A team led by Núria Malats, from the National Cancer Research Centre (CNIO), has developed an algorithm that accurately predicts the presence of metastasis using medical images of the primary tumour.
The PMPD algorithm (Pancreatic cancer Metastasis Prediction Deep-learning algorithm) accurately classified 56% of the metastases in the PREOPANC-DPCG dataset.
The results are particularly positive when considering patients from the PREOPANC-DPCG study whose metastases were only detected in the operating room.
The PMPD algorithm predicted 65.8% of these metastases, which means that, if it had been used at the time, these patients could have been spared surgical intervention.
The PMPD algorithm not only tells us if there is metastasis now, but also tries to predict if it will appear in the coming months.
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