©The Author(s) 2025.
World J Gastroenterol. Sep 28, 2025; 31(36): 111293
Published online Sep 28, 2025. doi: 10.3748/wjg.v31.i36.111293
Published online Sep 28, 2025. doi: 10.3748/wjg.v31.i36.111293
Table 1 Demographic and clinical factors in pathological complete response and non-pathological complete response groups
| All (n = 70) | pCR (n = 15) | Non-pCR (n = 55) | P value | |
| Age, median (range) | 66 (45-78) | 64 (52-76) | 66 (45-78) | 0.97 |
| Gender | ||||
| Male/female | 60/10 | 12/3 | 48/7 | 0.48 |
| Tumor site | ||||
| Cervical/upper/middle/lower | 5/14/33/18 | 1/5/6/3 | 4/9/27/15 | 0.60 |
| TNM staging | ||||
| cT1/2/3/4 | 0/2/19/49 | 0/0/3/12 | 0/2/16/37 | 0.56 |
| cN0/1/2/3 | 1/17/29/23 | 0/1/5/9 | 1/16/24/14 | 0.06 |
| cStage I/II/III/IVA | 0/0/10/60 | 0/0/0/15 | 0/0/10/45 | 0.075 |
| Total radiation dose | ||||
| 40 Gy/up to 60 Gy | 59/11 | 11/4 | 48/7 | 0.19 |
- Citation: Hirata A, Hayano K, Tochigi T, Kurata Y, Shiraishi T, Sekino N, Nakano A, Matsumoto Y, Toyozumi T, Uesato M, Ohira G. Predicting pathological complete response to chemoradiotherapy using artificial intelligence-based magnetic resonance imaging radiomics in esophageal squamous cell carcinoma. World J Gastroenterol 2025; 31(36): 111293
- URL: https://www.wjgnet.com/1007-9327/full/v31/i36/111293.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i36.111293