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Chronic pancreatitis (CP) is defined as prolonged inflammation of the pancreas resulting in irreversible damage and fibrosis of the exocrine parenchym.
In addition, patients with CP had a significantly increased risk of pancreatic cancer compared with patients with normal pancrea.
Currently, radiomics can transform imaging data into a high-dimensional feature space and use this space to predict tumor stage, grade, treatment effect, and prognosis of PDA.
Recently, published in European Radiology, we developed and validated a CT nomogram and CT-based radiomics signature to differentiate MFCP from PDAC in patients with CP, and evaluated its value when applied to conventional multi-slice C.
This study retrospectively analyzed data from 138 patients with histopathologically diagnosed MFCP or PDAC treated at our institutio.
The mean age of the patients was 57 years, and 74% were mal.
This study developed and validated a CT and a CT-based radiomics model, both of which were reasonably accurate in differentiating MFCP and PDAC in CP patients, with great clinical implications for improving pancreatic mass management in such patients potentia.
Original source:
Hao Zhang, Yinghao Meng, Qi Li, et a.