Radiology

A pilot study found that integrating diffusion-weighted MRI measures with conventional response criteria improved early classification of pelvic bone metastases in patients with lung cancer.

Combining MRI and clinical information improved prediction of prostate cancer upgrading after surgery.

A prospective study found that combining subtraction iodine maps with deep learning reconstruction improved temporal bone CT image quality, lesion delineation, and visualisation of bone involvement.

A scoping review highlights the limitations of current pancreatic cancer restaging methods and explores how additional imaging features and CA19-9 may improve treatment response assessment.

UroVision AI showed strong agreement with ImageJ MRU and helped reclassify borderline kidney drainage curves in children.

MRI-based 3D measurements may improve neck abscess severity assessment, with larger volumes and irregular shapes associated with poorer clinical outcomes.

A study of screen-detected lung cancers found that adenocarcinomas were more likely to be smaller, slower-growing, diagnosed at an earlier stage.

Spectral CT may help distinguish intrapancreatic accessory spleen from hypervascular pancreatic neoplasms using routine portal venous-phase CT, according to new research.