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Design of a Web-Tool for Diagnostic Clinical Trials Handling Medical Imaging Research

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Abstract

New clinical studies in medicine are based on patients and controls using different imaging diagnostic modalities. Medical information systems are not designed for clinical trials employing clinical imaging. Although commercial software and communication systems focus on storage of image data, they are not suitable for storage and mining of new types of quantitative data. We sought to design a Web-tool to support diagnostic clinical trials involving different experts and hospitals or research centres. The image analysis of this project is based on skeletal X-ray imaging. It involves a computerised image method using quantitative analysis of regions of interest in healthy bone and skeletal metastases. The database is implemented with ASP.NET 3.5 and C# technologies for our Web-based application. For data storage, we chose MySQL v.5.0, one of the most popular open source databases. User logins were necessary, and access to patient data was logged for auditing. For security, all data transmissions were carried over encrypted connections. This Web-tool is available to users scattered at different locations; it allows an efficient organisation and storage of data (case report form) and images and allows each user to know precisely what his task is. The advantages of our Web-tool are as follows: (1) sustainability is guaranteed; (2) network locations for collection of data are secured; (3) all clinical information is stored together with the original images and the results derived from processed images and statistical analysis that enable us to perform retrospective studies; (4) changes are easily incorporated because of the modular architecture; and (5) assessment of trial data collected at different sites is centralised to reduce statistical variance.

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Abbreviations

PACS:

Picture archiving and communication systems

DICOM:

Digital Imaging and Communications in Medicine

WIS:

Web information system

CRF:

Case Report Form

SQL:

Structured Query Language

MySQL:

My Structured Query Language

References

  1. Costelloe CM, Rohren EM, Madewell JE, Hamaoka T, Theriault RL, Yu TK, Lewis VO, Ma J, Stafford RJ, Tari AM, Hortobagyi GN, Ueno NT: Imaging bone metastases in breast cancer: techniques and recommendations for diagnosis. Lancet Oncol 10(6):606–614, 2009

    Article  PubMed  Google Scholar 

  2. Pocock SJ: Clinical Trials: A Practical Approach. Wiley, New York, 2004

    Google Scholar 

  3. Huang HK: Enterprise PACS and image distribution. Comput Med Imaging Graph 27(23):241–253, 2003

    Article  PubMed  CAS  Google Scholar 

  4. Pereira J, Castro A, Castro A, Arcay B, Pazos A: Construction of a system for the access, storage and exploitation of data and medical images generated in radiology information systems (RIS). Med Inform Internet Med 27(3):203–218, 2002

    Article  PubMed  CAS  Google Scholar 

  5. Arlet V, Shilt J, Bersusky E, Abel M, et al: Experience with online prospective database on adolescent idiopathic scoliosis: development and implementation. Eur Spine J 17(11):1497–1506, 2008

    Article  PubMed  Google Scholar 

  6. Schell SR: Creation of clinical research databases in the 21st century: a practical algorithm for HIPAA Compliance. Surg Infect (Larchmt) 7(1):37–44, 2006

    Article  Google Scholar 

  7. Jiang K: Integrating clinical trial data for decision making via web services. In: Proc. 26th Ann. Int. Conf. IEEE EMBS, vol. 2. San Francisco, CA, 2004, pp 3346–3349

  8. Brown M, Shah SK, Pais RC, Lee Y, McNitt-Gray MF, Goldin JG, Cardenas AF, Aberle DR: Database design and implementation for quantitative image analysis research. IEEE Trans Inf Technol Biomed 9(1):99–108, 2005

    Article  PubMed  Google Scholar 

  9. Guliato D, de Melo EV, Rangayyan RM, Soares RC: POSTGRESQL-IE: an image-handling extension for PostgreSQL. J Digit Imaging 22(2):149–165, 2009

    Article  PubMed  Google Scholar 

  10. Liu L, Meier D, Polgar-Turcsanyi M, Karkocha P, Bakshi R, Gutmann CR: Multiple sclerosis medical image analysis and information management. J Neuroimag 15:99–108, 2005

    Google Scholar 

  11. Baltasar Sánchez A, González-Sistal A: Improvement of osteoblastic metastases diagnosis from skeletal digitized radiographs. Med Phys 32(6):1916–1917, 2005

    Article  Google Scholar 

  12. González-Sistal A, Baltasar Sánchez A: A complementary method for the detection of osteoblastic metastases on digitized radiographs. J Digit Imaging 12(3):270–275, 2006

    Article  Google Scholar 

  13. González-Sistal A: Diagnostic imaging modalities of osteoblastic metastases. Hosp Imaging Radiol Eur 2(2):16–17, 2007

    Google Scholar 

  14. Baltasar Sánchez, A.; González-Sistal, A. Osteolytic metastases quantification from digitized radiographs. Med Phys, 35(6):2676, 2008

  15. National Cancer Institute: Learning About Clinical Trials. National Cancer Institute. Available at www.nci.nih.gov/clinicaltrials/learning. Accessed April 29, 2008

  16. Jamison DC. Structured Query Language (SQL) fundamentals. Curr Protoc Bioinformatics. February, Chapter 9, Unit9.2, 2003

  17. MySQL. www.mysql.com/. Accessed July 15, 2009

  18. Liu BJ, Zhou Z, Huang HK: A HIPAA-compliant architecture for securing clinical images. J Digit Imaging 19(2):172–180, 2006

    Article  PubMed  Google Scholar 

  19. Guo B, Documet J, Lee J, Liu B, King N, Shrestha R, Wang K, Huang HK, Grant EG: Experiences with a prototype tracking and verification system implemented within an imaging center. Acad Radiol 14(3):270–278, 2007

    Article  PubMed  Google Scholar 

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Acknowledgments

This work was supported in part by the “Proof-of-Concept Programme (PPV045/07)”, Universitat de Barcelona and Grupo Santander.

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Correspondence to Angel González-Sistal.

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Baltasar Sánchez, A., González-Sistal, A. Design of a Web-Tool for Diagnostic Clinical Trials Handling Medical Imaging Research. J Digit Imaging 24, 196–202 (2011). https://doi.org/10.1007/s10278-010-9304-7

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