On Analytical Methods in Neuroblastoma Detection
Author(s) -
Rafael Martínez-Díaz,
Julia Balaguer,
Luis Manuel Sánchez Ruiz,
Pilar Belló,
Victoria Castel,
Guillermo PerisFajarnés
Publication year - 2013
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2013/341346
Subject(s) - algorithm , neuroblastoma , computer science , artificial intelligence , scintigraphy , nuclear medicine , medicine , mathematics , biology , genetics , cell culture
Nonlinear dynamics of cancer recurrence are known to be governed by several factors as initial tumour size, number of metastatic sites, or quantity of drug resistant cells. The precise extent and location of tumours are very important factors soquantitative and consistent methods of evaluation are needed to assess reponse to patient therapy. Whole-body I123-metaiodobenzylguanidine (mIBG) scintigraphy is used as primary medical image modality to detect neuroblastoma tumours due to its high specificity and sensitivity. However, current oncological guidelines are based on qualitative observer-dependent analysis. This fact makes it difficult to compare results of scintigraphies taken at different moments during therapy or at different institutions. In this paper, we review analytical methods used in neuroblastoma detection and propose an observer-independent method to quantitatively analyse a I123-mIBG scintigraphy
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