Diagnostic efficacy of dynamic contrast-enhanced magnetic resonance perfusion imaging in detecting local tumor recurrence in patients with head and neck malignancies after definitive treatment

Author:

Lathika Anand G.1,Jayasankaran Sandya C.2,Chelakkot Prameela G.3,Thankappan Krishnakumar4,Moorthy Srikanth2

Affiliation:

1. Department of Radiology, SPMulti-Speciality Hospital, Thiruvananthapuram, Kerala, India

2. Department of Radiology, Amrita Institute of Medical Sciences, Amrita University, Kochi, Kerala, India

3. Department of Radiation Oncology, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India

4. Department of Head and Neck Surgery, Amrita Institute of Medical Sciences, Amrita University, Kochi, Kerala, India

Abstract

ABSTRACT Background and Aim: Accurate interpretation of post-treatment imaging in head and neck malignancies poses a challenge due to treatment sequelae. Magnetic resonance (MR) perfusion helps in this scenario by evaluating the hemodynamic characteristics of lesions. This study aimed to elucidate the diagnostic efficacy of dynamic contrast-enhanced (DCE)-MR perfusion imaging in detecting recurrence in patients after they underwent definitive treatment for head and neck tumors. Materials and Methods: Thirty patients who had received definitive curative-intent treatment for histopathology-proven malignant head and neck tumors and in whom recurrent tumor was detected on precontrast MR imaging (MRI) were accrued in the study. Patients underwent DCE-MR perfusion imaging. Time to peak (TTP), relative maximum enhancement (RME), and relative washout (RWO) ratio were calculated by using time–intensity curve (TIC). The diagnostic accuracy was compared with histopathology. Results: A cut-off value of ≥125.3 for RME showed a sensitivity of 76.2% and specificity of 66.7% for differentiating post-radiation changes and recurrence. The optimal cut-off for RWO ratio was ≥−6.24 with a sensitivity of 76.2% and specificity of 55.6%. The optimal cut-off of TTP was ≤45.8 s with a sensitivity of 61.9% and specificity of 77.8%. Diagnostic accuracies of RME, RWO, and TTP were 73.3%, 70%, and 66.7%, respectively. Conclusions: DCE-MRI had significant diagnostic accuracy in detecting and differentiating recurrences. TIC analysis of high-temporal resolution DCE-MRI can provide information regarding microcirculation of tumors, and hence can be considered as an imaging modality of choice for assessment of early local tumor recurrence in head and neck tumors.

Publisher

Medknow

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