gms | German Medical Science

18th Symposium on Infections in the Immunocompromised Host

International Immunocompromised Host Society

15. to 17.06.2014, Berlin

Development of a Software to Support Diagnosis of Brain Lesions of Suspected Infectious Origin Starting from an International Database and a Set of Radiologic Image Analysis Tools

Meeting Abstract

  • N. Maximova - OncoEmatology and Bone Marrow Transplantation Unit, Trieste, Italy
  • F. Zennaro - Italy
  • D. Grosso - Italy
  • D. Zanon - Italy
  • A. Pizzol - Italy
  • T. Minuzzo - Italy
  • R. Torelli - Italy

18th Symposium on Infections in the Immunocompromised Host. Berlin, 15.-17.06.2014. Düsseldorf: German Medical Science GMS Publishing House; 2014. Doc14ichs05

doi: 10.3205/14ichs05, urn:nbn:de:0183-14ichs055

Veröffentlicht: 3. Juni 2014

© 2014 Maximova et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielfältigt, verbreitet und öffentlich zugänglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Text

Introduction: Brain infections are still a life threatening event in immunocompromised patients. Due to delays in etiological diagnosis, severe complications and related mortality rate are still too high. Brain Supporters is a multidisciplinary team working to develop a software tool which would be helpful for physicians trying to minimize this event in an innovative way.

Material and methods: All biological and clinical data we have selected, related to immunosuppressed patients with suspected or proven brain infectious diseases, and radiologic images (MR or CT) of their brain, will be collected in an international database freely accessible to transplant centres world-wide through a secure web site: www.brainsupporters.eu. Every case will be subject to a blind evaluation by two teams of specialists in radiologic and microbiology, in accordance with guidelines we have defined starting from an international criterion for proven diagnosis and then classified by aetiological agent.

Aim of the project: We aim to obtain the probability of presence for any pathological agent, starting from the most spread, analysing the "radiologic footprint" of lesions and clinical and biological data of the subject to eventually minimize the variability due to the different characteristics of the host, his immunosuppressant therapies and clinical condition.

We have designed and implemented the database and chosen a dicom software with an html5 interface to manage radiologic images directly from the web site, even from a tablet and without installing other tools. We are developing and testing a software package we will use for data and image analysis.

Conclusions: The development of a software as a diagnostic supportive tool for physicians could lead to an early diagnosis, gain of time and greater management of brain infectious diseases in immunocompromised patients. A little step to ameliorate their condition.