Radiomics signature for automatic hydronephrosis detection in unenhanced Low-Dose CT.
Judith BeckerPiotr WoźnickiJosua A DeckerFranka RischRamona WudyDavid KaufmannLuca CanaliniClaudia WollnyChristian Scheurig-MuenklerThomas KroenckeStefanie BetteFlorian SchwarzPublished in: European journal of radiology (2024)
Our proposed radiomics signature using automatic kidney's parenchyma segmentation allows for accurate hydronephrosis detection on unenhanced low-dose CT scans of the abdomen independently of widened renal pelvis. This method could be used in clinical routine to highlight hydronephrosis to radiologists as well as clinicians, especially in patients with concurrent parapelvic cysts and might reduce time and costs associated with diagnosing hydronephrosis.
Keyphrases
- low dose
- dual energy
- contrast enhanced
- computed tomography
- deep learning
- image quality
- magnetic resonance imaging
- high dose
- loop mediated isothermal amplification
- artificial intelligence
- machine learning
- lymph node metastasis
- magnetic resonance
- real time pcr
- label free
- clinical practice
- palliative care
- locally advanced
- radiation therapy
- neural network
- rectal cancer
- pet ct