Purpose: We evaluated dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) for the preoperative detection of extranodal spread (ENS) in metastatic nodes in the neck.
Materials and Methods:The time-signal intensity curve (TIC) profiles of 54 histologically proven metastatic nodes (26 ENS-positive and 28 ENS-negative) from 43 patients with head and neck squamous cell carcinoma (SCC) were retrospectively analyzed to determine the effective TIC criteria for ENS-positive nodes. The TICs were semiautomatically classified into four distinctive patterns (flat, slow uptake, rapid uptake with low washout ratio, and rapid uptake with high washout ratio) on a pixel-by-pixel basis.Results: A number of the MRI findings were significantly correlated with ENS. However, multivariate logistic regression analysis revealed that only a short-axis diameter and an area with slow uptake TIC patterns were significantly and independently indicative of the presence of ENS. The combined MRI criteria of nodal size (>25 mm) or TIC profile (>44% nodal areas with slow-uptake TIC patterns) yielded the best results for differentiation between ENSpositive and ENS-negative nodes, providing 96% sensitivity, 100% specificity, 98% accuracy, and 100% positive, and 97% negative predictive values.Conclusion: When combined with size criteria, pixelbased MR factor analysis may be a promising tool for detecting ENS. LYMPH NODE INVOLVEMENT is an important prognostic factor in head and neck cancers (HNCs), and it greatly affects the choice of treatment, locoregional control, and even the survival of patients (1). Extranodal spread (ENS), in particular, has been considered as one of the high-risk factors in patients with HNCs because the presence of ENS is associated with an increase in the incidence of locoregional recurrence and distant metastasis (2).Recent advances in magnetic resonance imaging (MRI) techniques have greatly improved their performance in evaluating neck diseases in patients with HNCs (3-5). An ENS-positive node may be defined on MR images as a metastatic node with indistinct nodal margins, irregular nodal capsular enhancement, and infiltration into the adjacent fat or muscle (6,7). However, these MRI criteria were based on subjective observations, and the effective detection by MRI of ENS is often difficult, mainly due to the lack of definite imaging criteria for ENS. A recent study showed that even when such objective MRI criteria and size criteria were combined, the diagnostic abilities were still moderate (8). Consequently, challenges for the effective detection of ENS using MRI have remained unsatisfactory.Time-signal intensity curve (TIC) analysis after dynamic contrast-enhanced MRI provides tissue-specific profiles of blood flow kinetics in tumors. Nodal metastasis results in drastic changes in nodal architectures, along with the formation of metastatic cancer foci, lymphoid tissue loss, and nodal necrosis (3,5). Therefore, we reasoned that these metastatic processes might cause changes in the kinetics of the nodal blood ...