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Automated ultrasound of the breast for diagnosis: interobserver agreement on lesion detection and characterization.
MedLine Citation:
PMID:  21862820     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
OBJECTIVE: The purpose of this study was to prospectively evaluate interobserver agreement on lesion detection and characterization in the review of automated ultrasound images of the breast by five radiologists.
SUBJECTS AND METHODS: From August to October 2009, bilateral whole-breast ultrasound examinations were performed with an automated technique and with a handheld device for 55 women consecutively scheduled to undergo diagnostic ultrasound. Three-dimensional volume data from automated ultrasound were reviewed by five radiologists, who were unaware of the results of ultrasound with a handheld device and mammography and of the clinical information. If a lesion was detected with automated ultrasound, clock-face position, distance from the nipple, largest diameter, and BI-RADS final assessment category were evaluated. If the lesion was a mass, shape, orientation, margin, echogenicity, and posterior feature were analyzed. Intraclass correlation coefficients and kappa statistics were used for statistical analysis.
RESULTS: At least two observers identified 145 lesions with automated ultrasound. Among 725 possible detections, 587 (81%) detections were made. Individual investigators detected between 74% (107/145) and 88% (127/145) of the lesions. The rate of detection of lesions larger than 1.2 cm was 92%. Most lesions detected only with handheld ultrasound (11/12, 92%) or automated ultrasound (34/36, 94%) were cysts or probably benign masses. All intraclass correlation coefficients for lesion location and size exceeded 0.75, indicating high reliability. Substantial agreement was found for mass shape (κ = 0.71), orientation (κ = 0.72), margin (κ = 0.61), and BI-RADS final assessment category (κ = 0.63).
CONCLUSION: Detection of lesions larger than 1.2 cm in greatest diameter was reliable. High reliability was obtained for reporting lesion size and location. Substantial agreement was obtained for description of key feature and final assessment category.
Authors:
Hee Jung Shin; Hak Hee Kim; Joo Hee Cha; Ju Hyun Park; Kyoung Eun Lee; Jeoung Hyun Kim
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  AJR. American journal of roentgenology     Volume:  197     ISSN:  1546-3141     ISO Abbreviation:  AJR Am J Roentgenol     Publication Date:  2011 Sep 
Date Detail:
Created Date:  2011-08-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7708173     Medline TA:  AJR Am J Roentgenol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  747-54     Citation Subset:  AIM; IM    
Affiliation:
Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan, College of Medicine, 86 Asanbyeongwon-gil, Songpa-gu, Seoul, 138-736, South Korea.
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