Characterization of pediatric head and neck masses with diffusion-weighted MR imaging

Area of Science:

• Radiology
• Pediatric Imaging
• Oncology

Background:

• Pediatric head and neck masses require accurate characterization for appropriate management.
• Distinguishing between malignant and benign lesions is crucial for treatment planning.
• Diffusion-weighted MRI offers insights into tissue microstructure.

Purpose of the Study:

• To evaluate the clinical utility of apparent diffusion coefficient (ADC) values in characterizing pediatric head and neck masses.
• To determine if ADC values can differentiate malignant from benign lesions.
• To assess the diagnostic performance of ADC in this patient population.

Main Methods:

• Seventy-eight pediatric patients with head and neck masses underwent routine and diffusion-weighted MRI (1.5-T, b-factors 0 and 1000 s/mm²).
• Apparent diffusion coefficient (ADC) values were calculated for each lesion.
• Statistical analysis compared ADC values between malignant tumors, benign solid masses, and cystic lesions.

Main Results:

• Mean ADC values differed significantly between malignant tumors (0.93 ± 0.18 x 10⁻³ mm²/s), benign solid masses (1.57 ± 0.26 x 10⁻³ mm²/s), and cystic lesions (2.01 ± 0.21 x 10⁻³ mm²/s) (p < 0.001).
• Using a threshold of 1.25 x 10⁻³ mm²/s, diffusion-weighted MRI achieved 92.8% accuracy, 94.4% sensitivity, and 91.2% specificity in differentiating malignant from benign masses.
• Positive and negative predictive values were 91% and 94.2%, respectively.

Conclusions:

• Diffusion-weighted MRI, utilizing apparent diffusion coefficient (ADC) values, is a valuable tool for characterizing pediatric head and neck masses.
• ADC measurements provide a non-invasive method to differentiate malignant from benign lesions with high diagnostic accuracy.
• This technique holds promise for improving diagnostic confidence and guiding clinical management in pediatric head and neck oncology.