Evidence map›Paper›PMID 26849841›Full record

ArticleJournal of biomedical optics2016

Optical mammography: bilateral breast symmetry in hemoglobin saturation maps.

Pamela G Anderson, Angelo Sassaroli, Jana M Kainerstorfer, Nishanth Krishnamurthy, Sirishma Kalli, Shital S Makim, Roger A Graham, Sergio Fantini

Abstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Deep feature-based automatic classification of mammograms.Medical & biological engineering & computing · 2020
    Article
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.

Pamela G AndersonTufts University, Department of Biomedical Engineering, 4 Colby Street, Medford, Massachusetts 02155, United States.
Angelo SassaroliTufts University, Department of Biomedical Engineering, 4 Colby Street, Medford, Massachusetts 02155, United States.
Jana M KainerstorferTufts University, Department of Biomedical Engineering, 4 Colby Street, Medford, Massachusetts 02155, United States.
Nishanth KrishnamurthyTufts University, Department of Biomedical Engineering, 4 Colby Street, Medford, Massachusetts 02155, United States.
Sirishma KalliTufts Medical Center, Department of Radiology, 800 Washington Street, Boston, Massachusetts 02111, United States.
Shital S MakimTufts Medical Center, Department of Radiology, 800 Washington Street, Boston, Massachusetts 02111, United States.
Roger A GrahamTufts Medical Center, Department of Surgery, 800 Washington Street, Boston, Massachusetts 02111, United States.
Sergio FantiniTufts University, Department of Biomedical Engineering, 4 Colby Street, Medford, Massachusetts 02155, United States.

Funding

Near-infrared spectral imaging of the breast for cancer detection and monitoringR01CA154774 · NCI · TUFTS UNIVERSITY MEDFORD · PI FANTINI, SERGIO · 2011 to 2015
$2.2M
NCI NIH HHS R01 CA154774
6 · The paper itself

Abstract

We present a study of the bilateral symmetry of human breast hemoglobin saturation maps measured with a broadband optical mammography instrument. We have imaged 21 patients with unilateral breast cancer, 32 patients with unilateral benign lesions, and 27 healthy patients. An image registration process was applied to the bilateral hemoglobin saturation (SO 2 SO2 ) images by assigning each pixel to the low, middle, or high range of SO 2 SO2 values, where the thresholds for the categories were the 15th and 85th percentiles of the individual saturation range. The Dice coefficient, which is a measure of similarity, was calculated for each patient’s pair of right and left breast SO 2 SO2 images. The invasive cancer patients were found to have an average Dice coefficient value of 0.55±0.07 0.55±0.07 , which was significantly lower than the benign and healthy groups (0.61±0.11 0.61±0.11 and 0.62±0.12 0.62±0.12 , respectively). Although differences were seen in a group analysis, the healthy patient Dice coefficients spanned a wide range, limiting the diagnostic capabilities of this SO 2 SO2 symmetry analysis on an individual basis. Our results suggest that for assessing the SO 2 SO2 contrast of breast lesions, it may be better to select a reference tissue in the ipsilateral rather than the contralateral breast.

Indexed as

AdultAgedBreastFemaleHemoglobinsHumansImage Processing, Computer-AssistedMammographyMiddle AgedOptical ImagingYoung AdultHemoglobins

Identifiers

PMID26849841
PMCPMC4742791

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.