The value of machine learning based on CT radiomics in the preoperative identification of peripheral nerve invasion in colorectal cancer: a two-center study

ConclusionsCombining artificial intelligence and radiomics features is a promising approach for identifying peripheral nerve invasion in colorectal cancer. This innovative technique holds significant potential for clinical medicine, offering broader application prospects in the field.Critical relevance statementThe multi-channel ML method based on CT radiomics has a simple operation process and can be used to assist in the clinical screening of patients with CRC accompanied by PNI.Key points• Multi-channel ML in the identification of peripheral nerve invasion in CRC.• Multi-channel ML method based on CT-radiomics can detect the PNI of CRC.• Early preoperative identification of PNI in CRC is helpful to improve the formulation of treatment strategies and the prognosis of patients.Graphical Abstract
Source: Insights into Imaging - Category: Radiology Source Type: research