Utility of Effusion Cytology and Image Analysis in the Diagnosis of Mesothelioma
积液细胞学和图像分析在间皮瘤诊断中的应用
基本信息
- 批准号:9369881
- 负责人:
- 金额:$ 5.52万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-07-01 至 2017-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Mesothelioma is a rare though often fatal disease, often associated with exposure to asbestos. The
differentiation of malignant mesothelioma from benign mesothelial proliferation is often achieved by
assessing tissue invasiveness from histological examination of biopsy specimens. Pleural effusion
(fluid between lung and the chest wall) cytology is often a less invasive procedure that can be made
available in most hospitals. Diagnosis of this malignancy from cytology specimens is often not
possible, given that tissue invasiveness cannot be assessed. Our proposal details a pilot project to be
conducted in collaboration with the System Chair of Pathology and Laboratory Medicine of Western
Pennsylvania Health System (Jan F. Silverman, M.D.), as well as the Anatomic Pathology Medical
Director of the Cleveland Clinic (Tarik M. Elsheikh, M.D.) to test an image analysis approach most
recently developed by Dr. Rohde's laboratory at Carnegie Mellon University (CMU) for cancer
detection directly from pleural effusion cytology. Preliminary results resulting from the application of
Dr. Rohde's methods to data provided by Dr. Silverman (detailed in the application) indicates the
method can potentially be useful for diagnosis of malignant mesothelioma. The objective of the pilot
study would be to test the accuracy of the method developed by Dr. Rohde's laboratory in
differentiating malignant mesothelioma from benign mesothelial proliferation directly from effusion
cytology with a larger cohort of patients from two institutions (WPAHS and CC). If successful, the
completion of the project could have a significant impact in reducing overall costs and avoiding health
risks associated with invasive procedures. The successful completion of this project could also pave
the way for the application of similar techniques on several similar cytopathology diagnostic and
prognostic challenges.
间皮瘤是一种罕见的,但往往致命的疾病,往往与接触石棉。的
恶性间皮瘤与良性间皮瘤增殖的鉴别通常通过
根据活检样本的组织学检查评估组织侵袭性。胸腔积液
(肺和胸壁之间的液体)细胞学检查通常是一种侵入性较小的程序,
在大多数医院都有。从细胞学标本诊断这种恶性肿瘤往往不是
可能,因为无法评估组织侵入性。我们的提案详细说明了一个试点项目,
与西医病理学及检验医学系主任合作进行
宾夕法尼亚州卫生系统(Jan F. Silverman,M.D.),以及解剖病理学医学
克利夫兰诊所主任(Tarik M. Elsheikh,医学博士)测试图像分析方法
最近由卡内基梅隆大学(CMU)的Rohde博士实验室开发的癌症
直接从胸腔积液细胞学检测。应用的初步结果
博士Rohde对Silverman博士提供的数据的方法(在申请中详细说明)表明,
方法可能有助于恶性间皮瘤的诊断。试点的目标
这项研究将测试罗德博士的实验室在1999年开发的方法的准确性。
直接从积液鉴别恶性间皮瘤与良性间皮瘤增生
来自两家机构(WPAHS和CC)的较大患者队列的细胞学检查。如果成功,
该项目的完成可能会对降低总体成本和避免健康问题产生重大影响。
与侵入性手术相关的风险。该项目的成功完成还可以为
介绍了几种相似的细胞病理学诊断方法的应用途径,
预测挑战。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Predictive Nuclear Chromatin Characteristics of Melanoma and Dysplastic Nevi.
黑色素瘤和发育不良痣的预测核染色质特征。
- DOI:10.4103/jpi.jpi_84_16
- 发表时间:2017
- 期刊:
- 影响因子:0
- 作者:Hanna,MatthewG;Liu,Chi;Rohde,GustavoK;Singh,Rajendra
- 通讯作者:Singh,Rajendra
Impact of Altering Various Image Parameters on Human Epidermal Growth Factor Receptor 2 Image Analysis Data Quality.
改变各种图像参数对人表皮生长因子受体 2 图像分析数据质量的影响。
- DOI:10.4103/jpi.jpi_46_17
- 发表时间:2017
- 期刊:
- 影响因子:0
- 作者:Pantanowitz,Liron;Liu,Chi;Huang,Yue;Guo,Huazhang;Rohde,GustavoK
- 通讯作者:Rohde,GustavoK
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Gustavo Kunde Rohde其他文献
Gustavo Kunde Rohde的其他文献
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{{ truncateString('Gustavo Kunde Rohde', 18)}}的其他基金
Transport transforms for biomedical data modeling, estimation, and classification
用于生物医学数据建模、估计和分类的传输转换
- 批准号:
10672626 - 财政年份:2019
- 资助金额:
$ 5.52万 - 项目类别:
Lagrangian computational modeling for biomedical data science
生物医学数据科学的拉格朗日计算模型
- 批准号:
10063532 - 财政年份:2019
- 资助金额:
$ 5.52万 - 项目类别:
Lagrangian computational modeling for biomedical data science
生物医学数据科学的拉格朗日计算模型
- 批准号:
10307595 - 财政年份:2019
- 资助金额:
$ 5.52万 - 项目类别:
Utility of Effusion Cytology and Image Analysis in the Diagnosis of Mesothelioma
积液细胞学和图像分析在间皮瘤诊断中的应用
- 批准号:
8771979 - 财政年份:2014
- 资助金额:
$ 5.52万 - 项目类别:
Utility of Effusion Cytology and Image Analysis in the Diagnosis of Mesothelioma
积液细胞学和图像分析在间皮瘤诊断中的应用
- 批准号:
8883458 - 财政年份:2014
- 资助金额:
$ 5.52万 - 项目类别:
Automated High-Throuput Estimation and Modeling of Protein Network Distributions
蛋白质网络分布的自动高通量估计和建模
- 批准号:
8244428 - 财政年份:2010
- 资助金额:
$ 5.52万 - 项目类别:
Automated High-Throuput Estimation and Modeling of Protein Network Distributions
蛋白质网络分布的自动高通量估计和建模
- 批准号:
8054738 - 财政年份:2010
- 资助金额:
$ 5.52万 - 项目类别:
Automated High-Throuput Estimation and Modeling of Protein Network Distributions
蛋白质网络分布的自动高通量估计和建模
- 批准号:
7899624 - 财政年份:2010
- 资助金额:
$ 5.52万 - 项目类别:
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