title: Accuracy of an automated breast volume ultrasound system for assessment of the pre-operative extent of pure ductal carcinoma in situ: comparison with a conventional handheld ultrasound examination.
abstract: The goal of the study described here was to compare the accuracy of an automated breast volume scanner (ABVS) with that of hand-held ultrasound (HHUS) in assessing the pre-operative extent of pure ductal carcinoma in situ (DCIS). This prospective study consisted of 33 patients with histopathologically proven pure DCIS who received conventional HHUS and ABVS examinations. The discrepancy and correlation coefficients were calculated to assess differences in sizes determined by imaging and histopathologic examination. Mean age was 51.8 y. Mean lesion size as assessed with the ABVS did not differ significantly from that determined by histopathology. Lesion size was adequately estimated, under-estimated or over-estimated with the ABVS in 64%, 15% and 21% of patients, and with HHUS in 42%, 15% and 42%, respectively (p < 0.05). The coefficient of correlation between histopathologic and ABVS measurements was higher than that between histopathologic and HHUS measurements. The ABVS appears to assess the extent of the lesion better than HHUS and can provide more accurate information pre-operatively.
authors.affiliation: Department of Diagnostic Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China.
authors.forename: Na
authors.initials: N
authors.lastname: Li
authors.forename: Yu-Xin
authors.initials: YX
authors.lastname: Jiang
authors.forename: Qing-Li
authors.initials: QL
authors.lastname: Zhu
authors.forename: Jing
authors.initials: J
authors.lastname: Zhang
authors.forename: Qing
authors.initials: Q
authors.lastname: Dai
authors.forename: He
authors.initials: H
authors.lastname: Liu
authors.forename: Qian
authors.initials: Q
authors.lastname: Yang
authors.forename: Hong-Yan
authors.initials: HY
authors.lastname: Wang
authors.forename: Xing-Jian
authors.initials: XJ
authors.lastname: Lai
authors.forename: Qiang
authors.initials: Q
authors.lastname: Sun
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000601:surgery; D002285:Carcinoma, Intraductal, Noninfiltrating / Q000000981:diagnostic imaging* / Q000601:surgery; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016462:Mammaplasty; D008875:Middle Aged; D010363:Pattern Recognition, Automated / Q000379:methods*; D011300:Preoperative Care / Q000379:methods; D011379:Prognosis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D047368:Tumor Burden; D016217:Ultrasonography, Mammary / Q000379:methods*
keywords: Automated breast volume scanner; Breast sonography; Pre-operative assessment; Pure ductal carcinomas in situ; Surgical guidance; Three-dimensional imaging breast lesions; Tumor measurement