Publications by authors named "Laura Boddy"
EBioMedicine
December 2022
Article Synopsis
- Large lung nodules (≥15 mm) have the highest risk of cancer but current risk models are not effective for these larger nodules. A study aimed to create a new classification system that combines deep learning and traditional methods to assess their cancer risk.
- The study involved 502 patients and used 838 CT scans to develop an automated segmentation model and a radiomics signature, named LN-RPV, to evaluate malignancy risk. The new model was tested against human radiologists and existing scoring systems.
- Results showed that the customized LN-RPV model outperformed median radiologists and traditional scores in malignancy classification, indicating its potential as a reliable decision-support tool for identifying high-risk lung nodules, which could lead to better
