Li Xiaoqi, Heldermon Coy D, Yao Lei, Xi Lei, Jiang Huabei
Department of Biomedical Engineering, University of Florida, Gainesville, Florida 32611.
Department of Medicine, University of Florida, Gainesville, Florida 32611.
Med Phys. 2015 Sep;42(9):5321-8. doi: 10.1118/1.4928598.
To evaluate the feasibility of functional photoacoustic tomography (fPAT) for high resolution detection and characterization of breast cancer and to demonstrate for the first time quantitative hemoglobin concentration and oxygen saturation images of breasts that were formed with model-based reconstruction of tomographic photoacoustic data.
The study was HIPAA compliant and was approved by the university institutional review board. Written informed consents were obtained from all the participants. Ten cases, including six cancer and four healthy (mean age = 50 yr; age range = 41-66 yr), were examined. Functional images of breast tissue including absolute total hemoglobin concentration (HbT) and oxygen saturation (StO2%) were obtained by fPAT and cross validated with magnetic resonance imaging (MRI) readings and/or histopathology.
HbT and StO2% maps from all six pathology-confirmed cancer cases (60%) show clear detection of tumor, while MR images indicate clear detection of tumor for five of six cancer cases; one small tumor was read as near-complete-resolution by MRI. The average HbT and StO2% value of suspicious lesion area for the cancer cases was 61.6 ± 18.9 μM/l and 67.5% ± 5.2% compared to 25.6 ± 7.4 μM/l and 65.2% ± 3.8% for background normal tissue.
fPAT has the potential to be a significant add-on in breast cancer detection and characterization as it provides submillimeter resolution functional images of breast lesions.
评估功能光声断层成像（fPAT）用于乳腺癌高分辨率检测和特征分析的可行性，并首次展示基于断层光声数据模型重建生成的乳房血红蛋白浓度和氧饱和度定量图像。
本研究符合健康保险流通与责任法案（HIPAA）要求，并获得大学机构审查委员会批准。所有参与者均签署了书面知情同意书。对10例受试者进行了检查，其中包括6例癌症患者和4例健康受试者（平均年龄 = 50岁；年龄范围 = 41 - 66岁）。通过fPAT获得乳房组织的功能图像，包括绝对总血红蛋白浓度（HbT）和氧饱和度（StO2%），并与磁共振成像（MRI）读数和/或组织病理学结果进行交叉验证。
所有6例经病理证实的癌症病例（60%）的HbT和StO2%图谱均清晰显示出肿瘤，而MRI图像显示6例癌症病例中有5例能清晰检测到肿瘤；1例小肿瘤在MRI检查中被判定为接近完全分辨率。癌症病例中可疑病变区域的平均HbT和StO2%值分别为61.6 ± 18.9 μM/l和67.5% ± 5.2%，而背景正常组织的这两个值分别为25.6 ± 7.4 μM/l和65.2% ± 3.8%。
fPAT有潜力成为乳腺癌检测和特征分析的重要辅助手段，因为它能提供亚毫米分辨率的乳房病变功能图像。
