Evidence map›Paper›PMID 26833069›Full record

ArticleBMC cancer2016

US-localized diffuse optical tomography in breast cancer: comparison with pharmacokinetic parameters of DCE-MRI and with pathologic biomarkers.

Min Jung Kim, Min-Ying Su, Hon J Yu, Jeon-Hor Chen, Eun-Kyung Kim, Hee Jung Moon, Ji Soo Choi

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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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

7 authors at 3 institutions in 3 countries.

Min Jung KimDepartment of Radiology, Breast Cancer Clinic, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea. mines@yuhs.ac.
Min-Ying SuDepartment of Radiological Sciences, University of California, Irvine, CA, USA. msu@uci.edu.
Hon J YuDepartment of Radiological Sciences, University of California, Irvine, CA, USA. hjyu@uci.edu.
Jeon-Hor ChenDepartment of Radiological Sciences, University of California, Irvine, CA, USA. jeonhc@uci.edu.
Eun-Kyung KimDepartment of Radiology, Breast Cancer Clinic, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea. ekkim@yuhs.ac.
Hee Jung MoonDepartment of Radiology, Breast Cancer Clinic, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea. artemis4u@yuhs.ac.
Ji Soo ChoiDepartment of Radiology, Breast Cancer Clinic, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea. zzisu@hanmail.net.
University of California, Irvine · USYonsei University · KRHansung University · KR

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
Prediction of Neoadjuvant Chemo Pathological Response Using MRI MarkersR01CA127927 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI SU, MIN-YING L. · 2008 to 2017
$5.0M
NCI NIH HHS P30 CA062203NCI NIH HHS R01 CA127927
6 · The paper itself

Abstract

backgroundTo correlate parameters of Ultrasonography-guided Diffuse optical tomography (US-DOT) with pharmacokinetic features of Dynamic contrast-enhanced (DCE)-MRI and pathologic markers of breast cancer.

methodsOur institutional review board approved this retrospective study and waived the requirement for informed consent. Thirty seven breast cancer patients received US-DOT and DCE-MRI with less than two weeks in between imaging sessions. The maximal total hemoglobin concentration (THC) measured by US-DOT was correlated with DCE-MRI pharmacokinetic parameters, which included K(trans), k ep and signal enhancement ratio (SER). These imaging parameters were also correlated with the pathologic biomarkers of breast cancer.

resultsThe parameters THC and SER showed marginal positive correlation (r = 0.303, p = 0.058). Tumors with high histological grade, negative ER, and higher Ki-67 expression ≥ 20% showed statistically higher THC values compared to their counterparts (p = 0.019, 0.041, and 0.023 respectively). Triple-negative (TN) breast cancers showed statistically higher K(trans) values than non-TN cancers (p = 0.048).

conclusionTHC obtained from US-DOT and K(trans) obtained from DCE-MRI were associated with biomarkers indicative of a higher aggressiveness in breast cancer. Although US-DOT and DCE-MRI both measured the vascular properties of breast cancer, parameters from the two imaging modalities showed a weak association presumably due to their different contrast mechanisms and depth sensitivities.

Indexed as

Biomarkers, TumorBreast NeoplasmsContrast MediaErb-b2 Receptor Tyrosine KinasesEstrogen Receptor alphaFemaleHemoglobinsHumansImage Interpretation, Computer-AssistedKi-67 AntigenMagnetic Resonance ImagingMolecular ImagingNeovascularization, PathologicPrognosisRadiographyReceptors, ProgesteroneBiomarkers, TumorContrast MediaERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesESR1 protein, humanEstrogen Receptor alphaHemoglobinsKi-67 AntigenReceptors, Progesterone

Identifiers

PMID26833069
PMCPMC4736271
OpenAlexW2253091998

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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.