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Entropy 2016, 18(10), 349; doi:10.3390/e18100349

Recognition of Abnormal Uptake through 123I-mIBG Scintigraphy Entropy for Paediatric Neuroblastoma Identification

Departamento de Informática de Sistemas y Computadores, Universitat Politècnica de València, Valencia 46022, Spain
Centro de Investigación en Tecnologías Gráficas, Universitat Politècnica de València, Valencia 46022, Spain
Author to whom correspondence should be addressed.
Academic Editor: Carlo Cattani
Received: 4 August 2016 / Revised: 16 September 2016 / Accepted: 20 September 2016 / Published: 27 September 2016
(This article belongs to the Special Issue Wavelets, Fractals and Information Theory II)
View Full-Text   |   Download PDF [1080 KB, uploaded 27 September 2016]   |  


Whole-body 123I-Metaiodobenzylguanidine (mIBG) scintigraphy is used as primary image modality to visualize neuroblastoma tumours and metastases because it is the most sensitive and specific radioactive tracer in staging the disease and evaluating the response to treatment. However, especially in paediatric neuroblastoma, information from mIBG scans is difficult to extract because of acquisition difficulties that produce low definition images, with poor contours, resolution and contrast. These problems limit physician assessment. Current oncological guidelines are based on qualitative observer-dependant analysis. This makes comparing results taken at different moments of therapy, or in different institutions, difficult. In this paper, we present a computerized method that processes an image and calculates a quantitative measurement considered as its entropy, suitable for the identification of abnormal uptake regions, for which there is enough suspicion that they may be a tumour or metastatic site. This measurement can also be compared with future scintigraphies of the same patient. Over 46 scintigraphies of 22 anonymous patients were tested; the procedure identified 96.7% of regions of abnormal uptake and it showed a low overall false negative rate of 3.3%. This method provides assistance to physicians in diagnosing tumours and also allows the monitoring of patients’ evolution. View Full-Text
Keywords: information extraction; entropy as measurement; computer science; quantitative assessment information extraction; entropy as measurement; computer science; quantitative assessment

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Martínez-Díaz, M.; Martínez-Díaz, R.; Sánchez-Ruiz, L.M.; Peris-Fajarnés, G. Recognition of Abnormal Uptake through 123I-mIBG Scintigraphy Entropy for Paediatric Neuroblastoma Identification. Entropy 2016, 18, 349.

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