Muscle-Driven prognostication in gastric cancer: A multicenter deep learning framework integrating Iliopsoas and erector spinae radiomics for 5-Year survival prediction
Abstract This study developed a 5-year survival prediction model for gastric cancer patients by combining radiomics and deep learning, focusing on CT-based 2D and 3D features of the iliopsoas and erector spinae muscles. Retrospective data from 705 patients across two centers were analyzed, with clin...
Saved in:
| Main Authors: | Yuan Hong, Peng Zhang, Zhijun Teng, Kang Cheng, Zimo Zhang, Yixian Cheng, Guodong Cao, Bo Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-09083-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Preoperative albumin-bilirubin grade combined with sarcopenia predicts long-term outcomes after laparoscopic gastrectomy for advanced gastric cancer
by: Shuangshuang Hou, et al.
Published: (2025-08-01) -
Gastric cancer treatment in Brazil: a multicenter study of the Brazilian Gastric Cancer Association
by: Marcus Fernando Kodama Pertille Ramos, et al.
Published: (2025-05-01) -
Meta-analysis of risk factors for pulmonary infection after radical gastrectomy for gastric cancer
by: Zeng-Li CHEN, et al.
Published: (2023-08-01) -
Preoperative Neutrophil-to-Albumin Ratio as a Prognostic Indicator in Advanced Gastric Cancer Undergoing Radical Gastrectomy
by: Ye H, et al.
Published: (2025-07-01) -
Gastric remnant volvulus following gastric sleeve conversion to Roux-en-Y gastric bypass: a case report
by: Caroline E. Roberts, et al.
Published: (2024-12-01)