Evidence map›Paper›PMID 23296038›Full record

ArticleJournal of biomedical optics2013

Two-step reconstruction method using global optimization and conjugate gradient for ultrasound-guided diffuse optical tomography.

Behnoosh Tavakoli, Quing Zhu

2 registry-linked trialsAbstract read
In one paragraph

Article in Journal of biomedical optics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

NCT00908609 completednot on this map

3-D Simultaneous Ultrasound and NIR Imaging for Breast Cancer Detection

TypeobservationalSponsorUConn HealthRan2007 to 2012Enrolled340ConditionsBreast Cancer
NCT04767659 narecruitingnot on this mapstarted 2020, after this paper: background citation

Optical Monitoring of Neoadjuvant Chemotherapy and Prediction of Pathological Complete Response in Breast Cancer Patients

TypeinterventionalSponsorIRCCS San RaffaeleRan2020 to 2025Enrolled20ConditionsBreast Cancer Female, Chemotherapy EffectArmsMAMMOT2
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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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.

Behnoosh TavakoliUniversity of Connecticut, Electrical and Computer Engineering Department, Storrs, Connecticut 06269, USA.
Quing Zhu

Funding

Near Infrared Diffused Light Imaging with Ultrasound Guidance: Predicting Neoadjuvant Chemotherapy ResponseR01EB002136 · NIBIB · WASHINGTON UNIVERSITY · PI ZHU, QUING · 2003 to 2016
$3.4M
NIBIB NIH HHS R01 EB002136NIBIB NIH HHS R01EB002136
6 · The paper itself

Abstract

Ultrasound-guided diffuse optical tomography (DOT) is a promising method for characterizing malignant and benign lesions in the female breast. We introduce a new two-step algorithm for DOT inversion in which the optical parameters are estimated with the global optimization method, genetic algorithm. The estimation result is applied as an initial guess to the conjugate gradient (CG) optimization method to obtain the absorption and scattering distributions simultaneously. Simulations and phantom experiments have shown that the maximum absorption and reduced scattering coefficients are reconstructed with less than 10% and 25% errors, respectively. This is in contrast with the CG method alone, which generates about 20% error for the absorption coefficient and does not accurately recover the scattering distribution. A new measure of scattering contrast has been introduced to characterize benign and malignant breast lesions. The results of 16 clinical cases reconstructed with the two-step method demonstrates that, on average, the absorption coefficient and scattering contrast of malignant lesions are about 1.8 and 3.32 times higher than the benign cases, respectively.

Indexed as

AbsorptionAdultAgedAged, 80 and overAlgorithmsBreast DiseasesBreast NeoplasmsDiffusionFemaleHumansImage Processing, Computer-AssistedMiddle AgedPhantoms, ImagingTomography, Optical

Identifiers

PMID23296038
PMCPMC3538037

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.