Literature DB >> 11930071

Breast US: assessment of technical quality and image interpretation.

Jay A Baker1, Mary Scott Soo.   

Abstract

PURPOSE: To determine whether ultrasonography (US) of the breast performed at a wide range of clinical practices conforms to the American College of Radiology (ACR) standards for quality and to assess the interpretations of breast sonograms.
MATERIALS AND METHODS: Static images from 152 breast US examinations performed at 86 institutions were evaluated for compliance with ACR guidelines for breast US hardware, technical factors, imaging protocol, and image annotation. Official interpretations submitted by the referring facilities were compared with static images submitted by the facility. Discrepancies were confirmed by two dedicated breast radiologists after repeat imaging, short-interval follow-up imaging, or biopsy.
RESULTS: A total of 60.5% of cases did not comply with at least one ACR guideline on breast US and included 9.2% of cases with inadequate equipment, 14.7% of cases with inappropriate focal zone placement, at least 14% of cases with static images in only one imaging plane, and 25% of cases with incomplete patient identifiers. Clinically relevant interpretation errors and interpretation discrepancies were confirmed in 23 (15.1%) of 152 cases.
CONCLUSION: The majority of breast US examinations did not comply with at least some of the standards for quality set forth by the ACR. Attention to these basic standards could substantially improve image quality.

Entities:  

Mesh:

Year:  2002        PMID: 11930071     DOI: 10.1148/radiol.2231011125

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  6 in total

1.  A comparison of logistic regression analysis and an artificial neural network using the BI-RADS lexicon for ultrasonography in conjunction with introbserver variability.

Authors:  Sun Mi Kim; Heon Han; Jeong Mi Park; Yoon Jung Choi; Hoi Soo Yoon; Jung Hee Sohn; Moon Hee Baek; Yoon Nam Kim; Young Moon Chae; Jeon Jong June; Jiwon Lee; Yong Hwan Jeon
Journal:  J Digit Imaging       Date:  2012-10       Impact factor: 4.056

2.  Solid breast mass characterisation: use of the sonographic BI-RADS classification.

Authors:  M Costantini; P Belli; C Ierardi; G Franceschini; G La Torre; L Bonomo
Journal:  Radiol Med       Date:  2007-09-20       Impact factor: 3.469

3.  Frequency-Dependent Spatial Coherence in Conventional and Chirp Transmissions.

Authors:  James Long; Nick Bottenus; Gregg E Trahey
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-04-26       Impact factor: 2.725

4.  Interobserver concordance in the BI-RADS classification of breast ultrasound exams.

Authors:  Maria Julia G Calas; Renan M V R Almeida; Bianca Gutfilen; Wagner C A Pereira
Journal:  Clinics (Sao Paulo)       Date:  2012       Impact factor: 2.365

5.  Low-toxicity FePt nanoparticles for the targeted and enhanced diagnosis of breast tumors using few centimeters deep whole-body photoacoustic imaging.

Authors:  Yubin Liu; Pei-Chun Wu; Sen Guo; Pi-Tai Chou; Chuxia Deng; Shang-Wei Chou; Zhen Yuan; Tzu-Ming Liu
Journal:  Photoacoustics       Date:  2020-04-11

6.  Interobserver and Intraobserver Agreement of Sonographic BIRADS Lexicon in the Assessment of Breast Masses.

Authors:  Eda Elverici; Betul Zengin; Ayse Nurdan Barca; Pinar Didem Yilmaz; Aysegul Alimli; Levent Araz
Journal:  Iran J Radiol       Date:  2013-08-30       Impact factor: 0.212

  6 in total

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