Copyright: ©Author(s) 2026.
World J Gastrointest Oncol. Mar 15, 2026; 18(3): 116025
Published online Mar 15, 2026. doi: 10.4251/wjgo.v18.i3.116025
Published online Mar 15, 2026. doi: 10.4251/wjgo.v18.i3.116025
Table 1 Evaluation performance of different techniques in locally advanced rectal cancer patients after neoadjuvant chemoradiotherapy
| Evaluation methods | Area under the curve | Ref. |
| CT imaging histology | 0.881 | [25] |
| MRI, T2WI | 0.88-0.91 | [33] |
| MRI, gadolinium-enhanced | 0.94 | [38] |
| MRI-based tumor regression grade | 0.729 | [57] |
| Cell-free DNA | 0.818 (0.886 when combined with MRI evaluation) | [57] |
| Deep learning algorithm | 0.713 | [63] |
| Endoscopy-based deep convolutional neural network | 0.77 | [64] |
| Contrastive language-image pretraining-based multimodal endorectal ultrasound | 0.928 | [65] |
| Gut microbial profile analysis | 0.988 | [72,78] |
- Citation: Wang P, Liu DC, Wang WP, Hu K. Tailoring therapy through response evaluation: A new era in the management of locally advanced rectal cancer. World J Gastrointest Oncol 2026; 18(3): 116025
- URL: https://www.wjgnet.com/1948-5204/full/v18/i3/116025.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v18.i3.116025
