Evidence map›Paper›PMID 28447102›Full record

ArticleJournal of biomedical optics2017

Multimodal breast cancer imaging using coregistered dynamic diffuse optical tomography and digital breast tomosynthesis.

Bernhard B Zimmermann, Bin Deng, Bhawana Singh, Mark Martino, Juliette Selb, Qianqian Fang, Amir Y Sajjadi, Jayne Cormier, Richard H Moore, Daniel B Kopans and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 49 citations in OpenAlex.

  1. Trial
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  4. Evolution of tomosynthesis.Journal of medical imaging (Bellingham, Wash.) · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 1 country.

Bernhard B ZimmermannMassachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United StatesbMassachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, Cambridge, Massachusetts, United States.
Bin DengMassachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United StatescHarvard Medical School, Department of Radiology, Boston, Massachusetts, United States.
Bhawana SinghMassachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United StatescHarvard Medical School, Department of Radiology, Boston, Massachusetts, United States.
Mark MartinoMassachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States.
Juliette SelbMassachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United StatescHarvard Medical School, Department of Radiology, Boston, Massachusetts, United States.
Qianqian FangNortheastern University, Department of Bioengineering, Boston, Massachusetts, United States.
Amir Y SajjadiMassachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United StatescHarvard Medical School, Department of Radiology, Boston, Massachusetts, United States.
Jayne CormierMassachusetts General Hospital, Breast Imaging Division, Department of Radiology, Boston, Massachusetts, United States.
Richard H MooreMassachusetts General Hospital, Breast Imaging Division, Department of Radiology, Boston, Massachusetts, United States.
Daniel B KopansHarvard Medical School, Department of Radiology, Boston, Massachusetts, United StateseMassachusetts General Hospital, Breast Imaging Division, Department of Radiology, Boston, Massachusetts, United States.
David A BoasMassachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United StatescHarvard Medical School, Department of Radiology, Boston, Massachusetts, United States.
Mansi A SaksenaHarvard Medical School, Department of Radiology, Boston, Massachusetts, United StateseMassachusetts General Hospital, Breast Imaging Division, Department of Radiology, Boston, Massachusetts, United States.
Stefan A CarpMassachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United StatescHarvard Medical School, Department of Radiology, Boston, Massachusetts, United States.
Harvard University · USAthinoula A. Martinos Center for Biomedical Imaging · USMassachusetts General Hospital · USNortheastern University · US

Funding

3D Optical Imaging and Digital X-Ray of Breast LesionsR01CA097305 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A · 2002 to 2013
$3.8M
Integrated 3D Xray and Dynamic Tomographic Optical Breast Imaging SystemR01CA142575 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A · 2010 to 2014
$2.7M
Dynamic Optical Imaging Biomarkers of Tumor Response to TherapyR01CA187595 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CARP, STEFAN ALEXANDRU · 2015 to 2019
$2.6M
Ultra-high-density, compressive and media- adaptive optical breast tomography platformR01CA204443 · NCI · NORTHEASTERN UNIVERSITY · PI FANG, QIANQIAN · 2016 to 2025
$2.5M
Time Resolved Breast Imaging Using a Combined MRI and Optical Tomography ApproachR00EB011889 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI CARP, STEFAN ALEXANDRU · 2012 to 2014
$725k
NCI NIH HHS R01 CA097305NCI NIH HHS R01 CA142575NCI NIH HHS R01 CA187595NCI NIH HHS R01 CA204443NIBIB NIH HHS R00 EB011889
6 · The paper itself

Abstract

Diffuse optical tomography (DOT) is emerging as a noninvasive functional imaging method for breast cancer diagnosis and neoadjuvant chemotherapy monitoring. In particular, the multimodal approach of combining DOT with x-ray digital breast tomosynthesis (DBT) is especially synergistic as DBT prior information can be used to enhance the DOT reconstruction. DOT, in turn, provides a functional information overlay onto the mammographic images, increasing sensitivity and specificity to cancer pathology. We describe a dynamic DOT apparatus designed for tight integration with commercial DBT scanners and providing a fast (up to 1 Hz) image acquisition rate to enable tracking hemodynamic changes induced by the mammographic breast compression. The system integrates 96 continuous-wave and 24 frequency-domain source locations as well as 32 continuous wave and 20 frequency-domain detection locations into low-profile plastic plates that can easily mate to the DBT compression paddle and x-ray detector cover, respectively. We demonstrate system performance using static and dynamic tissue-like phantoms as well as in vivo images acquired from the pool of patients recalled for breast biopsies at the Massachusetts General Hospital Breast Imaging Division.

Indexed as

BreastBreast NeoplasmsFemaleHumansImage Processing, Computer-AssistedMammographyMiddle AgedMultimodal ImagingNormal DistributionOptics and PhotonicsPhantoms, ImagingRadio WavesTomography, Optical

Identifiers

PMID28447102
PMCPMC5406652
OpenAlexW2609867678

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.