title: Comparison of handheld ultrasound and automated breast ultrasound in women recalled after mammography screening.
abstract: Background Automated breast volume scanner (ABVS) is an ultrasound (US) device with a wide scanner that sweeps over a large area of the breast and the acquired transverse images are sent to a workstation for reconstruction and review. Whether ABVS is as reliable as handheld US is, however, still not established. Purpose To compare the sensitivity and specificity of ABVS to handheld breast US for detection of breast cancer, in the situation of recall after mammography screening. Material and Methods A total of 113 women, five with bilateral suspicious findings, undergoing handheld breast US due to a suspicious mammographic finding in screening, underwent additional ABVS. The methods were assessed for each breast and each detected lesion separately and classified into two categories: breasts with mammographic suspicion of malignancy and breasts with a negative mammogram. Results Twenty-six cancers were found in 25 women. In the category of breasts with a suspicious mammographic finding (n = 118), the sensitivity of both handheld US and ABVS was 88% (22/25). The specificity of handheld US was 93.5% (87/93) and ABVS was 89.2% (83/93). In the category of breasts with a negative mammography (n = 103), the sensitivity of handheld US and ABVS was 100% (1/1). The specificity of handheld US was 100% (102/102) and ABVS was 94.1% (96/102). Conclusion ABVS can potentially replace handheld US in the investigation of women recalled from mammography screening due to a suspicious finding. Due to the small size of our study population, further investigation with larger study populations is necessary before the implementation of such practice.
authors: 1 Department of Medical Imaging, Division of Breast Imaging, Södersjukhuset, Stockholm, Sweden.|2 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
authors: Roxanna
authors: R
authors: Hellgren
authors: 2 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
authors: Paul
authors: P
authors: Dickman
authors: 3 Department of Medical Imaging, Södersjukhuset, Stockholm, Sweden.
authors: Karin
authors: K
authors: Leifland
authors: 1 Department of Medical Imaging, Division of Breast Imaging, Södersjukhuset, Stockholm, Sweden.
authors: Ariel
authors: A
authors: Saracco
authors: 2 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
authors: Per
authors: P
authors: Hall
authors: 4 Department of Clinical Research and Education, Karolinska Institutet and Södersjukhuset, Stockholm, Sweden.
authors: Fuat
authors: F
authors: Celebioglu
mesh_terms: D000328:Adult; D000368:Aged; D001940:Breast / Q000000981:diagnostic imaging; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D055088:Early Detection of Cancer / Q000295:instrumentation / Q000379:methods; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation / Q000379:methods; D008327:Mammography; D008875:Middle Aged; D010363:Pattern Recognition, Automated / Q000379:methods; D012680:Sensitivity and Specificity; D016217:Ultrasonography, Mammary / Q000295:instrumentation* / Q000379:methods*
keywords: Breast; mammography; primary neoplasms; ultrasound