Purpose: Aim of the study is to evaluate the accuracy of SOFIA: automated 3D prone breast US vs hand held manual ultrasonography in breast cancer prevention. Material and Methods: 57 female patients have been involved in this prospective study; the first in Italy and one of the first across Europe. All patients underwent clinical exam, hand held ultrasonography, 3D automated breast ultrasonography in prone position, mammography if >40 yo, in selected cases breast MRI. Results: Compared to mammography, the association with 3D automated breast ultrasonography in prone position improved the diagnostic accuracy (respectively 8%, CI 2.22-19.23% vs 98.25%, CI 90.61-99.84%). 41 benign lesions and 15 cancers have been detected; one case of breast cancer has been missed because of the position (axillary region) on SOFIA. Conclusion: 3D automated breast ultrasonography in prone position might be helpful to improve cancer detection in dense breasts, even if a little tendency towards the size underestimation of benign lesions has been demonstrated.

Prone 3D abus vs hhus: Diagnostic accuracy and potentialities

Di Grezia G.
;
2020-01-01

Abstract

Purpose: Aim of the study is to evaluate the accuracy of SOFIA: automated 3D prone breast US vs hand held manual ultrasonography in breast cancer prevention. Material and Methods: 57 female patients have been involved in this prospective study; the first in Italy and one of the first across Europe. All patients underwent clinical exam, hand held ultrasonography, 3D automated breast ultrasonography in prone position, mammography if >40 yo, in selected cases breast MRI. Results: Compared to mammography, the association with 3D automated breast ultrasonography in prone position improved the diagnostic accuracy (respectively 8%, CI 2.22-19.23% vs 98.25%, CI 90.61-99.84%). 41 benign lesions and 15 cancers have been detected; one case of breast cancer has been missed because of the position (axillary region) on SOFIA. Conclusion: 3D automated breast ultrasonography in prone position might be helpful to improve cancer detection in dense breasts, even if a little tendency towards the size underestimation of benign lesions has been demonstrated.
2020
Inglese
Inglese
1
Special Issue
23
38
16
Comitato scientifico
Automated breast ultrasound
Breast cancer screening
Dense breasts
Internazionale
No
10
info:eu-repo/semantics/article
262
Gatta, G.; Di Grezia, G.; Donatello, D.; Falco, G.; Bertozzi, S.; Londero, A. P.; Giordano, M.; Magliocchetti, S.; Grassi, R.; Pace, G.
1 Contributo su Rivista::1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14085/32065
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