Literature DB >> 20587431

Effect of a gel retainment dam on automated ultrasound coverage in a dual-modality breast imaging system.

Jie Li1, Mitchell M Goodsitt, Frederic Padilla, J Brian Fowlkes, Fong Ming Hooi, Christine R Lashbrook, Kai E Thomenius, Paul L Carson.   

Abstract

OBJECTIVE: The goal of this work was to evaluate a possible improvement in ultrasound coverage for a dual-modality breast imaging system in the mammographic geometry.
METHODS: A pilot study was performed to evaluate use of a rubber dam to retain ultrasound gel and improve imaging coverage at the breast periphery on a combined imaging system consisting of an ultrasound scanner and a digital x-ray tomosynthesis unit. Several dams were constructed to encompass the shapes of various sizes of compressed breasts. Visual tracings of the breast-to-paddle contact area and breast periphery were made for 8 breasts to estimate coverage area. Two readers independently reviewed the resulting images and were asked to rate the overall breast image quality.
RESULTS: The percentages of breast in contact with the paddle were greater (P < .01) and the linear dimensions of breast in contact with the paddle were larger (P < .05) with the rubber dam than without it. With the dam, the mean estimated area of the breast in contact with the paddle increased 14%, whereas the mean increase in the fraction of the total breast area in contact with paddle was 30%. The difference was due to the mean total projected area of the breast decreasing 12% as the dam was pressed against it. The image quality of automated ultrasound with the rubber dam was consistently judged to be superior to that without the dam.
CONCLUSIONS: This method can enhance the absolute and percentage area of the breast in contact with the paddle, reducing noncontact gaps at the breast periphery. Gently pressing the breast periphery with the dam inserted toward the chest wall improves coverage in automated breast ultrasound scanning.

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Year:  2010        PMID: 20587431      PMCID: PMC3098001          DOI: 10.7863/jum.2010.29.7.1075

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


  15 in total

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Authors:  Ajay Kapur; Paul L Carson; Jeffrey Eberhard; Mitchell M Goodsitt; Kai Thomenius; Murtuza Lokhandwalla; Donald Buckley; Marilyn A Roubidoux; Mark A Helvie; Rebecca C Booi; Gerald L LeCarpentier; Ramon Q Erkamp; Heang-Ping Chan; J Brian Fowlkes; Jerry A Thomas; Cynthia E Landberg
Journal:  Technol Cancer Res Treat       Date:  2004-08

Review 2.  The role of US in breast imaging.

Authors:  V P Jackson
Journal:  Radiology       Date:  1990-11       Impact factor: 11.105

3.  Occult breast masses: use of a mammographic localizing grid for US evaluation.

Authors:  W F Conway; C W Hayes; W H Brewer
Journal:  Radiology       Date:  1991-10       Impact factor: 11.105

4.  Evaluating thin compression paddles for mammographically compatible ultrasound.

Authors:  Rebecca C Booi; Jochen F Krücker; Mitchell M Goodsitt; Matthew O'Donnell; Ajay Kapur; Gerald L LeCarpentier; Marilyn A Roubidoux; J Brian Fowlkes; Paul L Carson
Journal:  Ultrasound Med Biol       Date:  2007-03       Impact factor: 2.998

Review 5.  How reliable is modern breast imaging in differentiating benign from malignant breast lesions in the symptomatic population?

Authors:  H A Moss; P D Britton; C D Flower; A H Freeman; D J Lomas; R M Warren
Journal:  Clin Radiol       Date:  1999-10       Impact factor: 2.350

6.  Mammographically detected breast cancer: location in women under 50 years old.

Authors:  A Stacey-Clear; K A McCarthy; D A Hall; E Pile-Spellman; G White; C A Hulka; G J Whitman; E F Halpern; D B Kopans
Journal:  Radiology       Date:  1993-03       Impact factor: 11.105

7.  Automated quantitative volumetric breast ultrasound data-acquisition system.

Authors:  J A Shipley; F A Duck; D A Goddard; M R Hillman; M Halliwell; M G Jones; B T Thomas
Journal:  Ultrasound Med Biol       Date:  2005-07       Impact factor: 2.998

8.  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

9.  Ultrasound as a complement to mammography and breast examination to characterize breast masses.

Authors:  Kenneth J W Taylor; Christopher Merritt; Catherine Piccoli; Robert Schmidt; Glenn Rouse; Bruno Fornage; Eva Rubin; Dianne Georgian-Smith; Fred Winsberg; Barry Goldberg; Ellen Mendelson
Journal:  Ultrasound Med Biol       Date:  2002-01       Impact factor: 2.998

10.  Automated ultrasound scanning on a dual-modality breast imaging system: coverage and motion issues and solutions.

Authors:  Sumedha P Sinha; Mitchell M Goodsitt; Marilyn A Roubidoux; Rebecca C Booi; Gerald L LeCarpentier; Christine R Lashbrook; Kai E Thomenius; Carl L Chalek; Paul L Carson
Journal:  J Ultrasound Med       Date:  2007-05       Impact factor: 2.153

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  4 in total

1.  Preliminary Clinical Experience with a Combined Automated Breast Ultrasound and Digital Breast Tomosynthesis System.

Authors:  Eric D Larson; Won-Mean Lee; Marilyn A Roubidoux; Mitchell M Goodsitt; Chris Lashbrook; Cynthia E Davis; Oliver D Kripfgans; Paul L Carson
Journal:  Ultrasound Med Biol       Date:  2018-01-05       Impact factor: 2.998

2.  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

3.  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

4.  Automated 3D ultrasound image segmentation to aid breast cancer image interpretation.

Authors:  Peng Gu; Won-Mean Lee; Marilyn A Roubidoux; Jie Yuan; Xueding Wang; Paul L Carson
Journal:  Ultrasonics       Date:  2015-10-31       Impact factor: 2.890

  4 in total

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