Automated Breast Ultrasound: Lesion Detection and BI-RADS™ Classification – a Pilot Study

Wenkel, Evelyn; Heckmann, Matthias; Heinrich, M.; Schwab, Siegfried A.; Uder, Michael; Schulz-Wendtland, R.; Bautz, W.; Janka, Rolf

doi:10.1055/s-2008-1027563

Cited by 78 publications

(66 citation statements)

References 12 publications

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“…Very good agreement regarding BI-RADS classification of HHUS and ABUS (25) as well as only fair agreement has been reported (26). Agreement between mammography and ABUS was poor due to a high percentage of false positive ultrasound interpretations (27).…”

Section: Discussionmentioning

confidence: 98%

Interpretation of automated breast ultrasound (ABUS) with and without knowledge of mammography: a reader performance study

et al. 2015

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Background: Automated breast ultrasonography (ABUS) has the potential to be an important adjunct to mammography in women with dense breasts. Purpose: To compare reader performance and inter-observer variation of ABUS alone and in combination with mammography. Material and Methods: This retrospective study had ethical committee approval. All women gave written informed consent. One hundred and fourteen breasts in 90 women examined by digital mammography and ABUS were interpreted by five radiologists using BI-RADS categories. The 114 breasts included 38 cancers and 76 normal or benign findings. In the first reading session ABUS only was interpreted, and in the second ABUS plus digital mammography. Image interpretations were done without knowledge of clinical or imaging results. A consensus panel analyzed false negative and false positive interpretations. Reading time was recorded for one radiologist. AUC was used for performance measurement, and kappa statistic for inter-observer variability. Results: Mean size for cancers was 16.2 mm; area under the curve (AUC) values for ABUS alone and for combined reading were, respectively: reader A, 0.592-0.744; reader B, 0.740-0.947; reader, C 0.759-0.823; reader D, 0.670-0.688; reader E, 0.904-0.923; and all readers combined 0.730-0.823. The higher AUC for combined reading was statistically significant (P < 0.05) for reader B and for all readers. There was a considerable inter-observer variability. Observer agreement revealed following kappa values for ABUS alone and combined reading, respectively: reader A, 0. 22-0.30; reader B, 0.33-0.44; reader C, 0.32-0.39; reader D, 0.07-0.14; and reader E, 0.34-0.43. Shadowing from dense parenchyma was the most common cause of false positive ABUS interpretations. Mean interpretation time for a bilateral normal ABUS examination was 9 min. Conclusion: Observer agreement was higher and all radiologists improved diagnostic performance using combined ABUS and mammography interpretation. Combined reading should be standard if ABUS is implemented in screening of women with dense breasts.

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Section: Discussionmentioning

confidence: 98%

Interpretation of automated breast ultrasound (ABUS) with and without knowledge of mammography: a reader performance study

et al. 2015

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“…[4][5][6][7][8][9] Recently, an automated breast US system with a highresolution (8 MHz) transducer was introduced. 10 Wenkel et al 10 demonstrated the possibility of using it in the clinical setting for patients with breast lesions. This system is designed to examine patients in the supine position.…”

Section: Introductionmentioning

confidence: 99%

Optimal scanning technique to cover the whole breast using an automated breast volume scanner

et al. 2010

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“…Manuel US ile benzer görüntü kalitesi ve tanısal doğruluğa sahiptir. Her iki yöntemle saptanan BI-RADS kategorileri ve kitle saptama oranları benzerdir [28,29]. Yapılan çalışmalarda, bu yöntem ile benign ve malign lezyonların ortaya konmasın-da okuyucular arasında mükemmel uyum bildirilmektedir [28].…”

Section: Taramada Otomatik 3-boyutlu Meme Ultrasonografisiunclassified

Meme Kanseri Taraması: Neden Yapıyoruz? Ne Zaman? Değerlendirmede Yaşanan Sorunlar

Kayhan¹,

Arıbal²

2014

Trd Sem

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Automated Breast Ultrasound: Lesion Detection and BI-RADS™ Classification – a Pilot Study

Abstract: These preliminary results show that the ABUS allows detection of solid and cystic lesions and their BI-RADS classification with a high reliability in a selected patient group.

Cited by 78 publications

References 12 publications

Interpretation of automated breast ultrasound (ABUS) with and without knowledge of mammography: a reader performance study

Interpretation of automated breast ultrasound (ABUS) with and without knowledge of mammography: a reader performance study

Optimal scanning technique to cover the whole breast using an automated breast volume scanner

Meme Kanseri Taraması: Neden Yapıyoruz? Ne Zaman? Değerlendirmede Yaşanan Sorunlar

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