Literature DB >> 30912178

Diagnostic Performance of Automated Breast Ultrasound in Differentiating Benign and Malignant Breast Masses in Asymptomatic Women: A Comparison Study With Handheld Ultrasound.

Lin Niu1, Lingyun Bao1, Luoqian Zhu1, Yanjuan Tan1, Xiaojing Xu1, Yanna Shan2, Jian Liu3, Qingqing Zhu1, Chenxiang Jiang1, Yingzhao Shen1.   

Abstract

OBJECTIVES: Our aim was to investigate the diagnostic potential of an automated breast ultrasound (ABUS) system in differentiating benign and malignant breast masses compared with handheld ultrasound (HHUS).
METHODS: Women were randomly and proportionally selected from outpatients and underwent both HHUS and ABUS examinations. Masses with final American College of Radiology Breast Imaging Reporting and Data System categories 2 and 3 were considered benign. Masses with final Breast Imaging Reporting and Data System categories 4 and 5 were considered malignant. The diagnosis was confirmed by pathologic results or at least a 1-year follow-up. Automated breast US and HHUS were compared on the basis of their sensitivity, specificity, positive predictive value, negative predictive value, and accuracy. Diagnostic consistency and areas under the receiver operating characteristic curves were analyzed. The maximum diameters of masses were compared among HHUS, ABUS, and pathologic results.
RESULTS: A total of 599 masses in 398 women were confirmed by pathologic results or at least a 1-year follow-up; 103 of 599 masses were malignant, and 496 were benign. There were no significant differences between ABUS and HHUS in terms of diagnostic accuracy (80.1% versus 80.6%), specificity (77.62% versus 80.24%), positive predictive value (46.12% versus 46.46%), and negative predictive value (97.96% versus 95.67%). There were significant differences in sensitivity (92.23% versus 82.52%; P < .01) and areas under the curve (0.85 versus 0.81; P < .05) between ABUS and HHUS. The correlation of the maximum diameter was slightly higher between ABUS and pathologic results (r = 0.885) than between HHUS and pathologic results (r = 0.855), but the difference was not significant (P > .05).
CONCLUSIONS: Automated breast US is better than HHUS in differentiating benign and malignant breast masses, especially with respect to specificity.
© 2019 by the American Institute of Ultrasound in Medicine.

Entities:  

Keywords:  Breast Imaging Reporting and Data System; automated breast ultrasound system; breast cancer; handheld ultrasound

Mesh:

Year:  2019        PMID: 30912178     DOI: 10.1002/jum.14991

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


  4 in total

Review 1.  Automatic breast ultrasound: state of the art and future perspectives.

Authors:  Luca Nicosia; Federica Ferrari; Anna Carla Bozzini; Antuono Latronico; Chiara Trentin; Lorenza Meneghetti; Filippo Pesapane; Maria Pizzamiglio; Nicola Balesetreri; Enrico Cassano
Journal:  Ecancermedicalscience       Date:  2020-06-23

Review 2.  Evaluation of Diagnostic Performance of Automatic Breast Volume Scanner Compared to Handheld Ultrasound on Different Breast Lesions: A Systematic Review.

Authors:  Shahad A Ibraheem; Rozi Mahmud; Suraini Mohamad Saini; Hasyma Abu Hassan; Aysar Sabah Keiteb; Ahmed M Dirie
Journal:  Diagnostics (Basel)       Date:  2022-02-19

3.  Associating Automated Breast Ultrasound (ABUS) and Digital Breast Tomosynthesis (DBT) with Full-Field Digital Mammography (FFDM) in Clinical Practice in Cases of Women with Dense Breast Tissue.

Authors:  Ioana Boca Bene; Anca Ileana Ciurea; Ștefan Cristian Vesa; Cristiana Augusta Ciortea; Sorin Marian Dudea; Simona Manole
Journal:  Diagnostics (Basel)       Date:  2022-02-11

4.  Prediction model of axillary lymph node status using automated breast ultrasound (ABUS) and ki-67 status in early-stage breast cancer.

Authors:  Qiucheng Wang; Bo Li; Zhao Liu; Haitao Shang; Hui Jing; Hua Shao; Kexin Chen; Xiaoshuan Liang; Wen Cheng
Journal:  BMC Cancer       Date:  2022-08-28       Impact factor: 4.638

  4 in total

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