Development of a Telemedical Network Supporting an Automated Flow Cytometric Analysis for the Clinical Follow-up of Leukaemia
| Main Authors: | Claude Takenga, Rolf-Dietrich Berndt, Erling Si, Markus Diem, Guohui Qiao, Melanie Gau, Michael Brandstoetter, Martin Kampel, Michael Dworzak |
|---|---|
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2016
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/1127082 |
| ctrlnum |
1127082 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Claude Takenga</creator><creator>Rolf-Dietrich Berndt</creator><creator>Erling Si</creator><creator>Markus Diem</creator><creator>Guohui Qiao</creator><creator>Melanie Gau</creator><creator>Michael Brandstoetter</creator><creator>Martin Kampel</creator><creator>Michael Dworzak</creator><date>2016-09-01</date><description>In patients with acute lymphoblastic leukaemia (ALL), treatment response is increasingly evaluated with minimal residual disease (MRD) analyses. Flow Cytometry (FCM) is a fast and sensitive method to detect MRD. However, the interpretation of these multi-parametric data requires intensive operator training and experience. This paper presents a pipeline-software, as a ready-to-use FCM-based MRD-assessment tool for the daily clinical practice for patients with ALL. The new tool increases accuracy in assessment of FCM-MRD in samples which are difficult to analyse by conventional operator-based gating since computer-aided analysis potentially has a superior resolution due to utilization of the whole multi-parametric FCM-data space at once instead of step-wise, two-dimensional plot-based visualization. The system developed as a telemedical network reduces the work-load and lab-costs, staff-time needed for training, continuous quality control, operator-based data interpretation. It allows dissemination of automated FCM-MRD analysis to medical centres which have no established expertise for the benefit of an even larger community of diseased children worldwide. We established a telemedical network system for analysis and clinical follow-up and treatment monitoring of Leukaemia. The system is scalable and adapted to link several centres and laboratories worldwide.</description><identifier>https://zenodo.org/record/1127082</identifier><identifier>10.5281/zenodo.1127082</identifier><identifier>oai:zenodo.org:1127082</identifier><language>eng</language><relation>doi:10.5281/zenodo.1127081</relation><relation>url:https://zenodo.org/communities/waset</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><subject>Data security</subject><subject>flow cytometry</subject><subject>leukaemia</subject><subject>telematics platform</subject><subject>telemedicine.</subject><title>Development of a Telemedical Network Supporting an Automated Flow Cytometric Analysis for the Clinical Follow-up of Leukaemia</title><type>Journal:Article</type><type>Journal:Article</type><recordID>1127082</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Journal:Journal |
| author |
Claude Takenga Rolf-Dietrich Berndt Erling Si Markus Diem Guohui Qiao Melanie Gau Michael Brandstoetter Martin Kampel Michael Dworzak |
| title |
Development of a Telemedical Network Supporting an Automated Flow Cytometric Analysis for the Clinical Follow-up of Leukaemia |
| publishDate |
2016 |
| topic |
Data security flow cytometry leukaemia telematics platform telemedicine |
| url |
https://zenodo.org/record/1127082 |
| contents |
In patients with acute lymphoblastic leukaemia (ALL), treatment response is increasingly evaluated with minimal residual disease (MRD) analyses. Flow Cytometry (FCM) is a fast and sensitive method to detect MRD. However, the interpretation of these multi-parametric data requires intensive operator training and experience. This paper presents a pipeline-software, as a ready-to-use FCM-based MRD-assessment tool for the daily clinical practice for patients with ALL. The new tool increases accuracy in assessment of FCM-MRD in samples which are difficult to analyse by conventional operator-based gating since computer-aided analysis potentially has a superior resolution due to utilization of the whole multi-parametric FCM-data space at once instead of step-wise, two-dimensional plot-based visualization. The system developed as a telemedical network reduces the work-load and lab-costs, staff-time needed for training, continuous quality control, operator-based data interpretation. It allows dissemination of automated FCM-MRD analysis to medical centres which have no established expertise for the benefit of an even larger community of diseased children worldwide. We established a telemedical network system for analysis and clinical follow-up and treatment monitoring of Leukaemia. The system is scalable and adapted to link several centres and laboratories worldwide. |
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IOS16997.1127082 |
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ZAIN Publications |
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7213 |
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Cognizance Journal of Multidisciplinary Studies |
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Cognizance Journal of Multidisciplinary Studies |
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Multidisciplinary |
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Stockholm |
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INTERNASIONAL |
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1 |
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2022-06-06T03:37:04Z |
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