Evidence map›Paper›PMID 27677170›Full record

ArticleJournal of biomedical optics2016

Effects of breast density and compression on normal breast tissue hemodynamics through breast tomosynthesis guided near-infrared spectral tomography.

Kelly E Michaelsen, Venkataramanan Krishnaswamy, Linxi Shi, Srinivasan Vedantham, Andrew Karellas, Brian W Pogue, Keith D Paulsen, Steven P Poplack

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biomedical optics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 85% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

8 authors at 4 institutions in 1 country.

Kelly E MichaelsenDartmouth College, Thayer School of Engineering, 14 Engineering Drive, Hanover, New Hampshire 03755, United States.
Venkataramanan KrishnaswamyDartmouth College, Thayer School of Engineering, 14 Engineering Drive, Hanover, New Hampshire 03755, United States.
Linxi ShiGeorgia Institute of Technology, School of Mechanical Engineering, 801 Ferst Drive, Atlanta, Georgia 30332, United States.
Srinivasan VedanthamUniversity of Massachusetts Medical School, Department of Radiology, 55 Lake Avenue North, Worcester, Massachusetts 01655, United States.
Andrew KarellasUniversity of Massachusetts Medical School, Department of Radiology, 55 Lake Avenue North, Worcester, Massachusetts 01655, United States.
Brian W PogueDartmouth College, Thayer School of Engineering, 14 Engineering Drive, Hanover, New Hampshire 03755, United States.
Keith D PaulsenDartmouth College, Thayer School of Engineering, 14 Engineering Drive, Hanover, New Hampshire 03755, United States.
Steven P PoplackWashington University School of Medicine, Mallinckrodt Institute of Radiology, 4921 Parkview Place, St. Louis, Missouri 63110, United States.
Dartmouth College · USUniversity of Massachusetts Chan Medical School · USGeorgia Institute of Technology · USMallinckrodt (United States) · US

Funding

Optical Imaging Fused with Tomosynthesis for Improved Breast CancerR01CA139449 · NCI · DARTMOUTH COLLEGE · PI PAULSEN, KEITH D. · 2009 to 2013
$2.9M
Combined Breast Tomosynthesis and Near Infrared Spectroscopy for Cancer DetectionF30CA168079 · NCI · DARTMOUTH COLLEGE · PI MICHAELSEN, KELLY · 2013 to 2016
$150k
NCI NIH HHS F30 CA168079NCI NIH HHS R01 CA139449
6 · The paper itself

Abstract

Optically derived tissue properties across a range of breast densities and the effects of breast compression on estimates of hemoglobin, oxygen metabolism, and water and lipid concentrations were obtained from a coregistered imaging system that integrates near-infrared spectral tomography (NIRST) with digital breast tomosynthesis (DBT). Image data were analyzed from 27 women who underwent four IRB approved NIRST/DBT exams that included fully and mildly compressed breast acquisitions in two projections—craniocaudal (CC) and mediolateral-oblique (MLO)—and generated four data sets per patient (full and moderate compression in CC and MLO views). Breast density was correlated with HbT (r=0.64, p=0.001), water (r=0.62, p=0.003), and lipid concentrations (r=?0.74, p<0.001), but not oxygen saturation. CC and MLO views were correlated for individual subjects and demonstrated no statistically significant differences in grouped analysis. Comparison of compressed and uncompressed imaging demonstrated a significant decrease in oxygen saturation under compression (58% versus 50%, p=0.04). Mammographic breast density categorization was correlated with measured optically derived properties.

Identifiers

PMID27677170
PMCPMC5038925
OpenAlexW2526608285

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.