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©The Author(s) 2022.
World J Clin Oncol. Aug 24, 2022; 13(8): 702-711
Published online Aug 24, 2022. doi: 10.5306/wjco.v13.i8.702
Published online Aug 24, 2022. doi: 10.5306/wjco.v13.i8.702
Variable | Coefficient (β) | Standard Error | Wald χ2 | P value | Odds ratio | 95%CI |
Age | -0.05 | 0.20 | 7.60 | 0.006 | 0.95 | 0.91 to 0.99 |
Subtype, nevus-associated | 2.65 | 1.28 | 4.28 | 0.038 | 14.19 | 1.15 to 174.76 |
Subtype, nodular | 2.37 | 1.01 | 5.51 | 0.019 | 10.71 | 1.48 to 77.48 |
Subtype, secondary nodular | 2.90 | 1.08 | 7.22 | 0.007 | 18.21 | 2.19 to 151.22 |
Eccentricity | 0.38 | 0.13 | 7.84 | 0.005 | 1.46 | 1.12 to 1.89 |
- Citation: Papadakis M, Paschos A, Papazoglou AS, Manios A, Zirngibl H, Manios G, Koumaki D. Computer-aided clinical image analysis as a predictor of sentinel lymph node positivity in cutaneous melanoma. World J Clin Oncol 2022; 13(8): 702-711
- URL: https://www.wjgnet.com/2218-4333/full/v13/i8/702.htm
- DOI: https://dx.doi.org/10.5306/wjco.v13.i8.702