title: Radiologists' performance in the detection of benign and malignant masses with 3D automated breast ultrasound (ABUS).
abstract: OBJECTIVE
  To retrospectively evaluate the detection performance of benign and malignant breast masses using 3D volume data obtained by ABUS and to determine lesion variables which affect detectability.
  
  
  METHODS
  Between November and December of 2007, bilateral whole breast US images were obtained using ABUS in 67 consecutive women who were scheduled to undergo US-guided needle biopsy due to suspicious breast masses. Twenty-four invasive ductal cancers in 23 breasts, 46 benign breast lesions in 44 breasts and 38 normal breasts were included. Three breast radiologists (experience range, 8-16 years) who did not perform the examinations and were blinded to the histology independently reviewed the ABUS data of the 105 breasts to detect suspicious solid masses with pathology as the standard of reference. Sensitivity and specificity in detecting benign and malignant masses were calculated, and lesion characteristics affecting detectability were analyzed.
  
  
  RESULTS
  Sensitivities for benign and malignant mass detections were 65.2% (30/46), 95.8% (23/24) for reader 1 (p=0.007), 66.7% (31/46), 87.5% (21/24) for reader 2 (p=0.087), and 56.3% (24/46), 91.7% (22/24), for reader 3 (p=0.001), respectively. Logistic analysis showed that mass size (odds ratio, 95% CI; 1.12, 1.02-1.24), surrounding tissue changes (odds ratio, 95% CI; 0.11, 0.02-0.47), and shape of the mass (odds ratio, 95% CI; 3.12, 1.02-9.55) were the variables associated with detectability at ABUS.
  
  
  CONCLUSIONS
  In reader studies using ABUS data, significantly higher sensitivity was noted for malignant breast masses than for benign masses.
authors.affiliation: Department of Radiology and Clinical Research Institute, Seoul National University Hospital and the Institute of Radiation Medicine, Seoul National University Medical Research Center, Republic of Korea.
authors.forename: Jung Min
authors.initials: JM
authors.lastname: Chang
authors.forename: Woo Kyung
authors.initials: WK
authors.lastname: Moon
authors.forename: Nariya
authors.initials: N
authors.lastname: Cho
authors.forename: Jeong Seon
authors.initials: JS
authors.lastname: Park
authors.forename: Seung Ja
authors.initials: SJ
authors.lastname: Kim
mesh_terms: D000328:Adult; D000368:Aged; D001707:Biopsy, Needle; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D016009:Chi-Square Distribution; D002983:Clinical Competence; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008875:Middle Aged; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D018084:Ultrasonography, Interventional; D016217:Ultrasonography, Mammary