Transrectal Imaging of Prostate Cancer Using a Globally Convergent Method

描述（申请人提供）：虽然许多医学成像技术都很先进，但没有简单准确的成像工具来指导前列腺癌的早期发现、组织活检和最佳治疗。需要更多的研究和技术发展来探索可靠和定量的成像手段，以改善前列腺癌的筛查、诊断和预后。本R01提案的总体假设是，可以开发一种新的global Convergent Method结合经直肠多通道光学成像系统，并在体内应用于人类经直肠前列腺癌的检测和诊断。目标1：开发和验证一种全局收敛方法（GCM），以获得具有人类前列腺癌特征的光学参数（包括吸收和散射参数）的二维（2- D）重建图像。目标2：设计、实现和验证一种经直肠、多通道光学成像系统，该系统可用于测量来自人类前列腺的光信号，用于无创或微创前列腺癌诊断或/和筛查。目标3(a)：使用人类前列腺样组织模型对开发的二维GCM进行实验验证，以便探索适当的改进、修改或校准，以提高理论准确性和实验设计。目的3(b)：对前列腺切除术中从患者身上取出的离体人前列腺进行光学成像测量，并与组织学结果进行比较，以验证新开发的二维GCM。目的3(c)：通过在前列腺切除术期间进行人体前列腺测量来验证二维GCM和经直肠成像系统。光学测量将在手术开始时经直肠进行在前列腺被切除之前，然后在同一离体前列腺上再次进行。将体内和离体结果进行比较，并用于改进二维GCM和经直肠成像系统。这个提议的项目是一项可行性研究。我们希望证明GCM是一种直接和快速的成像重建算法，具有成熟的数学基础，导致经济实用的近红外成像仪用于前列腺癌检测。此外，通过将光学层析成像技术与经直肠光学探针的新设计相结合，研究小组有独特的机会获得人类前列腺癌的光学和生理特征，这将有助于正确规划未来具有统计显著数量受试者的试验。长期目标是利用光学衍生的特征作为前列腺癌的指纹，在未来诊断癌症。

DESCRIPTION (provided by applicant): While many technologies for medical imaging are advanced, no simple and accurate imaging tool exists to guide early detection, tissue biopsy and optimal treatment for prostate cancer. More research and technology development are needed to explore reliable and quantitative imaging means for improved prostate cancer screening, diagnosis and prognosis. The overall hypothesis for this R01 proposal is that a novel Globally Convergent Method in combination with a transrectal, multi-channel optical imaging system can be developed and used in vivo for transrectal detection and diagnosis of prostate cancer in human. The Specific Aims are: Aim 1: develop and validate a globally convergent method (GCM) to obtain 2-dimentional (2- D) reconstructed images of optical parameters (both absorption and scattering parameters) that are characteristic of human prostate cancer. Aim 2: design, implement, and validate a transrectal, multi-channel optical imaging system that can be used to measure optical signals from human prostate glands for non-invasive or minimally invasive prostate cancer diagnosis or/and screen. Aim 3(a): experimentally validate the developed 2-D GCM using human prostate-like tissue phantoms so that appropriate refinement, modification, or calibration can be explored to improve both theoretical accuracy and experimental designs. Aim 3(b): perform optical imaging measurements on ex vivo human prostate glands, which are removed from patients during prostatectomy, and compare with histology results to validate the newly developed 2-D GCM. Aim 3(c): validate the 2-D GCM and transrectal imaging system by performing in vivo human prostate measurements during prostatectomy. The optical measurements will be carried out transrectally in the beginning of the surgery before the prostate is removed and then taken again on the same ex vivo prostate gland. Comparison between the in vivo and ex vivo results will be made and utilized for improvement of the 2-D GCM and transrectal imaging system. This proposed project is a feasibility study. We wish to show that the GCM is a direct and fast imaging reconstruction algorithm with proven mathematical foundation, leading to an economic and practical NIR imager for prostate cancer detection. Also, by combining the optical tomographic imaging technique with the novel design of transrectal optical probes, the research team has a unique opportunity to obtain optical and physiological signatures of prostate cancer in human, which will enable proper planning of a future trial with a statistically significant number of subjects. The long-term goal is to utilize optically derived signatures as finger-prints of prostate cancer to diagnose the cancer in the future. PUBLIC HEALTH RELEVANCE: While many technologies for medical imaging are advanced, there is no accurate imaging and diagnostic tool to guide early detection, tissue biopsy and optimal treatment for prostate cancer. More research and technology development are greatly needed for improved prostate cancer screening and prognosis. It would be highly desirable to develop a low-cost, quantitative, transrectal imaging system that allows routine, early, and accurate screen and detection for prostate cancer. The proposed project is a feasibility study to investigate a novel mathematical method that can be used along with a transrectal imaging system for early detection of prostate cancer. The developed mathematical tool will provide two-dimensional, tomographic images for human prostate cancer testing.