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©The Author(s) 2024.
World J Radiol. Apr 28, 2024; 16(4): 82-93
Published online Apr 28, 2024. doi: 10.4329/wjr.v16.i4.82
Published online Apr 28, 2024. doi: 10.4329/wjr.v16.i4.82
Table 1 Spectrum of lesions in histopathology
Final diagnosis | Number of lesions | Percentage (%) |
Ameloblastomas | 20 | 35 |
Central giant cell granuloma | 11 | 19 |
Odontogenic keratocyst | 6 | 10 |
Ossifying fibroma | 5 | 8 |
Salivary gland tumors | 2 | 4 |
Malignancy | 3 | 5 |
Chondromyxoid fibroma | 1 | 2 |
Non-tumorous | 5 | 9 |
Sclerotic lesions | 2 | 4 |
Ameloblastic fibroma | 1 | 2 |
Odontogenic myxoma | 1 | 2 |
Total | 57 | 100 |
Table 2 Comparison of morphological characteristics between ameloblastoma and non-ameloblastoma groups
Variable | Ameloblastoma (n = 20) | Non-ameloblastoma (n = 37) | P value |
Volume, cm3 | 73.6 (7.6–1014) | 39.12 (0.6–1296) | < 0.05 |
Cystic/necrotic areas | 100 | 51 | < 0.05 |
Cortical expansion/thinning | 100 | 78 | < 0.05 |
Mandibular canal involvement | 60 | 32 | < 0.05 |
Retromolar trigone involvement | 45 | 18 | < 0.05 |
Table 3 Classification of lesions based on iodine concentration (μg/mL)
Iodine concentration (μg/mL) | 0-15 (low) | 16-30 (moderate) | 31-45 (high) | ≥ 46 (extreme) |
Ameloblastoma | 2 | 11 | 4 | 1 |
CGCG | 0 | 1 | 8 | 0 |
OKC | 5 | 0 | 0 | 0 |
OF | 0 | 3 | 0 | 0 |
Salivary gland tumor | 1 | 1 | 0 | 0 |
Chondromyxoid fibroma | 0 | 0 | 0 | 1 |
Others | 4 | 6 | 2 | 1 |
Table 4 Comparison of dual-energy computed tomography quantitative parameters between subgroups
Parameters | Amelo, mean ± SD | OKC, mean ± SD | CGCG, mean ± SD | Other JT, mean ± SD | 1P value | 2P value | 3P value |
Mean HU | 122 ± 28.3 | 33 ± 12.4 | 151 ± 24.3 | 117 ± 37.9 | 0.007 | < 0.001 | 0.616 |
IC | 29 ± 9.3 | 7.2 ± 5.8 | 36.1 ± 6.8 | 24.8 ± 11.5 | 0.036 | < 0.001 | 0.232 |
WC | 1032.5 ± 13 | 1010 ± 11 | 1043 ± 11.6 | 1040 ± 11.4 | 0.036 | 0.044 | 0.056 |
NIC | 0.35 ± 0.15 | 0.10 ± 0.1 | 0.59 ± 0.25 | 0.39 ± 0.24 | 0.011 | 0.007 | 0.501 |
WC (cystic) | 997 ± 5.6 | 1020 ± 5 | - | - | - | < 0.001 | - |
Table 5 Receiver operating characteristic analysis of dual-energy computed tomography parameters between ameloblastoma and central giant cell granulomas
Variable | Cutoff value | Sensitivity, % | Specificity, % | AUC | SE |
IC | 32.1 | 81.82 | 65.00 | 0.727 | 0.0955 |
Mean HU | 134 | 81.82 | 65.00 | 0.789 | 0.0832 |
WC | 1036 | 72.73 | 50.00 | 0.6659 | 0.1 |
NIC | 0.4 | 81.82 | 70.00 | 0.795 | 0.0970 |
Table 6 Comparison of dual-energy computed tomography quantitative parameters based on morphology
Lytic unilocular (n = 21) | Amelo, n = 7 (mean ± SD) | OKC, n = 6 (mean ± SD) | CGCG, n = 2 (mean ± SD) | OF, n = 2 (mean ± SD) | Non-tumorous, n = 4 (mean ± SD) |
Mean HU | 115 ± 18.3 | 33 ± 12.4 | 135 ± 24 | 87 ± 17.9 | 67 ± 17.9 |
IC | 28 ± 8.3 | 7.2 ± 5.8 | 32.9 ± 6.8 | 18.8 ± 9.5 | 8.8 ± 9.5 |
WC | 1030.5 ± 12.8 | 1010 ± 11.3 | 1043 ± 11.6 | 1038 ± 11.4 | 1018 ± 11.4 |
NIC | 0.37 ± 0.15 | 0.10 ± 0.1 | 0.72 ± 0.3 | 0.45 ± 0.24 | 0.25 ± 0.24 |
Lytic multilocular (n = 18) | Amelo, n = 8 (mean ± SD) | CGCG, n = 4 (mean ± SD) | SG tumors, n = 2 (mean ± SD) | Malignancy, n = 3 (mean ± SD) | Non-tumorous, n = 1 (mean ± SD) |
Mean HU | 123 ± 21.3 | 152 ± 20.4 | 94.2 ± 24.3 | 120 ± 37.9 | 69 ± 18.9 |
IC | 29 ± 9.3 | 35.1 ± 9.8 | 17.85 ± 6.8 | 24.8 ± 11.5 | 10 ± 2.5 |
WC | 1032.5 ± 12.8 | 1048 ± 11.3 | 1038 ± 11.6 | 1040 ± 11.4 | 1011 ± 11.4 |
NIC | 0.35 ± 0.15 | 0.54 ± 0.19 | 0.18 ± 0.05 | 0.39 ± 0.24 | 0.29 ± 0.1 |
Mixed-sclerotic (n = 16) | Amelo, n = 5 (mean ± SD) | CGCG, n = 5 (mean ± SD) | OFs, n = 4 (mean ± SD) | CMF, n = 1 (mean ± SD) | Non-tumorous, n = 1 (mean ± SD) |
Mean HU | 129 ± 20.3 | 158 ± 20.4 | 143.8 ± 24.3 | 164 ± 37.9 | 77 ± 16 |
IC | 29.5 ± 9.3 | 38.2 ± 9.8 | 31.1 ± 6.8 | 49.8 ± 11.5 | 11.8 ± 9 |
WC | 1032.5 ± 12.8 | 1048 ± 11.3 | 1043 ± 11.6 | 1037 ± 11.4 | 1028 ± 20.4 |
NIC | 0.35 ± 0.15 | 0.60 ± 0.19 | 0.66 ± 0.25 | 0.37 ± 0.24 | 0.19 ± 0.14 |
- Citation: Viswanathan DJ, Bhalla AS, Manchanda S, Roychoudhury A, Mishra D, Mridha AR. Characterization of tumors of jaw: Additive value of contrast enhancement and dual-energy computed tomography. World J Radiol 2024; 16(4): 82-93
- URL: https://www.wjgnet.com/1949-8470/full/v16/i4/82.htm
- DOI: https://dx.doi.org/10.4329/wjr.v16.i4.82