Publications by authors named "Sailing Guo"
Article Synopsis
- Researchers wanted to see if using special imaging techniques from contrast-enhanced mammography (CEM) could help tell if breast cancer cells are HER2-positive or HER2-negative.
- They looked at images from 352 patients and used different computer models to analyze features from the tumors.
- The best model combined a few imaging features and improved how accurately they could identify the HER2 status, showing that these methods could be really helpful for doctors.
Background: Predicting breast cancer molecular subtypes can help guide individualised clinical treatment of patients who need the rational preoperative treatment. This study aimed to investigate the efficacy of preoperative prediction of breast cancer molecular subtypes by contrast-enhanced mammography (CEM) radiomic features.
Methods: This retrospective two-centre study included women with breast cancer who underwent CEM preoperatively between August 2016 and May 2022.