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

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 1 to 18 years old (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) mm 2 , 2531 (2457 to 2714) mm 2 /s for reactive, 24 (19 to 27) mm, 15 (11 to 20) mm, 271.80 (231.43 to 412.20) mm 2 , 2534 (2425 to 2594) mm 2 /s for lymphadenitis, 27 (23.50 to 31.50) mm, 20 (15 to 22) mm, 377.08 (260.47 to 530.94) mm 2 , 2337 (2254 to 2466) mm 2 /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 cm 2 , ADC value <2367 mm 2 /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.

Relationship of chest computed tomography score with disease severity and laboratory values in children with COVID-19

AIM

Although chest computed tomography (CT) score has been well evaluated in adult coronavirus disease (COVID-19), its use in paediatric cases is insufficiently studied. Our aim is to evaluate the relationship of chest CT score with disease severity and laboratory parameters.

METHODS

Seventy-six paediatric patients with confirmed COVID-19 and chest CT evaluation on admission have been included in this study. Chest CT score was calculated for each of the five lobes considering the extent of anatomical involvement, as follows: 0: 0%; 1: <5%; 2: 5%-25%; 3: 26%-50%; 4: 51%-75% and 5: >75%. The resulting total CT score was the sum of each individual lobar score; the range was between 0 and 25.

RESULTS

Total chest CT score was found to be positively correlated with alanine aminotransferase and d-dimer, and negatively correlated with lymphocyte count. In receiver operating characteristic analysis, total chest CT score had area under the curve 0.99 (95% confidence interval, 0.98-1.00) at cut-off 2 with 95% sensitivity and 96% specificity for the severe disease. Furthermore, in-depth analysis of lobar CT scores showed a correlation between left upper lobe with lymphocyte count, left lower lobe with d-dimer, right middle and lower lobes with alanine aminotransferase and right upper lobe with leukocyte count.

CONCLUSIONS

There is a significant relationship between chest CT score and COVID-19 severity and laboratory findings in children. This suggests that chest CT scores can be used to assess the severity of the disease and can play an important role in paediatric clinical practice.