Computer-Aided Diagnosis of Breast Lesions in Mammograms
乳房 X 光检查中乳腺病变的计算机辅助诊断
基本信息
- 批准号:8082772
- 负责人:
- 金额:$ 30.4万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2002
- 资助国家:美国
- 起止时间:2002-04-01 至 2014-05-31
- 项目状态:已结题
- 来源:
- 关键词:AddressBiopsyBreastBreast Cancer DetectionClassificationClinicalComputer AssistedComputer-Assisted DiagnosisComputersDetectionDiagnosisDiagnosticEarly DiagnosisEffectivenessEnsureGoalsHandHealthImageImage AnalysisImaging DeviceInvestigationLateralLeadLesionLocationMagnetic Resonance ImagingMalignant - descriptorMalignant NeoplasmsMammographyMethodsPerformanceReproducibilityResearchResearch DesignResearch PersonnelScreening procedureSourceTechniquesTestingTheoretical StudiesUltrasonographyWorkbasebreast lesionburden of illnesscalcificationcancer diagnosisclinically significantdigital imagingeffective therapyimaging modalityimprovedinnovationmalignant breast neoplasmnovelpre-clinicalradiologistresearch clinical testingtool
项目摘要
DESCRIPTION (provided by applicant): The application's broad, long-term objective is to reduce the disease burden of breast cancer through early detection and accurate diagnosis, which lead to effective treatment. The goal of this project is to develop innovative approaches to computer-aided diagnosis (CADx) of breast calcifications for breast cancer detection and diagnosis. Other researchers in our group are developing CADx for breast masses separately, in conjunction with this project, because diagnostic workup of breast masses requires multi-modality imaging (ultrasound and MRI) in addition to mammography. We will test the hypothesis that CADx of breast calcifications can help improve breast cancer detection and diagnosis. The Specific Aims of this project are: (1) reduce or eliminate influence on computer classification from inter- and intra-radiologist variability in their interaction with the computer; (2) investigate computer classification of magnification mammogram; (3) investigate and reduce computer variability in classification of a lesion in multiple views; and (4) investigate potential benefit of CADx to enhance the effectiveness of computer-aided detection (CADe) in screening mammography. The research design will be to understand the mechanisms of computer variability in its calculations from the identified sources, to develop new techniques to minimize computer calculation variability, to develop new techniques for new CADx applications, and to perform an observer performance study to show that CADx can potentially enhance the effectiveness of CADe. The methods to be used include computer image analysis, statistical classifier, ROC analysis, statistical comparison, and observer performance study. The rationales for pursuing these goals include an anticipated need to address critical clinical acceptance issues of CADx based on already demonstrated high performance of our CADx technique and a planned pre-clinical and clinical evaluation of CADx, and a new opportunity for potential novel application of CADx to enhance the effectiveness of CADe. The techniques that we will use are either proven in previous investigations, or based on theoretical studies, or based on our observation in working with radiologists developing CADx techniques. The importance and health relatedness of the research described in this application is that it will address significant limitations of current CADx technique that likely will hinder clinical acceptance of CADx and will address an innovative potential for CADx to enhance the effectiveness of CADe in breast cancer detection. If the Aims of the application are achieved, CADx will be advanced technologically and will become more clinically acceptable to radiologists: once clinical benefit of CADx is demonstrated, CADx will become an important new clinical tool for breast cancer detection and diagnosis. PUBLIC HEALTH RELEVANCE: The goal of this project is to develop innovative approaches to computer-aided diagnosis (CADx) of breast calcifications for breast cancer detection and diagnosis. This project will address significant limitations of current CADx technique with the objective of advancing CADx to become a clinical tool for breast cancer detection and diagnosis.
描述(由申请人提供):该申请的广泛、长期目标是通过早期检测和准确诊断来减轻乳腺癌的疾病负担,从而实现有效的治疗。该项目的目标是开发乳腺钙化的计算机辅助诊断 (CADx) 创新方法,以检测和诊断乳腺癌。我们小组的其他研究人员正在结合该项目单独开发乳腺肿块的 CADx,因为乳腺肿块的诊断检查除了乳房 X 线摄影之外还需要多模态成像(超声和 MRI)。我们将检验乳房钙化 CADx 有助于改善乳腺癌检测和诊断的假设。该项目的具体目标是:(1)减少或消除放射科医生之间和放射科医生内部与计算机交互的差异对计算机分类的影响; (2)研究放大乳房X线照片的计算机分类; (3) 研究并减少多视图中病变分类的计算机变异性; (4) 研究 CADx 的潜在益处,以增强计算机辅助检测 (CADe) 在筛查乳房 X 光检查中的有效性。研究设计将旨在了解已确定来源的计算中计算机变异性的机制,开发新技术以最大限度地减少计算机计算变异性,为新的 CADx 应用程序开发新技术,并进行观察者性能研究以表明 CADx 可以潜在地增强 CADe 的有效性。使用的方法包括计算机图像分析、统计分类器、ROC 分析、统计比较和观察者表现研究。追求这些目标的理由包括,基于我们已证明的 CADx 技术的高性能和计划的 CADx 临床前和临床评估,预计需要解决 CADx 的关键临床接受问题,以及 CADx 的潜在新颖应用以增强 CADe 有效性的新机会。我们将使用的技术要么在之前的调查中得到证实,要么基于理论研究,或者基于我们与放射科医生合作开发 CADx 技术的观察。本申请中描述的研究的重要性和健康相关性在于,它将解决当前 CADx 技术的重大局限性,这些局限性可能会阻碍 CADx 的临床接受,并将解决 CADx 的创新潜力,以增强 CADe 在乳腺癌检测中的有效性。如果应用的目标得以实现,CADx将在技术上更加先进,并且将在临床上更容易被放射科医生所接受:一旦CADx的临床益处得到证实,CADx将成为乳腺癌检测和诊断的重要新临床工具。公共健康相关性:该项目的目标是开发乳腺钙化的计算机辅助诊断 (CADx) 创新方法,以检测和诊断乳腺癌。该项目将解决当前 CADx 技术的重大局限性,目标是使 CADx 成为乳腺癌检测和诊断的临床工具。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Yulei Jiang其他文献
Yulei Jiang的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Yulei Jiang', 18)}}的其他基金
Developing a PET Volumetric Staging System for NSCLC: a Complement to TNM Staging
开发 NSCLC 的 PET 容积分期系统:TNM 分期的补充
- 批准号:
8758482 - 财政年份:2014
- 资助金额:
$ 30.4万 - 项目类别:
Developing a PET Volumetric Staging System for NSCLC: a Complement to TNM Staging
开发 NSCLC 的 PET 容积分期系统:TNM 分期的补充
- 批准号:
8930933 - 财政年份:2014
- 资助金额:
$ 30.4万 - 项目类别:
Computer-Aided Analysis of Histopathology Images of Prostate Cancer
前列腺癌组织病理学图像的计算机辅助分析
- 批准号:
7258106 - 财政年份:2007
- 资助金额:
$ 30.4万 - 项目类别:
Computer-Aided Analysis of Histopathology Images of Prostate Cancer
前列腺癌组织病理学图像的计算机辅助分析
- 批准号:
7446099 - 财政年份:2007
- 资助金额:
$ 30.4万 - 项目类别:
Neural Network Prediction of Prostate Cancer Progression
前列腺癌进展的神经网络预测
- 批准号:
6603799 - 财政年份:2002
- 资助金额:
$ 30.4万 - 项目类别:
Computer-Aided Diagnosis of Breast Lesions in Mammograms
乳房 X 光检查中乳腺病变的计算机辅助诊断
- 批准号:
7842671 - 财政年份:2002
- 资助金额:
$ 30.4万 - 项目类别:
Computer-Aided Diagnosis of Breast Lesions in Mammograms
乳房 X 光检查中乳腺病变的计算机辅助诊断
- 批准号:
6477760 - 财政年份:2002
- 资助金额:
$ 30.4万 - 项目类别:
Computer-Aided Diagnosis of Breast Lesions in Mammograms
乳房 X 光检查中乳腺病变的计算机辅助诊断
- 批准号:
7027000 - 财政年份:2002
- 资助金额:
$ 30.4万 - 项目类别:
Computer-Aided Diagnosis of Breast Lesions in Mammograms
乳房 X 光检查中乳腺病变的计算机辅助诊断
- 批准号:
8507606 - 财政年份:2002
- 资助金额:
$ 30.4万 - 项目类别:
Computer-Aided Diagnosis of Breast Lesions in Mammograms
乳房 X 光检查中乳腺病变的计算机辅助诊断
- 批准号:
7580691 - 财政年份:2002
- 资助金额:
$ 30.4万 - 项目类别:
相似海外基金
Multi-modal Liquid Biopsy Early Assessment of Breast Cancer, Pancreatic Cancer, and Multiple Myeloma
乳腺癌、胰腺癌和多发性骨髓瘤的多模式液体活检早期评估
- 批准号:
10763336 - 财政年份:2023
- 资助金额:
$ 30.4万 - 项目类别:
Development of the new breast biopsy technique using pseudo tomosynthesis image aimed for the accuracy improvement based on the artificial intelligence
开发利用伪断层合成图像的新型乳腺活检技术,旨在基于人工智能提高准确性
- 批准号:
23K17230 - 财政年份:2023
- 资助金额:
$ 30.4万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
A Liquid-Biopsy Informed Platform Trial to Evaluate Treatment in CDK4/6-Inhibitor Resistant ER+/HER2- Metastatic Breast Cancer
液体活检知情平台试验,用于评估 CDK4/6 抑制剂耐药 ER/HER2 转移性乳腺癌的治疗
- 批准号:
462212 - 财政年份:2022
- 资助金额:
$ 30.4万 - 项目类别:
Operating Grants
Sentinel Lymph Node Biopsy after Neoadjuvant Chemotherapy in Patients Presenting with Locally Advanced Breast Cancer: A Prospective Study
局部晚期乳腺癌患者新辅助化疗后前哨淋巴结活检:一项前瞻性研究
- 批准号:
10656553 - 财政年份:2022
- 资助金额:
$ 30.4万 - 项目类别:
Using a Liquid Biopsy to Optimize Metastatic Breast Cancer Treatment
使用液体活检优化转移性乳腺癌治疗
- 批准号:
468409 - 财政年份:2022
- 资助金额:
$ 30.4万 - 项目类别:
Operating Grants
Development of a Liquid Biopsy for Early Breast Cancer Detection
开发用于早期乳腺癌检测的液体活检
- 批准号:
468110 - 财政年份:2022
- 资助金额:
$ 30.4万 - 项目类别:
Operating Grants
Novel Ultrasound Based Viscoelasticity Imaging Tool to Reduce Invasive Breast Lesion Biopsy Rate
新型超声粘弹性成像工具可降低乳腺浸润性病变活检率
- 批准号:
10603447 - 财政年份:2022
- 资助金额:
$ 30.4万 - 项目类别:
Development of an ultrasound detectable, migration-resistant biopsy marker for improving care in patients with breast cancer
开发超声波可检测、抗迁移的活检标记物,以改善乳腺癌患者的护理
- 批准号:
10585262 - 财政年份:2022
- 资助金额:
$ 30.4万 - 项目类别:
Sentinel Lymph Node Biopsy after Neoadjuvant Chemotherapy in Patients Presenting with Locally Advanced Breast Cancer: A Prospective Study
局部晚期乳腺癌患者新辅助化疗后前哨淋巴结活检:一项前瞻性研究
- 批准号:
10502586 - 财政年份:2022
- 资助金额:
$ 30.4万 - 项目类别:
L2M NSERC - A liquid biopsy blood test for breast cancer detection
L2M NSERC - 用于乳腺癌检测的液体活检血液测试
- 批准号:
576550-2022 - 财政年份:2022
- 资助金额:
$ 30.4万 - 项目类别:
Idea to Innovation