The performance of the node reporting and data system 1.0 (Node-RADS) and DWI-MRI in staging patients with cervical carcinoma according to the new FIGO classification (2018).
Roberta Valerieva NinkovaAlessandro CalabreseFederica CurtiSandrine RiccardiMarco GennariniValentina MiceliAngelica CupertinoViolante Di DonatoAngelina PernazzaStefania Maria RizzoValeria PanebiancoCarlo CatalanoLucia ManganaroPublished in: La Radiologia medica (2024)
The Node-RADS score provides a standardized LNs assessment, enhancing diagnostic accuracy in CC patients. Its ease of use and high inter-observer concordance support its clinical utility. ADC measurement of LNs shows promise as an additional tool for optimizing patient diagnostic evaluation.
Keyphrases
- lymph node
- diffusion weighted imaging
- end stage renal disease
- ejection fraction
- newly diagnosed
- big data
- chronic kidney disease
- machine learning
- magnetic resonance imaging
- prognostic factors
- contrast enhanced
- case report
- deep learning
- peritoneal dialysis
- emergency department
- electronic health record
- magnetic resonance
- patient reported outcomes
- artificial intelligence
- data analysis
- clinical evaluation