Literature DB >> 30673925

A computer-assisted system for handheld whole-breast ultrasonography.

Filip Šroubek1, Michal Bartoš2, Jan Schier2, Zuzana Bílková2, Barbara Zitová2, Jan Vydra3, Iva Macová4, Jan Daneš4, Lukáš Lambert4.   

Abstract

PURPOSE: Breast ultrasonography (US) presents an alternative to mammography in young asymptomatic individuals and a complementary examination in screening of women with dense breasts. Handheld US is the standard-of-care, yet when used in whole-breast examination, no effort has been devoted to monitoring breast coverage and missed regions, which is the purpose of this study.
METHODS: We introduce a computer-aided system assisting radiologists and US technologists in covering the whole breast with minimum alteration to the standard workflow. The proposed system comprises a standard US device, proprietary electromagnetic 3D tracking technology and software that combines US visual and tracking data to estimate a probe trajectory, total time spent in different breast segments, and a map of missed regions. A case study, which involved four radiologists (two junior and two senior) performing whole-breast ultrasound in 75 asymptomatic patients, was conducted to test the importance and relevance of the system.
RESULTS: The mean process time per breast was [Formula: see text], with no statistically significant difference between the left and the right sides, and slightly longer examination time of junior radiologists. The process time density shows that central parts of the breast have better coverage compared to the periphery. Within the central part, missed regions of minimum detectable size of [Formula: see text] occur in [Formula: see text] of examinations, and non-negligible [Formula: see text] regions occur in [Formula: see text] of cases.
CONCLUSION: The results of the case study indicate that missed regions are present in handheld whole-breast US, which renders the proposed system for tracking the probe position during examination a valuable tool for monitoring coverage.

Entities:  

Keywords:  Breast; Cancer; Coverage; Screening; Tracking; Ultrasound

Mesh:

Year:  2019        PMID: 30673925     DOI: 10.1007/s11548-018-01909-7

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  19 in total

1.  Simultaneous Electromagnetic Tracking and Calibration for Dynamic Field Distortion Compensation.

Authors:  Hossein Sadjadi; Keyvan Hashtrudi-Zaad; Gabor Fichtinger
Journal:  IEEE Trans Biomed Eng       Date:  2015-11-19       Impact factor: 4.538

2.  3D ultrasound registration-based visual servoing for neurosurgical navigation.

Authors:  Oliver Zettinig; Benjamin Frisch; Salvatore Virga; Marco Esposito; Anna Rienmüller; Bernhard Meyer; Christoph Hennersperger; Yu-Mi Ryang; Nassir Navab
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-02-24       Impact factor: 2.924

3.  Second-look US Using Real-time Virtual Sonography, a Coordinated Breast US and MRI System with Electromagnetic Tracking Technology: A Pilot Study.

Authors:  Rie Watanabe; Takahito Ando; Manami Osawa; Mirai Ido; Junko Kousaka; Yukako Mouri; Kimihito Fujii; Shogo Nakano; Junko Kimura; Tsuneo Ishiguchi; Miwa Yoshida; Tsuneo Imai; Takashi Fukutomi
Journal:  Ultrasound Med Biol       Date:  2017-06-27       Impact factor: 2.998

4.  Whole-Breast Ultrasound for Breast Screening and Archiving.

Authors:  Chiun-Sheng Huang; Ya-Wen Yang; Rong-Tai Chen; Chung-Ming Lo; Chao Lo; Ching-Fen Cheng; Chao-Shuan Lee; Ruey-Feng Chang
Journal:  Ultrasound Med Biol       Date:  2017-03-07       Impact factor: 2.998

Review 5.  Automated whole breast ultrasound.

Authors:  Stuart S Kaplan
Journal:  Radiol Clin North Am       Date:  2014-05       Impact factor: 2.303

6.  A novel breast ultrasound system for providing coronal images: system development and feasibility study.

Authors:  Wei-wei Jiang; Cheng Li; An-hua Li; Yong-Ping Zheng
Journal:  Ultrasonics       Date:  2014-09-27       Impact factor: 2.890

7.  The performance of 3D ABUS versus HHUS in the visualisation and BI-RADS characterisation of breast lesions in a large cohort of 1,886 women.

Authors:  Athina Vourtsis; Aspasia Kachulis
Journal:  Eur Radiol       Date:  2017-08-21       Impact factor: 5.315

8.  Ultrasound as the Primary Screening Test for Breast Cancer: Analysis From ACRIN 6666.

Authors:  Wendie A Berg; Andriy I Bandos; Ellen B Mendelson; Daniel Lehrer; Roberta A Jong; Etta D Pisano
Journal:  J Natl Cancer Inst       Date:  2015-12-28       Impact factor: 13.506

9.  Automated Breast Ultrasound: Dual-Sided Compared with Single-Sided Imaging.

Authors:  Eric D Larson; Won-Mean Lee; Marilyn A Roubidoux; Mitchel M Goodsitt; Chris Lashbrook; Fouzaan Zafar; Oliver D Kripfgans; Kai Thomenius; Paul L Carson
Journal:  Ultrasound Med Biol       Date:  2016-06-03       Impact factor: 2.998

Review 10.  Current status of automated breast ultrasonography.

Authors:  Hee Jung Shin; Hak Hee Kim; Joo Hee Cha
Journal:  Ultrasonography       Date:  2015-03-23
View more
  1 in total

1.  The hidden breast lesions: A case report of bilateral breast cancer.

Authors:  Chaochao Dai; Lingyun Bao; Yanjuan Tan; Chenxiang Jiang
Journal:  J Clin Ultrasound       Date:  2021-12-25       Impact factor: 0.869

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.