The new era of advanced placental tissue characterization using MRI texture analysis: Clinical implications

摘要

In this issue of EBioMedicine, Qingxia Wu and colleagues proposean integrated clinic-radiomic model combining clinical factors suchas maternal age, previous caesarean delivery and hemoglobin value,with radiomic magnetic resonance (MR) features of placentaextracted by T2 weighted images to predict the risk of post-partumhemorrhage (PPH) in pregnancies [1]. Two patient populations fromtwo different hospitals were used as training (n = 207) and validation(n = 91) set, respectively. In particular, the radiomic features of placenta showed a strong correlation with estimated blood loss (EBL).The authors observed a good performance of this clinic-radiomicmodel in both patients with and without placenta previa (PP), suggesting that it could be applied for all patients who underwent MRfor PPH prediction.