Patients with newly diagnosed breast cancer receive a PET/MRI scan to investigate axillary lymph node involvement. (IMAGE)
Caption
Patients with newly diagnosed breast cancer receive a PET/MRI scan to investigate axillary lymph node involvement. The radiologist then assesses whether lymph node involvement is present (nodal positive vs. nodal negative) based on easily assessable morphological and metabolic lymph node criteria. Based on these data, a random forest model is trained. Thus, the most important lymph node criteria relevant for the assessment of the lymph node status are determined. By adjusting the threshold, the sensitivity can now be increased by means of a random forest in such a way that 68.2% of patients can be spared an axillary biopsy.
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Image created by Janna Morawitz, Institute for Diagnostic and Interventional Radiology at the University Hospital Düsseldorf, Germany
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