Quality Assessment of CEUS in Individuals with Small Renal Masses-Which Individual Factors Are Associated with High Image Quality?
Paul SpieseckeThomas FischerFrank FriedersdorffBernd HammMarkus Herbert LerchbaumerPublished in: Journal of clinical medicine (2020)
Obesity and bowel gas are known to impair image quality in abdominal ultrasound (US). The present study aims at identifying individual factors in B-mode US that influence contrast-enhanced US (CEUS) image quality to optimize further imaging workup of incidentally detected focal renal masses. We retrospectively analyzed renal CEUS of focal renal masses ≤ 4 cm performed at our center in 143 patients between 2016 and 2020. Patient and lesion characteristics were tested for their influence on focal and overall image quality assessed by two experienced radiologists using Likert scales. Effects of significant variables were quantified by receiver operating characteristics (ROC) curve analysis with area under the curve (AUC), and combined effects were assessed by binary logistic regression. Shrunken kidney, kidney depth, lesion depth, lesion size, and exophytic lesion growth were found to influence focal renal lesion image quality, and all factors except lesion size also influenced overall image quality. Combination of all parameters except kidney depth best predicted good CEUS image quality showing an AUC of 0.91 (p < 0.001, 95%-CI 0.863-0.958). The B-mode US parameters investigated can identify patients expected to have good CEUS image quality and thus help select the most suitable contrast-enhanced imaging strategy for workup of renal lesions.
Keyphrases
- image quality
- contrast enhanced
- computed tomography
- contrast enhanced ultrasound
- dual energy
- magnetic resonance imaging
- diffusion weighted
- end stage renal disease
- magnetic resonance
- chronic kidney disease
- ejection fraction
- diffusion weighted imaging
- newly diagnosed
- high resolution
- peritoneal dialysis
- prognostic factors
- adipose tissue
- insulin resistance
- skeletal muscle
- optical coherence tomography
- mass spectrometry
- patient reported outcomes
- artificial intelligence
- weight loss
- weight gain
- room temperature
- fine needle aspiration
- deep learning
- high fat diet induced
- ionic liquid