Copyright
©The Author(s) 2023.
World J Radiol. Nov 28, 2023; 15(11): 304-314
Published online Nov 28, 2023. doi: 10.4329/wjr.v15.i11.304
Published online Nov 28, 2023. doi: 10.4329/wjr.v15.i11.304
Figure 2 Linear regression showing that residual tumor was significantly linearly correlated with tumor size (P = 0.
0002). Using tumor size as the predictor (x-axis), the slope is 0.1023, meaning that for every single unit increase in tumor size, there is a 10.23% increase in the percentage of residual tumors.
- Citation: Saleh M, Virarkar M, Mahmoud HS, Wong VK, Gonzalez Baerga CI, Parikh M, Elsherif SB, Bhosale PR. Radiomics analysis with three-dimensional and two-dimensional segmentation to predict survival outcomes in pancreatic cancer. World J Radiol 2023; 15(11): 304-314
- URL: https://www.wjgnet.com/1949-8470/full/v15/i11/304.htm
- DOI: https://dx.doi.org/10.4329/wjr.v15.i11.304