Evidence map›Paper›PMID 23433249›Full record

ArticleBreast cancer research : BCR2013

Optical imaging correlates with magnetic resonance imaging breast density and reveals composition changes during neoadjuvant chemotherapy.

Thomas D O'Sullivan, Anaïs Leproux, Jeon-Hor Chen, Shadfar Bahri, Alex Matlock, Darren Roblyer, Christine E McLaren, Wen-Pin Chen, Albert E Cerussi, Min-Ying Su and 1 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 77 citations in OpenAlex.

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  8. Characterizing tourniquet induced hemodynamics during total knee arthroplasty using diffuse optical spectroscopy.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023
    Observational
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  20. Emerging Breast Imaging Technologies on the Horizon.Seminars in ultrasound, CT, and MR · 2018
    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

11 authors at 4 institutions in 2 countries.

Thomas D O'Sullivan
Anaïs Leproux
Jeon-Hor Chen
Shadfar Bahri
Alex Matlock
Darren Roblyer
Christine E McLaren
Wen-Pin Chen
Albert E Cerussi
Min-Ying Su
Bruce J Tromberg
University of California, Irvine · USBeckman Laser Institute and Medical Clinic · USE-Da Hospital · TWUniversity of California, Irvine Medical Center · US

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
WOUND MIGRATION FORCE MONITORINGP41RR001192 · NCRR · UNIVERSITY OF CALIFORNIA-IRVINE · PI LYUBOVITSKY, JULIA · 1985 to 2011
$14.2M
CARCINOGENESIST32CA009054 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI EDINGER, AIMEE L, FRUMAN, DAVID ALEXANDER · 1985 to 2025
$8.6M
Virtual Photonocs TechnologiesP41EB015890 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI DURKIN, ANTHONY J · 2012 to 2017
$7.0M
SPATIAL /SPECTRAL TOMOGRAPHY FOR FUNCTIONAL SPECTROSCOPYU54CA105480 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI TROMBERG, BRUCE J · 2003 to 2007
$6.6M
Prediction of Neoadjuvant Chemo Pathological Response Using MRI MarkersR01CA127927 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI SU, MIN-YING L. · 2008 to 2017
$5.0M
Developing DOSI Technology for Monitoring Response To Breast Cancer ChemotherapyR01CA142989 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI DURKIN, ANTHONY J · 2010 to 2017
$4.1M
Monitoring Breast Cancer Chemotherapeutic Response Using DOSI, MRI and BiomarkersU54CA136400 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI TROMBERG, BRUCE J. · 2009 to 2011
$1.3M
NCI NIH HHS 2P30CA62203NCI NIH HHS P30 CA062203NCI NIH HHS R01 CA127927NCI NIH HHS R01-CA127927NCI NIH HHS R01 CA142989NCI NIH HHS R01-CA142989NCI NIH HHS T32 CA009054NCI NIH HHS T32CA009054NCI NIH HHS U54-CA105480NCI NIH HHS U54-CA136400NCRR NIH HHS P41RR01192NIBIB NIH HHS P41 EB015890NIBIB NIH HHS P41EB015890
6 · The paper itself

Abstract

introductionIn addition to being a risk factor for breast cancer, breast density has been hypothesized to be a surrogate biomarker for predicting response to endocrine-based chemotherapies. The purpose of this study was to evaluate whether a noninvasive bedside scanner based on diffuse optical spectroscopic imaging (DOSI) provides quantitative metrics to measure and track changes in breast tissue composition and density. To access a broad range of densities in a limited patient population, we performed optical measurements on the contralateral normal breast of patients before and during neoadjuvant chemotherapy (NAC). In this work, DOSI parameters, including tissue hemoglobin, water, and lipid concentrations, were obtained and correlated with magnetic resonance imaging (MRI)-measured fibroglandular tissue density. We evaluated how DOSI could be used to assess breast density while gaining new insight into the impact of chemotherapy on breast tissue.

methodsThis was a retrospective study of 28 volunteers undergoing NAC treatment for breast cancer. Both 3.0-T MRI and broadband DOSI (650 to 1,000 nm) were obtained from the contralateral normal breast before and during NAC. Longitudinal DOSI measurements were used to calculate breast tissue concentrations of oxygenated and deoxygenated hemoglobin, water, and lipid. These values were compared with MRI-measured fibroglandular density before and during therapy.

resultsWater (r = 0.843; P < 0.001), deoxyhemoglobin (r = 0.785; P = 0.003), and lipid (r = -0.707; P = 0.010) concentration measured with DOSI correlated strongly with MRI-measured density before therapy. Mean DOSI parameters differed significantly between pre- and postmenopausal subjects at baseline (water, P < 0.001; deoxyhemoglobin, P = 0.024; lipid, P = 0.006). During NAC treatment measured at about 90 days, significant reductions were observed in oxyhemoglobin for pre- (-20.0%; 95% confidence interval (CI), -32.7 to -7.4) and postmenopausal subjects (-20.1%; 95% CI, -31.4 to -8.8), and water concentration for premenopausal subjects (-11.9%; 95% CI, -17.1 to -6.7) compared with baseline. Lipid increased slightly in premenopausal subjects (3.8%; 95% CI, 1.1 to 6.5), and water increased slightly in postmenopausal subjects (4.4%; 95% CI, 0.1 to 8.6). Percentage change in water at the end of therapy compared with baseline correlated strongly with percentage change in MRI-measured density (r = 0.864; P = 0.012).

conclusionsDOSI functional measurements correlate with MRI fibroglandular density, both before therapy and during NAC. Although from a limited patient dataset, these results suggest that DOSI may provide new functional indices of density based on hemoglobin and water that could be used at the bedside to assess response to therapy and evaluate disease risk.

Indexed as

Magnetic Resonance ImagingOptical ImagingAdultAgedBreast DensityBreast NeoplasmsFemaleHumansMammary Glands, HumanMiddle AgedNeoadjuvant TherapyPremenopauseRadiographyRetrospective Studies

Identifiers

PMID23433249
PMCPMC3672664
OpenAlexW1989560325

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.