Literature DB >> 22983317

Novel technology of multimodal ultrasound tomography detects breast lesions.

G Zografos1, D Koulocheri, P Liakou, M Sofras, S Hadjiagapis, M Orme, V Marmarelis.   

Abstract

OBJECTIVES: To introduce a new three-dimensional (3D) diagnostic imaging technology, termed "multimodal ultrasonic tomography" (MUT), for the detection of breast cancer without ionising radiation or compression.
METHODS: MUT performs 3D tomography of the pendulant breast in a water-bath using transmission ultrasound in a fixed-coordinate system. Specialised electronic hardware and signal processing algorithms are used to construct multimodal images for each coronal slice, corresponding to measurements of refractivity and frequency-dependent attenuation and dispersion. In-plane pixel size is 0.25 mm × 0.25 mm and the inter-slice interval can vary from 1 to 4 mm, depending on clinical requirements. MUT imaging was performed on 25 patients ("off-label" use for research purposes only), presenting lesions with sizes >10 mm. Histopathology of biopsy samples, obtained from all patients, were used to evaluate the MUT outcomes.
RESULTS: All lesions (21 malignant and four benign) were clearly identified on the MUT images and correctly classified into benign and malignant based on their respective multimodal information. Malignant lesions generally exhibited higher values of refractivity and frequency-dependent attenuation and dispersion.
CONCLUSION: Initial clinical results confirmed the ability of MUT to detect and differentiate all suspicious lesions with sizes >10 mm discernible in mammograms of 25 female patients.

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Year:  2012        PMID: 22983317     DOI: 10.1007/s00330-012-2659-z

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  25 in total

1.  A tangled web: factors likely to affect the efficacy of screening mammography.

Authors:  C J Baines; R Dayan
Journal:  J Natl Cancer Inst       Date:  1999-05-19       Impact factor: 13.506

2.  Breast lesions on sonograms: computer-aided diagnosis with nearly setting-independent features and artificial neural networks.

Authors:  Chung-Ming Chen; Yi-Hong Chou; Ko-Chung Han; Guo-Shian Hung; Chui-Mei Tiu; Hong-Jen Chiou; See-Ying Chiou
Journal:  Radiology       Date:  2003-02       Impact factor: 11.105

3.  Soft tissue differentiation using multiband signatures of high resolution ultrasonic transmission tomography.

Authors:  Jeong-Won Jeong; Tae-Seong Kim; Dae C Shin; Synho Do; Manbir Singh; Vasilis Z Marmarelis
Journal:  IEEE Trans Med Imaging       Date:  2005-03       Impact factor: 10.048

4.  Mammography, breast ultrasound, and magnetic resonance imaging for surveillance of women at high familial risk for breast cancer.

Authors:  Christiane K Kuhl; Simone Schrading; Claudia C Leutner; Nuschin Morakkabati-Spitz; Eva Wardelmann; Rolf Fimmers; Walther Kuhn; Hans H Schild
Journal:  J Clin Oncol       Date:  2005-11-20       Impact factor: 44.544

5.  Differentiation of breast tumors by ultrasonic tissue characterization.

Authors:  R M Golub; R E Parsons; B Sigel; E J Feleppa; J Justin; H A Zaren; M Rorke; J Sokil-Melgar; H Kimitsuki
Journal:  J Ultrasound Med       Date:  1993-10       Impact factor: 2.153

6.  Ultrasound transmission computed tomography of the breast.

Authors:  J S Schreiman; J J Gisvold; J F Greenleaf; R C Bahn
Journal:  Radiology       Date:  1984-02       Impact factor: 11.105

7.  Elastography of breast lesions: initial clinical results.

Authors:  B S Garra; E I Cespedes; J Ophir; S R Spratt; R A Zuurbier; C M Magnant; M F Pennanen
Journal:  Radiology       Date:  1997-01       Impact factor: 11.105

8.  Screening for breast cancer: U.S. Preventive Services Task Force recommendation statement.

Authors: 
Journal:  Ann Intern Med       Date:  2009-11-17       Impact factor: 25.391

Review 9.  How effective are breast cancer screening programmes by mammography? Review of the current evidence.

Authors:  Doris Schopper; Chris de Wolf
Journal:  Eur J Cancer       Date:  2009-04-22       Impact factor: 9.162

10.  Differentiation of cancerous lesions in excised human breast specimens using multiband attenuation profiles from ultrasonic transmission tomography.

Authors:  Jeong-Won Jeong; Dae C Shin; Syn-Ho Do; Cesar Blanco; Nancy E Klipfel; Dennis R Holmes; Linda J Hovanessian-Larsen; Vasilis Z Marmarelis
Journal:  J Ultrasound Med       Date:  2008-03       Impact factor: 2.153

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  6 in total

1.  Differentiation of BIRADS-4 small breast lesions via Multimodal Ultrasound Tomography.

Authors:  G Zografos; P Liakou; D Koulocheri; I Liovarou; M Sofras; S Hadjiagapis; M Orme; V Marmarelis
Journal:  Eur Radiol       Date:  2014-09-14       Impact factor: 5.315

2.  Sparse-view ultrasound diffraction tomography using compressed sensing with nonuniform FFT.

Authors:  Shaoyan Hua; Mingyue Ding; Ming Yuchi
Journal:  Comput Math Methods Med       Date:  2014-04-24       Impact factor: 2.238

3.  Multimodal ultrasound tomography for breast imaging: a prospective study of clinical feasibility.

Authors:  S Forte; S Dellas; B Stieltjes; B Bongartz
Journal:  Eur Radiol Exp       Date:  2017-12-22

Review 4.  Advances in ultrasonography: image formation and quality assessment.

Authors:  Hideyuki Hasegawa
Journal:  J Med Ultrason (2001)       Date:  2021-10-20       Impact factor: 1.314

Review 5.  Ultrasound and Photoacoustic Imaging of Breast Cancer: Clinical Systems, Challenges, and Future Outlook.

Authors:  Karl Kratkiewicz; Alexander Pattyn; Naser Alijabbari; Mohammad Mehrmohammadi
Journal:  J Clin Med       Date:  2022-02-22       Impact factor: 4.241

6.  The state of the art in breast imaging using the Twente Photoacoustic Mammoscope: results from 31 measurements on malignancies.

Authors:  Michelle Heijblom; Daniele Piras; Frank M van den Engh; Margreet van der Schaaf; Joost M Klaase; Wiendelt Steenbergen; Srirang Manohar
Journal:  Eur Radiol       Date:  2016-03-05       Impact factor: 5.315

  6 in total

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