OBJECTIVES: Handheld breast ultrasound (HHUS) lacks standardization and reproducibility. The automated breast volume scanner (ABVS) could overcome this limitation. To analyze the interobserver reliability of ABVS and the agreement with HHUS, mammography and pathology is the aim of this study. METHODS: All 42 study participants (=84 breasts) received an ABVS examination in addition to the conventional breast diagnostic work-up. 25 breasts (30%) showed at least one lesion. The scans were interpreted by six breast diagnostic specialists blinded to results of breast imaging and medical history. 32 lesions received histological work-up: 20 cancers were detected. We used kappa statistics to interpret agreement between examiners and diagnostic instruments. RESULTS: On the basis of the Breast Imaging Reporting and Data System (BI-RADS) classification of the 84 breasts an agreement (defined as ≥4 of 6 examiners) was achieved in 63 cases (75%) (mk=0.35) and even improved when dichotomizing the interpretation in benign (BI-RADS 1, 2) and suspicious (BI-RADS 4, 5) to 98% (mk=0.52). Agreement of ABVS examination to HHUS, mammography and pathology was fair to substantial depending on the specific analysis. CONCLUSIONS: The development of an ABVS seems to be a promising diagnostic method with a good interobserver reliability, as well as a comparable good test criteria as HHUS.
OBJECTIVES: Handheld breast ultrasound (HHUS) lacks standardization and reproducibility. The automated breast volume scanner (ABVS) could overcome this limitation. To analyze the interobserver reliability of ABVS and the agreement with HHUS, mammography and pathology is the aim of this study. METHODS: All 42 study participants (=84 breasts) received an ABVS examination in addition to the conventional breast diagnostic work-up. 25 breasts (30%) showed at least one lesion. The scans were interpreted by six breast diagnostic specialists blinded to results of breast imaging and medical history. 32 lesions received histological work-up: 20 cancers were detected. We used kappa statistics to interpret agreement between examiners and diagnostic instruments. RESULTS: On the basis of the Breast Imaging Reporting and Data System (BI-RADS) classification of the 84 breasts an agreement (defined as ≥4 of 6 examiners) was achieved in 63 cases (75%) (mk=0.35) and even improved when dichotomizing the interpretation in benign (BI-RADS 1, 2) and suspicious (BI-RADS 4, 5) to 98% (mk=0.52). Agreement of ABVS examination to HHUS, mammography and pathology was fair to substantial depending on the specific analysis. CONCLUSIONS: The development of an ABVS seems to be a promising diagnostic method with a good interobserver reliability, as well as a comparable good test criteria as HHUS.
Authors: R Schulz-Wendtland; P Dankerl; G Dilbat; M Bani; P A Fasching; K Heusinger; M P Lux; C R Loehberg; S M Jud; C Rauh; C M Bayer; M W Beckmann; D L Wachter; M Uder; M Meier-Meitinger; B Brehm Journal: Geburtshilfe Frauenheilkd Date: 2015-01 Impact factor: 2.915
Authors: Benedikt Schaefgen; Joerg Heil; Richard G Barr; Marcus Radicke; Aba Harcos; Christina Gomez; Anne Stieber; André Hennigs; Alexandra von Au; Julia Spratte; Geraldine Rauch; Joachim Rom; Florian Schütz; Christof Sohn; Michael Golatta Journal: Eur Radiol Date: 2018-01-04 Impact factor: 5.315
Authors: Benedikt Schaefgen; Marija Juskic; Madeleine Hertel; Richard G Barr; Marcus Radicke; Anne Stieber; André Hennigs; Fabian Riedel; Christof Sohn; Joerg Heil; Michael Golatta Journal: Arch Gynecol Obstet Date: 2021-05-10 Impact factor: 2.344
Authors: Sebastian Wojcinski; Samuel Gyapong; André Farrokh; Philipp Soergel; Peter Hillemanns; Friedrich Degenhardt Journal: BMC Med Imaging Date: 2013-11-12 Impact factor: 1.930