Evidence map›Paper›PMID 30258308›Full record

ArticleThe Yale journal of biology and medicine2018

Vibroacoustographic System for Tumor Identification.

Peter A Pellionisz, Nikan K Namiri, Gregory Suematsu, Yong Hu, Ameet Braganza, Khuzaima Rangwalla, Daniel J Denson, Karam Badran, Nathan C Francis, Ashkan Maccabi and 4 more

Abstract read
PubMed Full text at PMC
In one paragraph

Article in The Yale journal of biology and medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

14 authors.

Peter A PellioniszDepartment of Head and Neck Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA.
Nikan K NamiriCenter for Advanced Surgical and Interventional Technology at Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA.
Gregory SuematsuDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, UCLA, Los Angeles, CA.
Yong HuDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, UCLA, Los Angeles, CA.
Ameet BraganzaDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, UCLA, Los Angeles, CA.
Khuzaima RangwallaDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, UCLA, Los Angeles, CA.
Daniel J DensonDepartment of Physiological Sciences, UCLA, Los Angeles, CA.
Karam BadranUCLA Head and Neck Cancer Program, David Geffen School of Medicine at UCLA, Los Angeles, CA.
Nathan C FrancisDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, UCLA, Los Angeles, CA.
Ashkan MaccabiDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, UCLA, Los Angeles, CA.
George SaddikDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, UCLA, Los Angeles, CA.
Zachary TaylorUCLA Head and Neck Cancer Program, David Geffen School of Medicine at UCLA, Los Angeles, CA.
Maie A St JohnDepartment of Head and Neck Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA.
Warren S GrundfestDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Sciences, UCLA, Los Angeles, CA.

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
NCI NIH HHS P30 CA016042
6 · The paper itself

Abstract

Oral and head and neck squamous cell carcinoma (OSCC) is the sixth most common cancer worldwide. The primary management of OSCC relies on complete surgical resection of the tumor. Margin-free resection, however, is difficult given the devastating effects of aggressive surgery. Currently, surgeons determine where cuts are made by palpating edges of the tumor. Accuracy varies based on the surgeon's experience, the location and type of tumor, and the risk of damage to adjacent structures limiting resection margins. To fulfill this surgical need, we contrast tissue regions by identifying disparities in viscoelasticity by mixing two ultrasonic beams to produce a beat frequency, a technique termed vibroacoustography (VA). In our system, an extended focal length of the acoustic stress field yields surgeons' high resolution to detect focal lesions in deep tissue. VA offers 3D imaging by focusing its imaging plane at multiple axial cross-sections within tissue. Our efforts culminate in production of a mobile VA system generating image contrast between normal and abnormal tissue in minutes. We model the spatial direction of the generated acoustic field and generate images from tissue-mimicking phantoms and

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsHumansImaging, Three-DimensionalKinetocardiographyhead and neck cancerintraoperative imagingtumor imaging

Identifiers

PMID30258308
PMCPMC6153624

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.