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Nathalie Lassau

纳塔利·拉索

MD, PhD

🏢Gustave Roussy Cancer Campus(古斯塔夫·鲁西癌症校区)🌐France

Head of Imaging Department影像学部门主任

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Key Papers
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Awards
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Key Contributions

👥Biography 个人简介

Nathalie Lassau is a leader in radiomics and quantitative imaging biomarkers at Gustave Roussy, one of Europe's premier cancer centers. She has pioneered dynamic contrast-enhanced ultrasound (DCE-US) as a method to quantify tumor perfusion and assess anti-angiogenic therapy response, developing the CEUS response criteria adopted in European trials. Lassau leads large-scale radiomics research programs integrating AI with multi-modal imaging (CT, MRI, PET, ultrasound) and has built one of Europe's largest cancer imaging datasets for AI training. Her research spans imaging-based treatment response prediction, precision monitoring, and AI-augmented radiology workflows.

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🧪Research Fields 研究领域

radiomics影像组学
dynamic contrast-enhanced ultrasound动态对比增强超声
imaging biomarkers treatment response影像生物标志物治疗反应
AI cancer imagingAI癌症成像
quantitative imaging定量影像

🎓Key Contributions 主要贡献

DCE-US for Anti-Angiogenic Therapy Response

Developed DCE-US quantification methods for assessing anti-angiogenic therapy response through perfusion change measurement, providing an earlier and cheaper alternative to anatomic CT response assessment.

European Cancer Imaging AI Program

Led development of large-scale European cancer imaging datasets and AI validation platforms at Gustave Roussy, advancing standardized AI-based radiomics tools for multi-center adoption.

Representative Works 代表性著作

[1]

Validation of DCE-US Criteria for Response Assessment of Anti-Angiogenic Agents

European Radiology (2011)

DCE-US response criteria validation across multiple cancer types.

[2]

Radiomics in Cancer: AI Perspectives and Challenges

Nature Reviews Clinical Oncology (2022)

Comprehensive review of radiomics and AI in cancer imaging.

🏆Awards & Recognition 奖项与荣誉

🏆European Society of Medical Imaging Innovation Award
🏆French National Cancer Institute Distinguished Researcher Award

📄Data Sources 数据来源

Last updated: 2026-01-15 | All information from publicly available academic sources

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