SAVSNET_TR.csv

This dataset is part of a paper that describes the first veterinary tumour registry (TR) built from electronic pathology records (EPR) submitted to the Small Animal Veterinary Surveillance Network (SAVSNET). It was created from an original collection of 180,232 free text (non-structured) cytology and histopathology EPRs reported between April 2018 and June 2019 by using a specific text-mining methodology to identify 109,895 neoplasias. These data were normalized to describe both the tumour (type and location) and the animal (breed, neutering status and veterinary practice postcode). The resulting TR is the largest of its kind for companion animals to date. The TR is being used to confirm risk factors for several tumour types and identify new ones in such a way that this data set can facilitate a wide array of research in areas including surveillance, clinical decision making and comparative cancer biology.本数据集隶属于一篇学术论文，该论文描述了首个基于提交至小动物兽医监测网络（Small Animal Veterinary Surveillance Network, SAVSNET）的电子病理记录（electronic pathology records, EPR）构建的兽医肿瘤登记库（veterinary tumour registry, TR）。该数据集源自2018年4月至2019年6月期间上报的180,232条自由文本（非结构化）细胞学（cytology）与组织病理学（histopathology）电子病理记录，研究团队通过特定文本挖掘方法从中识别出109,895例肿瘤（neoplasias）。研究人员对上述数据开展标准化处理，以同时描述肿瘤的类型与位置，以及受试动物的品种、绝育状态与兽医诊所邮政编码。最终构建的兽医肿瘤登记库是迄今为止同类伴侣动物肿瘤登记库中规模最大的。该登记库目前被用于验证多种肿瘤类型的风险因子并识别新型风险因子，其数据集可助力监测、临床决策制定以及比较肿瘤生物学等多个领域的广泛研究。