Prostate cancer affects 1 in 6 men in the USA. Every man over the age of 45 is at risk for prostate cancer. Systematic transrectal ultrasound (TRUS)-guided biopsy is the standard method for a definitive diagnosis of prostate cancer. More than 1.2 million prostate biopsies are performed annually and the medical cost is more than two billion dollars each year. However, this technique has a significant sampling error and is characterized by low sensitivity (39-52%). This """"""""blind"""""""" biopsy approach can miss 30% of prostate cancers. As a negative biopsy does not preclude the possibility of a missed cancer, both the physicians and patients face challenges in making treatment decisions. Due to the increasing number of younger men with potentially early and curable prostate cancer, this problem must be addressed in order to improve cancer detection rate. At our NIH/NCI-supported Emory Molecular and Translational Imaging Center, positron emission tomography (PET) with a new molecular imaging tracer FACBC has shown very promising results for prostate cancer detection in human patients. We hypothesize that FACBC PET molecular images can be incorporated into ultrasound-guided biopsy for improved cancer detection. The proposed research is to develop a molecular image-directed, 3D ultrasound-guided system for targeted biopsy of the prostate.
Specific Aim 1 : To modify a real-time, mechanically assisted, 3D ultrasound-guided device. Compared to conventional 2D image guidance, 3D images of the prostate will be used to guide the biopsy.
Specific Aim 2 : To develop fast deformable and statistical appearance model based segmentation methods for 3D ultrasound images of the prostate. Statistical shape models will be developed from our database and will be used to guide automatic segmentation of the prostate.
Specific Aim 3 : To combine FACBC molecular images with 3D ultrasound for targeted biopsy. New deformable image registration methods based joint saliency map and fuzzy point correspondence will be developed in order to solve major limitations of mutual information based image registration.
Specific Aim 4 : To test the accuracy of the integrated biopsy system in phantoms and animals. The complete biopsy system will also be tested in a small number of human patients. Our FACBC patient studies are supported by the NIH-sponsored imaging center program (P50CA128301) and by the Phase II Clinical Trial (NCT00562315). The mechanically assisted device has received the FDA 510K approval. The proposed study will promote the academic-industrial collaboration (Emory University, Robarts Research Institute of the University of Western Ontario, and Eigen Inc., Grass Valley, CA). If completely developed, the multimodality molecular image-guided system will be able to be used not only for biopsy but also for brachytherapy, radiofrequency thermal ablation, cryotherapy, and photodynamic therapy.

Public Health Relevance

The research could improve prostate cancer detection by using novel molecular imaging technology and by using a new three-dimensional image-guided biopsy device. The molecular image-guided system can be used not only for improved biopsy of diseases but also for minimally invasive therapy of cancers.

National Institute of Health (NIH)
National Cancer Institute (NCI)
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Biomedical Imaging Technology Study Section (BMIT)
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Tandon, Pushpa
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Emory University
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Dormer, James; Qin, Xulei; Shen, Ming et al. (2016) Determining Cardiac Fiber Orientation Using FSL and Registered Ultrasound/DTI volumes. Proc SPIE Int Soc Opt Eng 9790:
Lu, Guolan; Qin, Xulei; Wang, Dongsheng et al. (2016) Quantitative Diagnosis of Tongue Cancer from Histological Images in an Animal Model. Proc SPIE Int Soc Opt Eng 9791:
Pike, Robert; Lu, Guolan; Wang, Dongsheng et al. (2016) A Minimum Spanning Forest-Based Method for Noninvasive Cancer Detection With Hyperspectral Imaging. IEEE Trans Biomed Eng 63:653-63
Liu, Lizhi; Tian, Zhiqiang; Zhang, Zhenfeng et al. (2016) Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications. Acad Radiol 23:1024-46
Lu, Guolan; Qin, Xulei; Wang, Dongsheng et al. (2016) Hyperspectral Imaging of Neoplastic Progression in a Mouse Model of Oral Carcinogenesis. Proc SPIE Int Soc Opt Eng 9788:
Tian, Zhiqiang; Liu, Lizhi; Zhang, Zhenfeng et al. (2016) Superpixel-Based Segmentation for 3D Prostate MR Images. IEEE Trans Med Imaging 35:791-801
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:
Ma, Ling; Guo, Rongrong; Tian, Zhiqiang et al. (2016) Combining Population and Patient-Specific Characteristics for Prostate Segmentation on 3D CT Images. Proc SPIE Int Soc Opt Eng 9784:
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:
Qin, Xulei; Wang, Silun; Shen, Ming et al. (2015) Register cardiac fiber orientations from 3D DTI volume to 2D ultrasound image of rat hearts. Proc SPIE Int Soc Opt Eng 9415:

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