OBJECTIVES: To assess the benefit of ultrasound (US) image fusion in the identifiability and assessment of the dignity of renal lesions. MATERIALS AND METHODS: 25 patients with 29 renal lesions were investigated using standard US and CEUS (contrast enhanced US) with image fusion (CT or MRI). Identifiability and assessment of dignity was evaluated using cross-sectional images and US separately as well as using both US-techniques with additional image fusion. The respective modality was rated by two experienced radiologists (10 and 5 years of experience) using a (subjective) 5 point rank scale (1 = best). RESULTS: Using CEUS, image fusion resulted in improved identifiability (score: 1.1 ± 0.4) and improved assessment of dignity (score 1.0 ± 0) of renal lesions than using cross sectional images (score 1.8 ± 1.2 and 3.8 ± 1.2 respectively) separately. CONCLUSION: Image fusion improved the identifiability and the assessment of the dignity of renal lesions compared to using the respective modalities separately.
OBJECTIVES: To assess the benefit of ultrasound (US) image fusion in the identifiability and assessment of the dignity of renal lesions. MATERIALS AND METHODS: 25 patients with 29 renal lesions were investigated using standard US and CEUS (contrast enhanced US) with image fusion (CT or MRI). Identifiability and assessment of dignity was evaluated using cross-sectional images and US separately as well as using both US-techniques with additional image fusion. The respective modality was rated by two experienced radiologists (10 and 5 years of experience) using a (subjective) 5 point rank scale (1 = best). RESULTS: Using CEUS, image fusion resulted in improved identifiability (score: 1.1 ± 0.4) and improved assessment of dignity (score 1.0 ± 0) of renal lesions than using cross sectional images (score 1.8 ± 1.2 and 3.8 ± 1.2 respectively) separately. CONCLUSION: Image fusion improved the identifiability and the assessment of the dignity of renal lesions compared to using the respective modalities separately.
Authors: Lorenzo Monfardini; Nicolò Gennaro; Franco Orsi; Paolo Della Vigna; Guido Bonomo; Gianluca Varano; Luigi Solbiati; Giovanni Mauri Journal: Eur Radiol Date: 2021-04-19 Impact factor: 5.315
Authors: Victoria Sherwood; John Civale; Ian Rivens; David J Collins; Martin O Leach; Gail R ter Haar Journal: Biomed Res Int Date: 2014-08-07 Impact factor: 3.411