Claudio Ventura1, Silvia Baldassarre2, Federico Cerimele2, Laura Pepi3, Elisabetta Marconi2, Paola Ercolani2, Chiara Floridi2, Giulio Argalia2, Gaia Goteri3, Andrea Giovagnoni2. 1. Department of Radiological Sciences, Ospedali Riuniti Ancona, Università Politecnica Delle Marche - University Hospital, Via Tronto 10, 60126, Ancona, Italy. claudioventura20@gmail.com. 2. Department of Radiological Sciences, Ospedali Riuniti Ancona, Università Politecnica Delle Marche - University Hospital, Via Tronto 10, 60126, Ancona, Italy. 3. Section of Pathological Anatomy and Histopathology, Ospedali Riuniti Ancona, Università Politecnica Delle Marche - University Hospital, Via Tronto 10 , 60126, Ancona, Italy.
Abstract
PURPOSE: To evaluate the reproducibility of the 2D shear wave elastography (2D-SWE) method and to identify the prognostic factors of breast lesions. METHODS: In this prospective study, 44 female patients were consecutively included from January 2020 to September 2021. All patients showing visible masses at B-mode ultrasound underwent to clinical evaluation, followed by qualitative and quantitative 2D-SWE by two different operators with over 15-year and 2-year experience, respectively. Subsequently, patients underwent to surgical treatment after core needle biopsy. Reproducibility of qualitative and quantitative 2D-SWE was evaluated by Cohen's kappa and intraclass correlation coefficient (ICC). Clinical, imaging, and histopathological data and 2D-SWE evaluations were analysed with Spearman's rank correlation test. RESULTS: The mean age of the patients was 55 years ± 12. The mean histological and ultrasound tumour size of were 23.1 mm ± 13.2 and 17.2 mm ± 10.2, respectively. The interobserver agreement showed a good reproducibility limited to the qualitative evaluation colour maps (Cohen's kappa = 0.603) and to the quantitative evaluation E ratio (ICC = 0.771). Correlation analysis between the ultrasound and 2D-SWE values and the clinical-pathological parameters showed a significant relationship between E ratio and Elston-Ellis grading (P < 0.030) and between tumour size and Elston-Ellis grading (P < 0.041). CONCLUSION: The 2D-SWE has shown good reproducibility among operators with different experience. It could be a promising tool in the evaluation of some prognostic factors in ultrasound visible breast cancer.
PURPOSE: To evaluate the reproducibility of the 2D shear wave elastography (2D-SWE) method and to identify the prognostic factors of breast lesions. METHODS: In this prospective study, 44 female patients were consecutively included from January 2020 to September 2021. All patients showing visible masses at B-mode ultrasound underwent to clinical evaluation, followed by qualitative and quantitative 2D-SWE by two different operators with over 15-year and 2-year experience, respectively. Subsequently, patients underwent to surgical treatment after core needle biopsy. Reproducibility of qualitative and quantitative 2D-SWE was evaluated by Cohen's kappa and intraclass correlation coefficient (ICC). Clinical, imaging, and histopathological data and 2D-SWE evaluations were analysed with Spearman's rank correlation test. RESULTS: The mean age of the patients was 55 years ± 12. The mean histological and ultrasound tumour size of were 23.1 mm ± 13.2 and 17.2 mm ± 10.2, respectively. The interobserver agreement showed a good reproducibility limited to the qualitative evaluation colour maps (Cohen's kappa = 0.603) and to the quantitative evaluation E ratio (ICC = 0.771). Correlation analysis between the ultrasound and 2D-SWE values and the clinical-pathological parameters showed a significant relationship between E ratio and Elston-Ellis grading (P < 0.030) and between tumour size and Elston-Ellis grading (P < 0.041). CONCLUSION: The 2D-SWE has shown good reproducibility among operators with different experience. It could be a promising tool in the evaluation of some prognostic factors in ultrasound visible breast cancer.
Authors: C Balleyguier; L Ciolovan; S Ammari; S Canale; S Sethom; R Al Rouhbane; P Vielh; C Dromain Journal: Diagn Interv Imaging Date: 2013-04-22 Impact factor: 4.026
Authors: Giulio Argalia; Giuseppe Tarantino; Claudio Ventura; Daniele Campioni; Corrado Tagliati; Paola Guardati; Alba Kostandini; Marco Marzioni; Gian Marco Giuseppetti; Andrea Giovagnoni Journal: Radiol Med Date: 2021-01-25 Impact factor: 3.469
Authors: David O Cosgrove; Wendie A Berg; Caroline J Doré; Danny M Skyba; Jean-Pierre Henry; Joel Gay; Claude Cohen-Bacrie Journal: Eur Radiol Date: 2011-12-31 Impact factor: 5.315