Evidence map›Paper›PMID 26942698›Full record

ArticleOncotarget2016

Multiparametric monitoring of chemotherapy treatment response in locally advanced breast cancer using quantitative ultrasound and diffuse optical spectroscopy.

William T Tran, Charmaine Childs, Lee Chin, Elzbieta Slodkowska, Lakshmanan Sannachi, Hadi Tadayyon, Elyse Watkins, Sharon Lemon Wong, Belinda Curpen, Ahmed El Kaffas and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

13 authors at 3 institutions in 2 countries.

William T TranDepartment of Radiation Oncology, Sunnybrook Hospital, Toronto, Canada.
Charmaine ChildsCentre for Health and Social Care Research, Sheffield Hallam University, Sheffield, UK.
Lee ChinDepartment of Radiation Oncology, Sunnybrook Hospital, Toronto, Canada.
Elzbieta SlodkowskaDivision of Anatomic Pathology, Sunnybrook Hospital, Toronto, Canada.
Lakshmanan SannachiDepartment of Radiation Oncology, Sunnybrook Hospital, Toronto, Canada.
Hadi TadayyonDepartment of Radiation Oncology, Sunnybrook Hospital, Toronto, Canada.
Elyse WatkinsDepartment of Radiation Oncology, Sunnybrook Hospital, Toronto, Canada.
Sharon Lemon WongDepartment of Nursing, Sunnybrook Hospital, Toronto, Canada.
Belinda CurpenDivision of Radiology, Sunnybrook Hospital, Toronto, Canada.
Ahmed El KaffasDepartment of Radiation Oncology, Sunnybrook Hospital, Toronto, Canada.
Azza Al-MahroukiDepartment of Radiation Oncology, Sunnybrook Hospital, Toronto, Canada.
Ali Sadeghi-NainiDepartment of Radiation Oncology, Sunnybrook Hospital, Toronto, Canada.
Gregory J CzarnotaDepartment of Radiation Oncology, University of Toronto, Toronto, Canada.
Sunnybrook Hospital · CAUniversity of Toronto · CASheffield Hallam University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study evaluated pathological response to neoadjuvant chemotherapy using quantitative ultrasound (QUS) and diffuse optical spectroscopy imaging (DOSI) biomarkers in locally advanced breast cancer (LABC). MATERIALS AND

methodsThe institution's ethics review board approved this study. Subjects (n = 22) gave written informed consent prior to participating. US and DOSI data were acquired, relative to the start of neoadjuvant chemotherapy, at weeks 0, 1, 4, 8 and preoperatively. QUS parameters including the mid-band fit (MBF), 0-MHz intercept (SI), and the spectral slope (SS) were determined from tumor ultrasound data using spectral analysis. In the same patients, DOSI was used to measure parameters relating to tumor hemoglobin and composition. Discriminant analysis and receiver-operating characteristic (ROC) analysis was used to classify clinical and pathological response during treatment and to estimate the area under the curve (AUC). Additionally, multivariate analysis was carried out for pairwise QUS/DOSI parameter combinations using a logistic regression model.

resultsIndividual QUS and DOSI parameters, including the (SI), oxy-hemoglobin (HbO2), and total hemoglobin (HbT) were significant markers for response after one week of treatment (p < 0.01). Multivariate (pairwise) combinations increased the sensitivity, specificity and AUC at this time; the SI + HbO2 showed a sensitivity/specificity of 100%, and an AUC of 1.0.

conclusionsQUS and DOSI demonstrated potential as coincident markers for treatment response and may potentially facilitate response-guided therapies. Multivariate QUS and DOSI parameters increased the sensitivity and specificity of classifying LABC patients as early as one week after treatment.

Indexed as

AdultAgedBreast NeoplasmsChemotherapy, AdjuvantFemaleHemoglobinsHumansLogistic ModelsMiddle AgedMonitoring, PhysiologicMultivariate AnalysisOptical ImagingOutcome Assessment, Health CareReproducibility of ResultsROC CurveSpectrum AnalysisHemoglobinsdiffuse optical spectroscopylocally advanced breast cancerneoadjuvant chemotherapyquantitative ultrasoundtreatment monitoring

Identifiers

PMID26942698
PMCPMC4991417
OpenAlexW2338317220

What OpenQuestion holds

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LicenceCC BY
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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.