Prediction of lymph node metastasis in operable cervical cancer using clinical parameters and deep learning with MRI data: a multicentre study

ConclusionThe proposed hybrid model could be used as a personalised non-invasive tool, which is helpful for predicting LNM in operable cervical cancer. The score of the hybrid model could also reflect the DFS of operable cervical cancer.Critical relevance statementLymph node metastasis is an important factor affecting the prognosis of cervical cancer. Preoperative prediction of lymph node status is helpful to make treatment decisions, improve prognosis, and prolong survival time.Key points• The MRI-based deep-learning model can predict the LNM in operable cervical cancer.• The hybrid model has the highest diagnostic efficiency for the LNM prediction.• The score of the hybrid model can reflect the DFS of operable cervical cancer.Graphical Abstract
Source: Insights into Imaging - Category: Radiology Source Type: research