Evidence map›Paper›PMID 27436049›Full record

ArticleJournal of biomedical optics2016

Differential diagnosis of breast masses in South Korean premenopausal women using diffuse optical spectroscopic imaging.

Anaïs Leproux, You Me Kim, Jun Won Min, Christine E McLaren, Wen-Pin Chen, Thomas D O'Sullivan, Seung-Ha Lee, Phil-Sang Chung, Bruce J Tromberg

Open access · hybridAbstract read
In one paragraph

Article in Journal of biomedical optics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 16 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

9 authors at 5 institutions in 2 countries.

Anaïs LeprouxUniversity of California Irvine, Beckman Laser Institute and Medical Clinic, 1002 Health Sciences Road, Irvine, California 92612, United States.
You Me KimDankook University College of Medicine, Beckman Laser Institute Korea, 119 Dandae-ro, Dongnam-gu, Cheonan-si, Chungnam 31116, Republic of KoreacDankook University College of Medicine, Department of Radiology, Dankook University Hospital, 201 Manghyang-ro.
Jun Won MinDankook University College of Medicine, Beckman Laser Institute Korea, 119 Dandae-ro, Dongnam-gu, Cheonan-si, Chungnam 31116, Republic of KoreadDankook University College of Medicine, Department of Surgery, 119 Dandae-ro, Dongnam-gu, Cheonan-si, Chungnam.
Christine E McLarenUniversity of California Irvine, Department of Epidemiology, 1 Medical Plaza Drive, Irvine, California 92697-7550, United StatesfUniversity of California Irvine, Chao Family Comprehensive Cancer Center, Irvine Medical Center, 101 The City Drive South, Ora.
Wen-Pin ChenUniversity of California Irvine, Chao Family Comprehensive Cancer Center, Irvine Medical Center, 101 The City Drive South, Orange, California 92868, United States.
Thomas D O'SullivanUniversity of California Irvine, Beckman Laser Institute and Medical Clinic, 1002 Health Sciences Road, Irvine, California 92612, United States.
Seung-Ha LeeDankook University College of Medicine, Beckman Laser Institute Korea, 119 Dandae-ro, Dongnam-gu, Cheonan-si, Chungnam 31116, Republic of KoreagDankook University College of Medicine, Department of Biomedical Engineering, 119, Dandae-ro, Dongnam-gu, Cheon.
Phil-Sang ChungDankook University College of Medicine, Beckman Laser Institute Korea, 119 Dandae-ro, Dongnam-gu, Cheonan-si, Chungnam 31116, Republic of KoreahDankook University College of Medicine, Department of Otolaryngology-Head and Neck Surgery, 29-1 Anseo-dong, Ch.
Bruce J TrombergUniversity of California Irvine, Beckman Laser Institute and Medical Clinic, 1002 Health Sciences Road, Irvine, California 92612, United States.
Dankook University · KRUniversity of California, Irvine · USUniversity of California, Irvine Medical Center · USBeckman Laser Institute and Medical Clinic · USDankook University Hospital · KR

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
Virtual Photonocs TechnologiesP41EB015890 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI DURKIN, ANTHONY · 2012 to 2017
$7.0M
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
NCATS NIH HHS UL1 TR001414NCI NIH HHS P30 CA062203NCI NIH HHS R01 CA142989NCI NIH HHS U54 CA136400NIBIB NIH HHS P41 EB015890
6 · The paper itself

Abstract

Young patients with dense breasts have a relatively low-positive biopsy rate for breast cancer (∼1 in 7). South Korean women have higher breast density than Westerners. We investigated the benefit of using a functional and metabolic imaging technique, diffuse optical spectroscopic imaging (DOSI), to help the standard of care imaging tools to distinguish benign from malignant lesions in premenopausal Korean women. DOSI uses near-infrared light to measure breast tissue composition by quantifying tissue concentrations of water (ctH2O), bulk lipid (ctLipid), deoxygenated (ctHHb), and oxygenated (ctHbO2) hemoglobin. DOSI spectral signatures specific to abnormal tissue and absent in healthy tissue were also used to form a malignancy index. This study included 19 premenopausal subjects (average age 41±9), corresponding to 11 benign and 10 malignant lesions. Elevated lesion to normal ratio of ctH2O, ctHHb, ctHbO2, total hemoglobin (THb=ctHHb+ctHbO2), and tissue optical index (ctHHb×ctH2O/ctLipid) were observed in the malignant lesions compared to the benign lesions (p<0.02). THb and malignancy index were the two best single predictors of malignancy, with >90% sensitivity and specificity. Malignant lesions showed significantly higher metabolism and perfusion than benign lesions. DOSI spectral features showed high discriminatory power for distinguishing malignant and benign lesions in dense breasts of the Korean population.

Indexed as

AdultBreastBreast NeoplasmsDiagnosis, DifferentialFemaleHumansMiddle AgedOptical ImagingRepublic of KoreaSensitivity and SpecificitySpectroscopy, Near-Infrared

Identifiers

PMID27436049
PMCPMC4951543
OpenAlexW2499133257

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.