Literature DB >> 20512554

Optimal scanning technique to cover the whole breast using an automated breast volume scanner.

Mitsuhiro Tozaki1, Sachiko Isobe, Miki Yamaguchi, Yukari Ogawa, Masami Kohara, Chanwoong Joo, Eisuke Fukuma.   

Abstract

PURPOSE: The aim of this study was to assess the scanning technique for covering the whole breast using a commercially available automated breast ultrasonography (US) system.
MATERIALS AND METHODS: A total of 40 patients in the supine position underwent automated breast US (ABVS: Siemens Medical Solutions, Mountain View, CA, USA) and hand-held US. The scanning included sequential scans in the upper-outer, lower-outer, lower-inner, and upper-inner regions. After scanning all four segments of each breast using ABVS, hand-held US was performed in all the patients. The detectability of the lesions using the ABVS technique compared with that using the handheld US was evaluated. The average scanning time was compared between any two of the three examiners with various lengths of experience in breast US.
RESULTS: In all, 61 lesions were detected by hand-held US. The average size of the lesions was 7.7 mm (range 2.5-26.0 mm). The number of detected lesions by ABVS was consistent with those found by hand-held US in each patient. The average total scanning time for each examiner using ABVS was 10.9, 11.1, and 11.5 min, respectively. No significant difference was found in the total scanning time between any two of the three examiners.
CONCLUSION: The four-scans technique for the major segments of the breast is thought to be an operator-independent, feasible method for performing automated breast US.

Entities:  

Mesh:

Year:  2010        PMID: 20512554     DOI: 10.1007/s11604-010-0424-2

Source DB:  PubMed          Journal:  Jpn J Radiol        ISSN: 1867-1071            Impact factor:   2.374


  13 in total

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2.  Diagnosis of breast cancer: contribution of US as an adjunct to mammography.

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Journal:  Radiology       Date:  1999-11       Impact factor: 11.105

3.  Hand-held and automated sonomammography. Clinical role relative to X-ray mammography.

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Journal:  Radiology       Date:  1997-04       Impact factor: 11.105

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Journal:  Radiology       Date:  1987-10       Impact factor: 11.105

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Authors:  Ako Itoh; Ei Ueno; Eriko Tohno; Hiroshi Kamma; Hideto Takahashi; Tsuyoshi Shiina; Makoto Yamakawa; Takeshi Matsumura
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Journal:  Radiology       Date:  1986-06       Impact factor: 11.105

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Journal:  Radiology       Date:  1993-10       Impact factor: 11.105

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  14 in total

1.  Comparison of automated breast volume scanning to hand-held ultrasound and mammography.

Authors:  Zhi Li Wang; Jian Hong Xu; Jian Hong Xw; Jun Lai Li; Yan Huang; Jie Tang
Journal:  Radiol Med       Date:  2012-06-28       Impact factor: 3.469

2.  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

3.  Accuracy of determining preoperative cancer extent measured by automated breast ultrasonography.

Authors:  Mitsuhiro Tozaki; Eisuke Fukuma
Journal:  Jpn J Radiol       Date:  2010-12-30       Impact factor: 2.374

4.  Detectability of breast lesions under the nipple using an automated breast volume scanner: comparison with handheld ultrasonography.

Authors:  Sachiko Isobe; Mitsuhiro Tozaki; Miki Yamaguchi; Yukari Ogawa; Kanako Homma; Rie Satomi; Masahiro Saito; Chanwoong Joo; Eisuke Fukuma
Journal:  Jpn J Radiol       Date:  2011-06-30       Impact factor: 2.374

Review 5.  [Automated breast volume scanner (ABVS) : a new approach for breast imaging].

Authors:  N K Wöhrle; K Hellerhoff; M Notohamiprodjo; M F Reiser; D-A Clevert
Journal:  Radiologe       Date:  2010-11       Impact factor: 0.635

6.  Breast mass characterization using 3-dimensional automated ultrasound as an adjunct to digital breast tomosynthesis: a pilot study.

Authors:  Frederic Padilla; Marilyn A Roubidoux; Chintana Paramagul; Sumedha P Sinha; Mitchell M Goodsitt; Gerald L Le Carpentier; Heang-Ping Chan; Lubomir M Hadjiiski; J Brian Fowlkes; Annette D Joe; Katherine A Klein; Alexis V Nees; Mitra Noroozian; Stephanie K Patterson; Renee W Pinsky; Fong Ming Hooi; Paul L Carson
Journal:  J Ultrasound Med       Date:  2013-01       Impact factor: 2.153

7.  3D Automated Breast Ultrasound System: Comparison of Interpretation Time of Senior Versus Junior Radiologist.

Authors:  Aydan Arslan; Gökhan Ertaş; Erkin Arıbal
Journal:  Eur J Breast Health       Date:  2019-07-01

8.  The Automated Breast Volume Scanner (ABVS): initial experiences in lesion detection compared with conventional handheld B-mode ultrasound: a pilot study of 50 cases.

Authors:  Sebastian Wojcinski; Andre Farrokh; Ursula Hille; Jakub Wiskirchen; Samuel Gyapong; Amr A Soliman; Friedrich Degenhardt; Peter Hillemanns
Journal:  Int J Womens Health       Date:  2011-10-11

9.  Combined use of the automated breast volume scanner and the US elastography for the differentiation of benign from malignant lesions of the breast.

Authors:  Chaoli Xu; Shuping Wei; Yingdong Xie; Xiaoxiang Guan; Ninghua Fu; Pengfei Huang; Bin Yang
Journal:  BMC Cancer       Date:  2014-11-03       Impact factor: 4.430

10.  Diagnostic performance and inter-observer concordance in lesion detection with the automated breast volume scanner (ABVS).

Authors:  Sebastian Wojcinski; Samuel Gyapong; André Farrokh; Philipp Soergel; Peter Hillemanns; Friedrich Degenhardt
Journal:  BMC Med Imaging       Date:  2013-11-12       Impact factor: 1.930

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