DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.

Examination of pathological images is the golden standard for diagnosing and screening many kinds of cancers. Multiple datasets, benchmarks, and challenges have been released in recent years, resulting in significant improvements in computer-aided diagnosis (CAD) of related diseases. However, few existing works focus on the digestive system. We released two well-annotated benchmark datasets and organized challenges for the digestive-system pathological cell detection and tissue segmentation, in conjunction with the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). This paper first introduces the two released datasets, i.e., signet ring cell detection and colonoscopy tissue segmentation, with the descriptions of data collection, annotation, and potential uses. We also report the set-up, evaluation metrics, and top-performing methods and results of two challenge tasks for cell detection and tissue segmentation. In particular, the challenge received 234 effective submissions from 32 participating teams, where top-performing teams developed advancing approaches and tools for the CAD of digestive pathology. To the best of our knowledge, these are the first released publicly available datasets with corresponding challenges for the digestive-system pathological detection and segmentation. The related datasets and results provide new opportunities for the research and application of digestive pathology.

Application of Holistic Nursing in Uremic Patients with Hematodialysis Related Malnutrition.

BACKGROUND: We aimed to observe the effect of holistic nursing on patients undergoing hematodialysis for uremia who simultaneously were suffering from moderate to severe malnutrition. METHODS: Eighty patients with uremia on maintenance hematodialysis with malnutrition between June 2014 and June 2015 from Yantaishan Hospital, Yantai, Shandong, China were included and equally and randomly were divided into the control group (n=43) and observation group (n=43). Routine nursing was used in the control group while holistic nursing was used in observation group (before, during and after dialysis) and the clinical effects in the two groups were compared after 3 months. RESULTS: At follow-up visits, serum creatinine and urea nitrogen levels of the patients in the two groups were decreased, whereas hemoglobin and albumin levels were increased. In addition, these improvements were greater in the observation group and the differences were statistically significant (P<0.05). Furthermore, during follow-up visits, MQSGA and MIS scores of the two groups were lower and the scores of the observation group were lower than those in the control group were, and the differences were statistically significant (P<0.05). CONCLUSION: Holistic nursing is able to improve significantly malnutrition in patients with uremia on hematodialysis.