RSNA 2014 

Abstract Archives of the RSNA, 2014


SSK17-04

Dynamic contrast-enhanced MRI in the Differentiation of Posttreatment Changes from Tumor of the Head and Neck

Scientific Papers

Presented on December 3, 2014
Presented as part of SSK17: Neuroradiology/Head and Neck (Head & Neck Tumors)

Participants

Young Jun Choi MD, Presenter: Nothing to Disclose
Jung Hwan Baek, Abstract Co-Author: Nothing to Disclose
Yu Sub Sung, Abstract Co-Author: Nothing to Disclose
Jeong Hyun Lee MD, PhD, Abstract Co-Author: Nothing to Disclose

PURPOSE

The aim of this study was to investigate the value of dynamic contrast-enhanced MRI (DCE-MRI) with model-free analysis in differentiation of viable tumor from posttreatment changes

METHOD AND MATERIALS

We enrolled twenty-two patients with malignant tumors of the head and neck after definitive treatment, who underwent DCE-MRI during follow-up. Patients were divided into viable tumor (n=11) or post-treatment (n=11) groups according to the results of biopsy or clinical and radiologic follow-up. Patterns of time-signal-intensity (TSI) curves were classified including “progressive increment” as type I, “plateau” as type II and “washout” as type III. Patterns of TSI curves and DCE-MRI parameters including whole area-under-the-curve (AUC) and rAUC were compared between two groups (rAUC = [AUC of the initial 90 seconds]/[AUC of the final 90 seconds]. Inter-reader agreement was also tested by two independent readers for TSI curve pattern analysis.

RESULTS

TSI curve patterns for viable tumor vs. posttreatment changes were 13.6% vs. 86.7% for type I, 50% vs. 13.6% for type II, and 36.4% vs. 0% for type III, which was significantly different by statistical test (P< .05). Whole AUC and rAUC were also significantly different between two groups (P< .05, each). ROC curve analyses showed TSI curve pattern as the best single predictor of the presence of viable tumor with sensitivity of 86.4% and specificity of 86.4% (P<.0001; optimum cutoff with type II). The inter-reader agreement was excellent with κ-value of 0.887.

CONCLUSION

TSI curve pattern derived from DCE-MRI is a potential noninvasive imaging biomarker for differentiation of viable tumor from post-treatment changes in patients with head and neck malignancy.

CLINICAL RELEVANCE/APPLICATION

TSI curve pattern derived from DCE-MRI is a potential noninvasive imaging biomarker for differentiation of viable tumor from post-treatment changes in patients with head and neck malignancy.

Cite This Abstract

Choi, Y, Baek, J, Sung, Y, Lee, J, Dynamic contrast-enhanced MRI in the Differentiation of Posttreatment Changes from Tumor of the Head and Neck.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14017668.html