Evidence map›Paper›PMID 21971964›Full record

ReviewAnnals of biomedical engineering2012

Near-infrared optical mammography for breast cancer detection with intrinsic contrast.

Sergio Fantini, Angelo Sassaroli

Abstract readReview
In one paragraph

Review in Annals of biomedical engineering, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
6.0field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
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  4. Finite Element Modeling of Abdominal Near-Infrared Spectroscopy for Infant Splanchnic Oximetry.International journal for numerical methods in biomedical engineering · 2025
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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

2 authors at 1 institution in 1 country.

Sergio FantiniDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA. sergio.fantini@tufts.edu
Angelo Sassaroli
Tufts University · US

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

Optical methods to detect breast cancer on the basis of its increased opacity have been explored for some time. These methods have matured to a point in which they are capable of quantifying the optical properties of breast tissue and translating them into measures of concentrations of relevant tissue components. In particular, near-infrared spectroscopy has been employed to determine the concentrations of hemoglobin, water, and lipids, as well as oxygen saturation of hemoglobin and optical scattering properties in normal and cancerous breast tissue. Dynamic optical measurements can also identify abnormal hemodynamic patterns associated with breast cancer. We review, in this article, a number of results in the field, which show that cancerous tissue is associated with higher hemoglobin and water concentrations, and a lower lipid concentration with respect to normal breast tissue. Indications that breast cancers are characterized by lower hemoglobin saturation and stronger scattering decay as a function of wavelength are less robust, with variable results reported in the literature. Intrinsic sources of optical contrast associated with breast cancer can also be used to monitor individual response to neoadjuvant therapy.

Indexed as

Breast NeoplasmsFemaleHumansMammographySpectroscopy, Near-InfraredTomography, Optical

Identifiers

PMID21971964
PMCPMC3678374
OpenAlexW2147766095

What OpenQuestion holds

Textmetadata
LicenceTDM
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.