biostudies-literatureUnknown15(22)Boemi SBackground: Locally advanced cervical cancer (LACC) represents a significant challenge in oncology, requiring accurate assessment of local extent and metastatic spread. Multiparametric magnetic resonance imaging (mpMRI) has assumed a central role in the loco-regional characterization of the tumor due to its high soft-tissue resolution and the ability to integrate functional information. Objectives: In this narrative review, we explore the use of mpMRI in the diagnosis, staging, and treatment response of LACC, comparing its performance with that of PET/CT, which remains complementary for remote staging. The potential of whole-body magnetic resonance imaging (WB-MRI) and hybrid PET/MRI techniques is also analyzed, as well as the emerging applications of radiomics and artificialDiagnostics (Basel, Switzerland)2858https://www.ebi.ac.uk/biostudies/studies/S-EPMC12651371biostudies-literatureLocally Advanced Cervical Cancer: Multiparametric MRI in Gynecologic Oncology and Precision Medicine.PMC12651371Boemi SSiena RPanella MMPagana APavan MBruno MTLo Giudice CfalseLocally Advanced Cervical Cancer: Multiparametric MRI in Gynecologic Oncology and Precision Medicine.Background: Locally advanced cervical cancer (LACC) represents a significant challenge in oncology, requiring accurate assessment of local extent and metastatic spread. Multiparametric magnetic resonance imaging (mpMRI) has assumed a central role in the loco-regional characterization of the tumor due to its high soft-tissue resolution and the ability to integrate functional information. Objectives: In this narrative review, we explore the use of mpMRI in the diagnosis, staging, and treatment response of LACC, comparing its performance with that of PET/CT, which remains complementary for remote staging. The potential of whole-body magnetic resonance imaging (WB-MRI) and hybrid PET/MRI techniques is also analyzed, as well as the emerging applications of radiomics and artificial2025-01-01T00:00:00Z2025 Nov2026-05-20T03:18:55.582Z2026-05-20T03:09:02.546ZS-EPMC126513714130088310.3390/diagnostics15222858