Evidence map›Paper›PMID 26937708›Full record

ArticleRadiology2016

Assessment of Functional Differences in Malignant and Benign Breast Lesions and Improvement of Diagnostic Accuracy by Using US-guided Diffuse Optical Tomography in Conjunction with Conventional US.

Quing Zhu, Andrew Ricci, Poornima Hegde, Mark Kane, Edward Cronin, Alex Merkulov, Yan Xu, Behnoosh Tavakoli, Susan Tannenbaum

Registry-linked trialAbstract read
In one paragraph

Article in Radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06468566 (Identification of Benign and Malignant Breast Nodules Using Opalogram Ultrasonography), which is not on this map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
6.3field-weighted citation impact, top 3% 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.

NCT06468566 unknown statusnot on this mapstarted 2024, after this paper: background citation

Identification of Benign and Malignant Breast Nodules Using Opalogram Ultrasonography: A Multicenter Study

TypeobservationalSponsorXin-Wu CuiRan2024 to 2026Enrolled2,000ConditionsBreast Cancer FemaleArmsUltrasound light scattering imaging equipment
3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 67 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 2 institutions in 1 country.

Quing ZhuFrom the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn.
Andrew RicciFrom the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn.
Poornima HegdeFrom the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn.
Mark KaneFrom the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn.
Edward CroninFrom the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn.
Alex MerkulovFrom the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn.
Yan XuFrom the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn.
Behnoosh TavakoliFrom the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn.
Susan TannenbaumFrom the Department of Electrical and Biomedical Engineering (Q.Z.) and Department of Electrical and Computer Engineering (Y.X., B.T.), University of Connecticut, 371 Fairfield Rd, U4157, Storrs, CT 06269; Departments of Pathology (A.R.) and Radiology (E.C.), Hartford Hospital, Hartford, Conn; and Department of Pathology (P.H.), Department of Radiology (M.K., A.M.), and Carole & Ray Neag Comprehensive Cancer Center (S.T.), University of Connecticut Health Center, Farmington, Conn.
University of Connecticut · USHartford Hospital · US

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 EB002136
6 · The paper itself

Abstract

Purpose To investigate ultrasonography (US)-guided diffuse optical tomography to distinguish the functional differences of hemoglobin concentrations in a wide range of malignant and benign breast lesions and to improve breast cancer diagnosis in conjunction with conventional US. Materials and Methods The study protocol was approved by the institutional review boards and was HIPAA compliant. Written informed consent was obtained from all patients. Patients (288 women; mean age, 50 years; range, 17-94 years) who underwent US-guided biopsy were imaged with a handheld US and optical probe. The US-imaged lesion was used to guide reconstruction of light absorption maps at four wavelengths, and total hemoglobin (tHb), oxygenated hemoglobin (oxyHb), and deoxygenated hemoglobin (deoxyHb) were computed from the absorption maps. A threshold (80 μmol/L) was chosen on the basis of this study population. Two radiologists retrospectively evaluated US images on the basis of the US Breast Imaging Reporting and Data System lexicon, and a lesion was considered malignant when a score of 4C or 5 was given or a lesion had tHb greater than 80 μmol/L. A two-sample t test was used to calculate significance between groups, and Spearman ρ was computed between hemoglobin parameters and tumor pathologic grades. Results Three tumors were Tis, 37 were T1, 19 were T2-T4 carcinomas, and 233 were benign lesions. The mean maximum tHb, oxyHb, and deoxyHb of Tis-T1 and T2-T4 groups were 89.3 μmol/L ± 20.2 (standard deviation), 65.0 μmol/L ± 20.8, and 33.5 μmol/L ± 11.3, respectively, and 84.7 μmol/L ± 32.8, 57.1 μmol/L ± 19.8, and 34.7 μmol/L ± 18.9, respectively. The corresponding values of benign lesions were 54.1 μmol/L ± 23.5, 38.0 μmol/L ± 17.4, and 25.2 μmol/L ± 13.8, respectively. The mean maximum tHb, oxyHb, and deoxyHb were significantly higher in the malignant groups than the benign group (P <.001, <.001, and .041, respectively). For malignant lesions, the mean maximum tHb moderately correlated with tumor histologic grade and nuclear grade (ρ = 0.283 and 0.315, respectively). The mean maximum oxyHb moderately correlated with tumor nuclear grade (ρ = 0.267). When radiologists' US diagnosis and the tHb were used together, the sensitivity, specificity, positive predictive value, and negative predictive value were 96.6%-100%, 77.3%-83.3%, 52.7%-59.4%, and 99.0%-100%, respectively, for the combined malignant group. Conclusion The tHb and oxyHb correlate with breast cancer pathologic grade and can be used as an adjunct to US to improve sensitivity and negative predictive value in breast cancer diagnosis. (©) RSNA, 2016 Online supplemental material is available for this article.

Indexed as

AdolescentAdultAgedAged, 80 and overBreastBreast DiseasesBreast NeoplasmsFemaleHumansMiddle AgedReproducibility of ResultsSensitivity and SpecificityTomography, OpticalUltrasonography, InterventionalUltrasonography, MammaryYoung Adult

Identifiers

PMID26937708
PMCPMC4976463
OpenAlexW2292676122

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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.