The Diagnostic Performance of Magnetic Resonance Imaging in the Categorization of Pediatric Neck Lymph Nodes: Radiologic and Pathologic Correlations

Author:

Caliskan Emine1ORCID,Paytoncu Naz2ORCID,G. Düzkalır Hanife2ORCID,Arifoglu Meral2ORCID,Fistikcioglu Neriman2ORCID,Gunbey Hediye P.2ORCID

Affiliation:

1. Pediatric Radiology

2. Radiology, Kartal Dr. Lutfi Kirdar City Hospital, University of Health Sciences, Istanbul, Turkey

Abstract

Background/Aim: To present MRI features of neck lymph nodes in benign and malignant conditions in the pediatric population. Materials and Methods: MRIs of the neck of 51 patients aged 1 to 18 years (40 boys, 11 girls [10.08±4.73]) with lymph node biopsy were retrospectively analyzed. Those were grouped as benign including reactive (27 [52.9%]) and lymphadenitis (11 [21.6%]), and malignant (13 [25.5%]). The groups were evaluated multiparametrically in terms of quantitative and qualitative variables. Results: The long axis, short axis, area, and apparent diffusion coefficient (ADC) values of the largest lymph node were 21 (17 to 24) mm, 14 (12 to 18) mm, 228.60 (144.79 to 351.82) mm2, 2531 (2457 to 2714) mm2/s for reactive, 24 (19 to 27) mm, 15 (11 to 20) mm, 271.80 (231.43 to 412.20) mm2, 2534 (2425 to 2594) mm2/s for lymphadenitis, 27 (23.50 to 31.50) mm, 20 (15 to 22) mm, 377.08 (260.47 to 530.94) mm2, 2337 (2254 to 2466) mm2/s for malignant, respectively. Statistical analysis of our data suggests that the following parameters are associated with a higher likelihood of malignancy: long axis >22 mm, short axis >16 mm, area >319 cm2, ADC value <2367 mm2/s, and supraclavicular location. Perinodal and nodal heterogeneity, posterior cervical triangle location are common in lymphadenitis (P<0.001). Reactive lymph nodes are distributed symmetrically in both neck halves (P<0.001). Conclusion: In the MRI-based approach to lymph nodes, not only long axis, short axis, surface area, and ADC, but also location, distribution, perinodal, and nodal heterogeneity should be used.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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