Literature DB >> 22744341

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

Zhi Li Wang1, Jian Hong Xu, Jian Hong Xw, Jun Lai Li, Yan Huang, Jie Tang.   

Abstract

PURPOSE: Our aim was to investigate the diagnostic potential of automated breast volume scanning (ABVS) and compare it with manual ultrasound (US) and mammography. PATIENTS AND METHODS: One hundred and fifty-five patients with a total of 165 breast lesions had mammograms, manual US and an ABVS. Multiplanar reconstructions in coronal, transverse and sagittal views were reconstructed from the automated data set. After biopsy or surgery, all lesions were confirmed histologically. Data were evaluated according to the Breast Imaging Reporting and Data System (BI-RADS) classification. Detection rate, diagnostic accuracy, sensitivity, specificity and positive (PPV) and negative (NPV) predictive value of each method were analysed.
RESULTS: Detection rate, diagnostic accuracy and mammography sensitivity were significantly lower than those of each US method (p<0.05). There were no significant differences between manual US and ABVS. When combining ABVS, US and mammography, diagnostic accuracy, sensitivity and specificity reached 96.4%, 97.1% and 95.2%, respectively. A spiculated and stellate margin in the coronal plane has a high specificity in diagnosing malignant lesions.
CONCLUSIONS: ABVS can provide additional information in the differential diagnosis of a lesion. It has significantly higher sensitivity than mammography, but it is similar to manual US and cannot be preferred to a manual US examination.

Entities:  

Mesh:

Year:  2012        PMID: 22744341     DOI: 10.1007/s11547-012-0836-4

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  15 in total

1.  Three-dimensional ultrasound for the assessment of breast lesions.

Authors:  D O Watermann; M Földi; A Hanjalic-Beck; A Hasenburg; A Lüghausen; H Prömpeler; G Gitsch; E Stickeler
Journal:  Ultrasound Obstet Gynecol       Date:  2005-06       Impact factor: 7.299

2.  Breast cancers initially detected by hand-held ultrasound: detection performance of radiologists using automated breast ultrasound data.

Authors:  Jung Min Chang; Woo Kyung Moon; Nariya Cho; Jeong Seon Park; Seung Ja Kim
Journal:  Acta Radiol       Date:  2011-02-01       Impact factor: 1.990

3.  Analysis of 107 breast lesions with automated 3D ultrasound and comparison with mammography and manual ultrasound.

Authors:  D Kotsianos-Hermle; K M Hiltawsky; S Wirth; T Fischer; K Friese; M Reiser
Journal:  Eur J Radiol       Date:  2008-05-12       Impact factor: 3.528

4.  Vascular imaging with a three-dimensional power Doppler system.

Authors:  D B Downey; A Fenster
Journal:  AJR Am J Roentgenol       Date:  1995-09       Impact factor: 3.959

5.  Differentiating benign from malignant solid breast masses: comparison of two-dimensional and three-dimensional US.

Authors:  Nariya Cho; Woo Kyung Moon; Joo Hee Cha; Sun Mi Kim; Boo-Kyung Han; Eun-Kyung Kim; Mi Hye Kim; Soo Young Chung; Hye-Young Choi; Jung-Gi Im
Journal:  Radiology       Date:  2006-05-09       Impact factor: 11.105

6.  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

7.  Feasibility of performing a virtual patient examination using three-dimensional ultrasonographic data acquired at remote locations.

Authors:  T R Nelson; D H Pretorius; A Lev-Toaff; G Bega; N E Budorick; K A Hollenbach; L Needleman
Journal:  J Ultrasound Med       Date:  2001-09       Impact factor: 2.153

8.  Three-dimensional US of the prostate: early experience.

Authors:  U M Hamper; V Trapanotto; M R DeJong; S Sheth; C I Caskey
Journal:  Radiology       Date:  1999-09       Impact factor: 11.105

9.  Fetal lip and primary palate: three-dimensional versus two-dimensional US.

Authors:  D D Johnson; D H Pretorius; N E Budorick; M C Jones; K V Lou; G M James; T R Nelson
Journal:  Radiology       Date:  2000-10       Impact factor: 11.105

10.  Occult cancer in women with dense breasts: detection with screening US--diagnostic yield and tumor characteristics.

Authors:  T M Kolb; J Lichy; J H Newhouse
Journal:  Radiology       Date:  1998-04       Impact factor: 11.105

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  12 in total

Review 1.  Diagnostic performance of the automated breast volume scanner: a systematic review of inter-rater reliability/agreement and meta-analysis of diagnostic accuracy for differentiating benign and malignant breast lesions.

Authors:  Zheying Meng; Cui Chen; Yitong Zhu; Shuling Zhang; Cong Wei; Bin Hu; Li Yu; Bing Hu; E Shen
Journal:  Eur Radiol       Date:  2015-04-28       Impact factor: 5.315

2.  Evaluation of a Novel Semi-Automated Ultrasound System for the Detection of Synovitis: A Prospective Study involving 45 Patients with Rheumatoid Arthritis.

Authors:  M Witt; J Frielinghausen; R Mueller; F Mueller; F Proft; H Schulze-Koops; M Grunke; D-A Clevert
Journal:  Ultrasound Int Open       Date:  2016-09-14

Review 3.  Automated breast ultrasound: basic principles and emerging clinical applications.

Authors:  Martina Zanotel; Iliana Bednarova; Viviana Londero; Anna Linda; Michele Lorenzon; Rossano Girometti; Chiara Zuiani
Journal:  Radiol Med       Date:  2017-08-28       Impact factor: 3.469

4.  Comparison between automated breast volume scanner (ABVS) versus hand-held ultrasound as a second look procedure after magnetic resonance imaging.

Authors:  Rossano Girometti; Martina Zanotel; Viviana Londero; Massimo Bazzocchi; Chiara Zuiani
Journal:  Eur Radiol       Date:  2017-01-24       Impact factor: 5.315

5.  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

Review 6.  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

7.  Automated Breast Ultrasound: Interobserver Agreement, Diagnostic Value, and Associated Clinical Factors of Coronal-Plane Image Features.

Authors:  Guoxue Tang; Xin An; Huiling Xiang; Lixian Liu; Anhua Li; Xi Lin
Journal:  Korean J Radiol       Date:  2020-05       Impact factor: 3.500

8.  Diagnostic value of an automated breast volume scanner compared with a hand-held ultrasound: a meta-analysis.

Authors:  Xiaohui Zhang; Juan Chen; Yidong Zhou; Feng Mao; Yan Lin; Songjie Shen; Qiang Sun; Zhaolian Ouyang
Journal:  Gland Surg       Date:  2019-12

9.  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

10.  The Value of an Automated Ultrasound System in the Detection of Synovitis.

Authors:  Ruediger Mueller; Mathias Grunke; Jörg Wendler; Florian Schuch; Karina Hofmann-Preiss; Ina Boettger; Rüdiger Jakobs; Hendrik Schulze-Koops; Johannes von Kempis
Journal:  Ultrasound Int Open       Date:  2018-07-11
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