Liu Yakun, Xiao Wen, Zhang Huanzhi, Xin Lu, Li Xiaoping, Pan Feng
Key Laboratory of Precision Opto-mechatronics Technology, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China.
Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China.
Biomed Opt Express. 2022 Jul 27;13(8):4370-4385. doi: 10.1364/BOE.465149. eCollection 2022 Aug 1.
Drug potency assessment plays a crucial role in cancer chemotherapy. The selection of appropriate chemotherapy drugs can reduce the impact on the patient's physical condition and achieve a better therapeutic effect. Various methods have been used to achieve in vitro drug susceptibility assays, but there are few studies on calculating morphology and texture parameters quantitatively based on phase imaging for drug potency assessment. In this study, digital holography microscopy was used to get phase imaging of ovarian cancer cells after adding three different drugs, namely, Cisplatin, Adriamycin, and 5-fluorouracil. Based on the reconstructed phase imaging, four parameters of ovarian cancer cells changed with time, such as the average height, projected area, cluster shade, and entropy, were calculated. And the half-inhibitory concentration of cells under the effect of different drugs was calculated according to these four parameters. The half-inhibitory concentration, which can directly reflect the drug potency, is associated with the morphological and texture features extracted from phase images by numerical fitting. So, a new method for calculating the half-inhibitory concentration was proposed. The result shows that the morphological and texture feature parameters can be used to evaluate the sensitivity of ovarian cancer cells to different drugs by fitting the half-inhibitory concentration numerically. And the result provides a new idea for drug potency assessment methods before chemotherapy for ovarian cancer.
药物效价评估在癌症化疗中起着至关重要的作用。选择合适的化疗药物可以减少对患者身体状况的影响，并取得更好的治疗效果。已经使用了各种方法来进行体外药敏试验，但基于相位成像定量计算形态和纹理参数用于药物效价评估的研究很少。在本研究中，使用数字全息显微镜对添加顺铂、阿霉素和5-氟尿嘧啶三种不同药物后的卵巢癌细胞进行相位成像。基于重建的相位成像，计算了卵巢癌细胞的四个随时间变化的参数，如平均高度、投影面积、聚类阴影和熵。并根据这四个参数计算了不同药物作用下细胞的半数抑制浓度。半数抑制浓度可直接反映药物效价，它与通过数值拟合从相位图像中提取的形态和纹理特征相关。因此，提出了一种计算半数抑制浓度的新方法。结果表明，通过对半数抑制浓度进行数值拟合，形态和纹理特征参数可用于评估卵巢癌细胞对不同药物的敏感性。该结果为卵巢癌化疗前的药物效价评估方法提供了新思路。
