Literature DB >> 16632790

Characterization of solid breast masses: use of the sonographic breast imaging reporting and data system lexicon.

Melania Costantini1, Paolo Belli, Roberta Lombardi, Gianluca Franceschini, Antonino Mulè, Lorenzo Bonomo.   

Abstract

OBJECTIVE: The purpose of this study was to determine the reliability of sonographic American College of Radiology Breast Imaging Reporting And Data System (BI-RADS) classification in differentiating benign from malignant breast masses.
METHODS: One hundred seventy-eight breast masses studied by sonography with a known diagnosis were reviewed. All lesions were classified according to the sonographic BI-RADS lexicon. Pathologic results were compared with sonographic features. Sensitivity, specificity, accuracy, and positive predictive value (PPV) and negative predictive value (NPV) for the sonographic BI-RADS lexicon were calculated.
RESULTS: Twenty-six cases were assigned to class 3, 73 to class 4, and 79 to class 5. Pathologic results revealed 105 malignant and 73 benign lesions. The sonographic BI-RADS lexicon showed 71.3% accuracy, 98.1% sensitivity, 32.9% specificity, 67.8% PPV, and 92.3% NPV. The NPV for class 3 was 92.3%. The PPVs for classes 4 and 5 were 46.6% and 87.3%. Typical signs of malignancy were irregular shape, antiparallel orientation, noncircumscribed margin, echogenic halo, and decreased sound transmission. Typical signs of benignity were oval shape and circumscribed margin.
CONCLUSIONS: The sonographic BI-RADS lexicon is an important system for describing and classifying breast lesions.

Entities:  

Mesh:

Year:  2006        PMID: 16632790     DOI: 10.7863/jum.2006.25.5.649

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  35 in total

1.  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

2.  Quantification of the UK 5-point breast imaging classification and mapping to BI-RADS to facilitate comparison with international literature.

Authors:  K Taylor; P Britton; S O'Keeffe; M G Wallis
Journal:  Br J Radiol       Date:  2011-11       Impact factor: 3.039

3.  Ultrasonographic characteristics and BI-RADS-US classification of BRCA1 mutation-associated breast cancer in Guangxi, China.

Authors:  Cheng Li; Junjie Liu; Sida Wang; Yuanyuan Chen; Zhigang Yuan; Jian Zeng; Zhixian Li
Journal:  Int J Clin Exp Med       Date:  2015-02-15

4.  Nonpalpable BI-RADS 4 breast lesions: sonographic findings and pathology correlation.

Authors:  Eda Elverici; Ayşe Nurdan Barça; Hafize Aktaş; Arzu Özsoy; Betül Zengin; Mehtap Çavuşoğlu; Levent Araz
Journal:  Diagn Interv Radiol       Date:  2015 May-Jun       Impact factor: 2.630

Review 5.  Breast ultrasound image segmentation: a survey.

Authors:  Qinghua Huang; Yaozhong Luo; Qiangzhi Zhang
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-01-09       Impact factor: 2.924

6.  Combination of elastography and tissue quantification using the acoustic radiation force impulse (ARFI) technology for differential diagnosis of breast masses.

Authors:  Mitsuhiro Tozaki; Sachiko Isobe; Masaaki Sakamoto
Journal:  Jpn J Radiol       Date:  2012-07-18       Impact factor: 2.374

7.  Category assessment based on 3D volume data acquired by automated breast ultrasonography.

Authors:  Mitsuhiro Tozaki; Eisuke Fukuma
Journal:  Jpn J Radiol       Date:  2011-12-17       Impact factor: 2.374

8.  Elastography ultrasound for breast lesions: fat-to-lesion strain ratio vs gland-to-lesion strain ratio.

Authors:  JianQiao Zhou; Chun Zhou; WeiWei Zhan; XiaoHong Jia; YiJie Dong; ZhiFang Yang
Journal:  Eur Radiol       Date:  2014-09-03       Impact factor: 5.315

9.  Comparison between fine needle aspiration cytology (FNAC) and core needle biopsy (CNB) in the diagnosis of breast lesions.

Authors:  M Moschetta; M Telegrafo; D A Carluccio; J P Jablonska; L Rella; Gabriella Serio; M Carrozzo; A A Stabile Ianora; G Angelelli
Journal:  G Chir       Date:  2014 Jul-Aug

10.  Probably benign lesions at screening breast US in a population with elevated risk: prevalence and rate of malignancy in the ACRIN 6666 trial.

Authors:  Richard G Barr; Zheng Zhang; Jean B Cormack; Ellen B Mendelson; Wendie A Berg
Journal:  Radiology       Date:  2013-10-28       Impact factor: 11.105

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.