Prostate cancer is the second leading cause of cancer mortality in American men. The long-term objective of this research is to develop novel multimodality molecular imaging techniques for improved early detection and image-guided therapy for prostate cancer. At our institution, a second generation photosensitizing drug PC 4 has been evaluated for photodynamic therapy (PDT) at the Case Comprehensive Cancer Center. This drug is currently undergoing pre-clinical mechanistic studies and two Phase I clinical trials for the treatment of dermal cancers, including cancers that are metastatic to the skin. Members of this investigating team have already proven the efficacy of PC 4-PDT for the treatment of breast, ovarian, and colon cancer in animal models. In addition, a co-investigator, Dr. Nancy Oleinick found that PC 4-PDT induces apoptosis in prostate cancer cells in vitro. We are now extending this relatively new treatment modality for prostate cancer therapy. In the R21 phase, we will perform in vivo PDT to treat human prostate cancer xenografts in a mouse model. State-of-the-art in vivo molecular imaging techniques will be developed to assess the PDT efficacy. Image fusion and registration of various imaging modalities and quantitative image analysis methods will be developed to combine functional biochemical images with high-resolution anatomic images. An early image-based surrogate biomarker of the tumor response to PDT will be identified to predict the success of the therapy. The noninvasive imaging techniques to be created from this study can be applied to other cancers. They can be used to detect very early cancers, optimize treatment planning for individualized therapy, utilize image-guided minimally invasive therapy, and monitor the therapeutic efficacy. The proposed imaging strategy has great potential to enhance public health by improving diagnosis and therapy of cancer.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21CA120536-02
Application #
7230121
Study Section
Special Emphasis Panel (ZRG1-SBIB-J (01))
Program Officer
Menkens, Anne E
Project Start
2006-04-01
Project End
2009-03-31
Budget Start
2007-04-01
Budget End
2009-03-31
Support Year
2
Fiscal Year
2007
Total Cost
$157,913
Indirect Cost
Name
Case Western Reserve University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
077758407
City
Cleveland
State
OH
Country
United States
Zip Code
44106
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Fei, Baowei; Schuster, David M (2017) PET Molecular Imaging-Directed Biopsy: A Review. AJR Am J Roentgenol 209:255-269
Lu, Guolan; Little, James V; Wang, Xu et al. (2017) Detection of Head and Neck Cancer in Surgical Specimens Using Quantitative Hyperspectral Imaging. Clin Cancer Res 23:5426-5436
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Ma, Ling; Guo, Rongrong; Tian, Zhiqiang et al. (2017) A random walk-based segmentation framework for 3D ultrasound images of the prostate. Med Phys 44:5128-5142
Fei, Baowei (2017) Computer-aided diagnosis of prostate cancer with MRI. Curr Opin Biomed Eng 3:20-27
Tian, Zhiqiang; Liu, Lizhi; Zhang, Zhenfeng et al. (2017) A supervoxel-based segmentation method for prostate MR images. Med Phys 44:558-569
Ma, Ling; Liu, Xiabi; Fei, Baowei (2017) Learning with distribution of optimized features for recognizing common CT imaging signs of lung diseases. Phys Med Biol 62:612-632
Ma, Ling; Guo, Rongrong; Tian, Zhiqiang et al. (2016) Random Walk Based Segmentation for the Prostate on 3D Transrectal Ultrasound Images. Proc SPIE Int Soc Opt Eng 9786:
Chung, Hyunkoo; Lu, Guolan; Tian, Zhiqiang et al. (2016) Superpixel-based spectral classification for the detection of head and neck cancer with hyperspectral imaging. Proc SPIE Int Soc Opt Eng 9788:

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