There is a need for accurate and rapid detection of renal cancer in clinic. Here, we integrated photoacoustic tomography (PAT) with ultrasound imaging in a single system, which achieved tissue imaging depth about 3 mm and imaging speed about 3.5 cm²/min. We used the wavelength at 1197 nm to map lipid distribution in normal renal tissues and clear cell renal cell carcinoma (ccRCC) tissues collected from 19 patients undergone nephrectomy. Our results indicated that the photoacoustic signal from lipids was significantly higher in ccRCC tissues than that in normal tissues. Moreover, based on the quantification of lipid area ratio, we were able to differentiate normal and ccRCC with 100 % sensitivity, 80 % specificity, and area under receiver operating characteristic curve of 0.95. Our findings demonstrate that multimodal PAT can differentiate normal and ccRCC by integrating the morphologic information from ultrasound and lipid amount information from vibrational PAT.

在临床中需要准确和快速地检测肾癌。在这里，我们将光声层析成像（PAT）与超声成像集成在单个系统中，从而实现了约3 mm的组织成像深度和约3.5 cm ^2的成像速度/分钟。我们使用1197 nm处的波长绘制正常肾脏组织和从19例接受肾切除术的患者收集的透明细胞肾细胞癌（ccRCC）组织中的脂质分布图。我们的结果表明，ccRCC组织中来自脂质的光声信号显着高于正常组织。此外，基于脂质面积比的定量，我们能够区分正常和ccRCC，灵敏度为100％，特异性为80％，受体工作特征曲线下的面积为0.95。我们的发现表明，多峰PAT可通过整合超声的形态学信息和振动PAT的脂质量信息来区分正常和ccRCC。