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Cited by 793

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Concurrent MRI and diffuse optical tomography of breast after indocyanine green enhancement

Open access
Ntziachristos, Vasilis, Yodh, A. G., Schnall, Mitchell, Chance, Britton·2000·Proceedings of the National Academy of Sciences

Abstract

We present quantitative optical images of human breast in vivo. The images were obtained by using near-infrared diffuse optical tomography (DOT) after the administration of indocyanine green (ICG) for contrast enhancement. The optical examination was performed concurrently with a magnetic resonance imaging (MRI) exam on patients scheduled for excisional biopsy or surgery so that accurate image coregistration and histopathological information of the suspicious lesions was available. The ICG-enhanced optical images coregistered accurately with Gadolinium-enhanced magnetic resonance images validating the ability of DOT to image breast tissue. In contrast to simple transillumination, we found that DOT provides for localization and quantification of exogenous tissue chromophore concentrations. Additionally our use of ICG, an albumin bound absorbing dye in plasma, demonstrates the potential to differentiate disease based on the quantified enhancement of suspicious lesions.

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Crossref · 10.1073/pnas.040570597

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Metadata

Authors
Ntziachristos, V., Yodh, A. G., Schnall, M., & Chance, B.
Venue
Proceedings of the National Academy of Sciences
Published
2000-03-07
Volume
97
Issue
6
Pages
2767-2772
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2017054309
Cited by
793
References
1
FWCI
39.73
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Concurrent MRI and diffuse optical tomography of breast after indocyanine green enhancement. https://app.cochat.ai/papers/10.1073/pnas.040570597
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Ntziachristos, V., Yodh, A. G., Schnall, M., & Chance, B. (2000). Concurrent MRI and diffuse optical tomography of breast after indocyanine green enhancement. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.040570597

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.