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德国兽医界的 DICOM 标准一致性:转诊病例影像研究调查。

DICOM Standard Conformance in Veterinary Medicine in Germany: a Survey of Imaging Studies in Referral Cases.

机构信息

Clinic of Small Animal Surgery and Reproduction, Centre of Veterinary Clinical Medicine, Veterinary Faculty, LMU Munich, Veterinärstrasse 13, D-80539, Munich, Germany.

Veterinary Teaching Hospital, Radiology Section, Department of Veterinary Clinical Sciences, Washington State University, Pullman, WA, 99164-6610, USA.

出版信息

J Digit Imaging. 2018 Feb;31(1):13-18. doi: 10.1007/s10278-017-9998-x.

Abstract

In 2016, the recommendations of the DICOM Standards Committee for the use of veterinary identification DICOM tags had its 10th anniversary. The goal of our study was to survey veterinary DICOM standard conformance in Germany regarding the specific identification tags veterinarians should use in veterinary diagnostic imaging. We hypothesized that most veterinarians in Germany do not follow the guidelines of the DICOM Standards Committee. We analyzed the metadata of 488 imaging studies of referral cases from 115 different veterinary institutions in Germany by computer-aided DICOM header readout. We found that 25 (5.1%) of the imaging studies fully complied with the "veterinary DICOM standard" in this survey. The results confirmed our hypothesis that the recommendations of the DICOM Standards Committee for the consistent and advantageous use of veterinary identification tags have found minimal acceptance amongst German veterinarians. DICOM does not only enable connectivity between machines, DICOM also improves communication between veterinarians by sharing correct and valuable metadata for better patient care. Therefore, we recommend that lecturers, universities, societies, authorities, vendors, and other stakeholders should increase their effort to improve the spread of the veterinary DICOM standard in the veterinary world.

摘要

2016 年,DICOM 标准委员会关于使用兽医识别 DICOM 标签的建议迎来了第十个年头。我们的研究目的是调查德国兽医诊断成像中兽医应使用特定识别标签的兽医 DICOM 标准符合性。我们假设德国的大多数兽医不遵循 DICOM 标准委员会的指导方针。我们通过计算机辅助 DICOM 头读取分析了来自德国 115 个不同兽医机构的 488 个转诊病例的成像研究的元数据。我们发现,在这项调查中,25 项(5.1%)成像研究完全符合“兽医 DICOM 标准”。结果证实了我们的假设,即 DICOM 标准委员会关于一致和有利地使用兽医识别标签的建议在德国兽医中得到了最小程度的认可。DICOM 不仅实现了机器之间的连接,还通过共享正确和有价值的元数据来改善兽医之间的沟通,从而改善患者的护理。因此,我们建议讲师、大学、学会、主管部门、供应商和其他利益相关者应加大努力,提高兽医界对兽医 DICOM 标准的普及程度。

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