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Staging of upper limb lymphedema from routine lymphoscintigraphic examinations
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SYSNO ASEP 0320214 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Staging of upper limb lymphedema from routine lymphoscintigraphic examinations Title Odhad stádia sekundárního lymfedému paží z rutinních lymfoscintigrafických vyšetření Author(s) Gebouský, Petr (UTIA-B)
Kárný, Miroslav (UTIA-B) RID, ORCID
Křížová, H. (CZ)
Wald, M. (CZ)Source Title Computers in Biology Medicine. - : Elsevier - ISSN 0010-4825
Roč. 39, č. 1 (2009), s. 1-7Number of pages 7 s. Language eng - English Country GB - United Kingdom Keywords Quantitative lymphoscintigraphy ; Secondary lymphedema of upper limbs ; Staging ; Bayesian evaluation ; Probabilistic mixtures Subject RIV BB - Applied Statistics, Operational Research R&D Projects 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) 2C06001 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000263399300001 DOI 10.1016/j.compbiomed.2008.10.003 Annotation Secondary lymphedema of upper limbs, a frequent complication after a breast cancer therapy, can be successfully treated only when diagnosed at an early, ideally latent, stage. Lymphoscintigraphy is a promising candidate to this purpose. A slow lymphatic dynamics of upper limbs allows, however, a routine collection at most three images reflecting it. This makes an exploitation of lymphoscintigraphy to early-stage diagnosis a complex task. Recently, a Bayesian methodology extracting diagnostic information from the available sparse data has been developed. It properly detects lymphedema occurrence but not a desirable disease staging. The present paper proposes Bayesian diagnostic processing of lymphoscintigraphic and routine clinical data. Its staging ability was tested on diagnostic data of 88 women at the age of 39–84 years (60.2+-10.4) with a suspicion of unilateral secondary lymphedema of upper limbs caused by a breast cancer treatment. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2009
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