Development and application of new imaging technologies for the discovery of biomarkers of inflammatory arthritic disease onset, progression, and response to therapy are of broad interest and are common goals of physicians, medical researchers and scientific entities such as the NIH. Presenting high resolution optical information in soft tissues with imaging depth up to several centimeters, innovative spectroscopic photoacoustic tomography (SPAT) offers significant benefits to the diagnosis and treatment of inflammatory arthritis, particularly in combination with more established ultrasound imaging (US). SPAT, in addition to capturing peripheral bone and soft tissue images, has the unique capability to quantify tissue hemodynamic properties including regional blood oxygenation and blood volume, both abnormal in synovial tissue associated with inflammatory arthritis. Therefore, findings from SPAT should lead to creation of new direct and sensitive tissue-specific biomarkers, and may have revolutionary impact on clinical management of arthritis. Based on our past validation in animals and human cadaver joints, this physiological imaging modality will be adapted to human inflammatory arthritis for the first time in the proposed research. Through collaboration with the NIH Ultrasonic Transducer Resource Center, we will develop a specially designed SPAT and US dual-modality system employing the state-of-the-art ultrasonic imaging and transducer development technologies. This system will enable simultaneous SPAT and US imaging of human peripheral joints in real-time. Moreover, it can present physicians with both optical and ultrasonic contrast as well as tissue physiological information. Through the experiments on normal volunteers and rheumatoid arthritis patients, we will examine the performance of SPAT and US in imaging the articular tissue structures of peripheral joints and their ability in visualizing morphological biomarkers of rheumatoid arthritis. More interestingly, we will explore the potential of SPAT in assessing new physiological biomarkers of synovitis including hyperemia and hypoxia. We expect that, with sensitivity and specificity comparable to MRI but without using a contrast agent, this cost-effective imaging may provide unique opportunities for arthritis, including pre-diagnosis, identification of initial natural disease sequelae and progression, along with monitoring of non-pharmaceutical and pharmaceutical based interventions.
The objective of this research is to adapt innovative functional photoacoustic imaging integrated with state-of-the-art ultrasound technologies to human inflammatory arthritis, and to find novel physiological biomarkers of arthritic disease onset, progression, and response to therapy that could be evaluated with the revolutionary dual-modality imaging modality.
|Keswani, Rahul K; Tian, Chao; Peryea, Tyler et al. (2016) Repositioning Clofazimine as a Macrophage-Targeting Photoacoustic Contrast Agent. Sci Rep 6:23528|
|Lei, Hao; Johnson, Laura A; Liu, Shengchun et al. (2016) Characterizing intestinal inflammation and fibrosis in Crohn's disease by photoacoustic imaging: feasibility study. Biomed Opt Express 7:2837-48|
|Xu, Guan; Meng, Zhuo-Xian; Lin, Jian-Die et al. (2016) High resolution Physio-chemical Tissue Analysis: Towards Non-invasive In Vivo Biopsy. Sci Rep 6:16937|
|Feng, Ting; Li, Qiaochu; Zhang, Cheng et al. (2016) Characterizing cellular morphology by photoacoustic spectrum analysis with an ultra-broadband optical ultrasonic detector. Opt Express 24:19853-62|
|Tian, Chao; Qian, Wei; Shao, Xia et al. (2016) Plasmonic Nanoparticles with Quantitatively Controlled Bioconjugation for Photoacoustic Imaging of Live Cancer Cells. Adv Sci (Weinh) 3:1600237|
|Tian, Chao; Xie, Zhixing; Fabiilli, Mario L et al. (2015) Imaging and sensing based on dual-pulse nonlinear photoacoustic contrast: a preliminary study on fatty liver. Opt Lett 40:2253-6|
|Tian, Chao; Xie, Zhixing; Fabiilli, Mario L et al. (2015) Dual-pulse nonlinear photoacoustic technique: a practical investigation. Biomed Opt Express 6:2923-33|
|Feng, Ting; Perosky, Joseph E; Kozloff, Kenneth M et al. (2015) Characterization of bone microstructure using photoacoustic spectrum analysis. Opt Express 23:25217-24|
|Xu, Guan; Fowlkes, J Brian; Tao, Chao et al. (2015) Photoacoustic spectrum analysis for microstructure characterization in biological tissue: analytical model. Ultrasound Med Biol 41:1473-80|
|Xu, Guan; Davis, Mandy C; Siddiqui, Javed et al. (2015) Quantifying Gleason scores with photoacoustic spectral analysis: feasibility study with human tissues. Biomed Opt Express 6:4781-9|
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