Generation and Dissemination of Enhanced AI/ML-ready Prostate Cancer Imaging Datasets for Public Use

生成和传播增强型 AI/ML 就绪前列腺癌成像数据集供公众使用

• 批准号: 10842801
• 负责人: CLARE M TEMPANY
• 金额: $ 35.54万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-06 至 2025-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10842801
• 关键词: Address; Appearance; Artificial Intelligence; Classification; Collection; Data; Data Commons; Data Set; Development; Diagnosis; Digital Imaging and Communications in Medicine; Educational Materials; Electronic Health Record; Electronics; Evaluation; Generations; Goals; Heterogeneity; Hospitals; Image; Imaging Device; Individual; Institution; International; Location; MRI Scans; Machine Learning; Magnetic Resonance Imaging; Malignant Neoplasms; Malignant neoplasm of prostate; Medical; Medical Records; Metadata; Methods; Mission; Modality; Outcome; Parents; Pathology; Pathology Report; Patient Care; Patients; Privatization; Procedures; Process; Prostate Cancer therapy; Radiology Specialty; Records; Reporting; Research; Research Personnel; Resource Sharing; Resources; Risk Assessment; Scanning; Screening for Prostate Cancer; Source Code; Standardization; Teaching Materials; Technology; Text; Training; United States National Institutes of Health; Vendor; Woman; Work; artificial intelligence algorithm; artificial intelligence method; cancer heterogeneity; cancer imaging; cancer risk; clinical imaging; data sharing; data visualization; deep learning; detection method; image guided; image guided therapy; imaging facilities; imaging modality; imaging system; innovation; interest; interoperability; machine learning method; men; method development; novel; open source; parent grant; prostate cancer risk; research and development; risk stratification; tool

PROJECT SUMMARY Summary of parent grant The Advanced Technologies-National Center for Image guided Therapy (AT-NCIGT) is a research and technology center with the mission of advancing patient care, by developing novel innovative tools for image guided Therapy (IGT). The three technologies encompass Imaging Cancer Heterogeneity, Deep learning and Intraoperative devices for image guided therapy which will be investigated both individually and in cross TR&D combinations. The parent AT-NCIGT project includes development of the open source platform to support management and analysis of imaging data collected during image-guided procedures. This platform is being developed in one of the aims under the TRD2. The work proposed under this supplement is within the scope of work being done in AT-NCIGT Deep Learning TRD specifically, since it is proposing to develop technology that will support enriching the datasets collected for an application of priority for AT-NCIGT - prostate cancer - with the metadata to make it AI/ML ready. The tools developed for harmonizing and enriching prostate cancer MRI datasets will support integration of the platform with the latest AI/ML analysis tools and their evaluation, both by the project investigators and by the external collaborators, while the publicly available curated dataset released as a deliverable of the supplement will support external development of AI/ML tools in prostate cancer imaging. Goals of the supplement project We propose to make prostate cancer imaging data more AI/ML ready by performing the following, 1) Automatically generate critical missing metadata regarding the type of MRI scan perform including the modality, use of contrast, and presence of an endorectal coil, 2) Enhance public datasets and a BWH dataset with this metadata and share the results, and 3) Demonstrate how to use the enhanced data in an AI/ML application and distribute teaching materials. Through this project, we will be able to provide publicly available enriched datasets in standardized formats that are suitable for AI and ML development of methods for the detection and risk assessment of prostate cancer.

项目概要 家长补助金摘要 先进技术国家影像引导治疗中心 (AT-NCIGT) 是一个研究和 技术中心的使命是通过开发新颖的图像创新工具来推进患者护理 引导治疗（IGT）。这三项技术包括癌症异质性成像、深度学习和 用于图像引导治疗的术中设备将单独进行研究并在交叉 TR&D 中进行研究 组合。父 AT-NCIGT 项目包括开发开源平台以支持 管理和分析图像引导程序期间收集的图像数据。这个平台正在 是根据 TRD2 的目标之一开发的。本补充文件中提议的工作属于 AT-NCIGT 深度学习 TRD 正在开展工作，因为它提议开发技术 将支持丰富为 AT-NCIGT（前列腺癌）优先应用而收集的数据集 元数据，使其为 AI/ML 做好准备。为协调和丰富前列腺癌 MRI 开发的工具 数据集将支持该平台与最新的人工智能/机器学习分析工具及其评估的集成，均通过 项目研究人员和外部合作者，同时发布了公开可用的精选数据集 该补充品的交付成果将支持前列腺癌成像中 AI/ML 工具的外部开发。 补充项目的目标 我们建议通过执行以下操作，使前列腺癌成像数据更加适合 AI/ML：1) 自动生成有关 MRI 扫描执行类型的关键缺失元数据，包括 模态、对比的使用以及直肠内线圈的存在，2) 增强公共数据集和 BWH 数据集 使用此元数据并共享结果，以及 3) 演示如何在 AI/ML 中使用增强数据 申请并分发教材。通过这个项目，我们将能够向公众提供 以标准化格式丰富的数据集，适合人工智能和机器学习方法的开发 前列腺癌的检测和风险评估。

项目成果

WSD-0922, a novel brain-penetrant inhibitor of epidermal growth factor receptor, promotes survival in glioblastoma mouse models.

WSD-0922 是一种新型脑渗透性表皮生长因子受体抑制剂，可促进胶质母细胞瘤小鼠模型的存活。

• 发表时间: 2023
• 作者: Conage;Stopka, Sylwia A;Oh, Ju;Mladek, Ann C;Burgenske, Danielle M;Regan, Michael S;Baquer, Gerard;Decker, Paul A;Carlson, Brett L;Bakken, Katrina K;Zhang, Jinqiang;Liu, Lily;Sun, Claire;Mu, Zhihua;Zhong, Wei;Tran, Nhan L
• 通讯作者: Tran, Nhan L

Global cancer surgery in low-resource settings: A strengths, weaknesses, opportunities, and threats analysis.

资源匮乏地区的全球癌症手术：优势、劣势、机会和威胁分析。

• 发表时间: 2023-03-01
• 影响因子: 6.2
• 作者: Sadler, Samantha J;Torio, Erickson F;Golby, Alexandra J
• 通讯作者: Golby, Alexandra J

Convection enhanced delivery of EGFR targeting antibody-drug conjugates Serclutamab talirine and Depatux-M in glioblastoma patient-derived xenografts.

在胶质母细胞瘤患者来源的异种移植物中，对流增强了 EGFR 靶向抗体药物缀合物 Serclamab talirine 和 Depatux-M 的递送。

• 发表时间: 2022
• 作者: Porath, Kendra A;Regan, Michael S;Griffith, Jessica I;Jain, Sonia;Stopka, Sylwia A;Burgenske, Danielle M;Bakken, Katrina K;Carlson, Brett L;Decker, Paul A;Vaubel, Rachael A;Dragojevic, Sonja;Mladek, Ann C;Connors, Margaret A;Hu, Zeng;He, Lih
• 通讯作者: He, Lih

Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations

最大化跨特征和拓扑视图的互信息以学习图表示

• 发表时间: 2021-05-14
• 期刊: ArXiv
• 作者: Xiaolong Fan;Maoguo Gong;Yue Wu;Hao Li
• 通讯作者: Hao Li

PET/CT Fluoroscopy during PET/CT-Guided Interventions: Initial Experience.

PET/CT 引导干预期间的 PET/CT 透视：初步经验。

• 发表时间: 2023-08
• 作者: Jiang, Liwei;Jowkar, Nick;King, Franklin;Plishker, William;Bhagavatula, Sharath K.;Levesque, Vincent M.;Kapur, Tina;Shyn, Paul B.
• 通讯作者: Shyn, Paul B.