Computerized detection and analysis of cancer chemotherapy-induced emesis in a small animal model, musk shrew

利用计算机技术检测和分析小型动物模型(麝鼩)中癌症化疗引起的呕吐

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Abstract

Vomiting is a common side effect of cancer chemotherapy and many drug treatments and diseases. In animal studies, the measurement of vomiting usually requires direct observation, which is time consuming and often lacks temporal precision. Musk shrews have been used to study the neurobiology of emesis and have a rapid emetic episode (∼1 s for a sequence of retching and expulsion). The aim of the current study was to develop a method to automatically detect and characterize emetic episodes induced by the cancer chemotherapy agent cisplatin. The body contour in each video frame was tracked and normalized to a parameterized shape basis. The tracked shape was projected to a feature space that maximized the shape variations in the consecutive frames during retching. The resulting one dimensional projection was sufficient to detect most emetic episodes in the acute (peak at 2h) and delayed (peak at 54 h) phases after cisplatin treatment. Emetic episodes were relatively invariant in the number of retches (∼6.2), duration (∼1.2s), inter-retch interval (∼198 ms), and amplitude during the 72 h after cisplatin treatment. This approach should open a new vista into emesis research to permit tracking and analysis of emesis in a small animal model and facilitate the development of new antiemetic therapies. These results also yield a better understanding of the brain's central pattern generator for emesis and indicate that the retching response in the musk shrew (at ∼5.4 Hz) is the fastest ever recorded in a free-moving animal.

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