Biomedical Ultrasonic and Optical Imaging Laboratory, Electrical and Computer Engineering Department, University of Connecticut, Storrs, CT, USA.
Transl Oncol. 2011 Feb 1;4(1):29-37. doi: 10.1593/tlo.10187.
Currently, there is no adequate technology to detect early stage ovarian cancers. Most of the cancers in the ovary are detected when the cancer has already metastasized to other parts of the body. As a result, ovarian cancer has the highest mortality of all gynecologic cancers with a 5-year survival rate of 30% or less. Thus, there is an urgent need to improve the current diagnostic techniques. Photoacoustic imaging (PAI) is an emerging modality with a great potential to assist ultrasound for detecting ovarian cancer noninvasively. In this article, we report the first study of coregistered ultrasound and PAI of 33 ex vivo human ovaries. An assessment of the photoacoustic images has revealed light absorption distribution in the ovary, which is directly related to the vasculature distribution and amount. Quantification of the light absorption levels in the ovary has indicated that, in the postmenopausal group, malignant ovaries showed significantly higher light absorption than normal ones (P = .0237). For these two groups, we have obtained a sensitivity of 83% and a specificity of 83%. This result suggests that PAI is a promising modality for improving ultrasound diagnosis of ovarian cancer.
目前,尚无足够的技术可以检测早期卵巢癌。大多数卵巢癌在癌症已经转移到身体其他部位时才被发现。因此,卵巢癌是妇科癌症中死亡率最高的癌症,其 5 年生存率为 30%或更低。因此,迫切需要改进现有的诊断技术。光声成像是一种新兴的模式,具有很大的潜力可以辅助超声进行无创性卵巢癌检测。在本文中,我们报告了 33 个人体卵巢离体的超声和光声图像配准的首次研究。对光声图像的评估揭示了卵巢中的光吸收分布,这与血管分布和数量直接相关。对卵巢中光吸收水平的定量表明,在绝经后组中,恶性卵巢的光吸收明显高于正常卵巢(P=0.0237)。对于这两组,我们获得了 83%的灵敏度和 83%的特异性。该结果表明,光声成像有望提高超声诊断卵巢癌的效果。