Punwani, S; Purpura, P; Dikaios, N; Fitzke, H; Bainbridge, A; Price, D; ... Taylor, S; + view all Punwani, S; Purpura, P; Dikaios, N; Fitzke, H; Bainbridge, A; Price, D; Rice, S; Morley, S; Beale, T; Mendes, R; Forster, M; Carnell, D; Vaitilingam, T; Newton, N; Atkinson, D; Halligan, S; Taylor, S; - view fewer (2012) Multi-scale analysis of apparent diffusion coefficient (ADC) predicts cervical nodal status in patients with head & neck squamous cell carcinoma. In: (Proceedings) ISMRM 2012. (pp. 1052 - ?).
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The study assess multi-scale diffusion parameters (median volumetric nodal region of interest values, inter-voxel histogram distributions, and intra-voxel diffusion heterogeneity as assessed by the stretched exponential model) as classifiers of nodal status in patients with head and neck squamous cell carcinoma (SCC). Low b value (0, 50, 100) derived nodal ADC (perfusion sensitive) was the key parameter facilitating discrimination of metastatic from benign nodes in patients with head and neck SCC. The stretched exponential derived α value together with histogram features of ADC provide an accurate decision tree model for classification of nodal disease.
|Title:||Multi-scale analysis of apparent diffusion coefficient (ADC) predicts cervical nodal status in patients with head & neck squamous cell carcinoma|
|Dates:||2012-05-07 - 2012-05-12|
|UCL classification:||UCL > School of Life and Medical Sciences > Faculty of Medical Sciences > Medicine (Division of)|
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