PET/CT radiomics may improve diagnosis of VCFs

In this study, the researchers aimed to combine FDG-PET/CT features and CT features in a radiomics model that could help clinicians make treatment decisions in these cases.The researchers analyzed imaging from 439 patients diagnosed with vertebral compression fractures after PET/CT scans at their hospital from January 2016 to January 2023. They extracted 26 features from the imaging: nine PET features and 17 CT features, as well as eight clinical variables, such as age, maximum standard uptake value (SUVmax) of FDG radiotracer, osteolytic destruction, and fracture line, for instance.Using these, the group constructed a combined clinical-radiomics model and a model based on the clinical features alone. They then tested the models on PET/CT images from 44 patients with 20 benign VCFs and 24 malignant VCFs. Performance was based on the area under the curve (AUC) of the models for distinguishing between benign and malignant VCFs.According to the findings, the AUC of the clinical-radiomics model was 0.948, compared with 0.858 for the clinical model, the authors wrote.“Combining clinical parameters with radiomics scores based on F-18 FDG-PET/CT can be used to predict the malignancy of vertebral compression fractures with high diagnostic accuracy,” the group wrote.To date, the diagnosis of the causes of VCFs by CT, as well as other approaches such as MRI, bone SPECT/CT, and PET/CT is largely dependent on the experience of diagnostic physicians, the researchers noted. Adding radi...

Source: AuntMinnie.com Headlines - October 17, 2023 Category: Radiology Authors: Will Morton Tags: Clinical News Molecular Imaging Source Type: news