光片,这意味着增加的风险信息不需要另一次影像检查或额外的辐射。

The technology could also analyze mammograms a woman has already had, meaning the added risk information would not require another imaging exam or additional radiation, she noted.

Lehman警告说,AI风险评分不是癌症诊断,也不能确定地预测女性是否会患上这种疾病。

Lehman cautioned that an AI risk score is not a cancer diagnosis and cannot predict with certainty whether a woman will develop the disease.

专家表示,传统风险评估可考虑家族史和基因突变等因素,而AI则能在女性乳腺组织中寻找更多线索。(iStock)Traditional risk assessments can consider factors such as family history and genetic mutations, while AI can look for additional clues in a woman's breast tissue, experts say. (iStock)

她说:“较高的评分可以促使您与医疗保健提供者讨论额外的筛查和风险降低方案。”“较低的评分不能消除风险或取代常规乳腺X光检查。”根据Lehman的说法,纽约大学模型仍是一种研究工具,尚未获得FDA授权用于临床使用。

"A higher score can prompt a conversation with your health care provider about additional screening and risk-reduction options," she said. "A lower score does not eliminate risk or replace regular mammography." The NYU model remains a research tool and is not FDA-authorized for clinical use, according to Lehman.

研究人员还指出,需要进行更多测试。该研究使用了纽约大学朗格尼医院的乳腺X光片和一家制造商的成像设备。

The researchers also noted that more testing is needed. The study used mammograms from NYU Langone hospitals and imaging equipment from one manufacturer.

根据纽约大学朗格尼医院的说法,该团队计划使用其他医疗中心的数据和不同的3D乳腺X光系统来测试该模型。福克斯新闻数字平台已联系研究人员以获取评论。

The team plans to test the model using data from other medical centers and different 3D mammography systems, according to NYU Langone. Fox News Digital reached out to the researchers for comment.