Evidence map›Paper›PMID 22006904›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2011

Diffuse optical spectroscopic imaging correlates with final pathological response in breast cancer neoadjuvant chemotherapy.

Albert E Cerussi, Vaya W Tanamai, David Hsiang, John Butler, Rita S Mehta, Bruce J Tromberg

Open access · bronzeAbstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

53 citing papers in PubMed, 114 citations in OpenAlex.

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  12. Direct measurement of the scattering coefficient.Biomedical optics express · 2021
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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

6 authors at 3 institutions in 1 country.

Albert E CerussiLaser Microbeam and Medical Program, Beckman Laser Institute and Medical Clinic, University of California, Irvine, 1002 Health Sciences Road, East, Irvine, CA 92612, USA. acerussi@uci.edu
Vaya W Tanamai
David Hsiang
John Butler
Rita S Mehta
Bruce J Tromberg
University of California, Irvine · USBeckman Laser Institute and Medical Clinic · USUniversity 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
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
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 P30 CA062203NCI NIH HHS P30-CA62203NCI NIH HHS R01 CA142989NCI NIH HHS R01-CA142989NCI NIH HHS U54 CA105480NCI NIH HHS U54-CA105480NCI NIH HHS U54 CA136400NCI NIH HHS U54-CA136400NCRR NIH HHS P41 RR001192NCRR NIH HHS P41-RR01192NIBIB NIH HHS P41 EB015890
6 · The paper itself

Abstract

Diffuse optical spectroscopic imaging (DOSI) non-invasively and quantitatively measures tissue haemoglobin, water and lipid. Pilot studies in small groups of patients demonstrate that DOSI may be useful for longitudinal monitoring and predicting breast cancer neoadjuvant chemotherapy pathological response. This study evaluates the performance of a bedside DOSI platform in 34 breast cancer patients followed for several months. DOSI optical endpoints obtained at multiple timepoints are compared with final pathological response. Thirty-six stage II/III breast cancers (34 patients) were measured in vivo with DOSI prior to, in the middle of and after the completion of pre-surgical neoadjuvant chemotherapy. Cancer therapies ranged from standard anthracyclines to targeted therapies. Changes in DOSI-measured parameters at each timepoint were compared against final surgical pathology. Absolute changes in the tumour-to-normal (T/N) ratio of tissue deoxyhaemoglobin concentration (ctHHb) and relative changes in the T/N ratio of a tissue optical index (TOI) were most sensitive and correlate to pathological response. Changes in ctHHb and TOI were significantly different between tumours that achieved pathological complete response (pCR) versus non-pCR. By therapy midpoint, mean TOI-T/N changes were 47±8 versus 20±5 per cent for pCR versus non-pCR subjects, respectively (Z=0.011). Changes in ctHHb and TOI scaled significantly with the degree of pathological response (non-, partial and complete). DOSI measurements of TOI separated pCR from non-pCR by therapy midpoint regardless of drug or dosing strategy. This approach is well suited to monitoring breast tumour response and may provide feedback for optimizing therapeutic outcomes and minimizing side-effects.

Indexed as

Biomarkers, TumorBreastBreast NeoplasmsFemaleHemoglobinsHumansLipidsMedical OncologyNeoadjuvant TherapyOptics and PhotonicsOxyhemoglobinsScattering, RadiationSpectroscopy, Near-InfraredTime FactorsWaterBiomarkers, TumordeoxyhemoglobinHemoglobinsLipidsOxyhemoglobinsWater

Identifiers

PMID22006904
PMCPMC3263790
OpenAlexW2158322768

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.