Literature DB >> 21062924

Combined optical and X-ray tomosynthesis breast imaging.

Qianqian Fang1, Juliette Selb, Stefan A Carp, Gregory Boverman, Eric L Miller, Dana H Brooks, Richard H Moore, Daniel B Kopans, David A Boas.   

Abstract

PURPOSE: To explore the optical and physiologic properties of normal and lesion-bearing breasts by using a combined optical and digital breast tomosynthesis (DBT) imaging system.
MATERIALS AND METHODS: Institutional review board approval and patient informed consent were obtained for this HIPAA-compliant study. Combined optical and tomosynthesis imaging analysis was performed in 189 breasts from 125 subjects (mean age, 56 years ± 13 [standard deviation]), including 138 breasts with negative findings and 51 breasts with lesions. Three-dimensional (3D) maps of total hemoglobin concentration (Hb(T)), oxygen saturation (So(2)), and tissue reduced scattering coefficients were interpreted by using the coregistered DBT images. Paired and unpaired t tests were performed between various tissue types to identify significant differences.
RESULTS: The estimated average bulk Hb(T) from 138 normal breasts was 19.2 μmol/L. The corresponding mean So(2) was 0.73, within the range of values in the literature. A linear correlation (R = 0.57, P < .0001) was found between Hb(T) and the fibroglandular volume fraction derived from the 3D DBT scans. Optical reconstructions of normal breasts revealed structures corresponding to chest-wall muscle, fibroglandular, and adipose tissues in the Hb(T), So(2), and scattering images. In 26 malignant tumors of 0.6-2.5 cm in size, Hb(T) was significantly greater than that in the fibroglandular tissue of the same breast (P = .0062). Solid benign lesions (n = 17) and cysts (n = 8) had significantly lower Hb(T) contrast than did the malignant lesions (P = .025 and P = .0033, respectively).
CONCLUSION: The optical and DBT images were structurally consistent. The malignant tumors and benign lesions demonstrated different Hb(T) and scattering contrasts, which can potentially be exploited to reduce the false-positive rate of conventional mammography and unnecessary biopsies. © RSNA, 2010

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21062924      PMCID: PMC3009384          DOI: 10.1148/radiol.10082176

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  28 in total

Review 1.  Non-invasive in vivo characterization of breast tumors using photon migration spectroscopy.

Authors:  B J Tromberg; N Shah; R Lanning; A Cerussi; J Espinoza; T Pham; L Svaasand; J Butler
Journal:  Neoplasia       Date:  2000 Jan-Apr       Impact factor: 5.715

2.  Bulk optical properties of healthy female breast tissue.

Authors:  T Durduran; R Choe; J P Culver; L Zubkov; M J Holboke; J Giammarco; B Chance; A G Yodh
Journal:  Phys Med Biol       Date:  2002-08-21       Impact factor: 3.609

3.  Optical properties of normal and diseased human breast tissues in the visible and near infrared.

Authors:  V G Peters; D R Wyman; M S Patterson; G L Frank
Journal:  Phys Med Biol       Date:  1990-09       Impact factor: 3.609

4.  Compression-induced changes in the physiological state of the breast as observed through frequency domain photon migration measurements.

Authors:  Stefan A Carp; Tina Kauffman; Qianqian Fang; Elizabeth Rafferty; Richard Moore; Daniel Kopans; David Boas
Journal:  J Biomed Opt       Date:  2006 Nov-Dec       Impact factor: 3.170

Review 5.  Screening for cancer with PET and PET/CT: potential and limitations.

Authors:  Heiko Schöder; Mithat Gönen
Journal:  J Nucl Med       Date:  2007-01       Impact factor: 10.057

6.  Digital tomosynthesis in breast imaging.

Authors:  L T Niklason; B T Christian; L E Niklason; D B Kopans; D E Castleberry; B H Opsahl-Ong; C E Landberg; P J Slanetz; A A Giardino; R Moore; D Albagli; M C DeJule; P F Fitzgerald; D F Fobare; B W Giambattista; R F Kwasnick; J Liu; S J Lubowski; G E Possin; J F Richotte; C Y Wei; R F Wirth
Journal:  Radiology       Date:  1997-11       Impact factor: 11.105

Review 7.  Optical imaging in medicine: II. Modelling and reconstruction.

Authors:  S R Arridge; J C Hebden
Journal:  Phys Med Biol       Date:  1997-05       Impact factor: 3.609

8.  Electromagnetic breast imaging: results of a pilot study in women with abnormal mammograms.

Authors:  Steven P Poplack; Tor D Tosteson; Wendy A Wells; Brian W Pogue; Paul M Meaney; Alexander Hartov; Christine A Kogel; Sandra K Soho; Jennifer J Gibson; Keith D Paulsen
Journal:  Radiology       Date:  2007-03-30       Impact factor: 11.105

9.  Time-domain optical mammography SoftScan: initial results.

Authors:  Xavier Intes
Journal:  Acad Radiol       Date:  2005-08       Impact factor: 3.173

Review 10.  Breast cancer imaging with MRI.

Authors:  Elizabeth A Morris
Journal:  Radiol Clin North Am       Date:  2002-05       Impact factor: 2.303

View more
  79 in total

1.  Diagnostic performance of a Near-Infrared Breast Imaging system as adjunct to mammography versus X-ray mammography alone.

Authors:  F Collettini; J C Martin; F Diekmann; E Fallenberg; F Engelken; S Ponder; T J Kroencke; B Hamm; A Poellinger
Journal:  Eur Radiol       Date:  2011-09-27       Impact factor: 5.315

2.  Characterizing breast lesions through robust multimodal data fusion using independent diffuse optical and x-ray breast imaging.

Authors:  Bin Deng; Maxim Fradkin; Jean-Michel Rouet; Richard H Moore; Daniel B Kopans; David A Boas; Mats Lundqvist; Qianqian Fang
Journal:  J Biomed Opt       Date:  2015-08       Impact factor: 3.170

3.  Digital Breast Tomosynthesis: State of the Art.

Authors:  Srinivasan Vedantham; Andrew Karellas; Gopal R Vijayaraghavan; Daniel B Kopans
Journal:  Radiology       Date:  2015-12       Impact factor: 11.105

4.  Anthropomorphic breast phantoms with physiological water, lipid, and hemoglobin content for near-infrared spectral tomography.

Authors:  Kelly E Michaelsen; Venkataramanan Krishnaswamy; Adele Shenoy; Emily Jordan; Brian W Pogue; Keith D Paulsen
Journal:  J Biomed Opt       Date:  2014-02       Impact factor: 3.170

5.  Emerging Breast Imaging Technologies on the Horizon.

Authors:  Srinivasan Vedantham; Andrew Karellas
Journal:  Semin Ultrasound CT MR       Date:  2017-09-13       Impact factor: 1.875

6.  Longitudinal optical monitoring of blood flow in breast tumors during neoadjuvant chemotherapy.

Authors:  J M Cochran; S H Chung; A Leproux; W B Baker; D R Busch; A M DeMichele; J Tchou; B J Tromberg; A G Yodh
Journal:  Phys Med Biol       Date:  2017-04-12       Impact factor: 3.609

Review 7.  Review of quantitative multiscale imaging of breast cancer.

Authors:  Michael A Pinkert; Lonie R Salkowski; Patricia J Keely; Timothy J Hall; Walter F Block; Kevin W Eliceiri
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-22

8.  Quantitative contrast-enhanced spectral mammography based on photon-counting detectors: A feasibility study.

Authors:  Huanjun Ding; Sabee Molloi
Journal:  Med Phys       Date:  2017-06-28       Impact factor: 4.071

9.  Compact ultrasound-guided diffuse optical tomography system for breast cancer imaging.

Authors:  Hamed Vavadi; Atahar Mostafa; Feifei Zhou; K M Shihab Uddin; Murad Althobaiti; Chen Xu; Rajeev Bansal; Foluso Ademuyiwa; Steven Poplack; Quing Zhu
Journal:  J Biomed Opt       Date:  2018-10       Impact factor: 3.170

10.  Diffuse Optical Monitoring of the Neoadjuvant Breast Cancer Therapy.

Authors:  Regine Choe; Turgut Durduran
Journal:  IEEE J Sel Top Quantum Electron       Date:  2011-12-02       Impact factor: 4.544

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.