TY  - GEN 
AU  - Luengo Gómez, David
AU  - García Cerezo, Marta
AU  - López Cornejo, David
AU  - Salmerón Ruíz, Ángela
AU  - González Flores, Encarnación
AU  - Melguizo Alonso, Consolación
AU  - Laínez Ramos-Bossini, Antonio Jesús
AU  - Prados, José
AU  - Ortega Sánchez, Francisco Gabriel
PY  - 2025
UR  - https://hdl.handle.net/10481/106176
AB  - Background: MRI-based radiomics has emerged as a promising approach to enhance the non-invasive, presurgical assessment of lymph node staging in rectal cancer (RC). However, its clinical implementation remains limited due to methodological variability...
LA  - eng
PB  - MDPI
KW  - Radiomics
KW  - Magnetic resonance imaging
KW  - Lymph node
KW  - Staging
KW  - Precision
KW  - Machine Learning
TI  - The Value of MRI-Based Radiomics in Predicting the Pathological Nodal Status of Rectal Cancer: A Systematic Review and Meta-Analysis
DO  - 10.3390/bioengineering12070786
ER  -