Digital Images in Academic Plastic Surgery: A Novel and Secure Methodology for Use in Clinical Practice and Research

被引:6
作者
Hallac, Rami R. [1 ,2 ]
Dumas, Blaike M. [1 ]
Seaward, James R. [1 ]
Herrera, Royiel [3 ]
Menzies, Christopher [3 ]
Kane, Alex A. [1 ,2 ]
机构
[1] UT Southwestern, Dept Plast Surg, Dallas, TX USA
[2] Childrens Med Ctr, Analyt Imaging & Modeling Ctr, 1935 Med Dist Dr, Dallas, TX 75235 USA
[3] Childrens Med Ctr, Data Intelligence, Dallas, TX 75235 USA
关键词
content-based image retrieval; picture archiving; medical imaging; search engine; database; PHOTOGRAPHY;
D O I
10.1177/1055665618787399
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Background: Digital photographs have become an integral part in plastic and reconstructive surgery. They are significant in clinical research and outcome evaluation. There is a need for effective and secure methods to store, search, and retrieve those photographs. We developed a Health Insurance Portability and Accountability Act compliant searchable database to archive and index clinical information for clinical and research purposes. Methods: At our craniofacial clinic, digital media (2-D, 3-D, and 4-D photographs) are obtained on a regular basis to evaluate and document treatment outcomes. In addition, patients are asked to enroll in our institutional review board (IRB)-approved imaging database. Daily, we link all digital photographs to the patient encounter through EPIC's Media Manager. This allows us to automatically identify and extract new digital media, patient demographics, diagnosis codes, relevant providers, and the text of the clinic notes to our digital database. To search our extensive database, we employed the VIEW search engine. Results: To date, our database contains more than 277 000 images of 11 000 patients where more than 1900 patients are enrolled in the IRB study. This search engine allows full-text search with query response time between 2 and 5 seconds. The search engine displays the returned through a web page interface, which includes image thumbnails and the relevant part of the clinic note. In addition, a patient-specific chart allows the user to examine all patient notes and photographs. Conclusion: Our solution allows providers and researchers to retrieve all digital media securely and efficiently.
引用
收藏
页码:552 / 555
页数:4
相关论文
共 8 条
  • [1] A search engine for 3D models
    Funkhouser, T
    Min, P
    Kazhdan, M
    Chen, J
    Halderman, A
    Dobkin, D
    Jacobs, D
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2003, 22 (01): : 83 - 105
  • [2] Lehmann TM, 2003, MED IMAGING, V5033, P9
  • [3] A review of content-based image retrieval systems in medical applications -: clinical benefits and future directions
    Müller, H
    Michoux, N
    Bandon, D
    Geissbuhler, A
    [J]. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2004, 73 (01) : 1 - 23
  • [4] Digital photography in plastic surgery: How to achieve reasonable standardization outside a photographic studio
    Persichetti, Paolo
    Simone, Pierfranco
    Langella, Marika
    Marangi, Giovanni Francesco
    Carusi, Carlo
    [J]. AESTHETIC PLASTIC SURGERY, 2007, 31 (02) : 194 - 200
  • [5] Tahmoush Dave, 2006, AMIA Annu Symp Proc, P1114
  • [6] Teng CC, 2010, IEEE INT C SOFTW ENG
  • [7] Dicoogle, a Pacs Featuring Profiled Content Based Image Retrieval
    Valente, Frederico
    Costa, Carlos
    Silva, Augusto
    [J]. PLOS ONE, 2013, 8 (05):
  • [8] Guidelines for standard photography in plastic surgery
    Yavuzer, R
    Smirnes, S
    Jackson, IT
    [J]. ANNALS OF PLASTIC SURGERY, 2001, 46 (03) : 293 - 300