美国癌症协会国家肺癌圆桌会议战略计划：肺癌护理连续过程中先进影像学的机遇

The American Cancer Society National Lung Cancer Roundtable strategic plan: Opportunities in advanced imaging across the lung cancer care continuum.

期刊: Cancer
PMID: 42583877
原文: PubMed ↗
发布日期: 2026-08-12

作者

Daniel C Sullivan — Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA.
Michael McNitt-Gray — Department of Radiological Sciences, David Geffen School of Medicine at the University of California-Los Angeles, Los Angeles, California, USA.
Denise R Aberle — Department of Radiological Sciences, David Geffen School of Medicine at the University of California-Los Angeles, Los Angeles, California, USA.
Ricardo S Avila — Accumetra, LLC, Clifton Park, New York, USA.
Samuel G Armato — Department of Radiology, The University of Chicago, Chicago, Illinois, USA.
Paul M Bergstrom — Radiation Physics Division, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
Maria Chong — RADIA Inc., PS, Lynnwood, Washington, USA.
Dianna D Cody — Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Laura P Coombs — Data Science and Informatics, American College of Radiology, Reston, Virginia, USA.
Richard A Frank — Frank Healthcare Advisors, Bronxville, New York, USA.
Robert J Gillies — Department of Cancer Physiology, Moffitt Cancer Center, Tampa, Florida, USA.
Jonathan G Goldin — Department of Radiological Sciences, David Geffen School of Medicine at the University of California-Los Angeles, Los Angeles, California, USA.
Jayashree Kalpathy-Cramer — Division of Artificial Intelligence, Department of Ophthalmology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Paul E Kinahan — Department of Radiology, University of Washington, Seattle, Washington, USA.
Matthew B Schabath — Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Robert A Smith — Center for Early Cancer Detection, American Cancer Society, Atlanta, Georgia, USA.
David F Yankelevitz — Department of Radiology, Icahn School of Medicine, The Mount Sinai Health System, New York, New York, USA.
Ella A Kazerooni — Department of Radiology, University of Michigan/Michigan Medicine, Ann Arbor, Michigan, USA.

作者单位

Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA.
Department of Radiological Sciences, David Geffen School of Medicine at the University of California-Los Angeles, Los Angeles, California, USA.
Accumetra, LLC, Clifton Park, New York, USA.
Department of Radiology, The University of Chicago, Chicago, Illinois, USA.
Radiation Physics Division, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
RADIA Inc., PS, Lynnwood, Washington, USA.
Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Data Science and Informatics, American College of Radiology, Reston, Virginia, USA.
Frank Healthcare Advisors, Bronxville, New York, USA.
Department of Cancer Physiology, Moffitt Cancer Center, Tampa, Florida, USA.
Division of Artificial Intelligence, Department of Ophthalmology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Department of Radiology, University of Washington, Seattle, Washington, USA.
Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Center for Early Cancer Detection, American Cancer Society, Atlanta, Georgia, USA.
Department of Radiology, Icahn School of Medicine, The Mount Sinai Health System, New York, New York, USA.
Department of Radiology, University of Michigan/Michigan Medicine, Ann Arbor, Michigan, USA.

摘要

中文

肺癌是男性和女性癌症死亡的主要原因。降低肺癌死亡率的目标需要改善护理路径的许多方面，从早期检测开始。影像技术的进步及其在临床实践中的应用有助于应对这些挑战。作为美国癌症协会国家肺癌圆桌会议战略计划的一部分，圆桌会议的“肺癌护理连续过程中的先进影像学”工作组确定了四个先进影像技术主题作为优先发展领域。包括（1）新型影像技术，（2）定量影像生物标志物，（3）共享影像数据和/或算法的系统，以及（4）影像相关的人工智能解决方案。作者提供了每个优先主题的背景，描述了肺癌护理路径中的关键临床问题作为用例场景，并评论了阻碍这些潜在进展实施和传播的挑战。

English

Lung cancer is the leading cause of cancer death in men and women. The goal of reducing mortality from lung cancer requires improvements in many aspects of the care pathway, beginning with early detection. Advances in imaging technologies and their application in clinical practice can contribute to addressing these challenges. As part of the American Cancer Society National Lung Cancer Roundtable's strategic plan, the roundtable's Advanced Imaging Across the Lung Cancer Care Continuum Task Group identified four advanced imaging technology topics as priority areas for development. These include novel (1) imaging technologies, (2) quantitative imaging biomarkers, (3) systems for sharing image data and/or algorithms, and (4) imaging-related artificial intelligence solutions. The authors provide background for each priority topic, describe key clinical problems along the lung cancer care pathway as use-case scenarios, and comment on challenges that impede implementation and dissemination of these potential advances.

分类与指标

研究类型: 综述Meta
病种: 肺癌
JCR 分区: Q1
影响因子: 5.6
新锐分区: 2区