无线电技术
医学
结直肠癌
磁共振成像
磁共振弥散成像
手术计划
放射科
新辅助治疗
癌症
内科学
乳腺癌
作者
Sebastian Curcean,Andra Curcean,Daniela Martin,Zsolt Fekete,Alexandru Irimie,Alina-Simona Muntean,Cosmin Caraiani
出处
期刊:Cancers
[MDPI AG]
日期:2024-09-09
卷期号:16 (17): 3111-3111
标识
DOI:10.3390/cancers16173111
摘要
The role of magnetic resonance imaging (MRI) in rectal cancer management has significantly increased over the last decade, in line with more personalized treatment approaches. Total neoadjuvant treatment (TNT) plays a pivotal role in the shift from traditional surgical approach to non-surgical approaches such as ‘watch-and-wait’. MRI plays a central role in this evolving landscape, providing essential morphological and functional data that support clinical decision-making. Key MRI-based biomarkers, including circumferential resection margin (CRM), extramural venous invasion (EMVI), tumour deposits, diffusion-weighted imaging (DWI), and MRI tumour regression grade (mrTRG), have proven valuable for staging, response assessment, and patient prognosis. Functional imaging techniques, such as dynamic contrast-enhanced MRI (DCE-MRI), alongside emerging biomarkers derived from radiomics and artificial intelligence (AI) have the potential to transform rectal cancer management offering data that enhance T and N staging, histopathological characterization, prediction of treatment response, recurrence detection, and identification of genomic features. This review outlines validated morphological and functional MRI-derived biomarkers with both prognostic and predictive significance, while also exploring the potential of radiomics and artificial intelligence in rectal cancer management. Furthermore, we discuss the role of rectal MRI in the ‘watch-and-wait’ approach, highlighting important practical aspects in selecting patients for non-surgical management.
科研通智能强力驱动
Strongly Powered by AbleSci AI