Evidence map›Paper›PMID 31869750›Full record

ArticleTranslational oncology2020

Ultrasound Guided Optoacoustic Tomography in Assessment of Tumor Margins for Lumpectomies.

Yonggeng Goh, Ghayathri Balasundaram, Mohesh Moothanchery, Amalina Attia, Xiuting Li, Hann Qian Lim, Neal C Burton, Yi Qiu, Thomas Choudary Putti, Ching Wan Chan and 14 more

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Assessment of Breast Tumors Using Multispectral Optoacoustic Tomography in a Surgical Setting.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
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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

24 authors at 4 institutions in 2 countries.

Yonggeng GohDepartment of Diagnostic Imaging, National University Hospital, Singapore.
Ghayathri BalasundaramLaboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Singapore.
Mohesh MoothancheryLaboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Singapore.
Amalina AttiaLaboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Singapore.
Xiuting LiLaboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Singapore.
Hann Qian LimLaboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Singapore.
Neal C BurtonIThera Medical GmbH, Germany.
Yi QiuIThera Medical GmbH, Germany.
Thomas Choudary PuttiDepartment of Pathology, National University Hospital, Singapore.
Ching Wan ChanDepartment of Breast Surgery, National University Hospital, Singapore.
Philip IauDepartment of Breast Surgery, National University Hospital, Singapore.
Shaik Ahmad BuhariDepartment of Breast Surgery, National University Hospital, Singapore.
Mikael HartmanDepartment of Breast Surgery, National University Hospital, Singapore.
Siau Wei TangDepartment of Breast Surgery, National University Hospital, Singapore.
Celene Wei Qi NgDepartment of Breast Surgery, National University Hospital, Singapore.
Yiong Huak ChanDepartment of Biostatistics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Felicity Jane PoolDepartment of Diagnostic Imaging, National University Hospital, Singapore.
Premilla PillayDepartment of Diagnostic Imaging, National University Hospital, Singapore.
Wynne ChuaDepartment of Diagnostic Imaging, National University Hospital, Singapore.
Jeevesh KapurDepartment of Diagnostic Imaging, National University Hospital, Singapore.
Pooja JagmohanDepartment of Diagnostic Imaging, National University Hospital, Singapore.
Eide SterlingDepartment of Diagnostic Imaging, National University Hospital, Singapore.
Swee Tian QuekDepartment of Diagnostic Imaging, National University Hospital, Singapore.
Malini OlivoLaboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Singapore. Electronic address: Malini_Olivo@sbic.a-star.edu.sg.
National University Hospital · SGSingapore Bioimaging Consortium · SGiThera Medical (Germany) · DENational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the accuracy of a handheld ultrasound-guided optoacoustic tomography (US-OT) probe developed for human deep-tissue imaging in ex vivo assessment of tumor margins postlumpectomy.

methodsA custom-built two-dimensional (2D) US-OT-handheld probe was used to scan 15 lumpectomy breast specimens. Optoacoustic signals acquired at multiple wavelengths between 700 and 1100 nm were reconstructed using model linear algorithm, followed by spectral unmixing for lipid and deoxyhemoglobin (Hb). Distribution maps of lipid and Hb on the anterior, posterior, superior, inferior, medial, and lateral margins of the specimens were inspected for margin involvement, and results were correlated with histopathologic findings. The agreement in tumor margin assessment between US-OT and histopathology was determined using the Bland-Altman plot. Accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of margin assessment using US-OT were calculated.

resultsNinety margins (6 × 15 specimens) were assessed. The US-OT probe resolved blood vessels and lipid up to a depth of 6 mm. Negative and positive margins were discriminated by marked differences in the distribution patterns of lipid and Hb. US-OT assessments were concordant with histopathologic findings in 87 of 89 margins assessed (one margin was uninterpretable and excluded), with diagnostic accuracy of 97.9% (kappa = 0.79). The sensitivity, specificity, PPV, and NPV were 100% (4/4), 97.6% (83/85), 66.7% (4/6), and 100% (83/83), respectively.

conclusionUS-OT was capable of providing distribution maps of lipid and Hb in lumpectomy specimens that predicted tumor margins with high sensitivity and specificity, making it a potential tool for intraoperative tumor margin assessment.

Identifiers

PMID31869750
PMCPMC6931190
OpenAlexW2995090186

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.