On Analytical Methods in Neuroblastoma Detection

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 so quantitative and consistent methods of evaluation are...

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Bibliographic Details
Published in:Abstract and Applied Analysis 2013-01, Vol.2013 (2013), p.664-668-364
Main Authors: Martínez-Díaz, R., Balaguer, J., Sánchez Ruiz, L. M., Bello, P., Castel, V., Perís-Fajarnés, G.
Format: Article
Language:English
Subjects:
Cameras
Cancer
Diagnosis
Guidelines
Hospitals
Image detection
Mathematical analysis
Mathematical models
Mathematical research
Medical
Medical imaging
Methods
Neuroblastoma
NMR
Nonlinear theories
Nuclear magnetic resonance
Nuclear medicine
Oncology, Experimental
Patients
Position (location)
Standard deviation
Therapy
Tumors
Tumours
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Summary: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 so quantitative 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.
ISSN:1085-3375
1687-0409
DOI:10.1155/2013/341346