Co-registered photoacoustic and ultrasound imaging for non-invasive ovarian can
Co-registered photoacoustic and ultrasound imaging for non-invasive ovarian can
批准号:
9378003
负责人:
Molly A Brewer
金额:
$31.64万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-07-01 至 2019-01-31
中文摘要
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英文摘要
Co-registered photoacoustic and ultrasound imaging for non-invasive ovarian cancer detection
and characterization
Abstract
We propose to develop a new transvaginal imaging device using co-registered photoacoustic and
ultrasound technique for dual-modality non-invasive detection and characterization of ovarian cancer
and abnormality in situ. The photoacoustic technique provides optical contrast of tumor angiogenesis
and tumor hypoxia with ultrasound (US) resolution for deeply seated lesions of up to 3-4 cm. The
ability to image early angiogenesis changes as well as tumor hypoxia in the ovary with this non-invasive
imaging modality would greatly enhance the care for women at risk for ovarian cancer.
Data obtained from our ex vivo imaging of normal, abnormal and malignant ovarian tissue have
demonstrated that there is a significantly different angiogenic formation when malignant cancers and
abnormal ovarian tissues are compared to normal ovarian tissues. We have developed a prototype co-
registered photoacoustic and US system, which allows us to validate the hypothesis that this new
imaging device will improve the current clinical practice for non-invasive diagnosis of early stage
ovarian cancers and ovarian abnormality and will guide surgical intervention of high-risk ovarian cancer
patients.
In this proposal, we will 1) develop a transvaginal photoacoustic/US probe and system suitable for
in vivo dual-modality non-invasive detection and characterization of the ovary; 2) characterize normal,
abnormal and cancerous ovarian tissue ex vivo by comparing imaging results with histopathology and
microvessel density counts and distributions as well as average optical absorption; 3) evaluate the
prototype probe for in vivo imaging of patients who are scheduled for prophylactic oophorectomy; 4)
monitor a group of high-risk premenopausal women during their menstrual cycles to determine the
cyclic changes in functional and morphological parameters that may differ from angiogenesis changes
associated with the malignant process. Approximately 60 patients will be recruited for the ex vivo
study in Aim 2, which will allow us to validate the initial sensitivity and specificity of the proposed
technique. Approximately 40 patients will be recruited for the in vivo study in Aim 3, which will allow us
to evaluate the technique and validate the ex vivo results. Approximately 20 to 25 premenopausal high-
risk patients will be recruited for the in vivo study in Aim 4, which will allow us to assess the efficacy of
this new technique within a premenopausal population.
The successful completion of the project will provide a means to improve the current clinical
practice: it will provide necessary technology to improve the ability to determine if a cancer is present
and to avoid surgery in a substantial number of women.
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DOI:
10.1364/boe.4.002763
发表时间:
2013-12
期刊:
Biomedical optics express
影响因子:
3.4
作者:
[Tianheng Wang;Yi Yang;Umar S. Alqasemi;P. Kumavor;Xiaohong Wang;M. Sanders;M. Brewer;Quing Zhu]
通讯作者:
Tianheng Wang;Yi Yang;Umar S. Alqasemi;P. Kumavor;Xiaohong Wang;M. Sanders;M. Brewer;Quing Zhu
DOI:
10.1002/jbio.202000368
发表时间:
2021-04
期刊:
Journal of biophotonics
影响因子:
2.8
作者:
[Amidi E, Yang G, Uddin KMS, Luo H, Middleton W, Powell M, Siegel C, Zhu Q]
通讯作者:
Zhu Q
DOI:
10.1002/jbio.201900115
发表时间:
2019-11
期刊:
Journal of biophotonics
影响因子:
2.8
作者:
[Zeng Y, Nandy S, Rao B, Li S, Hagemann AR, Kuroki LK, McCourt C, Mutch DG, Powell MA, Hagemann IS, Zhu Q]
通讯作者:
Zhu Q
DOI:
10.1364/boe.3.001548
发表时间:
2012-07-01
期刊:
Biomedical optics express
影响因子:
3.4
作者:
[Yang Y, Wang T, Wang X, Sanders M, Brewer M, Zhu Q]
通讯作者:
Zhu Q
Rectal Cancer Treatment Management: Deep-Learning Neural Network Based on Photoacoustic Microscopy Image Outperforms Histogram-Feature-Based Classification.
直肠癌治疗管理:基于光声显微镜图像的深度学习神经网络优于基于直方图 - 特征分类。
DOI:
10.3389/fonc.2021.715332
发表时间:
2021
期刊:
Frontiers in oncology
影响因子:
4.7
作者:
[Leng X, Amidi E, Kou S, Cheema H, Otegbeye E, Chapman WJ, Mutch M, Zhu Q]
通讯作者:
Zhu Q
共 15 条
Co-registered photoacoustic and ultrasound imaging for non-invasive ovarian can
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批准号:8657876
-
项目类别:
-
资助金额:$31.44万
-
财政年份:2011
-
负责人:Molly A Brewer
-
依托单位:
Co-registered photoacoustic and ultrasound imaging for non-invasive ovarian can
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批准号:8292999
-
项目类别:
-
资助金额:$32.35万
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财政年份:2011
-
负责人:Molly A Brewer
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依托单位:
Co-registered photoacoustic and ultrasound imaging for non-invasive ovarian can
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批准号:8187322
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项目类别:
-
资助金额:$33.78万
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财政年份:2011
-
负责人:Molly A Brewer
-
依托单位:
Co-registered photoacoustic and ultrasound imaging for non-invasive ovarian can
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批准号:8469743
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项目类别:
-
资助金额:$30.45万
-
财政年份:2011
-
负责人:Molly A Brewer
-
依托单位:
Co-registered photoacoustic and ultrasound imaging for non-invasive ovarian can
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批准号:8848686
-
项目类别:
-
资助金额:$0.77万
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财政年份:2011
-
负责人:Molly A Brewer
-
依托单位:
Advances in Optics for Biotechnology, Medicine & Surgery
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批准号:6700041
-
项目类别:
-
资助金额:$2.0万
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财政年份:2003
-
负责人:Molly A Brewer
-
依托单位:
海外基金